Upload 14 files
Browse files- .gitattributes +4 -0
- hed2image_fixed_testA/hed2image/test_latest/images/custom_fake.png +3 -0
- hed2image_fixed_testA/hed2image/test_latest/images/custom_real.png +3 -0
- hed2image_fixed_testA/hed2image/test_latest/index.html +29 -0
- hed2image_fixed_testB/hed2image/test_latest/images/custom_fake.png +3 -0
- hed2image_fixed_testB/hed2image/test_latest/images/custom_real.png +3 -0
- hed2image_fixed_testB/hed2image/test_latest/index.html +29 -0
- latest_net_D_A.pth +3 -0
- latest_net_D_B.pth +3 -0
- latest_net_G.pth +3 -0
- latest_net_G_A.pth +3 -0
- latest_net_G_B.pth +3 -0
- loss_log.txt +363 -0
- test_opt.txt +42 -0
- train_opt.txt +62 -0
.gitattributes
CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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hed2image_fixed_testA/hed2image/test_latest/images/custom_fake.png filter=lfs diff=lfs merge=lfs -text
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hed2image_fixed_testA/hed2image/test_latest/images/custom_real.png filter=lfs diff=lfs merge=lfs -text
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hed2image_fixed_testB/hed2image/test_latest/images/custom_fake.png filter=lfs diff=lfs merge=lfs -text
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hed2image_fixed_testB/hed2image/test_latest/images/custom_real.png filter=lfs diff=lfs merge=lfs -text
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hed2image_fixed_testA/hed2image/test_latest/images/custom_fake.png
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![]() |
Git LFS Details
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hed2image_fixed_testA/hed2image/test_latest/images/custom_real.png
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Git LFS Details
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hed2image_fixed_testA/hed2image/test_latest/index.html
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<!DOCTYPE html>
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<html>
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<head>
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<title>Experiment = hed2image, Phase = test, Epoch = latest</title>
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</head>
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<body>
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<h3>custom</h3>
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<table border="1" style="table-layout: fixed;">
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<tr>
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<td halign="center" style="word-wrap: break-word;" valign="top">
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<p>
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<a href="images\custom_real.png">
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<img src="images\custom_real.png" style="width:256px">
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</a><br>
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<p>real</p>
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</p>
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</td>
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<td halign="center" style="word-wrap: break-word;" valign="top">
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<p>
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<a href="images\custom_fake.png">
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<img src="images\custom_fake.png" style="width:256px">
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</a><br>
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<p>fake</p>
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</p>
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</td>
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</tr>
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</table>
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</body>
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</html>
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hed2image_fixed_testB/hed2image/test_latest/images/custom_fake.png
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![]() |
Git LFS Details
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hed2image_fixed_testB/hed2image/test_latest/images/custom_real.png
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![]() |
Git LFS Details
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hed2image_fixed_testB/hed2image/test_latest/index.html
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<!DOCTYPE html>
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<html>
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<head>
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<title>Experiment = hed2image, Phase = test, Epoch = latest</title>
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</head>
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<body>
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<h3>custom</h3>
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<table border="1" style="table-layout: fixed;">
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<tr>
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<td halign="center" style="word-wrap: break-word;" valign="top">
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<p>
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<a href="images\custom_real.png">
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<img src="images\custom_real.png" style="width:256px">
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</a><br>
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<p>real</p>
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</p>
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</td>
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<td halign="center" style="word-wrap: break-word;" valign="top">
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<p>
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<a href="images\custom_fake.png">
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<img src="images\custom_fake.png" style="width:256px">
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</a><br>
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<p>fake</p>
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</p>
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</td>
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</tr>
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</table>
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</body>
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</html>
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latest_net_D_A.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:1599c9d476f885efb98917920de28e9e2157437cfc4b1b6e94da2c7c9061695c
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size 11063002
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latest_net_D_B.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:d338b5d61eaf9829c0c2d550da8bd37966199f8d7b3a8fe6ebf25d69c0b51cec
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size 11063002
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latest_net_G.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:5f49234137f2fa8001d3bcacb84a2ac13a6ef7f89cd7d69204ca514f82f4659d
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size 45532082
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latest_net_G_A.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:5f49234137f2fa8001d3bcacb84a2ac13a6ef7f89cd7d69204ca514f82f4659d
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size 45532082
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latest_net_G_B.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:22cacc2ad0bbcdccd1a7bef16b5dd50cfbff6cc4ba3ae99f3653f40f0bfc3b12
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size 45532082
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loss_log.txt
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================ Training Loss (Mon Mar 10 18:34:20 2025) ================
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(epoch: 1, iters: 100, time: 0.300, data: 39.616) D_A: 0.497 G_A: 0.722 cycle_A: 2.115 idt_A: 0.798 D_B: 0.486 G_B: 0.513 cycle_B: 1.698 idt_B: 0.934
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(epoch: 1, iters: 200, time: 0.344, data: 0.002) D_A: 0.406 G_A: 0.522 cycle_A: 1.604 idt_A: 0.702 D_B: 0.448 G_B: 0.468 cycle_B: 1.548 idt_B: 0.671
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(epoch: 1, iters: 300, time: 0.330, data: 0.003) D_A: 0.618 G_A: 0.843 cycle_A: 1.419 idt_A: 0.741 D_B: 0.470 G_B: 0.538 cycle_B: 1.591 idt_B: 0.589
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(epoch: 1, iters: 400, time: 0.404, data: 0.003) D_A: 0.273 G_A: 0.502 cycle_A: 1.168 idt_A: 0.579 D_B: 0.373 G_B: 0.395 cycle_B: 1.274 idt_B: 0.451
