Hugging Face's logo

Datasets:
fastmachinelearning
/
wa-hls4ml

Tasks:
Tabular Regression
Tabular Classification
Languages:
English
Size:
100K<n<1M
Tags:
FPGA
hls4ml
HLS
VHDL
GNN
Transformer
License:
Dataset card Data Studio Files
xet
Community
2
bhawks commited on
Commit
3d80154
·
verified ·
1 Parent(s): 695de41

Add files using upload-large-folder tool

Browse files
Files changed (50) hide show
  1. exemplar/exemplar_models.json +0 -0
  2. test/2layer/dense_104_128_104_10b_rf3070_processed.json +130 -0
  3. test/2layer/dense_104_128_104_12b_rf2047_processed.json +130 -0
  4. test/2layer/dense_104_128_104_2b_rf1024_processed.json +130 -0
  5. test/2layer/dense_104_128_104_4b_rf4093_processed.json +130 -0
  6. test/2layer/dense_104_128_112_10b_rf1024_processed.json +130 -0
  7. test/2layer/dense_104_128_112_10b_rf4093_processed.json +130 -0
  8. test/2layer/dense_104_128_112_14b_rf3070_processed.json +130 -0
  9. test/2layer/dense_104_128_112_16b_rf4093_processed.json +130 -0
  10. test/2layer/dense_104_128_112_4b_rf4093_processed.json +130 -0
  11. test/2layer/dense_104_128_120_10b_rf2047_processed.json +130 -0
  12. test/2layer/dense_104_128_120_16b_rf4093_processed.json +130 -0
  13. test/2layer/dense_104_128_120_6b_rf4093_processed.json +130 -0
  14. test/2layer/dense_104_128_128_12b_rf4093_processed.json +130 -0
  15. test/2layer/dense_104_128_128_14b_rf1024_processed.json +130 -0
  16. test/2layer/dense_104_128_128_16b_rf3070_processed.json +130 -0
  17. test/2layer/dense_104_128_128_2b_rf2047_processed.json +130 -0
  18. test/2layer/dense_104_128_56_10b_rf1024_processed.json +130 -0
  19. test/2layer/dense_104_128_56_12b_rf3070_processed.json +130 -0
  20. test/2layer/dense_104_128_56_14b_rf1024_processed.json +130 -0
  21. test/2layer/dense_104_128_56_16b_rf3070_processed.json +130 -0
  22. test/2layer/dense_104_128_56_2b_rf3070_processed.json +130 -0
  23. test/2layer/dense_104_128_64_16b_rf4093_processed.json +130 -0
  24. test/2layer/dense_104_128_64_6b_rf4093_processed.json +130 -0
  25. test/2layer/dense_104_128_72_14b_rf3070_processed.json +130 -0
  26. test/2layer/dense_104_128_72_14b_rf4093_processed.json +130 -0
  27. test/2layer/dense_104_128_72_16b_rf2047_processed.json +130 -0
  28. test/2layer/dense_104_128_72_2b_rf2047_processed.json +130 -0
  29. test/2layer/dense_104_128_72_2b_rf4093_processed.json +130 -0
  30. test/2layer/dense_104_128_72_6b_rf3070_processed.json +130 -0
  31. test/2layer/dense_104_128_80_14b_rf4093_processed.json +130 -0
  32. test/2layer/dense_104_128_80_2b_rf1024_processed.json +130 -0
  33. test/2layer/dense_104_128_80_2b_rf3070_processed.json +130 -0
  34. test/2layer/dense_104_128_88_2b_rf1024_processed.json +130 -0
  35. test/2layer/dense_104_128_88_2b_rf2047_processed.json +130 -0
  36. test/2layer/dense_104_128_88_6b_rf1024_processed.json +130 -0
  37. test/2layer/dense_104_128_96_2b_rf1024_processed.json +130 -0
  38. test/2layer/dense_104_128_96_2b_rf2047_processed.json +130 -0
  39. test/2layer/dense_104_16_104_10b_rf4093_processed.json +130 -0
  40. test/2layer/dense_104_16_104_12b_rf1024_processed.json +130 -0
  41. test/2layer/dense_104_16_104_14b_rf1024_processed.json +130 -0
  42. test/2layer/dense_104_16_104_14b_rf4093_processed.json +130 -0
  43. test/2layer/dense_104_16_104_16b_rf2047_processed.json +130 -0
  44. test/2layer/dense_104_16_104_2b_rf2047_processed.json +130 -0
  45. test/2layer/dense_104_16_104_2b_rf3070_processed.json +130 -0
  46. test/2layer/dense_104_16_104_4b_rf2047_processed.json +130 -0
  47. test/2layer/dense_104_16_104_4b_rf4093_processed.json +130 -0
  48. test/2layer/dense_104_16_112_16b_rf4093_processed.json +130 -0
  49. test/2layer/dense_104_16_112_2b_rf4093_processed.json +130 -0
  50. test/2layer/dense_104_16_112_8b_rf1024_processed.json +130 -0
exemplar/exemplar_models.json ADDED
The diff for this file is too large to render. See raw diff
 
test/2layer/dense_104_128_104_10b_rf3070_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "5fac14c1-b676-4056-acba-c156abe1aeee",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_104_10b",
5
+ "artifacts_file": "5fac14c1-b676-4056-acba-c156abe1aeee.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_104_10b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 104
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_104_10b_dense_1"
40
+ ],
41
+ "parameters": 13416,
42
+ "trainable_parameters": 13416,
43
+ "neurons": 104,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 3328
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 3070,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_104_10b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 3070
64
+ },
65
+ "dense_104_128_104_10b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<10,1>",
70
+ "bias": "fixed<10,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 3070
74
+ },
75
+ "dense_104_128_104_10b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 3070,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_104_10b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<10,1>",
89
+ "bias": "fixed<10,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 3070
93
+ },
94
+ "dense_104_128_104_10b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 3070,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2",
107
+ "dsp": "8",
108
+ "ff": "21408",
109
+ "lut": "34523",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "32",
114
+ "dsp": "8",
115
+ "ff": "19801",
116
+ "lut": "25656",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "6659",
121
+ "cycles_max": "6661",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.797",
124
+ "interval_max": "3328",
125
+ "interval_min": "3328"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_104_12b_rf2047_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "e7a97c72-428b-4055-96a7-7bf0de511f8e",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_104_12b",
5
+ "artifacts_file": "e7a97c72-428b-4055-96a7-7bf0de511f8e.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_104_12b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 104
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_104_12b_dense_1"
40
+ ],
41
+ "parameters": 13416,
42
+ "trainable_parameters": 13416,
43
+ "neurons": 104,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1664
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 2047,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_104_12b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 2047
64
+ },
65
+ "dense_104_128_104_12b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<12,1>",
70
+ "bias": "fixed<12,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 2047
74
+ },
75
+ "dense_104_128_104_12b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 2047,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_104_12b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<12,1>",
89
+ "bias": "fixed<12,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 2047
93
+ },
94
+ "dense_104_128_104_12b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 2047,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "1",
107
+ "dsp": "16",
108
+ "ff": "21371",
109
+ "lut": "38450",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "66",
114
+ "dsp": "16",
115
+ "ff": "19907",
116
+ "lut": "26178",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3331",
121
+ "cycles_max": "3333",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.770",
124
+ "interval_max": "1664",
125
+ "interval_min": "1664"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_104_2b_rf1024_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "0d4047a7-c2a3-4729-a7de-4f058b92c2ea",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_104_2b",
5
+ "artifacts_file": "0d4047a7-c2a3-4729-a7de-4f058b92c2ea.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_104_2b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 832
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 104
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_104_2b_dense_1"
40
+ ],
41
+ "parameters": 13416,
42
+ "trainable_parameters": 13416,
43
+ "neurons": 104,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1024
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 1024,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_104_2b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 1024
64
+ },
65
+ "dense_104_128_104_2b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<2,1>",
70
+ "bias": "fixed<2,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 1024
74
+ },
75
+ "dense_104_128_104_2b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 1024,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_104_2b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<2,1>",
89
+ "bias": "fixed<2,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 1024
93
+ },
94
+ "dense_104_128_104_2b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 1024,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "16",
107
+ "dsp": "0",
108
+ "ff": "21438",
109
+ "lut": "29485",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "32",
114
+ "dsp": "0",
115
+ "ff": "19767",
116
+ "lut": "25830",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "1859",
121
+ "cycles_max": "1861",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.217",
124
+ "interval_max": "1024",
125
+ "interval_min": "1024"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_104_4b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "e58749b2-96d8-4fa3-bd36-22be4f2d1ed7",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_104_4b",
5
+ "artifacts_file": "e58749b2-96d8-4fa3-bd36-22be4f2d1ed7.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_104_4b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 104
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_104_4b_dense_1"
40
+ ],
41
+ "parameters": 13416,
42
+ "trainable_parameters": 13416,
43
+ "neurons": 104,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 3328
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_104_4b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_128_104_4b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<4,1>",
70
+ "bias": "fixed<4,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_128_104_4b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_104_4b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<4,1>",
89
+ "bias": "fixed<4,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_128_104_4b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "5",
107
+ "dsp": "0",
108
+ "ff": "21532",
109
+ "lut": "26539",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "12",
114
+ "dsp": "0",
115
+ "ff": "19801",
116
+ "lut": "25650",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "6659",
121
+ "cycles_max": "6661",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.797",
124
+ "interval_max": "3328",
125
+ "interval_min": "3328"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_112_10b_rf1024_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "5a41614f-ddce-4bb1-ab94-8e4e05d08e3d",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_112_10b",
5
+ "artifacts_file": "5a41614f-ddce-4bb1-ab94-8e4e05d08e3d.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_112_10b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 832
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 112
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_112_10b_dense_1"
40
+ ],
41
+ "parameters": 14448,
42
+ "trainable_parameters": 14448,
43
+ "neurons": 112,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1024
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 1024,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_112_10b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 1024
64
+ },
65
+ "dense_104_128_112_10b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<10,1>",
70
+ "bias": "fixed<10,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 1024
74
+ },
75
+ "dense_104_128_112_10b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 1024,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_112_10b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<10,1>",
89
+ "bias": "fixed<10,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 1024
93
+ },
94
+ "dense_104_128_112_10b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 1024,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "61",
107
+ "dsp": "30",
108
+ "ff": "21669",
109
+ "lut": "29504",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "107",
114
+ "dsp": "30",
115
+ "ff": "20205",
116
+ "lut": "25652",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "1859",
121
+ "cycles_max": "1861",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.002",
124
+ "interval_max": "1024",
125
+ "interval_min": "1024"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_112_10b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "75e9f972-1e4c-47dc-aaf9-068f8b363b30",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_112_10b",
5
+ "artifacts_file": "75e9f972-1e4c-47dc-aaf9-068f8b363b30.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_112_10b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 112
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_112_10b_dense_1"
40
+ ],
41
+ "parameters": 14448,
42
+ "trainable_parameters": 14448,
43
+ "neurons": 112,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 3584
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_112_10b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_128_112_10b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<10,1>",
70
+ "bias": "fixed<10,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_128_112_10b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_112_10b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<10,1>",
89
+ "bias": "fixed<10,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_128_112_10b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2",
107
+ "dsp": "8",
108
+ "ff": "21727",
109
+ "lut": "34788",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "32",
114
+ "dsp": "8",
115
+ "ff": "20057",
116
+ "lut": "26136",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "6915",
121
+ "cycles_max": "6917",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.829",
124
+ "interval_max": "3584",
125
+ "interval_min": "3584"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_112_14b_rf3070_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "d0e27f18-627e-4583-93ef-d0117671174c",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_112_14b",
5
+ "artifacts_file": "d0e27f18-627e-4583-93ef-d0117671174c.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_112_14b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 112
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_112_14b_dense_1"
40
+ ],
41
+ "parameters": 14448,
42
+ "trainable_parameters": 14448,
43
+ "neurons": 112,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 3584
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 3070,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_112_14b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 3070
64
+ },
65
+ "dense_104_128_112_14b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<14,1>",
70
+ "bias": "fixed<14,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 3070
74
+ },
75
+ "dense_104_128_112_14b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 3070,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_112_14b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<14,1>",
89
+ "bias": "fixed<14,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 3070
93
+ },
94
+ "dense_104_128_112_14b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 3070,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2",
107
+ "dsp": "8",
108
+ "ff": "21727",
109
+ "lut": "38681",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "46",
114
+ "dsp": "8",
115
+ "ff": "20057",
116
+ "lut": "26136",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "6915",
121
+ "cycles_max": "6917",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.829",
124
+ "interval_max": "3584",
125
+ "interval_min": "3584"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_112_16b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "ba7cf124-c29d-41f8-9af8-aeaf0e531bf2",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_112_16b",
5
+ "artifacts_file": "ba7cf124-c29d-41f8-9af8-aeaf0e531bf2.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_112_16b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 112
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_112_16b_dense_1"
40
+ ],
41
+ "parameters": 14448,
42
+ "trainable_parameters": 14448,
43
+ "neurons": 112,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 3584
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_112_16b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_128_112_16b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<16,1>",
70
+ "bias": "fixed<16,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_128_112_16b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_112_16b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<16,1>",
89
+ "bias": "fixed<16,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_128_112_16b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2",
107
+ "dsp": "8",
108
+ "ff": "21749",
109
+ "lut": "40683",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "50",
114
+ "dsp": "8",
115
+ "ff": "20065",
116
+ "lut": "26136",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "6915",
121
+ "cycles_max": "6917",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.829",
124
+ "interval_max": "3584",
125
+ "interval_min": "3584"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_112_4b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "2934eb4d-fae4-44f4-91c2-73ff0ce7380d",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_112_4b",
5
+ "artifacts_file": "2934eb4d-fae4-44f4-91c2-73ff0ce7380d.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_112_4b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 112
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_112_4b_dense_1"
40
+ ],
41
+ "parameters": 14448,
42
+ "trainable_parameters": 14448,
43
+ "neurons": 112,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 3584
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_112_4b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_128_112_4b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<4,1>",
70
+ "bias": "fixed<4,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_128_112_4b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_112_4b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<4,1>",
89
+ "bias": "fixed<4,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_128_112_4b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "3",
107
+ "dsp": "0",
108
+ "ff": "21878",
109
+ "lut": "28207",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "12",
114
+ "dsp": "0",
115
+ "ff": "20057",
116
+ "lut": "26130",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "6915",
121
+ "cycles_max": "6917",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.829",
124
+ "interval_max": "3584",
125
+ "interval_min": "3584"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_120_10b_rf2047_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "0cf44340-13e5-4bcc-8812-f06e7438c2b4",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_120_10b",
5
+ "artifacts_file": "0cf44340-13e5-4bcc-8812-f06e7438c2b4.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_120_10b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 120
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_120_10b_dense_1"
40
+ ],
41
+ "parameters": 15480,
42
+ "trainable_parameters": 15480,
43
+ "neurons": 120,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1920
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 2047,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_120_10b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 2047
64
+ },
65
+ "dense_104_128_120_10b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<10,1>",
70
+ "bias": "fixed<10,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 2047
74
+ },
75
+ "dense_104_128_120_10b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 2047,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_120_10b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<10,1>",
89
+ "bias": "fixed<10,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 2047
93
+ },
94
+ "dense_104_128_120_10b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 2047,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "1",
107
+ "dsp": "16",
108
+ "ff": "22003",
109
+ "lut": "37691",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "62",
114
+ "dsp": "16",
115
+ "ff": "20419",
116
+ "lut": "27057",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3587",
121
+ "cycles_max": "3589",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.770",
124
+ "interval_max": "1920",
125
+ "interval_min": "1920"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_120_16b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "fc1f2cac-c0d8-4336-840e-83cdde16f323",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_120_16b",
5
+ "artifacts_file": "fc1f2cac-c0d8-4336-840e-83cdde16f323.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_120_16b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 120
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_120_16b_dense_1"
40
+ ],
41
+ "parameters": 15480,
42
+ "trainable_parameters": 15480,
43
+ "neurons": 120,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 3840
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_120_16b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_128_120_16b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<16,1>",
70
+ "bias": "fixed<16,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_128_120_16b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_120_16b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<16,1>",
89
+ "bias": "fixed<16,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_128_120_16b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2",
107
+ "dsp": "8",
108
+ "ff": "22062",
109
+ "lut": "42727",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "52",
114
+ "dsp": "8",
115
+ "ff": "20321",
116
+ "lut": "26600",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "7171",
121
+ "cycles_max": "7173",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.770",
124
+ "interval_max": "3840",
125
+ "interval_min": "3840"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_120_6b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "c6e9d227-1a59-44d1-a2f6-b609056a5322",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_120_6b",
5
+ "artifacts_file": "c6e9d227-1a59-44d1-a2f6-b609056a5322.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_120_6b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 120
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_120_6b_dense_1"
40
+ ],
41
+ "parameters": 15480,
42
+ "trainable_parameters": 15480,
43
+ "neurons": 120,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 3840