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(epoch: 1, iters: 500, time: 0.345, data: 0.003) D_A: 0.385 G_A: 0.494 cycle_A: 1.075 idt_A: 0.581 D_B: 0.296 G_B: 0.341 cycle_B: 1.336 idt_B: 0.404
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(epoch: 1, iters: 600, time: 0.337, data: 0.003) D_A: 0.291 G_A: 0.466 cycle_A: 0.964 idt_A: 0.561 D_B: 0.299 G_B: 0.326 cycle_B: 1.323 idt_B: 0.369
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(epoch: 1, iters: 700, time: 0.338, data: 0.004) D_A: 0.248 G_A: 0.358 cycle_A: 1.026 idt_A: 0.572 D_B: 0.290 G_B: 0.377 cycle_B: 1.243 idt_B: 0.397
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(epoch: 2, iters: 76, time: 0.336, data: 0.002) D_A: 0.283 G_A: 0.443 cycle_A: 1.093 idt_A: 0.559 D_B: 0.292 G_B: 0.421 cycle_B: 1.221 idt_B: 0.434
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(epoch: 2, iters: 176, time: 0.329, data: 0.002) D_A: 0.291 G_A: 0.256 cycle_A: 0.784 idt_A: 0.512 D_B: 0.310 G_B: 0.337 cycle_B: 1.132 idt_B: 0.314
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(epoch: 2, iters: 276, time: 0.331, data: 0.003) D_A: 0.240 G_A: 0.419 cycle_A: 0.845 idt_A: 0.525 D_B: 0.320 G_B: 0.365 cycle_B: 1.199 idt_B: 0.330
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(epoch: 2, iters: 376, time: 0.314, data: 0.002) D_A: 0.272 G_A: 0.415 cycle_A: 0.817 idt_A: 0.618 D_B: 0.279 G_B: 0.271 cycle_B: 1.353 idt_B: 0.339
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(epoch: 2, iters: 476, time: 0.344, data: 0.002) D_A: 0.255 G_A: 0.339 cycle_A: 0.862 idt_A: 0.492 D_B: 0.256 G_B: 0.297 cycle_B: 1.117 idt_B: 0.317
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(epoch: 2, iters: 576, time: 0.352, data: 0.003) D_A: 0.250 G_A: 0.346 cycle_A: 0.908 idt_A: 0.504 D_B: 0.264 G_B: 0.310 cycle_B: 1.155 idt_B: 0.326
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(epoch: 2, iters: 676, time: 0.334, data: 0.002) D_A: 0.243 G_A: 0.293 cycle_A: 0.783 idt_A: 0.442 D_B: 0.299 G_B: 0.425 cycle_B: 1.097 idt_B: 0.283
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(epoch: 3, iters: 52, time: 0.312, data: 0.001) D_A: 0.226 G_A: 0.409 cycle_A: 0.768 idt_A: 0.497 D_B: 0.239 G_B: 0.369 cycle_B: 1.173 idt_B: 0.291
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(epoch: 3, iters: 152, time: 0.383, data: 0.002) D_A: 0.239 G_A: 0.347 cycle_A: 0.716 idt_A: 0.572 D_B: 0.268 G_B: 0.294 cycle_B: 1.232 idt_B: 0.265
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(epoch: 3, iters: 252, time: 0.339, data: 0.003) D_A: 0.228 G_A: 0.394 cycle_A: 0.976 idt_A: 0.447 D_B: 0.267 G_B: 0.352 cycle_B: 1.047 idt_B: 0.358
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(epoch: 3, iters: 352, time: 0.349, data: 0.003) D_A: 0.242 G_A: 0.337 cycle_A: 0.723 idt_A: 0.462 D_B: 0.269 G_B: 0.307 cycle_B: 1.076 idt_B: 0.273
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(epoch: 3, iters: 452, time: 0.326, data: 0.003) D_A: 0.243 G_A: 0.441 cycle_A: 0.814 idt_A: 0.382 D_B: 0.244 G_B: 0.348 cycle_B: 0.892 idt_B: 0.277
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(epoch: 3, iters: 552, time: 0.380, data: 0.003) D_A: 0.223 G_A: 0.346 cycle_A: 0.745 idt_A: 0.438 D_B: 0.276 G_B: 0.389 cycle_B: 0.996 idt_B: 0.251
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(epoch: 3, iters: 652, time: 0.327, data: 0.003) D_A: 0.209 G_A: 0.451 cycle_A: 0.760 idt_A: 0.437 D_B: 0.261 G_B: 0.246 cycle_B: 1.080 idt_B: 0.292
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(epoch: 4, iters: 28, time: 0.296, data: 0.003) D_A: 0.204 G_A: 0.288 cycle_A: 0.756 idt_A: 0.438 D_B: 0.321 G_B: 0.339 cycle_B: 0.987 idt_B: 0.277
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(epoch: 4, iters: 128, time: 0.329, data: 0.003) D_A: 0.244 G_A: 0.359 cycle_A: 0.725 idt_A: 0.450 D_B: 0.250 G_B: 0.300 cycle_B: 1.029 idt_B: 0.286
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(epoch: 4, iters: 228, time: 0.385, data: 0.002) D_A: 0.191 G_A: 0.360 cycle_A: 0.915 idt_A: 0.444 D_B: 0.253 G_B: 0.336 cycle_B: 1.030 idt_B: 0.337
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(epoch: 4, iters: 328, time: 0.331, data: 0.003) D_A: 0.236 G_A: 0.284 cycle_A: 0.712 idt_A: 0.454 D_B: 0.250 G_B: 0.344 cycle_B: 1.036 idt_B: 0.264
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(epoch: 4, iters: 428, time: 0.331, data: 0.003) D_A: 0.352 G_A: 0.391 cycle_A: 0.780 idt_A: 0.412 D_B: 0.263 G_B: 0.342 cycle_B: 0.958 idt_B: 0.283
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(epoch: 4, iters: 528, time: 0.324, data: 0.004) D_A: 0.245 G_A: 0.285 cycle_A: 0.807 idt_A: 0.365 D_B: 0.241 G_B: 0.350 cycle_B: 0.843 idt_B: 0.262
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(epoch: 4, iters: 628, time: 0.329, data: 0.002) D_A: 0.216 G_A: 0.435 cycle_A: 0.831 idt_A: 0.486 D_B: 0.316 G_B: 0.389 cycle_B: 1.143 idt_B: 0.291
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30 |
+
(epoch: 5, iters: 4, time: 0.291, data: 0.001) D_A: 0.246 G_A: 0.408 cycle_A: 0.729 idt_A: 0.474 D_B: 0.234 G_B: 0.331 cycle_B: 1.118 idt_B: 0.224
|
31 |
+
(epoch: 5, iters: 104, time: 0.326, data: 0.002) D_A: 0.204 G_A: 0.352 cycle_A: 0.720 idt_A: 0.405 D_B: 0.240 G_B: 0.326 cycle_B: 0.972 idt_B: 0.240
|
32 |
+
(epoch: 5, iters: 204, time: 0.324, data: 0.003) D_A: 0.208 G_A: 0.374 cycle_A: 0.696 idt_A: 0.473 D_B: 0.270 G_B: 0.298 cycle_B: 1.096 idt_B: 0.252
|
33 |
+
(epoch: 5, iters: 304, time: 0.385, data: 0.002) D_A: 0.303 G_A: 0.317 cycle_A: 0.812 idt_A: 0.563 D_B: 0.292 G_B: 0.394 cycle_B: 1.466 idt_B: 0.212
|
34 |
+
(epoch: 5, iters: 404, time: 0.329, data: 0.003) D_A: 0.151 G_A: 0.317 cycle_A: 0.558 idt_A: 0.409 D_B: 0.248 G_B: 0.270 cycle_B: 0.969 idt_B: 0.204
|
35 |
+
(epoch: 5, iters: 504, time: 0.326, data: 0.004) D_A: 0.298 G_A: 0.686 cycle_A: 0.750 idt_A: 0.519 D_B: 0.209 G_B: 0.302 cycle_B: 1.202 idt_B: 0.235
|
36 |
+
(epoch: 5, iters: 604, time: 0.328, data: 0.004) D_A: 0.146 G_A: 0.400 cycle_A: 0.703 idt_A: 0.413 D_B: 0.284 G_B: 0.350 cycle_B: 1.036 idt_B: 0.230
|
37 |
+
(epoch: 5, iters: 704, time: 0.326, data: 0.003) D_A: 0.101 G_A: 0.859 cycle_A: 0.791 idt_A: 0.364 D_B: 0.245 G_B: 0.278 cycle_B: 0.949 idt_B: 0.281
|
38 |
+
(epoch: 6, iters: 80, time: 0.318, data: 0.003) D_A: 0.225 G_A: 0.343 cycle_A: 0.644 idt_A: 0.439 D_B: 0.277 G_B: 0.303 cycle_B: 0.982 idt_B: 0.230
|
39 |
+
(epoch: 6, iters: 180, time: 0.323, data: 0.002) D_A: 0.162 G_A: 0.327 cycle_A: 0.693 idt_A: 0.421 D_B: 0.348 G_B: 0.359 cycle_B: 1.006 idt_B: 0.223
|
40 |
+
(epoch: 6, iters: 280, time: 0.326, data: 0.005) D_A: 0.223 G_A: 0.485 cycle_A: 0.672 idt_A: 0.383 D_B: 0.238 G_B: 0.288 cycle_B: 0.959 idt_B: 0.221
|
41 |
+
(epoch: 6, iters: 380, time: 0.382, data: 0.002) D_A: 0.311 G_A: 1.150 cycle_A: 0.606 idt_A: 0.422 D_B: 0.569 G_B: 0.719 cycle_B: 1.140 idt_B: 0.214
|
42 |
+
(epoch: 6, iters: 480, time: 0.325, data: 0.002) D_A: 2.091 G_A: 2.559 cycle_A: 0.603 idt_A: 0.397 D_B: 0.223 G_B: 0.283 cycle_B: 0.927 idt_B: 0.221
|
43 |
+
(epoch: 6, iters: 580, time: 0.332, data: 0.003) D_A: 0.274 G_A: 0.191 cycle_A: 0.553 idt_A: 0.369 D_B: 0.282 G_B: 0.432 cycle_B: 0.898 idt_B: 0.205
|
44 |
+
(epoch: 6, iters: 680, time: 0.325, data: 0.003) D_A: 0.261 G_A: 0.262 cycle_A: 0.532 idt_A: 0.438 D_B: 0.244 G_B: 0.370 cycle_B: 1.056 idt_B: 0.206
|
45 |
+
(epoch: 7, iters: 56, time: 0.356, data: 0.002) D_A: 0.246 G_A: 0.313 cycle_A: 0.392 idt_A: 0.405 D_B: 0.221 G_B: 0.401 cycle_B: 0.978 idt_B: 0.161
|
46 |
+
(epoch: 7, iters: 156, time: 0.333, data: 0.003) D_A: 0.236 G_A: 0.244 cycle_A: 0.489 idt_A: 0.383 D_B: 0.276 G_B: 0.319 cycle_B: 0.936 idt_B: 0.172
|
47 |
+
(epoch: 7, iters: 256, time: 0.324, data: 0.003) D_A: 0.247 G_A: 0.289 cycle_A: 0.488 idt_A: 0.416 D_B: 0.251 G_B: 0.386 cycle_B: 1.016 idt_B: 0.176
|
48 |
+
(epoch: 7, iters: 356, time: 0.329, data: 0.002) D_A: 0.249 G_A: 0.252 cycle_A: 0.427 idt_A: 0.343 D_B: 0.233 G_B: 0.365 cycle_B: 0.868 idt_B: 0.170
|
49 |
+
(epoch: 7, iters: 456, time: 0.326, data: 0.002) D_A: 0.242 G_A: 0.274 cycle_A: 0.468 idt_A: 0.368 D_B: 0.216 G_B: 0.301 cycle_B: 0.868 idt_B: 0.198
|
50 |
+
(epoch: 7, iters: 556, time: 0.332, data: 0.002) D_A: 0.236 G_A: 0.258 cycle_A: 0.550 idt_A: 0.325 D_B: 0.219 G_B: 0.300 cycle_B: 0.810 idt_B: 0.200
|
51 |
+
(epoch: 7, iters: 656, time: 0.327, data: 0.002) D_A: 0.239 G_A: 0.309 cycle_A: 0.442 idt_A: 0.358 D_B: 0.209 G_B: 0.270 cycle_B: 0.892 idt_B: 0.185
|
52 |
+
(epoch: 8, iters: 32, time: 0.294, data: 0.002) D_A: 0.230 G_A: 0.284 cycle_A: 0.547 idt_A: 0.332 D_B: 0.264 G_B: 0.243 cycle_B: 0.822 idt_B: 0.183
|
53 |
+
(epoch: 8, iters: 132, time: 0.389, data: 0.002) D_A: 0.214 G_A: 0.287 cycle_A: 0.496 idt_A: 0.321 D_B: 0.223 G_B: 0.247 cycle_B: 0.801 idt_B: 0.196
|
54 |
+
(epoch: 8, iters: 232, time: 0.315, data: 0.004) D_A: 0.235 G_A: 0.321 cycle_A: 0.640 idt_A: 0.347 D_B: 0.274 G_B: 0.274 cycle_B: 0.895 idt_B: 0.220
|
55 |
+
(epoch: 8, iters: 332, time: 0.315, data: 0.002) D_A: 0.225 G_A: 0.322 cycle_A: 0.554 idt_A: 0.384 D_B: 0.228 G_B: 0.316 cycle_B: 0.945 idt_B: 0.242