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_120_6b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_128_120_6b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<6,1>",
70
+ "bias": "fixed<6,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_128_120_6b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_120_6b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<6,1>",
89
+ "bias": "fixed<6,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_128_120_6b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "4",
107
+ "dsp": "0",
108
+ "ff": "22173",
109
+ "lut": "30236",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "18",
114
+ "dsp": "0",
115
+ "ff": "20313",
116
+ "lut": "26594",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "7171",
121
+ "cycles_max": "7173",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.770",
124
+ "interval_max": "3840",
125
+ "interval_min": "3840"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_128_12b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "2fbf18b6-72c1-4c26-877c-e5e7c2c03fb4",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_128_12b",
5
+ "artifacts_file": "2fbf18b6-72c1-4c26-877c-e5e7c2c03fb4.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_128_12b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 128
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_128_12b_dense_1"
40
+ ],
41
+ "parameters": 16512,
42
+ "trainable_parameters": 16512,
43
+ "neurons": 128,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 4096
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_128_12b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_128_128_12b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<12,1>",
70
+ "bias": "fixed<12,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_128_128_12b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_128_12b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<12,1>",
89
+ "bias": "fixed<12,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_128_128_12b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2",
107
+ "dsp": "8",
108
+ "ff": "22359",
109
+ "lut": "36479",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "40",
114
+ "dsp": "8",
115
+ "ff": "20569",
116
+ "lut": "26987",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "7427",
121
+ "cycles_max": "7429",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.770",
124
+ "interval_max": "4096",
125
+ "interval_min": "4096"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_128_14b_rf1024_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "fb349b6b-4a89-4e6f-99a8-3ec5b01547c2",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_128_14b",
5
+ "artifacts_file": "fb349b6b-4a89-4e6f-99a8-3ec5b01547c2.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_128_14b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 832
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 128
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_128_14b_dense_1"
40
+ ],
41
+ "parameters": 16512,
42
+ "trainable_parameters": 16512,
43
+ "neurons": 128,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1024
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 1024,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_128_14b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 1024
64
+ },
65
+ "dense_104_128_128_14b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<14,1>",
70
+ "bias": "fixed<14,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 1024
74
+ },
75
+ "dense_104_128_128_14b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 1024,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_128_14b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<14,1>",
89
+ "bias": "fixed<14,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 1024
93
+ },
94
+ "dense_104_128_128_14b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 1024,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "97",
107
+ "dsp": "32",
108
+ "ff": "22303",
109
+ "lut": "29778",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "178",
114
+ "dsp": "32",
115
+ "ff": "20861",
116
+ "lut": "26562",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "1859",
121
+ "cycles_max": "1861",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.002",
124
+ "interval_max": "1024",
125
+ "interval_min": "1024"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_128_16b_rf3070_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "109e497e-68ee-4fa9-86ae-5e9bca8b582a",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_128_16b",
5
+ "artifacts_file": "109e497e-68ee-4fa9-86ae-5e9bca8b582a.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_128_16b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 128
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_128_16b_dense_1"
40
+ ],
41
+ "parameters": 16512,
42
+ "trainable_parameters": 16512,
43
+ "neurons": 128,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 2048
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 3070,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_128_16b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 3070
64
+ },
65
+ "dense_104_128_128_16b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<16,1>",
70
+ "bias": "fixed<16,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 3070
74
+ },
75
+ "dense_104_128_128_16b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 3070,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_128_16b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<16,1>",
89
+ "bias": "fixed<16,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 3070
93
+ },
94
+ "dense_104_128_128_16b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 3070,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "1.5",
107
+ "dsp": "12",
108
+ "ff": "22334",
109
+ "lut": "39319",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "81",
114
+ "dsp": "12",
115
+ "ff": "20634",
116
+ "lut": "27138",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "5379",
121
+ "cycles_max": "5381",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.770",
124
+ "interval_max": "3328",
125
+ "interval_min": "3328"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_128_2b_rf2047_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "1b908cf8-cd4d-451a-8a75-2375daf13258",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_128_2b",
5
+ "artifacts_file": "1b908cf8-cd4d-451a-8a75-2375daf13258.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_128_2b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 128
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_128_2b_dense_1"
40
+ ],
41
+ "parameters": 16512,
42
+ "trainable_parameters": 16512,
43
+ "neurons": 128,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 2048
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 2047,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_128_2b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 2047
64
+ },
65
+ "dense_104_128_128_2b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<2,1>",
70
+ "bias": "fixed<2,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 2047
74
+ },
75
+ "dense_104_128_128_2b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 2047,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_128_2b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<2,1>",
89
+ "bias": "fixed<2,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 2047
93
+ },
94
+ "dense_104_128_128_2b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 2047,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "9",
107
+ "dsp": "0",
108
+ "ff": "22322",
109
+ "lut": "28266",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "18",
114
+ "dsp": "0",
115
+ "ff": "20515",
116
+ "lut": "27709",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3715",
121
+ "cycles_max": "3717",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.180",
124
+ "interval_max": "2048",
125
+ "interval_min": "2048"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_56_10b_rf1024_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "e40a33f5-7bb9-485f-861e-6fb9fe7010bf",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_56_10b",
5
+ "artifacts_file": "e40a33f5-7bb9-485f-861e-6fb9fe7010bf.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_56_10b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 832
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 56
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_56_10b_dense_1"
40
+ ],
41
+ "parameters": 7224,
42
+ "trainable_parameters": 7224,
43
+ "neurons": 56,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1024
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 1024,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_56_10b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 1024
64
+ },
65
+ "dense_104_128_56_10b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<10,1>",
70
+ "bias": "fixed<10,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 1024
74
+ },
75
+ "dense_104_128_56_10b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 1024,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_56_10b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<10,1>",
89
+ "bias": "fixed<10,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 1024
93
+ },
94
+ "dense_104_128_56_10b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 1024,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "41",
107
+ "dsp": "23",
108
+ "ff": "19476",
109
+ "lut": "26059",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "74",
114
+ "dsp": "23",
115
+ "ff": "18357",
116
+ "lut": "22418",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "1859",
121
+ "cycles_max": "1861",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.002",
124
+ "interval_max": "1024",
125
+ "interval_min": "1024"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_56_12b_rf3070_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "ad3cd980-4ec7-463a-81ea-1d06550291d0",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_56_12b",
5
+ "artifacts_file": "ad3cd980-4ec7-463a-81ea-1d06550291d0.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_56_12b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 56
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_56_12b_dense_1"
40
+ ],
41
+ "parameters": 7224,
42
+ "trainable_parameters": 7224,
43
+ "neurons": 56,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 3584
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 3070,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_56_12b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 3070
64
+ },
65
+ "dense_104_128_56_12b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<12,1>",
70
+ "bias": "fixed<12,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 3070
74
+ },
75
+ "dense_104_128_56_12b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 3070,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_56_12b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<12,1>",
89
+ "bias": "fixed<12,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 3070
93
+ },
94
+ "dense_104_128_56_12b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 3070,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2",
107
+ "dsp": "6",
108
+ "ff": "19522",
109
+ "lut": "29838",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "28",
114
+ "dsp": "6",
115
+ "ff": "18237",
116
+ "lut": "22628",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "6915",
121
+ "cycles_max": "6917",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.829",
124
+ "interval_max": "3584",
125
+ "interval_min": "3584"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_56_14b_rf1024_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "b8393465-1964-442c-9b6f-2370600c6166",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_56_14b",
5
+ "artifacts_file": "b8393465-1964-442c-9b6f-2370600c6166.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_56_14b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 832
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 56
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_56_14b_dense_1"
40
+ ],
41
+ "parameters": 7224,
42
+ "trainable_parameters": 7224,
43
+ "neurons": 56,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1024
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 1024,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_56_14b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 1024
64
+ },
65
+ "dense_104_128_56_14b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<14,1>",
70
+ "bias": "fixed<14,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 1024
74
+ },
75
+ "dense_104_128_56_14b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 1024,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_56_14b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<14,1>",
89
+ "bias": "fixed<14,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 1024
93
+ },
94
+ "dense_104_128_56_14b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 1024,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "49",
107
+ "dsp": "23",
108
+ "ff": "19509",
109
+ "lut": "25868",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "114",
114
+ "dsp": "23",
115
+ "ff": "18447",
116
+ "lut": "22418",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "1859",
121
+ "cycles_max": "1861",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.002",
124
+ "interval_max": "1024",
125
+ "interval_min": "1024"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_56_16b_rf3070_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "d31019e7-4b52-4a7a-bc32-7d75d343d78f",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_56_16b",
5
+ "artifacts_file": "d31019e7-4b52-4a7a-bc32-7d75d343d78f.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_56_16b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 56
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_56_16b_dense_1"
40
+ ],
41
+ "parameters": 7224,
42
+ "trainable_parameters": 7224,
43
+ "neurons": 56,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 3584
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 3070,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_56_16b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 3070
64
+ },
65
+ "dense_104_128_56_16b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<16,1>",
70
+ "bias": "fixed<16,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 3070
74
+ },
75
+ "dense_104_128_56_16b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 3070,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_56_16b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<16,1>",
89
+ "bias": "fixed<16,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 3070
93
+ },
94
+ "dense_104_128_56_16b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 3070,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2",
107
+ "dsp": "6",
108
+ "ff": "19523",
109
+ "lut": "32485",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "34",
114
+ "dsp": "6",
115
+ "ff": "18243",
116
+ "lut": "22628",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "6915",
121
+ "cycles_max": "6917",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.829",
124
+ "interval_max": "3584",
125
+ "interval_min": "3584"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_56_2b_rf3070_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "db75ad19-03d3-44fc-bddd-52e2df2266be",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_56_2b",
5
+ "artifacts_file": "db75ad19-03d3-44fc-bddd-52e2df2266be.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_56_2b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 56
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_56_2b_dense_1"
40
+ ],
41
+ "parameters": 7224,
42
+ "trainable_parameters": 7224,
43
+ "neurons": 56,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 3584
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 3070,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_56_2b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 3070
64
+ },
65
+ "dense_104_128_56_2b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<2,1>",
70
+ "bias": "fixed<2,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 3070
74
+ },
75
+ "dense_104_128_56_2b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 3070,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_56_2b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<2,1>",
89
+ "bias": "fixed<2,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 3070
93
+ },
94
+ "dense_104_128_56_2b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 3070,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "4.5",
107
+ "dsp": "0",
108
+ "ff": "19563",
109
+ "lut": "22124",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "9",
114
+ "dsp": "0",
115
+ "ff": "18197",
116
+ "lut": "22762",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "6915",
121
+ "cycles_max": "6917",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.184",
124
+ "interval_max": "3584",
125
+ "interval_min": "3584"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_64_16b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "ed73f629-3698-4589-9506-005e7cff17e0",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_64_16b",
5
+ "artifacts_file": "ed73f629-3698-4589-9506-005e7cff17e0.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_64_16b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 64
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_64_16b_dense_1"
40
+ ],
41
+ "parameters": 8256,
42
+ "trainable_parameters": 8256,
43
+ "neurons": 64,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 4096
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_64_16b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_128_64_16b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<16,1>",
70
+ "bias": "fixed<16,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_128_64_16b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_64_16b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<16,1>",
89
+ "bias": "fixed<16,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_128_64_16b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2",
107
+ "dsp": "6",
108
+ "ff": "19837",
109
+ "lut": "32372",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "34",
114
+ "dsp": "6",
115
+ "ff": "18499",
116
+ "lut": "23065",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "7427",
121
+ "cycles_max": "7429",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.770",
124
+ "interval_max": "4096",
125
+ "interval_min": "4096"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_64_6b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "cbd75627-b71a-4990-84ee-1915e2d512d8",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_64_6b",
5
+ "artifacts_file": "cbd75627-b71a-4990-84ee-1915e2d512d8.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_64_6b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 64
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_64_6b_dense_1"
40
+ ],
41
+ "parameters": 8256,
42
+ "trainable_parameters": 8256,
43
+ "neurons": 64,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 4096
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_64_6b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_128_64_6b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<6,1>",
70
+ "bias": "fixed<6,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_128_64_6b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_64_6b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<6,1>",
89
+ "bias": "fixed<6,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_128_64_6b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2",
107
+ "dsp": "0",
108
+ "ff": "19944",
109
+ "lut": "24557",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "12",
114
+ "dsp": "0",
115
+ "ff": "18493",
116
+ "lut": "23062",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "7427",
121
+ "cycles_max": "7429",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.770",
124
+ "interval_max": "4096",
125
+ "interval_min": "4096"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_72_14b_rf3070_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "0e50048d-bcf3-47f3-9184-93156122438b",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_72_14b",
5
+ "artifacts_file": "0e50048d-bcf3-47f3-9184-93156122438b.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_72_14b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 72
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_72_14b_dense_1"
40
+ ],
41
+ "parameters": 9288,
42
+ "trainable_parameters": 9288,
43
+ "neurons": 72,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 3072
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 3070,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_72_14b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 3070
64
+ },
65
+ "dense_104_128_72_14b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<14,1>",
70
+ "bias": "fixed<14,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 3070
74
+ },
75
+ "dense_104_128_72_14b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 3070,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_72_14b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<14,1>",
89
+ "bias": "fixed<14,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 3070
93
+ },
94
+ "dense_104_128_72_14b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 3070,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2",
107
+ "dsp": "7",
108
+ "ff": "20150",
109
+ "lut": "32958",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "38",
114
+ "dsp": "7",
115
+ "ff": "18763",
116
+ "lut": "23659",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "6403",
121
+ "cycles_max": "6405",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.770",
124
+ "interval_max": "3328",
125
+ "interval_min": "3328"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_72_14b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "9e633f53-7411-4902-a00f-4434da16fbac",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_72_14b",
5
+ "artifacts_file": "9e633f53-7411-4902-a00f-4434da16fbac.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_72_14b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 72
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_72_14b_dense_1"
40
+ ],
41
+ "parameters": 9288,
42
+ "trainable_parameters": 9288,
43
+ "neurons": 72,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 4608
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_72_14b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_128_72_14b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<14,1>",
70
+ "bias": "fixed<14,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_128_72_14b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_72_14b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<14,1>",
89
+ "bias": "fixed<14,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_128_72_14b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2.5",
107
+ "dsp": "6",
108
+ "ff": "20156",
109