|
56 |
+
(epoch: 8, iters: 432, time: 0.315, data: 0.002) D_A: 0.204 G_A: 0.230 cycle_A: 0.525 idt_A: 0.379 D_B: 0.253 G_B: 0.294 cycle_B: 0.887 idt_B: 0.210
|
57 |
+
(epoch: 8, iters: 532, time: 0.328, data: 0.003) D_A: 0.205 G_A: 0.243 cycle_A: 0.498 idt_A: 0.392 D_B: 0.231 G_B: 0.245 cycle_B: 0.916 idt_B: 0.184
|
58 |
+
(epoch: 8, iters: 632, time: 0.313, data: 0.004) D_A: 0.224 G_A: 0.314 cycle_A: 0.520 idt_A: 0.313 D_B: 0.208 G_B: 0.317 cycle_B: 0.796 idt_B: 0.187
|
59 |
+
(epoch: 9, iters: 8, time: 0.292, data: 0.002) D_A: 0.178 G_A: 0.325 cycle_A: 0.713 idt_A: 0.384 D_B: 0.462 G_B: 0.820 cycle_B: 1.271 idt_B: 0.213
|
60 |
+
(epoch: 9, iters: 108, time: 0.329, data: 0.002) D_A: 0.356 G_A: 0.468 cycle_A: 0.568 idt_A: 0.366 D_B: 0.227 G_B: 0.520 cycle_B: 0.995 idt_B: 0.175
|
61 |
+
(epoch: 9, iters: 208, time: 0.396, data: 0.004) D_A: 0.140 G_A: 0.878 cycle_A: 0.583 idt_A: 0.415 D_B: 0.265 G_B: 0.633 cycle_B: 1.088 idt_B: 0.224
|
62 |
+
(epoch: 9, iters: 308, time: 0.326, data: 0.003) D_A: 0.265 G_A: 0.194 cycle_A: 0.464 idt_A: 0.361 D_B: 0.258 G_B: 0.157 cycle_B: 0.930 idt_B: 0.162
|
63 |
+
(epoch: 9, iters: 408, time: 0.326, data: 0.003) D_A: 0.170 G_A: 0.375 cycle_A: 0.450 idt_A: 0.365 D_B: 0.318 G_B: 0.101 cycle_B: 0.960 idt_B: 0.172
|
64 |
+
(epoch: 9, iters: 508, time: 0.324, data: 0.005) D_A: 0.255 G_A: 0.598 cycle_A: 0.544 idt_A: 0.395 D_B: 0.297 G_B: 0.395 cycle_B: 1.016 idt_B: 0.188
|
65 |
+
(epoch: 9, iters: 608, time: 0.325, data: 0.003) D_A: 0.170 G_A: 0.277 cycle_A: 0.541 idt_A: 0.398 D_B: 0.299 G_B: 0.543 cycle_B: 0.912 idt_B: 0.176
|
66 |
+
(epoch: 9, iters: 708, time: 0.326, data: 0.002) D_A: 0.170 G_A: 0.253 cycle_A: 0.551 idt_A: 0.368 D_B: 0.416 G_B: 1.078 cycle_B: 0.934 idt_B: 0.202
|
67 |
+
(epoch: 10, iters: 84, time: 0.323, data: 0.002) D_A: 0.156 G_A: 0.562 cycle_A: 0.455 idt_A: 0.371 D_B: 0.202 G_B: 0.235 cycle_B: 0.945 idt_B: 0.149
|
68 |
+
(epoch: 10, iters: 184, time: 0.340, data: 0.003) D_A: 0.202 G_A: 0.246 cycle_A: 0.558 idt_A: 0.440 D_B: 0.355 G_B: 0.398 cycle_B: 1.057 idt_B: 0.179
|
69 |
+
(epoch: 10, iters: 284, time: 0.404, data: 0.003) D_A: 0.139 G_A: 0.106 cycle_A: 0.729 idt_A: 0.339 D_B: 0.268 G_B: 0.263 cycle_B: 1.031 idt_B: 0.263
|
70 |
+
(epoch: 10, iters: 384, time: 0.357, data: 0.002) D_A: 0.188 G_A: 0.533 cycle_A: 0.486 idt_A: 0.492 D_B: 0.209 G_B: 0.266 cycle_B: 1.114 idt_B: 0.184
|
71 |
+
(epoch: 10, iters: 484, time: 0.333, data: 0.007) D_A: 0.301 G_A: 0.755 cycle_A: 0.552 idt_A: 0.448 D_B: 0.517 G_B: 0.702 cycle_B: 1.157 idt_B: 0.196
|
72 |
+
(epoch: 10, iters: 584, time: 0.329, data: 0.002) D_A: 0.205 G_A: 0.316 cycle_A: 0.447 idt_A: 0.384 D_B: 0.229 G_B: 0.358 cycle_B: 0.949 idt_B: 0.153
|
73 |
+
(epoch: 10, iters: 684, time: 0.329, data: 0.003) D_A: 0.174 G_A: 0.530 cycle_A: 0.475 idt_A: 0.339 D_B: 0.238 G_B: 0.169 cycle_B: 0.853 idt_B: 0.169
|
74 |
+
(epoch: 11, iters: 60, time: 0.301, data: 0.002) D_A: 0.139 G_A: 0.834 cycle_A: 0.477 idt_A: 0.346 D_B: 0.259 G_B: 0.476 cycle_B: 0.859 idt_B: 0.153
|
75 |
+
(epoch: 11, iters: 160, time: 0.331, data: 0.002) D_A: 0.260 G_A: 0.279 cycle_A: 0.502 idt_A: 0.357 D_B: 0.213 G_B: 0.268 cycle_B: 0.896 idt_B: 0.170
|
76 |
+
(epoch: 11, iters: 260, time: 0.337, data: 0.003) D_A: 0.214 G_A: 0.232 cycle_A: 0.468 idt_A: 0.383 D_B: 0.265 G_B: 0.587 cycle_B: 0.946 idt_B: 0.180
|
77 |
+
(epoch: 11, iters: 360, time: 0.470, data: 0.002) D_A: 0.187 G_A: 0.213 cycle_A: 0.427 idt_A: 0.351 D_B: 0.200 G_B: 0.350 cycle_B: 0.881 idt_B: 0.151
|
78 |
+
(epoch: 11, iters: 460, time: 0.340, data: 0.003) D_A: 0.190 G_A: 0.421 cycle_A: 0.568 idt_A: 0.341 D_B: 0.229 G_B: 0.222 cycle_B: 0.917 idt_B: 0.161
|
79 |
+
(epoch: 11, iters: 560, time: 0.344, data: 0.001) D_A: 0.215 G_A: 0.474 cycle_A: 0.456 idt_A: 0.316 D_B: 0.278 G_B: 0.556 cycle_B: 0.804 idt_B: 0.149
|
80 |
+
(epoch: 11, iters: 660, time: 0.335, data: 0.002) D_A: 0.220 G_A: 0.446 cycle_A: 0.450 idt_A: 0.366 D_B: 0.180 G_B: 0.265 cycle_B: 0.879 idt_B: 0.162
|
81 |
+
(epoch: 12, iters: 36, time: 0.393, data: 0.002) D_A: 0.200 G_A: 0.287 cycle_A: 0.439 idt_A: 0.337 D_B: 0.209 G_B: 0.287 cycle_B: 0.836 idt_B: 0.157
|
82 |
+
(epoch: 12, iters: 136, time: 0.335, data: 0.002) D_A: 0.220 G_A: 0.471 cycle_A: 0.467 idt_A: 0.299 D_B: 0.440 G_B: 0.459 cycle_B: 0.771 idt_B: 0.160
|
83 |
+
(epoch: 12, iters: 236, time: 0.338, data: 0.001) D_A: 0.247 G_A: 0.103 cycle_A: 0.503 idt_A: 0.314 D_B: 0.225 G_B: 0.322 cycle_B: 0.825 idt_B: 0.166
|
84 |
+
(epoch: 12, iters: 336, time: 0.334, data: 0.003) D_A: 0.161 G_A: 0.386 cycle_A: 0.513 idt_A: 0.325 D_B: 0.203 G_B: 0.360 cycle_B: 0.855 idt_B: 0.164
|
85 |
+
(epoch: 12, iters: 436, time: 0.321, data: 0.003) D_A: 0.179 G_A: 0.465 cycle_A: 0.461 idt_A: 0.347 D_B: 0.231 G_B: 0.256 cycle_B: 0.832 idt_B: 0.147
|
86 |
+
(epoch: 12, iters: 536, time: 0.338, data: 0.003) D_A: 0.144 G_A: 0.165 cycle_A: 0.715 idt_A: 0.321 D_B: 0.176 G_B: 0.291 cycle_B: 0.905 idt_B: 0.254
|
87 |
+
(epoch: 12, iters: 636, time: 0.335, data: 0.002) D_A: 0.159 G_A: 0.231 cycle_A: 0.468 idt_A: 0.293 D_B: 0.184 G_B: 0.343 cycle_B: 0.743 idt_B: 0.152
|
88 |
+
(epoch: 13, iters: 12, time: 0.288, data: 0.002) D_A: 0.245 G_A: 0.487 cycle_A: 0.485 idt_A: 0.296 D_B: 0.263 G_B: 0.187 cycle_B: 0.760 idt_B: 0.172
|
89 |
+
(epoch: 13, iters: 112, time: 0.393, data: 0.003) D_A: 0.173 G_A: 0.228 cycle_A: 0.376 idt_A: 0.279 D_B: 0.243 G_B: 0.162 cycle_B: 0.735 idt_B: 0.142
|
90 |
+
(epoch: 13, iters: 212, time: 0.327, data: 0.002) D_A: 0.198 G_A: 0.199 cycle_A: 0.570 idt_A: 0.354 D_B: 0.271 G_B: 0.204 cycle_B: 0.871 idt_B: 0.181
|
91 |
+
(epoch: 13, iters: 312, time: 0.323, data: 0.002) D_A: 0.270 G_A: 0.346 cycle_A: 0.458 idt_A: 0.326 D_B: 0.190 G_B: 0.277 cycle_B: 0.852 idt_B: 0.162
|
92 |
+
(epoch: 13, iters: 412, time: 0.334, data: 0.002) D_A: 0.258 G_A: 0.544 cycle_A: 0.631 idt_A: 0.402 D_B: 0.204 G_B: 0.426 cycle_B: 1.142 idt_B: 0.213
|
93 |
+
(epoch: 13, iters: 512, time: 0.336, data: 0.003) D_A: 0.169 G_A: 0.672 cycle_A: 0.420 idt_A: 0.339 D_B: 0.225 G_B: 0.255 cycle_B: 0.894 idt_B: 0.142
|
94 |
+
(epoch: 13, iters: 612, time: 0.341, data: 0.002) D_A: 0.226 G_A: 0.131 cycle_A: 0.516 idt_A: 0.316 D_B: 0.204 G_B: 0.314 cycle_B: 0.820 idt_B: 0.183
|
95 |
+
(epoch: 13, iters: 712, time: 0.335, data: 0.003) D_A: 0.247 G_A: 0.466 cycle_A: 0.475 idt_A: 0.335 D_B: 0.193 G_B: 0.121 cycle_B: 0.864 idt_B: 0.167
|
96 |
+
(epoch: 14, iters: 88, time: 0.336, data: 0.002) D_A: 0.194 G_A: 0.239 cycle_A: 0.416 idt_A: 0.309 D_B: 0.220 G_B: 0.276 cycle_B: 0.783 idt_B: 0.135
|
97 |
+
(epoch: 14, iters: 188, time: 0.421, data: 0.002) D_A: 0.205 G_A: 0.426 cycle_A: 0.584 idt_A: 0.345 D_B: 0.190 G_B: 0.141 cycle_B: 0.865 idt_B: 0.185
|
98 |
+
(epoch: 14, iters: 288, time: 0.335, data: 0.003) D_A: 0.288 G_A: 0.216 cycle_A: 0.520 idt_A: 0.337 D_B: 0.260 G_B: 0.297 cycle_B: 0.851 idt_B: 0.155
|
99 |
+
(epoch: 14, iters: 388, time: 0.331, data: 0.003) D_A: 0.226 G_A: 0.159 cycle_A: 0.437 idt_A: 0.365 D_B: 0.250 G_B: 0.271 cycle_B: 0.875 idt_B: 0.155
|
100 |
+
(epoch: 14, iters: 488, time: 0.337, data: 0.002) D_A: 0.164 G_A: 0.251 cycle_A: 0.428 idt_A: 0.319 D_B: 0.245 G_B: 0.249 cycle_B: 0.787 idt_B: 0.145
|
101 |
+
(epoch: 14, iters: 588, time: 0.423, data: 0.002) D_A: 0.191 G_A: 0.155 cycle_A: 0.497 idt_A: 0.287 D_B: 0.311 G_B: 0.342 cycle_B: 0.735 idt_B: 0.162
|
102 |
+
(epoch: 14, iters: 688, time: 0.342, data: 0.002) D_A: 0.147 G_A: 0.297 cycle_A: 0.475 idt_A: 0.302 D_B: 0.255 G_B: 0.271 cycle_B: 0.769 idt_B: 0.159
|
103 |
+
(epoch: 15, iters: 64, time: 0.309, data: 0.002) D_A: 0.200 G_A: 0.276 cycle_A: 0.423 idt_A: 0.323 D_B: 0.246 G_B: 0.271 cycle_B: 0.811 idt_B: 0.160
|
104 |
+
(epoch: 15, iters: 164, time: 0.337, data: 0.003) D_A: 0.203 G_A: 0.362 cycle_A: 0.381 idt_A: 0.349 D_B: 0.294 G_B: 0.143 cycle_B: 0.890 idt_B: 0.135
|
105 |
+
(epoch: 15, iters: 264, time: 0.436, data: 0.002) D_A: 0.159 G_A: 0.222 cycle_A: 0.522 idt_A: 0.276 D_B: 0.266 G_B: 0.444 cycle_B: 0.775 idt_B: 0.162
|
106 |
+
(epoch: 15, iters: 364, time: 0.336, data: 0.003) D_A: 0.164 G_A: 0.298 cycle_A: 0.616 idt_A: 0.398 D_B: 0.340 G_B: 0.798 cycle_B: 1.060 idt_B: 0.176
|
107 |
+
(epoch: 15, iters: 464, time: 0.337, data: 0.003) D_A: 0.195 G_A: 0.731 cycle_A: 0.612 idt_A: 0.349 D_B: 0.261 G_B: 0.518 cycle_B: 0.938 idt_B: 0.202
|
108 |
+
(epoch: 15, iters: 564, time: 0.329, data: 0.003) D_A: 0.291 G_A: 0.211 cycle_A: 0.472 idt_A: 0.328 D_B: 0.232 G_B: 0.143 cycle_B: 0.845 idt_B: 0.146
|
109 |
+
(epoch: 15, iters: 664, time: 0.334, data: 0.002) D_A: 0.174 G_A: 0.337 cycle_A: 0.509 idt_A: 0.272 D_B: 0.239 G_B: 0.253 cycle_B: 0.711 idt_B: 0.155
|
110 |
+
(epoch: 16, iters: 40, time: 0.287, data: 0.003) D_A: 0.189 G_A: 0.199 cycle_A: 0.458 idt_A: 0.342 D_B: 0.222 G_B: 0.312 cycle_B: 0.989 idt_B: 0.145
|
111 |
+
(epoch: 16, iters: 140, time: 0.322, data: 0.002) D_A: 0.244 G_A: 0.195 cycle_A: 0.414 idt_A: 0.362 D_B: 0.188 G_B: 0.283 cycle_B: 0.910 idt_B: 0.133