+ "lut": "34010",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "33",
114
+ "dsp": "6",
115
+ "ff": "18752",
116
+ "lut": "23557",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "7939",
121
+ "cycles_max": "7941",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.770",
124
+ "interval_max": "4608",
125
+ "interval_min": "4608"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_72_16b_rf2047_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "3f0127aa-0887-44de-9229-d1dc66bc5462",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_72_16b",
5
+ "artifacts_file": "3f0127aa-0887-44de-9229-d1dc66bc5462.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_72_16b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 72
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_72_16b_dense_1"
40
+ ],
41
+ "parameters": 9288,
42
+ "trainable_parameters": 9288,
43
+ "neurons": 72,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 2304
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 2047,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_72_16b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 2047
64
+ },
65
+ "dense_104_128_72_16b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<16,1>",
70
+ "bias": "fixed<16,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 2047
74
+ },
75
+ "dense_104_128_72_16b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 2047,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_72_16b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<16,1>",
89
+ "bias": "fixed<16,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 2047
93
+ },
94
+ "dense_104_128_72_16b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 2047,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "1.5",
107
+ "dsp": "12",
108
+ "ff": "20117",
109
+ "lut": "38823",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "63",
114
+ "dsp": "12",
115
+ "ff": "18842",
116
+ "lut": "23946",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3971",
121
+ "cycles_max": "3973",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.770",
124
+ "interval_max": "2304",
125
+ "interval_min": "2304"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_72_2b_rf2047_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "0a8fac66-7f00-4665-a6dc-396badb6ed7a",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_72_2b",
5
+ "artifacts_file": "0a8fac66-7f00-4665-a6dc-396badb6ed7a.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_72_2b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 72
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_72_2b_dense_1"
40
+ ],
41
+ "parameters": 9288,
42
+ "trainable_parameters": 9288,
43
+ "neurons": 72,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 2304
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 2047,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_72_2b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 2047
64
+ },
65
+ "dense_104_128_72_2b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<2,1>",
70
+ "bias": "fixed<2,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 2047
74
+ },
75
+ "dense_104_128_72_2b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 2047,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_72_2b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<2,1>",
89
+ "bias": "fixed<2,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 2047
93
+ },
94
+ "dense_104_128_72_2b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 2047,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "7.5",
107
+ "dsp": "0",
108
+ "ff": "20165",
109
+ "lut": "24381",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "13",
114
+ "dsp": "0",
115
+ "ff": "18718",
116
+ "lut": "24212",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3971",
121
+ "cycles_max": "3973",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.184",
124
+ "interval_max": "2304",
125
+ "interval_min": "2304"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_72_2b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "bddad8d5-edf0-4b1a-9fbb-7444aa803f15",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_72_2b",
5
+ "artifacts_file": "bddad8d5-edf0-4b1a-9fbb-7444aa803f15.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_72_2b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 72
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_72_2b_dense_1"
40
+ ],
41
+ "parameters": 9288,
42
+ "trainable_parameters": 9288,
43
+ "neurons": 72,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 4608
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_72_2b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_128_72_2b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<2,1>",
70
+ "bias": "fixed<2,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_128_72_2b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_72_2b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<2,1>",
89
+ "bias": "fixed<2,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_128_72_2b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "5.5",
107
+ "dsp": "0",
108
+ "ff": "20199",
109
+ "lut": "23449",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "11",
114
+ "dsp": "0",
115
+ "ff": "18712",
116
+ "lut": "23691",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "7939",
121
+ "cycles_max": "7941",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.188",
124
+ "interval_max": "4608",
125
+ "interval_min": "4608"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_72_6b_rf3070_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "1dde3394-ec49-45a8-930e-ffa0c7416750",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_72_6b",
5
+ "artifacts_file": "1dde3394-ec49-45a8-930e-ffa0c7416750.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_72_6b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 72
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_72_6b_dense_1"
40
+ ],
41
+ "parameters": 9288,
42
+ "trainable_parameters": 9288,
43
+ "neurons": 72,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 3072
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 3070,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_72_6b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 3070
64
+ },
65
+ "dense_104_128_72_6b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<6,1>",
70
+ "bias": "fixed<6,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 3070
74
+ },
75
+ "dense_104_128_72_6b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 3070,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_72_6b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<6,1>",
89
+ "bias": "fixed<6,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 3070
93
+ },
94
+ "dense_104_128_72_6b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 3070,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2",
107
+ "dsp": "0",
108
+ "ff": "20264",
109
+ "lut": "26336",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "14",
114
+ "dsp": "0",
115
+ "ff": "18763",
116
+ "lut": "23654",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "6403",
121
+ "cycles_max": "6405",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.770",
124
+ "interval_max": "3328",
125
+ "interval_min": "3328"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_80_14b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "675e5ce5-5ff7-47bf-a297-479576a109c0",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_80_14b",
5
+ "artifacts_file": "675e5ce5-5ff7-47bf-a297-479576a109c0.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_80_14b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 80
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_80_14b_dense_1"
40
+ ],
41
+ "parameters": 10320,
42
+ "trainable_parameters": 10320,
43
+ "neurons": 80,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 5120
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_80_14b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_128_80_14b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<14,1>",
70
+ "bias": "fixed<14,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_128_80_14b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_80_14b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<14,1>",
89
+ "bias": "fixed<14,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_128_80_14b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2.5",
107
+ "dsp": "6",
108
+ "ff": "20470",
109
+ "lut": "34813",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "34",
114
+ "dsp": "6",
115
+ "ff": "19008",
116
+ "lut": "24027",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "8451",
121
+ "cycles_max": "8453",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.781",
124
+ "interval_max": "5120",
125
+ "interval_min": "5120"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_80_2b_rf1024_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "de892b3f-8730-4ac3-abbd-b239ce4f5fc7",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_80_2b",
5
+ "artifacts_file": "de892b3f-8730-4ac3-abbd-b239ce4f5fc7.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_80_2b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 832
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 80
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_80_2b_dense_1"
40
+ ],
41
+ "parameters": 10320,
42
+ "trainable_parameters": 10320,
43
+ "neurons": 80,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1024
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 1024,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_80_2b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 1024
64
+ },
65
+ "dense_104_128_80_2b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<2,1>",
70
+ "bias": "fixed<2,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 1024
74
+ },
75
+ "dense_104_128_80_2b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 1024,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_80_2b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<2,1>",
89
+ "bias": "fixed<2,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 1024
93
+ },
94
+ "dense_104_128_80_2b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 1024,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "14",
107
+ "dsp": "0",
108
+ "ff": "20521",
109
+ "lut": "26083",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "23",
114
+ "dsp": "0",
115
+ "ff": "18993",
116
+ "lut": "24391",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "1859",
121
+ "cycles_max": "1861",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.217",
124
+ "interval_max": "1024",
125
+ "interval_min": "1024"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_80_2b_rf3070_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "b0afb81c-5fa2-4cc9-ace4-183cfd78c64b",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_80_2b",
5
+ "artifacts_file": "b0afb81c-5fa2-4cc9-ace4-183cfd78c64b.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_80_2b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 3328
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 80
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_80_2b_dense_1"
40
+ ],
41
+ "parameters": 10320,
42
+ "trainable_parameters": 10320,
43
+ "neurons": 80,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 2560
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 3070,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_80_2b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 3070
64
+ },
65
+ "dense_104_128_80_2b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<2,1>",
70