|
112 |
+
(epoch: 16, iters: 240, time: 0.320, data: 0.003) D_A: 0.210 G_A: 0.191 cycle_A: 0.383 idt_A: 0.350 D_B: 0.278 G_B: 0.459 cycle_B: 0.922 idt_B: 0.120
|
113 |
+
(epoch: 16, iters: 340, time: 0.402, data: 0.003) D_A: 0.276 G_A: 0.650 cycle_A: 0.411 idt_A: 0.323 D_B: 0.293 G_B: 0.105 cycle_B: 0.822 idt_B: 0.125
|
114 |
+
(epoch: 16, iters: 440, time: 0.317, data: 0.002) D_A: 0.178 G_A: 0.375 cycle_A: 0.389 idt_A: 0.290 D_B: 0.323 G_B: 0.085 cycle_B: 0.795 idt_B: 0.139
|
115 |
+
(epoch: 16, iters: 540, time: 0.327, data: 0.002) D_A: 0.300 G_A: 0.582 cycle_A: 0.419 idt_A: 0.330 D_B: 0.241 G_B: 0.201 cycle_B: 0.817 idt_B: 0.144
|
116 |
+
(epoch: 16, iters: 640, time: 0.323, data: 0.002) D_A: 0.237 G_A: 0.148 cycle_A: 0.465 idt_A: 0.317 D_B: 0.251 G_B: 0.168 cycle_B: 0.845 idt_B: 0.123
|
117 |
+
(epoch: 17, iters: 16, time: 0.359, data: 0.003) D_A: 0.264 G_A: 0.413 cycle_A: 0.425 idt_A: 0.321 D_B: 0.308 G_B: 0.118 cycle_B: 0.961 idt_B: 0.149
|
118 |
+
(epoch: 17, iters: 116, time: 0.321, data: 0.003) D_A: 0.196 G_A: 0.497 cycle_A: 0.346 idt_A: 0.341 D_B: 0.240 G_B: 0.248 cycle_B: 0.866 idt_B: 0.121
|
119 |
+
(epoch: 17, iters: 216, time: 0.323, data: 0.003) D_A: 0.230 G_A: 0.227 cycle_A: 0.470 idt_A: 0.306 D_B: 0.250 G_B: 0.240 cycle_B: 0.771 idt_B: 0.133
|
120 |
+
(epoch: 17, iters: 316, time: 0.321, data: 0.003) D_A: 0.199 G_A: 0.148 cycle_A: 0.417 idt_A: 0.366 D_B: 0.292 G_B: 0.316 cycle_B: 0.882 idt_B: 0.150
|
121 |
+
(epoch: 17, iters: 416, time: 0.398, data: 0.002) D_A: 0.195 G_A: 0.200 cycle_A: 0.677 idt_A: 0.291 D_B: 0.224 G_B: 0.294 cycle_B: 0.752 idt_B: 0.252
|
122 |
+
(epoch: 17, iters: 516, time: 0.323, data: 0.003) D_A: 0.173 G_A: 0.304 cycle_A: 0.381 idt_A: 0.279 D_B: 0.230 G_B: 0.243 cycle_B: 0.767 idt_B: 0.124
|
123 |
+
(epoch: 17, iters: 616, time: 0.320, data: 0.002) D_A: 0.224 G_A: 0.186 cycle_A: 0.426 idt_A: 0.295 D_B: 0.202 G_B: 0.395 cycle_B: 0.797 idt_B: 0.124
|
124 |
+
(epoch: 17, iters: 716, time: 0.322, data: 0.002) D_A: 0.164 G_A: 0.234 cycle_A: 0.450 idt_A: 0.326 D_B: 0.281 G_B: 0.396 cycle_B: 0.769 idt_B: 0.139
|
125 |
+
(epoch: 18, iters: 92, time: 0.403, data: 0.002) D_A: 0.185 G_A: 0.344 cycle_A: 0.410 idt_A: 0.317 D_B: 0.218 G_B: 0.377 cycle_B: 0.800 idt_B: 0.122
|
126 |
+
(epoch: 18, iters: 192, time: 0.324, data: 0.002) D_A: 0.192 G_A: 0.157 cycle_A: 0.424 idt_A: 0.276 D_B: 0.250 G_B: 0.134 cycle_B: 0.748 idt_B: 0.132
|
127 |
+
(epoch: 18, iters: 292, time: 0.320, data: 0.002) D_A: 0.248 G_A: 0.631 cycle_A: 0.417 idt_A: 0.267 D_B: 0.255 G_B: 0.465 cycle_B: 0.726 idt_B: 0.141
|
128 |
+
(epoch: 18, iters: 392, time: 0.324, data: 0.003) D_A: 0.146 G_A: 0.149 cycle_A: 0.507 idt_A: 0.305 D_B: 0.288 G_B: 0.107 cycle_B: 0.820 idt_B: 0.154
|
129 |
+
(epoch: 18, iters: 492, time: 0.318, data: 0.003) D_A: 0.172 G_A: 0.358 cycle_A: 0.519 idt_A: 0.316 D_B: 0.279 G_B: 0.392 cycle_B: 0.846 idt_B: 0.157
|
130 |
+
(epoch: 18, iters: 592, time: 0.324, data: 0.003) D_A: 0.231 G_A: 0.420 cycle_A: 0.394 idt_A: 0.238 D_B: 0.328 G_B: 0.576 cycle_B: 0.681 idt_B: 0.123
|
131 |
+
(epoch: 18, iters: 692, time: 0.320, data: 0.002) D_A: 0.153 G_A: 0.164 cycle_A: 0.400 idt_A: 0.279 D_B: 0.264 G_B: 0.268 cycle_B: 0.688 idt_B: 0.115
|
132 |
+
(epoch: 19, iters: 68, time: 0.300, data: 0.002) D_A: 0.216 G_A: 0.288 cycle_A: 0.413 idt_A: 0.289 D_B: 0.221 G_B: 0.262 cycle_B: 0.744 idt_B: 0.123
|
133 |
+
(epoch: 19, iters: 168, time: 0.415, data: 0.002) D_A: 0.195 G_A: 0.172 cycle_A: 0.486 idt_A: 0.296 D_B: 0.218 G_B: 0.382 cycle_B: 0.752 idt_B: 0.131
|
134 |
+
(epoch: 19, iters: 268, time: 0.323, data: 0.003) D_A: 0.441 G_A: 1.513 cycle_A: 0.463 idt_A: 0.289 D_B: 0.285 G_B: 0.650 cycle_B: 0.770 idt_B: 0.149
|
135 |
+
(epoch: 19, iters: 368, time: 0.322, data: 0.003) D_A: 0.155 G_A: 0.179 cycle_A: 0.421 idt_A: 0.240 D_B: 0.274 G_B: 0.629 cycle_B: 0.669 idt_B: 0.132
|
136 |
+
(epoch: 19, iters: 468, time: 0.321, data: 0.002) D_A: 0.254 G_A: 0.354 cycle_A: 0.439 idt_A: 0.339 D_B: 0.227 G_B: 0.509 cycle_B: 0.887 idt_B: 0.131
|
137 |
+
(epoch: 19, iters: 568, time: 0.322, data: 0.002) D_A: 0.218 G_A: 0.323 cycle_A: 0.429 idt_A: 0.288 D_B: 0.296 G_B: 0.216 cycle_B: 0.757 idt_B: 0.132
|
138 |
+
(epoch: 19, iters: 668, time: 0.316, data: 0.002) D_A: 0.190 G_A: 0.302 cycle_A: 0.416 idt_A: 0.280 D_B: 0.219 G_B: 0.332 cycle_B: 0.730 idt_B: 0.135
|
139 |
+
(epoch: 20, iters: 44, time: 0.294, data: 0.001) D_A: 0.218 G_A: 0.376 cycle_A: 0.463 idt_A: 0.336 D_B: 0.241 G_B: 0.307 cycle_B: 0.857 idt_B: 0.156
|
140 |
+
(epoch: 20, iters: 144, time: 0.321, data: 0.003) D_A: 0.203 G_A: 0.249 cycle_A: 0.445 idt_A: 0.303 D_B: 0.255 G_B: 0.213 cycle_B: 0.800 idt_B: 0.152
|
141 |
+
(epoch: 20, iters: 244, time: 0.408, data: 0.002) D_A: 0.180 G_A: 0.242 cycle_A: 0.449 idt_A: 0.289 D_B: 0.242 G_B: 0.293 cycle_B: 0.752 idt_B: 0.138
|
142 |
+
(epoch: 20, iters: 344, time: 0.319, data: 0.003) D_A: 0.174 G_A: 0.184 cycle_A: 0.423 idt_A: 0.262 D_B: 0.124 G_B: 0.407 cycle_B: 0.818 idt_B: 0.143
|
143 |
+
(epoch: 20, iters: 444, time: 0.325, data: 0.003) D_A: 0.247 G_A: 0.207 cycle_A: 0.442 idt_A: 0.296 D_B: 0.180 G_B: 0.322 cycle_B: 0.804 idt_B: 0.142
|
144 |
+
(epoch: 20, iters: 544, time: 0.317, data: 0.002) D_A: 0.205 G_A: 0.358 cycle_A: 0.544 idt_A: 0.250 D_B: 0.337 G_B: 0.868 cycle_B: 0.744 idt_B: 0.166
|
145 |
+
(epoch: 20, iters: 644, time: 0.325, data: 0.002) D_A: 0.202 G_A: 0.362 cycle_A: 0.557 idt_A: 0.327 D_B: 0.197 G_B: 0.321 cycle_B: 0.843 idt_B: 0.168
|
146 |
+
(epoch: 21, iters: 20, time: 0.288, data: 0.002) D_A: 0.243 G_A: 0.213 cycle_A: 0.400 idt_A: 0.274 D_B: 0.219 G_B: 0.401 cycle_B: 0.720 idt_B: 0.116
|
147 |
+
(epoch: 21, iters: 120, time: 0.333, data: 0.003) D_A: 0.189 G_A: 0.224 cycle_A: 0.396 idt_A: 0.332 D_B: 0.231 G_B: 0.327 cycle_B: 0.878 idt_B: 0.130
|
148 |
+
(epoch: 21, iters: 220, time: 0.318, data: 0.003) D_A: 0.175 G_A: 0.254 cycle_A: 0.624 idt_A: 0.333 D_B: 0.382 G_B: 0.204 cycle_B: 0.953 idt_B: 0.238
|
149 |
+
(epoch: 21, iters: 320, time: 0.421, data: 0.002) D_A: 0.173 G_A: 0.287 cycle_A: 0.477 idt_A: 0.309 D_B: 0.208 G_B: 0.471 cycle_B: 0.813 idt_B: 0.126
|
150 |
+
(epoch: 21, iters: 420, time: 0.320, data: 0.003) D_A: 0.217 G_A: 0.192 cycle_A: 0.418 idt_A: 0.319 D_B: 0.273 G_B: 0.184 cycle_B: 0.746 idt_B: 0.143
|
151 |
+
(epoch: 21, iters: 520, time: 0.323, data: 0.003) D_A: 0.244 G_A: 0.583 cycle_A: 0.491 idt_A: 0.272 D_B: 0.214 G_B: 0.499 cycle_B: 0.728 idt_B: 0.148
|
152 |
+
(epoch: 21, iters: 620, time: 0.326, data: 0.002) D_A: 0.210 G_A: 0.145 cycle_A: 0.519 idt_A: 0.288 D_B: 0.240 G_B: 0.239 cycle_B: 0.755 idt_B: 0.128
|
153 |
+
(epoch: 21, iters: 720, time: 0.322, data: 0.002) D_A: 0.217 G_A: 0.097 cycle_A: 0.388 idt_A: 0.271 D_B: 0.244 G_B: 0.600 cycle_B: 0.714 idt_B: 0.115
|
154 |
+
(epoch: 22, iters: 96, time: 0.321, data: 0.004) D_A: 0.215 G_A: 1.715 cycle_A: 0.721 idt_A: 0.292 D_B: 0.192 G_B: 0.491 cycle_B: 1.069 idt_B: 0.143
|
155 |
+
(epoch: 22, iters: 196, time: 0.319, data: 0.002) D_A: 0.184 G_A: 0.325 cycle_A: 0.495 idt_A: 0.363 D_B: 0.245 G_B: 0.275 cycle_B: 0.946 idt_B: 0.136
|
156 |
+
(epoch: 22, iters: 296, time: 0.323, data: 0.003) D_A: 0.201 G_A: 0.350 cycle_A: 0.488 idt_A: 0.329 D_B: 0.207 G_B: 0.282 cycle_B: 0.815 idt_B: 0.150
|
157 |
+
(epoch: 22, iters: 396, time: 0.405, data: 0.003) D_A: 0.144 G_A: 0.367 cycle_A: 0.431 idt_A: 0.437 D_B: 0.210 G_B: 0.218 cycle_B: 1.025 idt_B: 0.123
|
158 |
+
(epoch: 22, iters: 496, time: 0.323, data: 0.003) D_A: 0.133 G_A: 0.352 cycle_A: 0.658 idt_A: 0.391 D_B: 0.426 G_B: 0.724 cycle_B: 1.043 idt_B: 0.157
|
159 |
+
(epoch: 22, iters: 596, time: 0.319, data: 0.002) D_A: 0.163 G_A: 0.287 cycle_A: 0.392 idt_A: 0.294 D_B: 0.249 G_B: 0.429 cycle_B: 0.773 idt_B: 0.119
|
160 |
+
(epoch: 22, iters: 696, time: 0.325, data: 0.002) D_A: 0.311 G_A: 0.571 cycle_A: 0.444 idt_A: 0.367 D_B: 0.440 G_B: 0.039 cycle_B: 0.936 idt_B: 0.133
|
161 |
+
(epoch: 23, iters: 72, time: 0.398, data: 0.003) D_A: 0.227 G_A: 0.174 cycle_A: 0.492 idt_A: 0.306 D_B: 0.249 G_B: 0.259 cycle_B: 0.738 idt_B: 0.130
|
162 |
+
(epoch: 23, iters: 172, time: 0.325, data: 0.002) D_A: 0.265 G_A: 0.457 cycle_A: 0.432 idt_A: 0.271 D_B: 0.228 G_B: 0.256 cycle_B: 0.693 idt_B: 0.133
|
163 |
+
(epoch: 23, iters: 272, time: 0.319, data: 0.002) D_A: 0.132 G_A: 0.269 cycle_A: 0.425 idt_A: 0.259 D_B: 0.242 G_B: 0.264 cycle_B: 0.672 idt_B: 0.135
|
164 |
+
(epoch: 23, iters: 372, time: 0.323, data: 0.002) D_A: 0.171 G_A: 0.240 cycle_A: 0.462 idt_A: 0.279 D_B: 0.245 G_B: 0.267 cycle_B: 0.725 idt_B: 0.121
|
165 |
+
(epoch: 23, iters: 472, time: 0.320, data: 0.003) D_A: 0.183 G_A: 0.369 cycle_A: 0.424 idt_A: 0.296 D_B: 0.238 G_B: 0.139 cycle_B: 0.777 idt_B: 0.125
|
166 |
+
(epoch: 23, iters: 572, time: 0.324, data: 0.002) D_A: 0.217 G_A: 0.286 cycle_A: 0.396 idt_A: 0.301 D_B: 0.231 G_B: 0.200 cycle_B: 0.779 idt_B: 0.116
|
167 |
+
(epoch: 23, iters: 672, time: 0.323, data: 0.003) D_A: 0.207 G_A: 0.322 cycle_A: 0.423 idt_A: 0.267 D_B: 0.262 G_B: 0.195 cycle_B: 0.739 idt_B: 0.126
|
168 |
+
(epoch: 24, iters: 48, time: 0.291, data: 0.003) D_A: 0.167 G_A: 0.387 cycle_A: 0.413 idt_A: 0.285 D_B: 0.222 G_B: 0.317 cycle_B: 0.751 idt_B: 0.112
|
169 |
+
(epoch: 24, iters: 148, time: 0.415, data: 0.003) D_A: 0.232 G_A: 0.385 cycle_A: 0.356 idt_A: 0.306 D_B: 0.214 G_B: 0.211 cycle_B: 0.791 idt_B: 0.100
|
170 |
+
(epoch: 24, iters: 248, time: 0.322, data: 0.001) D_A: 0.149 G_A: 0.585 cycle_A: 0.545 idt_A: 0.280 D_B: 0.282 G_B: 0.419 cycle_B: 0.761 idt_B: 0.166
|
171 |
+
(epoch: 24, iters: 348, time: 0.322, data: 0.002) D_A: 0.178 G_A: 0.291 cycle_A: 0.480 idt_A: 0.305 D_B: 0.234 G_B: 0.253 cycle_B: 0.744 idt_B: 0.133
|
172 |
+
(epoch: 24, iters: 448, time: 0.321, data: 0.002) D_A: 0.209 G_A: 0.442 cycle_A: 0.392 idt_A: 0.312 D_B: 0.312 G_B: 0.277 cycle_B: 0.848 idt_B: 0.115
|
173 |
+
(epoch: 24, iters: 548, time: 0.323, data: 0.003) D_A: 0.260 G_A: 0.110 cycle_A: 0.518 idt_A: 0.331 D_B: 0.260 G_B: 0.174 cycle_B: 0.839 idt_B: 0.142
|
174 |
+
(epoch: 24, iters: 648, time: 0.318, data: 0.003) D_A: 0.151 G_A: 0.343 cycle_A: 0.374 idt_A: 0.290 D_B: 0.303 G_B: 0.649 cycle_B: 0.704 idt_B: 0.110
|
175 |
+
(epoch: 25, iters: 24, time: 0.291, data: 0.002) D_A: 0.150 G_A: 0.538 cycle_A: 0.464 idt_A: 0.317 D_B: 0.217 G_B: 0.267 cycle_B: 0.854 idt_B: 0.134
|
176 |
+
(epoch: 25, iters: 124, time: 0.324, data: 0.004) D_A: 0.156 G_A: 0.205 cycle_A: 0.393 idt_A: 0.269 D_B: 0.260 G_B: 0.487 cycle_B: 0.727 idt_B: 0.114
|
177 |
+
(epoch: 25, iters: 224, time: 0.416, data: 0.002) D_A: 0.220 G_A: 0.224 cycle_A: 0.504 idt_A: 0.295 D_B: 0.262 G_B: 0.389 cycle_B: 0.774 idt_B: 0.157
|
178 |
+
(epoch: 25, iters: 324, time: 0.321, data: 0.003) D_A: 0.190 G_A: 0.299 cycle_A: 0.359 idt_A: 0.292 D_B: 0.226 G_B: 0.194 cycle_B: 0.749 idt_B: 0.095
|
179 |
+
(epoch: 25, iters: 424, time: 0.322, data: 0.003) D_A: 0.196 G_A: 0.115 cycle_A: 0.366 idt_A: 0.234 D_B: 0.236 G_B: 0.189 cycle_B: 0.668 idt_B: 0.094
|
180 |
+
(epoch: 25, iters: 524, time: 0.317, data: 0.003) D_A: 0.217 G_A: 0.270 cycle_A: 0.395 idt_A: 0.255 D_B: 0.188 G_B: 0.281 cycle_B: 0.681 idt_B: 0.106
|
181 |
+
(epoch: 25, iters: 624, time: 0.425, data: 0.002) D_A: 0.186 G_A: 0.161 cycle_A: 0.364 idt_A: 0.280 D_B: 0.239 G_B: 0.400 cycle_B: 0.843 idt_B: 0.107
|
182 |
+
(epoch: 25, iters: 724, time: 0.137, data: 0.003) D_A: 0.135 G_A: 0.211 cycle_A: 0.422 idt_A: 0.289 D_B: 0.170 G_B: 0.397 cycle_B: 0.780 idt_B: 0.127
|
183 |
+
(epoch: 26, iters: 100, time: 0.322, data: 35.713) D_A: 0.276 G_A: 0.082 cycle_A: 0.436 idt_A: 0.275 D_B: 0.235 G_B: 0.253 cycle_B: 0.773 idt_B: 0.141
|
184 |
+
(epoch: 26, iters: 200, time: 0.320, data: 0.002) D_A: 0.339 G_A: 0.071 cycle_A: 0.355 idt_A: 0.305 D_B: 0.216 G_B: 0.426 cycle_B: 0.774 idt_B: 0.094
|
185 |
+
(epoch: 26, iters: 300, time: 0.427, data: 0.002) D_A: 0.190 G_A: 0.383 cycle_A: 0.387 idt_A: 0.291 D_B: 0.282 G_B: 0.702 cycle_B: 0.763 idt_B: 0.113
|
186 |
+
(epoch: 26, iters: 400, time: 0.323, data: 0.002) D_A: 0.269 G_A: 0.669 cycle_A: 0.467 idt_A: 0.262 D_B: 0.207 G_B: 0.209 cycle_B: 0.704 idt_B: 0.148
|
187 |
+
(epoch: 26, iters: 500, time: 0.318, data: 0.002) D_A: 0.208 G_A: 0.525 cycle_A: 0.383 idt_A: 0.248 D_B: 0.234 G_B: 0.231 cycle_B: 0.682 idt_B: 0.125
|
188 |
+
(epoch: 26, iters: 600, time: 0.325, data: 0.002) D_A: 0.241 G_A: 0.133 cycle_A: 0.420 idt_A: 0.246 D_B: 0.213 G_B: 0.254 cycle_B: 0.647 idt_B: 0.132
|
189 |
+
(epoch: 26, iters: 700, time: 0.319, data: 0.002) D_A: 0.217 G_A: 0.330 cycle_A: 0.422 idt_A: 0.291 D_B: 0.279 G_B: 0.284 cycle_B: 0.765 idt_B: 0.147
|
190 |
+
(epoch: 27, iters: 76, time: 0.313, data: 0.003) D_A: 0.196 G_A: 0.222 cycle_A: 0.390 idt_A: 0.297 D_B: 0.261 G_B: 0.123 cycle_B: 0.793 idt_B: 0.103
|
191 |
+
(epoch: 27, iters: 176, time: 0.319, data: 0.003) D_A: 0.174 G_A: 0.250 cycle_A: 0.470 idt_A: 0.260 D_B: 0.208 G_B: 0.292 cycle_B: 0.704 idt_B: 0.147
|
192 |
+
(epoch: 27, iters: 276, time: 0.322, data: 0.002) D_A: 0.179 G_A: 0.455 cycle_A: 0.351 idt_A: 0.234 D_B: 0.216 G_B: 0.235 cycle_B: 0.746 idt_B: 0.106
|
193 |
+
(epoch: 27, iters: 376, time: 0.414, data: 0.003) D_A: 0.290 G_A: 0.650 cycle_A: 0.498 idt_A: 0.265 D_B: 0.271 G_B: 0.320 cycle_B: 0.748 idt_B: 0.139
|
194 |
+
(epoch: 27, iters: 476, time: 0.325, data: 0.002) D_A: 0.194 G_A: 0.223 cycle_A: 0.431 idt_A: 0.275 D_B: 0.182 G_B: 0.347 cycle_B: 0.768 idt_B: 0.118
|
195 |
+
(epoch: 27, iters: 576, time: 0.320, data: 0.002) D_A: 0.242 G_A: 0.734 cycle_A: 0.563 idt_A: 0.269 D_B: 0.228 G_B: 0.203 cycle_B: 0.809 idt_B: 0.137
|
196 |
+
(epoch: 27, iters: 676, time: 0.322, data: 0.002) D_A: 0.199 G_A: 0.099 cycle_A: 0.379 idt_A: 0.266 D_B: 0.222 G_B: 0.154 cycle_B: 0.774 idt_B: 0.111
|
197 |
+
(epoch: 28, iters: 52, time: 0.394, data: 0.003) D_A: 0.136 G_A: 0.345 cycle_A: 0.402 idt_A: 0.264 D_B: 0.259 G_B: 0.213 cycle_B: 0.702 idt_B: 0.120
|
198 |
+
(epoch: 28, iters: 152, time: 0.324, data: 0.003) D_A: 0.150 G_A: 0.287 cycle_A: 0.366 idt_A: 0.319 D_B: 0.179 G_B: 0.233 cycle_B: 0.798 idt_B: 0.106
|
199 |
+
(epoch: 28, iters: 252, time: 0.322, data: 0.002) D_A: 0.174 G_A: 0.405 cycle_A: 0.412 idt_A: 0.253 D_B: 0.215 G_B: 0.290 cycle_B: 0.705 idt_B: 0.105
|
200 |
+
(epoch: 28, iters: 352, time: 0.320, data: 0.003) D_A: 0.144 G_A: 0.214 cycle_A: 0.324 idt_A: 0.290 D_B: 0.213 G_B: 0.328 cycle_B: 0.721 idt_B: 0.102
|
201 |
+
(epoch: 28, iters: 452, time: 0.424, data: 0.003) D_A: 0.158 G_A: 0.232 cycle_A: 0.347 idt_A: 0.262 D_B: 0.234 G_B: 0.274 cycle_B: 0.704 idt_B: 0.101
|
202 |
+
(epoch: 28, iters: 552, time: 0.320, data: 0.003) D_A: 0.136 G_A: 0.264 cycle_A: 0.372 idt_A: 0.270 D_B: 0.215 G_B: 0.406 cycle_B: 0.703 idt_B: 0.106
|
203 |
+
(epoch: 28, iters: 652, time: 0.323, data: 0.002) D_A: 0.107 G_A: 0.291 cycle_A: 0.433 idt_A: 0.211 D_B: 0.241 G_B: 0.170 cycle_B: 0.598 idt_B: 0.153
|
204 |
+
(epoch: 29, iters: 28, time: 0.296, data: 0.002) D_A: 0.214 G_A: 0.259 cycle_A: 0.488 idt_A: 0.266 D_B: 0.216 G_B: 0.301 cycle_B: 0.726 idt_B: 0.160
|
205 |
+
(epoch: 29, iters: 128, time: 0.436, data: 0.004) D_A: 0.215 G_A: 0.143 cycle_A: 0.452 idt_A: 0.239 D_B: 0.252 G_B: 0.134 cycle_B: 0.688 idt_B: 0.138
|
206 |
+
(epoch: 29, iters: 228, time: 0.318, data: 0.002) D_A: 0.186 G_A: 0.267 cycle_A: 0.392 idt_A: 0.242 D_B: 0.333 G_B: 0.079 cycle_B: 0.661 idt_B: 0.121
|
207 |
+
(epoch: 29, iters: 328, time: 0.323, data: 0.003) D_A: 0.218 G_A: 0.339 cycle_A: 0.345 idt_A: 0.233 D_B: 0.206 G_B: 0.188 cycle_B: 0.639 idt_B: 0.094
|
208 |
+
(epoch: 29, iters: 428, time: 0.321, data: 0.003) D_A: 0.192 G_A: 0.364 cycle_A: 0.357 idt_A: 0.243 D_B: 0.204 G_B: 0.208 cycle_B: 0.665 idt_B: 0.094
|
209 |
+
(epoch: 29, iters: 528, time: 0.322, data: 0.003) D_A: 0.242 G_A: 0.409 cycle_A: 0.476 idt_A: 0.233 D_B: 0.213 G_B: 0.355 cycle_B: 0.642 idt_B: 0.158
|
210 |
+
(epoch: 29, iters: 628, time: 0.318, data: 0.003) D_A: 0.174 G_A: 0.164 cycle_A: 0.375 idt_A: 0.285 D_B: 0.218 G_B: 0.402 cycle_B: 0.745 idt_B: 0.101
|
211 |
+
(epoch: 30, iters: 4, time: 0.289, data: 0.003) D_A: 0.133 G_A: 0.094 cycle_A: 0.433 idt_A: 0.261 D_B: 0.240 G_B: 0.108 cycle_B: 0.759 idt_B: 0.122
|
212 |
+
(epoch: 30, iters: 104, time: 0.323, data: 0.002) D_A: 0.161 G_A: 0.313 cycle_A: 0.343 idt_A: 0.270 D_B: 0.216 G_B: 0.304 cycle_B: 0.731 idt_B: 0.093
|
213 |
+
(epoch: 30, iters: 204, time: 0.422, data: 0.002) D_A: 0.202 G_A: 0.351 cycle_A: 0.402 idt_A: 0.294 D_B: 0.209 G_B: 0.259 cycle_B: 0.798 idt_B: 0.117
|
214 |
+
(epoch: 30, iters: 304, time: 0.322, data: 0.003) D_A: 0.161 G_A: 0.166 cycle_A: 0.406 idt_A: 0.249 D_B: 0.187 G_B: 0.316 cycle_B: 0.672 idt_B: 0.131
|
215 |
+
(epoch: 30, iters: 404, time: 0.321, data: 0.002) D_A: 0.140 G_A: 0.181 cycle_A: 0.421 idt_A: 0.326 D_B: 0.209 G_B: 0.355 cycle_B: 0.871 idt_B: 0.125
|
216 |
+
(epoch: 30, iters: 504, time: 0.319, data: 0.002) D_A: 0.195 G_A: 0.214 cycle_A: 0.415 idt_A: 0.274 D_B: 0.224 G_B: 0.314 cycle_B: 0.710 idt_B: 0.124
|
217 |
+
(epoch: 30, iters: 604, time: 0.321, data: 0.002) D_A: 0.206 G_A: 0.204 cycle_A: 0.356 idt_A: 0.301 D_B: 0.186 G_B: 0.330 cycle_B: 0.819 idt_B: 0.098
|
218 |
+
(epoch: 30, iters: 704, time: 0.318, data: 0.003) D_A: 0.218 G_A: 0.342 cycle_A: 0.360 idt_A: 0.278 D_B: 0.264 G_B: 0.227 cycle_B: 0.718 idt_B: 0.102
|
219 |
+
(epoch: 31, iters: 80, time: 0.314, data: 0.002) D_A: 0.218 G_A: 0.572 cycle_A: 0.356 idt_A: 0.240 D_B: 0.220 G_B: 0.280 cycle_B: 0.649 idt_B: 0.098
|
220 |
+
(epoch: 31, iters: 180, time: 0.319, data: 0.002) D_A: 0.210 G_A: 0.235 cycle_A: 0.416 idt_A: 0.249 D_B: 0.249 G_B: 0.266 cycle_B: 0.659 idt_B: 0.119
|
221 |
+
(epoch: 31, iters: 280, time: 0.480, data: 0.001) D_A: 0.209 G_A: 0.201 cycle_A: 0.354 idt_A: 0.282 D_B: 0.208 G_B: 0.266 cycle_B: 0.742 idt_B: 0.095
|
222 |
+
(epoch: 31, iters: 380, time: 0.318, data: 0.003) D_A: 0.246 G_A: 0.235 cycle_A: 0.406 idt_A: 0.231 D_B: 0.265 G_B: 0.303 cycle_B: 0.639 idt_B: 0.116
|
223 |
+
(epoch: 31, iters: 480, time: 0.320, data: 0.002) D_A: 0.162 G_A: 0.273 cycle_A: 0.345 idt_A: 0.228 D_B: 0.214 G_B: 0.439 cycle_B: 0.652 idt_B: 0.103