+ "bias": "fixed<2,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 3070
74
+ },
75
+ "dense_104_128_80_2b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 3070,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_80_2b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<2,1>",
89
+ "bias": "fixed<2,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 3070
93
+ },
94
+ "dense_104_128_80_2b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 3070,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "6",
107
+ "dsp": "0",
108
+ "ff": "20505",
109
+ "lut": "23522",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "10",
114
+ "dsp": "0",
115
+ "ff": "18969",
116
+ "lut": "24385",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "5891",
121
+ "cycles_max": "5893",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.184",
124
+ "interval_max": "3328",
125
+ "interval_min": "3328"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_88_2b_rf1024_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "755a616b-9faa-4184-9cd6-52725a91e508",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_88_2b",
5
+ "artifacts_file": "755a616b-9faa-4184-9cd6-52725a91e508.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_88_2b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 832
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 88
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_88_2b_dense_1"
40
+ ],
41
+ "parameters": 11352,
42
+ "trainable_parameters": 11352,
43
+ "neurons": 88,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1024
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 1024,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_88_2b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 1024
64
+ },
65
+ "dense_104_128_88_2b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<2,1>",
70
+ "bias": "fixed<2,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 1024
74
+ },
75
+ "dense_104_128_88_2b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 1024,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_88_2b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<2,1>",
89
+ "bias": "fixed<2,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 1024
93
+ },
94
+ "dense_104_128_88_2b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 1024,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "15",
107
+ "dsp": "0",
108
+ "ff": "20835",
109
+ "lut": "26318",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "24",
114
+ "dsp": "0",
115
+ "ff": "19251",
116
+ "lut": "24868",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "1859",
121
+ "cycles_max": "1861",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.217",
124
+ "interval_max": "1024",
125
+ "interval_min": "1024"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_88_2b_rf2047_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "6e0f0540-fa79-4b58-aaaa-f07f806fff68",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_88_2b",
5
+ "artifacts_file": "6e0f0540-fa79-4b58-aaaa-f07f806fff68.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_88_2b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 88
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_88_2b_dense_1"
40
+ ],
41
+ "parameters": 11352,
42
+ "trainable_parameters": 11352,
43
+ "neurons": 88,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1408
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 2047,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_88_2b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 2047
64
+ },
65
+ "dense_104_128_88_2b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<2,1>",
70
+ "bias": "fixed<2,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 2047
74
+ },
75
+ "dense_104_128_88_2b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 2047,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_88_2b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<2,1>",
89
+ "bias": "fixed<2,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 2047
93
+ },
94
+ "dense_104_128_88_2b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 2047,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "9",
107
+ "dsp": "0",
108
+ "ff": "20793",
109
+ "lut": "25259",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "14",
114
+ "dsp": "0",
115
+ "ff": "19235",
116
+ "lut": "25603",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3075",
121
+ "cycles_max": "3077",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.180",
124
+ "interval_max": "1664",
125
+ "interval_min": "1664"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_88_6b_rf1024_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "ce8d0b76-bee8-48d1-a587-ffae42d3c10f",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_88_6b",
5
+ "artifacts_file": "ce8d0b76-bee8-48d1-a587-ffae42d3c10f.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_88_6b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 832
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 88
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_88_6b_dense_1"
40
+ ],
41
+ "parameters": 11352,
42
+ "trainable_parameters": 11352,
43
+ "neurons": 88,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1024
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 1024,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_88_6b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 1024
64
+ },
65
+ "dense_104_128_88_6b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<6,1>",
70
+ "bias": "fixed<6,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 1024
74
+ },
75
+ "dense_104_128_88_6b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 1024,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_88_6b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<6,1>",
89
+ "bias": "fixed<6,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 1024
93
+ },
94
+ "dense_104_128_88_6b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 1024,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "29",
107
+ "dsp": "0",
108
+ "ff": "20784",
109
+ "lut": "29665",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "44",
114
+ "dsp": "0",
115
+ "ff": "19305",
116
+ "lut": "24247",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "1859",
121
+ "cycles_max": "1861",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.002",
124
+ "interval_max": "1024",
125
+ "interval_min": "1024"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_96_2b_rf1024_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "3b4d9dc7-b0bc-4ce6-9137-e6723c89c1c0",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_96_2b",
5
+ "artifacts_file": "3b4d9dc7-b0bc-4ce6-9137-e6723c89c1c0.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_96_2b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 832
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 96
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_96_2b_dense_1"
40
+ ],
41
+ "parameters": 12384,
42
+ "trainable_parameters": 12384,
43
+ "neurons": 96,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1024
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 1024,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_96_2b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 1024
64
+ },
65
+ "dense_104_128_96_2b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<2,1>",
70
+ "bias": "fixed<2,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 1024
74
+ },
75
+ "dense_104_128_96_2b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 1024,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_96_2b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<2,1>",
89
+ "bias": "fixed<2,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 1024
93
+ },
94
+ "dense_104_128_96_2b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 1024,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "15",
107
+ "dsp": "0",
108
+ "ff": "21150",
109
+ "lut": "27581",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "30",
114
+ "dsp": "0",
115
+ "ff": "19509",
116
+ "lut": "25345",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "1859",
121
+ "cycles_max": "1861",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.217",
124
+ "interval_max": "1024",
125
+ "interval_min": "1024"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_128_96_2b_rf2047_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "4fc86959-5819-489c-b8df-d8cf82d80109",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_128_96_2b",
5
+ "artifacts_file": "4fc86959-5819-489c-b8df-d8cf82d80109.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 128
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_128_96_2b_dense_1_input"
20
+ ],
21
+ "parameters": 13440,
22
+ "trainable_parameters": 13440,
23
+ "neurons": 128,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 128
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 96
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_128_96_2b_dense_1"
40
+ ],
41
+ "parameters": 12384,
42
+ "trainable_parameters": 12384,
43
+ "neurons": 96,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 2048
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 2047,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_128_96_2b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 2047
64
+ },
65
+ "dense_104_128_96_2b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<2,1>",
70
+ "bias": "fixed<2,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 2047
74
+ },
75
+ "dense_104_128_96_2b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 2047,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_128_96_2b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<2,1>",
89
+ "bias": "fixed<2,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 2047
93
+ },
94
+ "dense_104_128_96_2b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 2047,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "8",
107
+ "dsp": "0",
108
+ "ff": "21104",
109
+ "lut": "25528",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "16",
114
+ "dsp": "0",
115
+ "ff": "19487",
116
+ "lut": "25667",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3715",
121
+ "cycles_max": "3717",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.180",
124
+ "interval_max": "2048",
125
+ "interval_min": "2048"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_16_104_10b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "81a7c007-894e-4842-b2de-b6a87289a7f1",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_16_104_10b",
5
+ "artifacts_file": "81a7c007-894e-4842-b2de-b6a87289a7f1.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 16
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_16_104_10b_dense_1_input"
20
+ ],
21
+ "parameters": 1680,
22
+ "trainable_parameters": 1680,
23
+ "neurons": 16,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 16
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 104
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_16_104_10b_dense_1"
40
+ ],
41
+ "parameters": 1768,
42
+ "trainable_parameters": 1768,
43
+ "neurons": 104,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1664
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_16_104_10b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_16_104_10b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<10,1>",
70
+ "bias": "fixed<10,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_16_104_10b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_16_104_10b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<10,1>",
89
+ "bias": "fixed<10,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_16_104_10b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "1",