|
224 |
+
(epoch: 31, iters: 580, time: 0.317, data: 0.003) D_A: 0.200 G_A: 0.201 cycle_A: 0.393 idt_A: 0.247 D_B: 0.224 G_B: 0.213 cycle_B: 0.689 idt_B: 0.113
|
225 |
+
(epoch: 31, iters: 680, time: 0.324, data: 0.002) D_A: 0.217 G_A: 0.297 cycle_A: 0.391 idt_A: 0.279 D_B: 0.216 G_B: 0.420 cycle_B: 0.803 idt_B: 0.114
|
226 |
+
(epoch: 32, iters: 56, time: 0.291, data: 0.002) D_A: 0.214 G_A: 0.388 cycle_A: 0.316 idt_A: 0.271 D_B: 0.223 G_B: 0.286 cycle_B: 0.721 idt_B: 0.088
|
227 |
+
(epoch: 32, iters: 156, time: 0.318, data: 0.002) D_A: 0.210 G_A: 0.318 cycle_A: 0.366 idt_A: 0.246 D_B: 0.233 G_B: 0.088 cycle_B: 0.701 idt_B: 0.111
|
228 |
+
(epoch: 32, iters: 256, time: 0.321, data: 0.002) D_A: 0.169 G_A: 0.349 cycle_A: 0.396 idt_A: 0.221 D_B: 0.249 G_B: 0.187 cycle_B: 0.597 idt_B: 0.110
|
229 |
+
(epoch: 32, iters: 356, time: 0.429, data: 0.002) D_A: 0.190 G_A: 0.201 cycle_A: 0.335 idt_A: 0.227 D_B: 0.196 G_B: 0.259 cycle_B: 0.613 idt_B: 0.089
|
230 |
+
(epoch: 32, iters: 456, time: 0.316, data: 0.002) D_A: 0.188 G_A: 0.247 cycle_A: 0.362 idt_A: 0.223 D_B: 0.198 G_B: 0.129 cycle_B: 0.643 idt_B: 0.097
|
231 |
+
(epoch: 32, iters: 556, time: 0.324, data: 0.002) D_A: 0.245 G_A: 0.173 cycle_A: 0.388 idt_A: 0.239 D_B: 0.221 G_B: 0.304 cycle_B: 0.615 idt_B: 0.097
|
232 |
+
(epoch: 32, iters: 656, time: 0.317, data: 0.002) D_A: 0.169 G_A: 0.305 cycle_A: 0.383 idt_A: 0.229 D_B: 0.212 G_B: 0.362 cycle_B: 0.693 idt_B: 0.112
|
233 |
+
(epoch: 33, iters: 32, time: 0.405, data: 0.002) D_A: 0.208 G_A: 0.194 cycle_A: 0.408 idt_A: 0.255 D_B: 0.240 G_B: 0.291 cycle_B: 0.717 idt_B: 0.129
|
234 |
+
(epoch: 33, iters: 132, time: 0.322, data: 0.003) D_A: 0.170 G_A: 0.401 cycle_A: 0.306 idt_A: 0.228 D_B: 0.215 G_B: 0.400 cycle_B: 0.651 idt_B: 0.088
|
235 |
+
(epoch: 33, iters: 232, time: 0.324, data: 0.002) D_A: 0.154 G_A: 0.212 cycle_A: 0.325 idt_A: 0.264 D_B: 0.267 G_B: 0.119 cycle_B: 0.722 idt_B: 0.087
|
236 |
+
(epoch: 33, iters: 332, time: 0.320, data: 0.003) D_A: 0.191 G_A: 0.442 cycle_A: 0.377 idt_A: 0.207 D_B: 0.216 G_B: 0.387 cycle_B: 0.599 idt_B: 0.103
|
237 |
+
(epoch: 33, iters: 432, time: 0.326, data: 0.002) D_A: 0.221 G_A: 0.353 cycle_A: 0.375 idt_A: 0.196 D_B: 0.267 G_B: 0.328 cycle_B: 0.563 idt_B: 0.096
|
238 |
+
(epoch: 33, iters: 532, time: 0.317, data: 0.002) D_A: 0.239 G_A: 0.491 cycle_A: 0.422 idt_A: 0.252 D_B: 0.220 G_B: 0.396 cycle_B: 0.687 idt_B: 0.134
|
239 |
+
(epoch: 33, iters: 632, time: 0.325, data: 0.002) D_A: 0.241 G_A: 0.308 cycle_A: 0.359 idt_A: 0.272 D_B: 0.246 G_B: 0.253 cycle_B: 0.720 idt_B: 0.094
|
240 |
+
(epoch: 34, iters: 8, time: 0.283, data: 0.003) D_A: 0.214 G_A: 0.288 cycle_A: 0.412 idt_A: 0.219 D_B: 0.189 G_B: 0.327 cycle_B: 0.714 idt_B: 0.127
|
241 |
+
(epoch: 34, iters: 108, time: 0.435, data: 0.002) D_A: 0.241 G_A: 0.342 cycle_A: 0.361 idt_A: 0.238 D_B: 0.216 G_B: 0.466 cycle_B: 0.684 idt_B: 0.094
|
242 |
+
(epoch: 34, iters: 208, time: 0.319, data: 0.002) D_A: 0.171 G_A: 0.296 cycle_A: 0.338 idt_A: 0.238 D_B: 0.190 G_B: 0.193 cycle_B: 0.684 idt_B: 0.088
|
243 |
+
(epoch: 34, iters: 308, time: 0.324, data: 0.002) D_A: 0.140 G_A: 0.340 cycle_A: 0.386 idt_A: 0.229 D_B: 0.212 G_B: 0.352 cycle_B: 0.625 idt_B: 0.098
|
244 |
+
(epoch: 34, iters: 408, time: 0.318, data: 0.002) D_A: 0.208 G_A: 0.279 cycle_A: 0.396 idt_A: 0.285 D_B: 0.236 G_B: 0.185 cycle_B: 0.802 idt_B: 0.094
|
245 |
+
(epoch: 34, iters: 508, time: 0.323, data: 0.002) D_A: 0.200 G_A: 0.373 cycle_A: 0.424 idt_A: 0.255 D_B: 0.220 G_B: 0.201 cycle_B: 0.690 idt_B: 0.117
|
246 |
+
(epoch: 34, iters: 608, time: 0.316, data: 0.002) D_A: 0.194 G_A: 0.329 cycle_A: 0.400 idt_A: 0.348 D_B: 0.258 G_B: 0.216 cycle_B: 0.890 idt_B: 0.105
|
247 |
+
(epoch: 34, iters: 708, time: 0.327, data: 0.003) D_A: 0.215 G_A: 0.155 cycle_A: 0.370 idt_A: 0.204 D_B: 0.254 G_B: 0.310 cycle_B: 0.566 idt_B: 0.100
|
248 |
+
(epoch: 35, iters: 84, time: 0.312, data: 0.002) D_A: 0.266 G_A: 0.223 cycle_A: 0.393 idt_A: 0.242 D_B: 0.250 G_B: 0.266 cycle_B: 0.672 idt_B: 0.121
|
249 |
+
(epoch: 35, iters: 184, time: 0.440, data: 0.002) D_A: 0.229 G_A: 0.342 cycle_A: 0.350 idt_A: 0.252 D_B: 0.256 G_B: 0.420 cycle_B: 0.741 idt_B: 0.097
|
250 |
+
(epoch: 35, iters: 284, time: 0.324, data: 0.002) D_A: 0.194 G_A: 0.292 cycle_A: 0.355 idt_A: 0.229 D_B: 0.262 G_B: 0.406 cycle_B: 0.635 idt_B: 0.101
|
251 |
+
(epoch: 35, iters: 384, time: 0.314, data: 0.002) D_A: 0.256 G_A: 0.401 cycle_A: 0.381 idt_A: 0.260 D_B: 0.215 G_B: 0.184 cycle_B: 0.701 idt_B: 0.116
|
252 |
+
(epoch: 35, iters: 484, time: 0.347, data: 0.003) D_A: 0.202 G_A: 0.203 cycle_A: 0.398 idt_A: 0.214 D_B: 0.187 G_B: 0.356 cycle_B: 0.646 idt_B: 0.104
|
253 |
+
(epoch: 35, iters: 584, time: 0.342, data: 0.002) D_A: 0.266 G_A: 0.314 cycle_A: 0.419 idt_A: 0.254 D_B: 0.299 G_B: 0.090 cycle_B: 0.713 idt_B: 0.110
|
254 |
+
(epoch: 35, iters: 684, time: 0.328, data: 0.004) D_A: 0.244 G_A: 0.217 cycle_A: 0.333 idt_A: 0.207 D_B: 0.197 G_B: 0.313 cycle_B: 0.598 idt_B: 0.088
|
255 |
+
(epoch: 36, iters: 60, time: 0.295, data: 0.004) D_A: 0.185 G_A: 0.269 cycle_A: 0.355 idt_A: 0.264 D_B: 0.201 G_B: 0.170 cycle_B: 0.729 idt_B: 0.092
|
256 |
+
(epoch: 36, iters: 160, time: 0.329, data: 0.002) D_A: 0.285 G_A: 0.258 cycle_A: 0.363 idt_A: 0.223 D_B: 0.235 G_B: 0.474 cycle_B: 0.675 idt_B: 0.090
|
257 |
+
(epoch: 36, iters: 260, time: 0.448, data: 0.004) D_A: 0.233 G_A: 0.225 cycle_A: 0.374 idt_A: 0.213 D_B: 0.223 G_B: 0.347 cycle_B: 0.591 idt_B: 0.096
|
258 |
+
(epoch: 36, iters: 360, time: 0.326, data: 0.002) D_A: 0.202 G_A: 0.384 cycle_A: 0.358 idt_A: 0.233 D_B: 0.204 G_B: 0.226 cycle_B: 0.688 idt_B: 0.093
|
259 |
+
(epoch: 36, iters: 460, time: 0.326, data: 0.003) D_A: 0.231 G_A: 0.148 cycle_A: 0.445 idt_A: 0.219 D_B: 0.241 G_B: 0.528 cycle_B: 0.625 idt_B: 0.124
|
260 |
+
(epoch: 36, iters: 560, time: 0.328, data: 0.003) D_A: 0.249 G_A: 0.442 cycle_A: 0.355 idt_A: 0.251 D_B: 0.189 G_B: 0.370 cycle_B: 0.755 idt_B: 0.097
|
261 |
+
(epoch: 36, iters: 660, time: 0.449, data: 0.003) D_A: 0.386 G_A: 0.052 cycle_A: 0.345 idt_A: 0.248 D_B: 0.197 G_B: 0.270 cycle_B: 0.704 idt_B: 0.096
|
262 |
+
(epoch: 37, iters: 36, time: 0.292, data: 0.002) D_A: 0.236 G_A: 0.191 cycle_A: 0.391 idt_A: 0.199 D_B: 0.252 G_B: 0.214 cycle_B: 0.570 idt_B: 0.104
|
263 |
+
(epoch: 37, iters: 136, time: 0.325, data: 0.002) D_A: 0.194 G_A: 0.181 cycle_A: 0.331 idt_A: 0.229 D_B: 0.242 G_B: 0.120 cycle_B: 0.657 idt_B: 0.095
|
264 |
+
(epoch: 37, iters: 236, time: 0.325, data: 0.002) D_A: 0.311 G_A: 0.336 cycle_A: 0.348 idt_A: 0.221 D_B: 0.217 G_B: 0.295 cycle_B: 0.615 idt_B: 0.098
|
265 |
+
(epoch: 37, iters: 336, time: 0.449, data: 0.003) D_A: 0.227 G_A: 0.271 cycle_A: 0.360 idt_A: 0.254 D_B: 0.244 G_B: 0.127 cycle_B: 0.702 idt_B: 0.095
|
266 |
+
(epoch: 37, iters: 436, time: 0.325, data: 0.002) D_A: 0.245 G_A: 0.431 cycle_A: 0.336 idt_A: 0.252 D_B: 0.238 G_B: 0.137 cycle_B: 0.675 idt_B: 0.092
|
267 |
+
(epoch: 37, iters: 536, time: 0.325, data: 0.002) D_A: 0.231 G_A: 0.385 cycle_A: 0.414 idt_A: 0.212 D_B: 0.236 G_B: 0.204 cycle_B: 0.608 idt_B: 0.093
|
268 |
+
(epoch: 37, iters: 636, time: 0.325, data: 0.001) D_A: 0.198 G_A: 0.208 cycle_A: 0.334 idt_A: 0.223 D_B: 0.183 G_B: 0.359 cycle_B: 0.664 idt_B: 0.091
|
269 |
+
(epoch: 38, iters: 12, time: 0.408, data: 0.003) D_A: 0.175 G_A: 0.181 cycle_A: 0.316 idt_A: 0.247 D_B: 0.186 G_B: 0.133 cycle_B: 0.694 idt_B: 0.092
|
270 |
+
(epoch: 38, iters: 112, time: 0.322, data: 0.003) D_A: 0.237 G_A: 0.226 cycle_A: 0.320 idt_A: 0.194 D_B: 0.212 G_B: 0.226 cycle_B: 0.561 idt_B: 0.082
|
271 |
+
(epoch: 38, iters: 212, time: 0.328, data: 0.005) D_A: 0.197 G_A: 0.151 cycle_A: 0.350 idt_A: 0.243 D_B: 0.276 G_B: 0.068 cycle_B: 0.691 idt_B: 0.089
|
272 |
+
(epoch: 38, iters: 312, time: 0.329, data: 0.003) D_A: 0.201 G_A: 0.346 cycle_A: 0.344 idt_A: 0.246 D_B: 0.288 G_B: 0.202 cycle_B: 0.628 idt_B: 0.099
|
273 |
+
(epoch: 38, iters: 412, time: 0.328, data: 0.002) D_A: 0.214 G_A: 0.312 cycle_A: 0.389 idt_A: 0.229 D_B: 0.248 G_B: 0.518 cycle_B: 0.681 idt_B: 0.101
|
274 |
+
(epoch: 38, iters: 512, time: 0.333, data: 0.003) D_A: 0.255 G_A: 0.342 cycle_A: 0.334 idt_A: 0.223 D_B: 0.237 G_B: 0.237 cycle_B: 0.602 idt_B: 0.101
|
275 |
+
(epoch: 38, iters: 612, time: 0.338, data: 0.002) D_A: 0.262 G_A: 0.303 cycle_A: 0.342 idt_A: 0.221 D_B: 0.225 G_B: 0.253 cycle_B: 0.653 idt_B: 0.095
|
276 |
+
(epoch: 38, iters: 712, time: 0.325, data: 0.003) D_A: 0.246 G_A: 0.217 cycle_A: 0.357 idt_A: 0.245 D_B: 0.277 G_B: 0.098 cycle_B: 0.654 idt_B: 0.096
|
277 |
+
(epoch: 39, iters: 88, time: 0.455, data: 0.002) D_A: 0.225 G_A: 0.240 cycle_A: 0.353 idt_A: 0.248 D_B: 0.204 G_B: 0.232 cycle_B: 0.652 idt_B: 0.087
|
278 |
+
(epoch: 39, iters: 188, time: 0.331, data: 0.002) D_A: 0.164 G_A: 0.377 cycle_A: 0.350 idt_A: 0.242 D_B: 0.236 G_B: 0.275 cycle_B: 0.653 idt_B: 0.100
|
279 |
+
(epoch: 39, iters: 288, time: 0.326, data: 0.004) D_A: 0.236 G_A: 0.232 cycle_A: 0.308 idt_A: 0.249 D_B: 0.209 G_B: 0.387 cycle_B: 0.681 idt_B: 0.079
|
280 |
+
(epoch: 39, iters: 388, time: 0.327, data: 0.002) D_A: 0.189 G_A: 0.175 cycle_A: 0.339 idt_A: 0.234 D_B: 0.278 G_B: 0.074 cycle_B: 0.670 idt_B: 0.095
|
281 |
+
(epoch: 39, iters: 488, time: 0.458, data: 0.002) D_A: 0.179 G_A: 0.287 cycle_A: 0.297 idt_A: 0.230 D_B: 0.218 G_B: 0.205 cycle_B: 0.641 idt_B: 0.073
|
282 |
+
(epoch: 39, iters: 588, time: 0.325, data: 0.002) D_A: 0.267 G_A: 0.278 cycle_A: 0.333 idt_A: 0.243 D_B: 0.250 G_B: 0.276 cycle_B: 0.701 idt_B: 0.092
|
283 |
+
(epoch: 39, iters: 688, time: 0.329, data: 0.002) D_A: 0.229 G_A: 0.188 cycle_A: 0.356 idt_A: 0.205 D_B: 0.223 G_B: 0.296 cycle_B: 0.602 idt_B: 0.100
|
284 |
+
(epoch: 40, iters: 64, time: 0.307, data: 0.001) D_A: 0.272 G_A: 0.187 cycle_A: 0.344 idt_A: 0.231 D_B: 0.222 G_B: 0.245 cycle_B: 0.607 idt_B: 0.093
|
285 |
+
(epoch: 40, iters: 164, time: 0.527, data: 0.002) D_A: 0.201 G_A: 0.263 cycle_A: 0.378 idt_A: 0.183 D_B: 0.271 G_B: 0.302 cycle_B: 0.537 idt_B: 0.099
|
286 |
+
(epoch: 40, iters: 264, time: 0.340, data: 0.002) D_A: 0.180 G_A: 0.183 cycle_A: 0.356 idt_A: 0.258 D_B: 0.275 G_B: 0.292 cycle_B: 0.675 idt_B: 0.093
|
287 |
+
(epoch: 40, iters: 364, time: 0.348, data: 0.004) D_A: 0.209 G_A: 0.390 cycle_A: 0.311 idt_A: 0.230 D_B: 0.213 G_B: 0.365 cycle_B: 0.627 idt_B: 0.080
|
288 |
+
(epoch: 40, iters: 464, time: 0.339, data: 0.002) D_A: 0.172 G_A: 0.272 cycle_A: 0.371 idt_A: 0.216 D_B: 0.229 G_B: 0.259 cycle_B: 0.649 idt_B: 0.090
|
289 |
+
(epoch: 40, iters: 564, time: 0.329, data: 0.002) D_A: 0.253 G_A: 0.280 cycle_A: 0.324 idt_A: 0.225 D_B: 0.205 G_B: 0.355 cycle_B: 0.684 idt_B: 0.087
|
290 |
+
(epoch: 40, iters: 664, time: 0.329, data: 0.003) D_A: 0.220 G_A: 0.298 cycle_A: 0.348 idt_A: 0.182 D_B: 0.184 G_B: 0.332 cycle_B: 0.555 idt_B: 0.100
|
291 |
+
(epoch: 41, iters: 40, time: 0.298, data: 0.003) D_A: 0.163 G_A: 0.371 cycle_A: 0.346 idt_A: 0.216 D_B: 0.212 G_B: 0.179 cycle_B: 0.634 idt_B: 0.087
|
292 |
+
(epoch: 41, iters: 140, time: 0.327, data: 0.003) D_A: 0.197 G_A: 0.296 cycle_A: 0.327 idt_A: 0.213 D_B: 0.283 G_B: 0.543 cycle_B: 0.681 idt_B: 0.086
|
293 |
+
(epoch: 41, iters: 240, time: 0.544, data: 0.003) D_A: 0.194 G_A: 0.301 cycle_A: 0.356 idt_A: 0.225 D_B: 0.233 G_B: 0.085 cycle_B: 0.652 idt_B: 0.094
|
294 |
+
(epoch: 41, iters: 340, time: 0.330, data: 0.003) D_A: 0.185 G_A: 0.307 cycle_A: 0.343 idt_A: 0.204 D_B: 0.205 G_B: 0.259 cycle_B: 0.609 idt_B: 0.091
|
295 |
+
(epoch: 41, iters: 440, time: 0.329, data: 0.002) D_A: 0.137 G_A: 0.266 cycle_A: 0.331 idt_A: 0.205 D_B: 0.216 G_B: 0.226 cycle_B: 0.587 idt_B: 0.083
|
296 |
+
(epoch: 41, iters: 540, time: 0.329, data: 0.003) D_A: 0.181 G_A: 0.358 cycle_A: 0.304 idt_A: 0.229 D_B: 0.181 G_B: 0.137 cycle_B: 0.690 idt_B: 0.078
|
297 |
+
(epoch: 41, iters: 640, time: 0.332, data: 0.003) D_A: 0.197 G_A: 0.268 cycle_A: 0.297 idt_A: 0.190 D_B: 0.205 G_B: 0.222 cycle_B: 0.585 idt_B: 0.074
|
298 |
+
(epoch: 42, iters: 16, time: 0.306, data: 0.003) D_A: 0.188 G_A: 0.451 cycle_A: 0.326 idt_A: 0.230 D_B: 0.233 G_B: 0.510 cycle_B: 0.652 idt_B: 0.079
|
299 |
+
(epoch: 42, iters: 116, time: 0.340, data: 0.002) D_A: 0.236 G_A: 0.219 cycle_A: 0.284 idt_A: 0.246 D_B: 0.226 G_B: 0.186 cycle_B: 0.718 idt_B: 0.076
|
300 |
+
(epoch: 42, iters: 216, time: 0.338, data: 0.008) D_A: 0.194 G_A: 0.191 cycle_A: 0.320 idt_A: 0.214 D_B: 0.271 G_B: 0.146 cycle_B: 0.603 idt_B: 0.085
|
301 |
+
(epoch: 42, iters: 316, time: 0.489, data: 0.003) D_A: 0.256 G_A: 0.320 cycle_A: 0.397 idt_A: 0.242 D_B: 0.187 G_B: 0.298 cycle_B: 0.687 idt_B: 0.107
|
302 |
+
(epoch: 42, iters: 416, time: 0.327, data: 0.003) D_A: 0.223 G_A: 0.216 cycle_A: 0.294 idt_A: 0.204 D_B: 0.226 G_B: 0.192 cycle_B: 0.582 idt_B: 0.078
|
303 |
+
(epoch: 42, iters: 516, time: 0.328, data: 0.003) D_A: 0.190 G_A: 0.307 cycle_A: 0.328 idt_A: 0.205 D_B: 0.225 G_B: 0.179 cycle_B: 0.599 idt_B: 0.083
|
304 |
+
(epoch: 42, iters: 616, time: 0.327, data: 0.003) D_A: 0.206 G_A: 0.277 cycle_A: 0.346 idt_A: 0.238 D_B: 0.203 G_B: 0.268 cycle_B: 0.634 idt_B: 0.081
|
305 |
+
(epoch: 42, iters: 716, time: 0.328, data: 0.004) D_A: 0.174 G_A: 0.189 cycle_A: 0.366 idt_A: 0.179 D_B: 0.265 G_B: 0.204 cycle_B: 0.566 idt_B: 0.090
|
306 |
+
(epoch: 43, iters: 92, time: 0.325, data: 0.003) D_A: 0.212 G_A: 0.262 cycle_A: 0.348 idt_A: 0.230 D_B: 0.264 G_B: 0.237 cycle_B: 0.655 idt_B: 0.086
|
307 |
+
(epoch: 43, iters: 192, time: 0.314, data: 0.003) D_A: 0.189 G_A: 0.328 cycle_A: 0.335 idt_A: 0.238 D_B: 0.208 G_B: 0.258 cycle_B: 0.621 idt_B: 0.092
|
308 |
+
(epoch: 43, iters: 292, time: 0.315, data: 0.002) D_A: 0.197 G_A: 0.211 cycle_A: 0.309 idt_A: 0.196 D_B: 0.183 G_B: 0.355 cycle_B: 0.556 idt_B: 0.089
|
309 |
+
(epoch: 43, iters: 392, time: 0.463, data: 0.003) D_A: 0.210 G_A: 0.299 cycle_A: 0.353 idt_A: 0.188 D_B: 0.230 G_B: 0.259 cycle_B: 0.564 idt_B: 0.091
|
310 |
+
(epoch: 43, iters: 492, time: 0.330, data: 0.003) D_A: 0.250 G_A: 0.210 cycle_A: 0.290 idt_A: 0.195 D_B: 0.204 G_B: 0.225 cycle_B: 0.585 idt_B: 0.076
|
311 |
+
(epoch: 43, iters: 592, time: 0.327, data: 0.003) D_A: 0.192 G_A: 0.270 cycle_A: 0.306 idt_A: 0.235 D_B: 0.314 G_B: 0.088 cycle_B: 0.708 idt_B: 0.077
|
312 |
+
(epoch: 43, iters: 692, time: 0.323, data: 0.003) D_A: 0.206 G_A: 0.361 cycle_A: 0.334 idt_A: 0.204 D_B: 0.210 G_B: 0.323 cycle_B: 0.607 idt_B: 0.087
|
313 |
+
(epoch: 44, iters: 68, time: 0.455, data: 0.003) D_A: 0.198 G_A: 0.237 cycle_A: 0.302 idt_A: 0.223 D_B: 0.206 G_B: 0.278 cycle_B: 0.671 idt_B: 0.074
|
314 |
+
(epoch: 44, iters: 168, time: 0.315, data: 0.002) D_A: 0.201 G_A: 0.246 cycle_A: 0.335 idt_A: 0.216 D_B: 0.262 G_B: 0.082 cycle_B: 0.644 idt_B: 0.085
|
315 |
+
(epoch: 44, iters: 268, time: 0.340, data: 0.003) D_A: 0.253 G_A: 0.219 cycle_A: 0.330 idt_A: 0.192 D_B: 0.256 G_B: 0.182 cycle_B: 0.578 idt_B: 0.088
|
316 |
+
(epoch: 44, iters: 368, time: 0.329, data: 0.002) D_A: 0.188 G_A: 0.276 cycle_A: 0.287 idt_A: 0.217 D_B: 0.248 G_B: 0.194 cycle_B: 0.634 idt_B: 0.070
|
317 |
+
(epoch: 44, iters: 468, time: 0.323, data: 0.003) D_A: 0.280 G_A: 0.258 cycle_A: 0.301 idt_A: 0.193 D_B: 0.198 G_B: 0.367 cycle_B: 0.573 idt_B: 0.081
|
318 |
+
(epoch: 44, iters: 568, time: 0.317, data: 0.003) D_A: 0.184 G_A: 0.310 cycle_A: 0.320 idt_A: 0.207 D_B: 0.232 G_B: 0.239 cycle_B: 0.646 idt_B: 0.078
|
319 |
+
(epoch: 44, iters: 668, time: 0.315, data: 0.003) D_A: 0.202 G_A: 0.305 cycle_A: 0.310 idt_A: 0.254 D_B: 0.215 G_B: 0.224 cycle_B: 0.704 idt_B: 0.077
|
320 |
+
(epoch: 45, iters: 44, time: 0.285, data: 0.002) D_A: 0.234 G_A: 0.239 cycle_A: 0.337 idt_A: 0.215 D_B: 0.202 G_B: 0.274 cycle_B: 0.629 idt_B: 0.086
|
321 |
+
(epoch: 45, iters: 144, time: 0.459, data: 0.002) D_A: 0.186 G_A: 0.265 cycle_A: 0.285 idt_A: 0.223 D_B: 0.239 G_B: 0.395 cycle_B: 0.616 idt_B: 0.079
|
322 |
+
(epoch: 45, iters: 244, time: 0.316, data: 0.002) D_A: 0.224 G_A: 0.312 cycle_A: 0.304 idt_A: 0.237 D_B: 0.230 G_B: 0.348 cycle_B: 0.631 idt_B: 0.081
|
323 |
+
(epoch: 45, iters: 344, time: 0.318, data: 0.002) D_A: 0.265 G_A: 0.274 cycle_A: 0.343 idt_A: 0.210 D_B: 0.214 G_B: 0.285 cycle_B: 0.602 idt_B: 0.099
|
324 |
+
(epoch: 45, iters: 444, time: 0.319, data: 0.002) D_A: 0.247 G_A: 0.268 cycle_A: 0.324 idt_A: 0.213 D_B: 0.192 G_B: 0.267 cycle_B: 0.609 idt_B: 0.089
|
325 |
+
(epoch: 45, iters: 544, time: 0.317, data: 0.003) D_A: 0.178 G_A: 0.208 cycle_A: 0.303 idt_A: 0.192 D_B: 0.255 G_B: 0.319 cycle_B: 0.593 idt_B: 0.076
|
326 |
+
(epoch: 45, iters: 644, time: 0.318, data: 0.002) D_A: 0.241 G_A: 0.311 cycle_A: 0.300 idt_A: 0.217 D_B: 0.199 G_B: 0.228 cycle_B: 0.620 idt_B: 0.075
|
327 |
+
(epoch: 46, iters: 20, time: 0.285, data: 0.003) D_A: 0.303 G_A: 0.225 cycle_A: 0.299 idt_A: 0.246 D_B: 0.237 G_B: 0.264 cycle_B: 0.702 idt_B: 0.076
|
328 |
+
(epoch: 46, iters: 120, time: 0.315, data: 0.003) D_A: 0.198 G_A: 0.269 cycle_A: 0.306 idt_A: 0.200 D_B: 0.275 G_B: 0.104 cycle_B: 0.573 idt_B: 0.079
|
329 |
+
(epoch: 46, iters: 220, time: 0.465, data: 0.003) D_A: 0.215 G_A: 0.265 cycle_A: 0.300 idt_A: 0.248 D_B: 0.223 G_B: 0.352 cycle_B: 0.701 idt_B: 0.077
|
330 |
+
(epoch: 46, iters: 320, time: 0.318, data: 0.002) D_A: 0.184 G_A: 0.289 cycle_A: 0.321 idt_A: 0.195 D_B: 0.219 G_B: 0.437 cycle_B: 0.575 idt_B: 0.084
|
331 |
+
(epoch: 46, iters: 420, time: 0.317, data: 0.002) D_A: 0.204 G_A: 0.354 cycle_A: 0.330 idt_A: 0.229 D_B: 0.228 G_B: 0.265 cycle_B: 0.671 idt_B: 0.089
|
332 |
+
(epoch: 46, iters: 520, time: 0.318, data: 0.004) D_A: 0.313 G_A: 0.156 cycle_A: 0.315 idt_A: 0.235 D_B: 0.232 G_B: 0.249 cycle_B: 0.673 idt_B: 0.078
|
333 |
+
(epoch: 46, iters: 620, time: 0.322, data: 0.001) D_A: 0.202 G_A: 0.373 cycle_A: 0.327 idt_A: 0.183 D_B: 0.196 G_B: 0.304 cycle_B: 0.561 idt_B: 0.085
|
334 |
+
(epoch: 46, iters: 720, time: 0.319, data: 0.002) D_A: 0.182 G_A: 0.298 cycle_A: 0.308 idt_A: 0.222 D_B: 0.240 G_B: 0.276 cycle_B: 0.628 idt_B: 0.078
|
335 |
+