107
+ "dsp": "2",
108
+ "ff": "9259",
109
+ "lut": "13156",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "5",
114
+ "dsp": "2",
115
+ "ff": "8399",
116
+ "lut": "10871",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3331",
121
+ "cycles_max": "3333",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.011",
124
+ "interval_max": "1664",
125
+ "interval_min": "1664"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_16_104_12b_rf1024_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "31d25601-b2c1-479a-afe3-64d5f6b89a85",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_16_104_12b",
5
+ "artifacts_file": "31d25601-b2c1-479a-afe3-64d5f6b89a85.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 16
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_16_104_12b_dense_1_input"
20
+ ],
21
+ "parameters": 1680,
22
+ "trainable_parameters": 1680,
23
+ "neurons": 16,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 832
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 16
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 104
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_16_104_12b_dense_1"
40
+ ],
41
+ "parameters": 1768,
42
+ "trainable_parameters": 1768,
43
+ "neurons": 104,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 832
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 1024,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_16_104_12b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 1024
64
+ },
65
+ "dense_104_16_104_12b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<12,1>",
70
+ "bias": "fixed<12,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 1024
74
+ },
75
+ "dense_104_16_104_12b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 1024,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_16_104_12b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<12,1>",
89
+ "bias": "fixed<12,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 1024
93
+ },
94
+ "dense_104_16_104_12b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 1024,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "1",
107
+ "dsp": "4",
108
+ "ff": "9277",
109
+ "lut": "14559",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "6",
114
+ "dsp": "4",
115
+ "ff": "8420",
116
+ "lut": "10890",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "1667",
121
+ "cycles_max": "1669",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.782",
124
+ "interval_max": "832",
125
+ "interval_min": "832"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_16_104_14b_rf1024_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "55c8bb49-af9a-4f58-ac81-4a6c556f28c1",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_16_104_14b",
5
+ "artifacts_file": "55c8bb49-af9a-4f58-ac81-4a6c556f28c1.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 16
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_16_104_14b_dense_1_input"
20
+ ],
21
+ "parameters": 1680,
22
+ "trainable_parameters": 1680,
23
+ "neurons": 16,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 832
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 16
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 104
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_16_104_14b_dense_1"
40
+ ],
41
+ "parameters": 1768,
42
+ "trainable_parameters": 1768,
43
+ "neurons": 104,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 832
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 1024,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_16_104_14b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 1024
64
+ },
65
+ "dense_104_16_104_14b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<14,1>",
70
+ "bias": "fixed<14,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 1024
74
+ },
75
+ "dense_104_16_104_14b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 1024,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_16_104_14b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<14,1>",
89
+ "bias": "fixed<14,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 1024
93
+ },
94
+ "dense_104_16_104_14b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 1024,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "1",
107
+ "dsp": "4",
108
+ "ff": "9277",
109
+ "lut": "14745",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "6",
114
+ "dsp": "4",
115
+ "ff": "8420",
116
+ "lut": "10890",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "1667",
121
+ "cycles_max": "1669",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "3.782",
124
+ "interval_max": "832",
125
+ "interval_min": "832"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_16_104_14b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "c75ff025-fa0e-4632-a478-b15a10b2a7b3",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_16_104_14b",
5
+ "artifacts_file": "c75ff025-fa0e-4632-a478-b15a10b2a7b3.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 16
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_16_104_14b_dense_1_input"
20
+ ],
21
+ "parameters": 1680,
22
+ "trainable_parameters": 1680,
23
+ "neurons": 16,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 16
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 104
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_16_104_14b_dense_1"
40
+ ],
41
+ "parameters": 1768,
42
+ "trainable_parameters": 1768,
43
+ "neurons": 104,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1664
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_16_104_14b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_16_104_14b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<14,1>",
70
+ "bias": "fixed<14,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_16_104_14b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_16_104_14b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<14,1>",
89
+ "bias": "fixed<14,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_16_104_14b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "1",
107
+ "dsp": "2",
108
+ "ff": "9259",
109
+ "lut": "13387",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "6",
114
+ "dsp": "2",
115
+ "ff": "8399",
116
+ "lut": "10871",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3331",
121
+ "cycles_max": "3333",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.011",
124
+ "interval_max": "1664",
125
+ "interval_min": "1664"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_16_104_16b_rf2047_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "8ebd4c95-f18c-42d1-92cb-ef24086d58fd",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_16_104_16b",
5
+ "artifacts_file": "8ebd4c95-f18c-42d1-92cb-ef24086d58fd.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 16
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_16_104_16b_dense_1_input"
20
+ ],
21
+ "parameters": 1680,
22
+ "trainable_parameters": 1680,
23
+ "neurons": 16,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 16
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 104
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_16_104_16b_dense_1"
40
+ ],
41
+ "parameters": 1768,
42
+ "trainable_parameters": 1768,
43
+ "neurons": 104,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1664
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 2047,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_16_104_16b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 2047
64
+ },
65
+ "dense_104_16_104_16b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<16,1>",
70
+ "bias": "fixed<16,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 2047
74
+ },
75
+ "dense_104_16_104_16b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 2047,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_16_104_16b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<16,1>",
89
+ "bias": "fixed<16,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 2047
93
+ },
94
+ "dense_104_16_104_16b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 2047,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "1",
107
+ "dsp": "2",
108
+ "ff": "9259",
109
+ "lut": "13503",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "6",
114
+ "dsp": "2",
115
+ "ff": "8399",
116
+ "lut": "10871",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3331",
121
+ "cycles_max": "3333",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.011",
124
+ "interval_max": "1664",
125
+ "interval_min": "1664"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_16_104_2b_rf2047_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "681e3607-4453-46ce-97bc-f17061c51d79",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_16_104_2b",
5
+ "artifacts_file": "681e3607-4453-46ce-97bc-f17061c51d79.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 16
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_16_104_2b_dense_1_input"
20
+ ],
21
+ "parameters": 1680,
22
+ "trainable_parameters": 1680,
23
+ "neurons": 16,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 16
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 104
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_16_104_2b_dense_1"
40
+ ],
41
+ "parameters": 1768,
42
+ "trainable_parameters": 1768,
43
+ "neurons": 104,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1664
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 2047,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_16_104_2b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 2047
64
+ },
65
+ "dense_104_16_104_2b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<2,1>",
70
+ "bias": "fixed<2,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 2047
74
+ },
75
+ "dense_104_16_104_2b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 2047,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_16_104_2b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<2,1>",
89
+ "bias": "fixed<2,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 2047
93
+ },
94
+ "dense_104_16_104_2b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 2047,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "1.5",
107
+ "dsp": "0",
108
+ "ff": "9319",
109
+ "lut": "13055",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "4",
114
+ "dsp": "0",
115
+ "ff": "8400",
116
+ "lut": "10894",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3331",
121
+ "cycles_max": "3333",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.011",
124
+ "interval_max": "1664",
125
+ "interval_min": "1664"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_16_104_2b_rf3070_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "78f84075-c08d-4147-8cbb-616519902bde",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_16_104_2b",
5
+ "artifacts_file": "78f84075-c08d-4147-8cbb-616519902bde.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 16
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_16_104_2b_dense_1_input"
20
+ ],
21
+ "parameters": 1680,
22
+ "trainable_parameters": 1680,
23
+ "neurons": 16,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 16
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 104
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_16_104_2b_dense_1"
40
+ ],
41
+ "parameters": 1768,
42
+ "trainable_parameters": 1768,
43
+ "neurons": 104,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1664
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 3070,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_16_104_2b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 3070
64
+ },
65
+ "dense_104_16_104_2b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<2,1>",
70
+ "bias": "fixed<2,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 3070
74
+ },
75
+ "dense_104_16_104_2b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 3070,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_16_104_2b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<2,1>",
89
+ "bias": "fixed<2,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 3070
93
+ },
94
+ "dense_104_16_104_2b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 3070,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "1.5",
107
+ "dsp": "0",
108
+ "ff": "9319",
109
+ "lut": "13055",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "4",
114
+ "dsp": "0",
115
+ "ff": "8400",
116
+ "lut": "10894",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3331",
121
+ "cycles_max": "3333",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.011",
124
+ "interval_max": "1664",
125
+ "interval_min": "1664"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_16_104_4b_rf2047_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "29481c44-ba17-4c10-b952-4edb8ca96907",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_16_104_4b",
5
+ "artifacts_file": "29481c44-ba17-4c10-b952-4edb8ca96907.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 16
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_16_104_4b_dense_1_input"
20
+ ],
21
+ "parameters": 1680,
22
+ "trainable_parameters": 1680,
23
+ "neurons": 16,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 16
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 104
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_16_104_4b_dense_1"
40
+ ],
41
+ "parameters": 1768,
42
+ "trainable_parameters": 1768,
43
+ "neurons": 104,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1664
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 2047,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_16_104_4b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 2047
64
+ },
65
+ "dense_104_16_104_4b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<4,1>",
70
+ "bias": "fixed<4,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 2047
74
+ },
75
+ "dense_104_16_104_4b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 2047,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_16_104_4b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<4,1>",
89
+ "bias": "fixed<4,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 2047
93
+ },
94
+ "dense_104_16_104_4b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 2047,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "1",
107
+ "dsp": "0",
108
+ "ff": "9295",
109
+ "lut": "12830",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "4",
114
+ "dsp": "0",
115
+ "ff": "8399",
116
+ "lut": "10871",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3331",
121
+ "cycles_max": "3333",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.011",
124
+ "interval_max": "1664",
125
+ "interval_min": "1664"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_16_104_4b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "7386758c-99a8-4403-8906-a9d88b8e9b93",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_16_104_4b",
5
+ "artifacts_file": "7386758c-99a8-4403-8906-a9d88b8e9b93.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 16
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_16_104_4b_dense_1_input"
20
+ ],
21
+ "parameters": 1680,
22
+ "trainable_parameters": 1680,
23
+ "neurons": 16,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 16
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 104
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_16_104_4b_dense_1"
40
+ ],
41
+ "parameters": 1768,
42
+ "trainable_parameters": 1768,
43
+ "neurons": 104,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1664
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_16_104_4b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_16_104_4b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<4,1>",
70
+ "bias": "fixed<4,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_16_104_4b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_16_104_4b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<4,1>",
89
+ "bias": "fixed<4,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_16_104_4b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "1",
107
+ "dsp": "0",
108
+ "ff": "9295",
109
+ "lut": "12830",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "4",
114
+ "dsp": "0",
115
+ "ff": "8399",
116
+ "lut": "10871",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3331",
121
+ "cycles_max": "3333",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.011",
124
+ "interval_max": "1664",
125
+ "interval_min": "1664"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_16_112_16b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "9584a174-0d6f-4a00-9444-25b6d22631d9",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_16_112_16b",
5
+ "artifacts_file": "9584a174-0d6f-4a00-9444-25b6d22631d9.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 16
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_16_112_16b_dense_1_input"
20
+ ],
21
+ "parameters": 1680,
22
+ "trainable_parameters": 1680,
23
+ "neurons": 16,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 16
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 112
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_16_112_16b_dense_1"
40
+ ],
41
+ "parameters": 1904,
42
+ "trainable_parameters": 1904,
43
+ "neurons": 112,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1792
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_16_112_16b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_16_112_16b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<16,1>",
70
+ "bias": "fixed<16,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_16_112_16b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_16_112_16b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<16,1>",
89
+ "bias": "fixed<16,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_16_112_16b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2",
107
+ "dsp": "2",
108
+ "ff": "9594",
109
+ "lut": "14230",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "6",
114
+ "dsp": "2",
115
+ "ff": "8655",
116
+ "lut": "11353",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3459",
121
+ "cycles_max": "3461",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.020",
124
+ "interval_max": "1792",
125
+ "interval_min": "1792"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_16_112_2b_rf4093_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "9114d6a8-8646-4ce2-9044-77db789b1653",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_16_112_2b",
5
+ "artifacts_file": "9114d6a8-8646-4ce2-9044-77db789b1653.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 16
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_16_112_2b_dense_1_input"
20
+ ],
21
+ "parameters": 1680,
22
+ "trainable_parameters": 1680,
23
+ "neurons": 16,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 1664
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 16
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 112
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_16_112_2b_dense_1"
40
+ ],
41
+ "parameters": 1904,
42
+ "trainable_parameters": 1904,
43
+ "neurons": 112,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 1792
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 4093,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_16_112_2b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 4093
64
+ },
65
+ "dense_104_16_112_2b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<2,1>",
70
+ "bias": "fixed<2,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 4093
74
+ },
75
+ "dense_104_16_112_2b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 4093,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_16_112_2b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<2,1>",
89
+ "bias": "fixed<2,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 4093
93
+ },
94
+ "dense_104_16_112_2b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 4093,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "1.5",
107
+ "dsp": "0",
108
+ "ff": "9599",
109
+ "lut": "13224",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "4",
114
+ "dsp": "0",
115
+ "ff": "8656",
116
+ "lut": "11376",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "3459",
121
+ "cycles_max": "3461",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.020",
124
+ "interval_max": "1792",
125
+ "interval_min": "1792"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }
test/2layer/dense_104_16_112_8b_rf1024_processed.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "meta_data": {
3
+ "uuid": "d1611138-e32d-4497-adfc-8f1eeeed68ef",
4
+ "model_name": "/output/2layer_run_vsynth_2023-2/raw_reports/dense_104_16_112_8b",
5
+ "artifacts_file": "d1611138-e32d-4497-adfc-8f1eeeed68ef.tar.gz"
6
+ },
7
+ "model_config": [
8
+ {
9
+ "class_name": "QDense",
10
+ "input_shape": [
11
+ null,
12
+ 104
13
+ ],
14
+ "output_shape": [
15
+ null,
16
+ 16
17
+ ],
18
+ "inbound_layers": [
19
+ "dense_104_16_112_8b_dense_1_input"
20
+ ],
21
+ "parameters": 1680,
22
+ "trainable_parameters": 1680,
23
+ "neurons": 16,
24
+ "use_bias": true,
25
+ "dtype": "float32",
26
+ "reuse_factor": 832
27
+ },
28
+ {
29
+ "class_name": "QDense",
30
+ "input_shape": [
31
+ null,
32
+ 16
33
+ ],
34
+ "output_shape": [
35
+ null,
36
+ 112
37
+ ],
38
+ "inbound_layers": [
39
+ "dense_104_16_112_8b_dense_1"
40
+ ],
41
+ "parameters": 1904,
42
+ "trainable_parameters": 1904,
43
+ "neurons": 112,
44
+ "use_bias": true,
45
+ "dtype": "float32",
46
+ "reuse_factor": 896
47
+ }
48
+ ],
49
+ "hls_config": {
50
+ "Model": {
51
+ "Precision": "fixed<16,6>",
52
+ "ReuseFactor": 1024,
53
+ "Strategy": "resource",
54
+ "BramFactor": 1000000000,
55
+ "TraceOutput": false
56
+ },
57
+ "LayerName": {
58
+ "dense_104_16_112_8b_dense_1_input": {
59
+ "Trace": false,
60
+ "Precision": {
61
+ "result": "fixed<16,6>"
62
+ },
63
+ "ReuseFactor": 1024
64
+ },
65
+ "dense_104_16_112_8b_dense_1": {
66
+ "Trace": false,
67
+ "Precision": {
68
+ "result": "fixed<16,6>",
69
+ "weight": "fixed<8,1>",
70
+ "bias": "fixed<8,1>",
71
+ "accum": "fixed<16,6>"
72
+ },
73
+ "ReuseFactor": 1024
74
+ },
75
+ "dense_104_16_112_8b_dense_1_linear": {
76
+ "Trace": false,
77
+ "Precision": {
78
+ "result": "fixed<16,6>",
79
+ "table": "fixed<18,8>"
80
+ },
81
+ "ReuseFactor": 1024,
82
+ "TableSize": 1024
83
+ },
84
+ "dense_104_16_112_8b_dense_2": {
85
+ "Trace": false,
86
+ "Precision": {
87
+ "result": "fixed<16,6>",
88
+ "weight": "fixed<8,1>",
89
+ "bias": "fixed<8,1>",
90
+ "accum": "fixed<16,6>"
91
+ },
92
+ "ReuseFactor": 1024
93
+ },
94
+ "dense_104_16_112_8b_dense_2_linear": {
95
+ "Trace": false,
96
+ "Precision": {
97
+ "result": "fixed<16,6>",
98
+ "table": "fixed<18,8>"
99
+ },
100
+ "ReuseFactor": 1024,
101
+ "TableSize": 1024
102
+ }
103
+ }
104
+ },
105
+ "resource_report": {
106
+ "bram": "2",
107
+ "dsp": "4",
108
+ "ff": "9586",
109
+ "lut": "14178",
110
+ "uram": "0"
111
+ },
112
+ "hls_resource_report": {
113
+ "bram": "4",
114
+ "dsp": "4",
115
+ "ff": "8676",
116
+ "lut": "11406",
117
+ "uram": "0"
118
+ },
119
+ "latency_report": {
120
+ "cycles_min": "1731",
121
+ "cycles_max": "1733",
122
+ "target_clock": "5.00",
123
+ "estimated_clock": "4.188",
124
+ "interval_max": "896",
125
+ "interval_min": "896"
126
+ },
127
+ "target_part": "xcu250-figd2104-2L-e",
128
+ "vivado_version": "2023.2",
129
+ "hls4ml_version": "0.8.1"
130
+ }