(epoch: 47, iters: 96, time: 0.317, data: 0.002) D_A: 0.188 G_A: 0.302 cycle_A: 0.298 idt_A: 0.207 D_B: 0.220 G_B: 0.225 cycle_B: 0.599 idt_B: 0.080
|
336 |
+
(epoch: 47, iters: 196, time: 0.316, data: 0.002) D_A: 0.221 G_A: 0.295 cycle_A: 0.295 idt_A: 0.190 D_B: 0.269 G_B: 0.272 cycle_B: 0.565 idt_B: 0.076
|
337 |
+
(epoch: 47, iters: 296, time: 0.493, data: 0.002) D_A: 0.233 G_A: 0.283 cycle_A: 0.314 idt_A: 0.207 D_B: 0.231 G_B: 0.290 cycle_B: 0.623 idt_B: 0.084
|
338 |
+
(epoch: 47, iters: 396, time: 0.318, data: 0.004) D_A: 0.237 G_A: 0.274 cycle_A: 0.325 idt_A: 0.202 D_B: 0.238 G_B: 0.183 cycle_B: 0.615 idt_B: 0.080
|
339 |
+
(epoch: 47, iters: 496, time: 0.316, data: 0.003) D_A: 0.197 G_A: 0.264 cycle_A: 0.332 idt_A: 0.214 D_B: 0.230 G_B: 0.258 cycle_B: 0.602 idt_B: 0.085
|
340 |
+
(epoch: 47, iters: 596, time: 0.317, data: 0.002) D_A: 0.186 G_A: 0.257 cycle_A: 0.288 idt_A: 0.218 D_B: 0.226 G_B: 0.265 cycle_B: 0.646 idt_B: 0.075
|
341 |
+
(epoch: 47, iters: 696, time: 0.458, data: 0.003) D_A: 0.232 G_A: 0.231 cycle_A: 0.303 idt_A: 0.193 D_B: 0.235 G_B: 0.234 cycle_B: 0.579 idt_B: 0.080
|
342 |
+
(epoch: 48, iters: 72, time: 0.296, data: 0.002) D_A: 0.184 G_A: 0.312 cycle_A: 0.312 idt_A: 0.200 D_B: 0.248 G_B: 0.226 cycle_B: 0.609 idt_B: 0.078
|
343 |
+
(epoch: 48, iters: 172, time: 0.316, data: 0.003) D_A: 0.199 G_A: 0.219 cycle_A: 0.323 idt_A: 0.201 D_B: 0.232 G_B: 0.307 cycle_B: 0.589 idt_B: 0.079
|
344 |
+
(epoch: 48, iters: 272, time: 0.317, data: 0.004) D_A: 0.225 G_A: 0.228 cycle_A: 0.359 idt_A: 0.252 D_B: 0.223 G_B: 0.283 cycle_B: 0.705 idt_B: 0.093
|
345 |
+
(epoch: 48, iters: 372, time: 0.477, data: 0.003) D_A: 0.244 G_A: 0.250 cycle_A: 0.304 idt_A: 0.206 D_B: 0.241 G_B: 0.297 cycle_B: 0.627 idt_B: 0.078
|
346 |
+
(epoch: 48, iters: 472, time: 0.322, data: 0.002) D_A: 0.229 G_A: 0.280 cycle_A: 0.292 idt_A: 0.188 D_B: 0.272 G_B: 0.186 cycle_B: 0.579 idt_B: 0.077
|
347 |
+
(epoch: 48, iters: 572, time: 0.320, data: 0.003) D_A: 0.203 G_A: 0.314 cycle_A: 0.316 idt_A: 0.236 D_B: 0.214 G_B: 0.243 cycle_B: 0.695 idt_B: 0.080
|
348 |
+
(epoch: 48, iters: 672, time: 0.318, data: 0.003) D_A: 0.169 G_A: 0.334 cycle_A: 0.327 idt_A: 0.186 D_B: 0.222 G_B: 0.214 cycle_B: 0.551 idt_B: 0.088
|
349 |
+
(epoch: 49, iters: 48, time: 0.548, data: 0.002) D_A: 0.178 G_A: 0.275 cycle_A: 0.287 idt_A: 0.182 D_B: 0.233 G_B: 0.271 cycle_B: 0.536 idt_B: 0.074
|
350 |
+
(epoch: 49, iters: 148, time: 0.320, data: 0.002) D_A: 0.266 G_A: 0.277 cycle_A: 0.311 idt_A: 0.206 D_B: 0.220 G_B: 0.279 cycle_B: 0.586 idt_B: 0.081
|
351 |
+
(epoch: 49, iters: 248, time: 0.317, data: 0.002) D_A: 0.239 G_A: 0.308 cycle_A: 0.342 idt_A: 0.245 D_B: 0.249 G_B: 0.239 cycle_B: 0.701 idt_B: 0.091
|
352 |
+
(epoch: 49, iters: 348, time: 0.319, data: 0.003) D_A: 0.196 G_A: 0.312 cycle_A: 0.312 idt_A: 0.178 D_B: 0.227 G_B: 0.235 cycle_B: 0.513 idt_B: 0.080
|
353 |
+
(epoch: 49, iters: 448, time: 0.319, data: 0.002) D_A: 0.203 G_A: 0.309 cycle_A: 0.341 idt_A: 0.182 D_B: 0.225 G_B: 0.315 cycle_B: 0.539 idt_B: 0.090
|
354 |
+
(epoch: 49, iters: 548, time: 0.318, data: 0.002) D_A: 0.200 G_A: 0.291 cycle_A: 0.293 idt_A: 0.204 D_B: 0.216 G_B: 0.250 cycle_B: 0.606 idt_B: 0.076
|
355 |
+
(epoch: 49, iters: 648, time: 0.317, data: 0.003) D_A: 0.222 G_A: 0.295 cycle_A: 0.273 idt_A: 0.158 D_B: 0.224 G_B: 0.256 cycle_B: 0.479 idt_B: 0.068
|
356 |
+
(epoch: 50, iters: 24, time: 0.287, data: 0.002) D_A: 0.239 G_A: 0.298 cycle_A: 0.303 idt_A: 0.218 D_B: 0.226 G_B: 0.301 cycle_B: 0.652 idt_B: 0.080
|
357 |
+
(epoch: 50, iters: 124, time: 0.485, data: 0.003) D_A: 0.245 G_A: 0.272 cycle_A: 0.286 idt_A: 0.192 D_B: 0.222 G_B: 0.278 cycle_B: 0.558 idt_B: 0.077
|
358 |
+
(epoch: 50, iters: 224, time: 0.337, data: 0.002) D_A: 0.249 G_A: 0.273 cycle_A: 0.284 idt_A: 0.201 D_B: 0.255 G_B: 0.284 cycle_B: 0.572 idt_B: 0.073
|
359 |
+
(epoch: 50, iters: 324, time: 0.319, data: 0.002) D_A: 0.214 G_A: 0.290 cycle_A: 0.349 idt_A: 0.196 D_B: 0.226 G_B: 0.278 cycle_B: 0.565 idt_B: 0.092
|
360 |
+
(epoch: 50, iters: 424, time: 0.333, data: 0.002) D_A: 0.267 G_A: 0.274 cycle_A: 0.324 idt_A: 0.202 D_B: 0.253 G_B: 0.277 cycle_B: 0.642 idt_B: 0.085
|
361 |
+
(epoch: 50, iters: 524, time: 0.498, data: 0.004) D_A: 0.209 G_A: 0.312 cycle_A: 0.282 idt_A: 0.233 D_B: 0.249 G_B: 0.305 cycle_B: 0.630 idt_B: 0.069
|
362 |
+
(epoch: 50, iters: 624, time: 0.333, data: 0.003) D_A: 0.231 G_A: 0.289 cycle_A: 0.307 idt_A: 0.214 D_B: 0.218 G_B: 0.305 cycle_B: 0.649 idt_B: 0.083
|
363 |
+
(epoch: 50, iters: 724, time: 0.139, data: 0.002) D_A: 0.221 G_A: 0.303 cycle_A: 0.335 idt_A: 0.218 D_B: 0.275 G_B: 0.279 cycle_B: 0.710 idt_B: 0.082
|
test_opt.txt
ADDED
@@ -0,0 +1,42 @@
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1 |
+
----------------- Options ---------------
|
2 |
+
aspect_ratio: 1.0
|
3 |
+
batch_size: 1
|
4 |
+
checkpoints_dir: ./checkpoints
|
5 |
+
crop_size: 256
|
6 |
+
dataroot: ../datasets/hed2image/custom_testB [default: None]
|
7 |
+
dataset_mode: single
|
8 |
+
direction: BtoA [default: AtoB]
|
9 |
+
display_winsize: 256
|
10 |
+
epoch: latest
|
11 |
+
eval: False
|
12 |
+
gpu_ids: 0
|
13 |
+
init_gain: 0.02
|
14 |
+
init_type: normal
|
15 |
+
input_nc: 3
|
16 |
+
isTrain: False [default: None]
|
17 |
+
load_iter: 0 [default: 0]
|
18 |
+
load_size: 256
|
19 |
+
max_dataset_size: inf
|
20 |
+
model: test
|
21 |
+
model_suffix: _B [default: ]
|
22 |
+
n_layers_D: 3
|
23 |
+
name: hed2image [default: experiment_name]
|
24 |
+
ndf: 64
|
25 |
+
netD: basic
|
26 |
+
netG: resnet_9blocks
|
27 |
+
ngf: 64
|
28 |
+
no_dropout: True [default: False]
|
29 |
+
no_flip: False
|
30 |
+
norm: instance
|
31 |
+
num_test: 50
|
32 |
+
num_threads: 4
|
33 |
+
output_nc: 3
|
34 |
+
phase: test
|
35 |
+
preprocess: none [default: resize_and_crop]
|
36 |
+
results_dir: ../results/hed2image_fixed_testB [default: ./results/]
|
37 |
+
serial_batches: False
|
38 |
+
suffix:
|
39 |
+
use_wandb: False
|
40 |
+
verbose: False
|
41 |
+
wandb_project_name: CycleGAN-and-pix2pix
|
42 |
+
----------------- End -------------------
|
train_opt.txt
ADDED
@@ -0,0 +1,62 @@
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1 |
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----------------- Options ---------------
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batch_size: 4 [default: 1]
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beta1: 0.5
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checkpoints_dir: ./checkpoints
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continue_train: False
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crop_size: 256
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dataroot: ../datasets/hed2image [default: None]
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dataset_mode: unaligned
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direction: AtoB
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display_env: main
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display_freq: 400
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display_id: -1 [default: 1]
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display_ncols: 4
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display_port: 8097
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display_server: http://localhost
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display_winsize: 256
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epoch: latest
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epoch_count: 1
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gan_mode: lsgan
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gpu_ids: 0
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init_gain: 0.02
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init_type: normal
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input_nc: 3
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isTrain: True [default: None]
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lambda_A: 10.0
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lambda_B: 10.0
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lambda_identity: 0.5
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load_iter: 0 [default: 0]
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load_size: 286
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lr: 0.0002
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lr_decay_iters: 50
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lr_policy: linear
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max_dataset_size: inf
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model: cycle_gan
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n_epochs: 25 [default: 100]
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36 |
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n_epochs_decay: 25 [default: 100]
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n_layers_D: 3
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name: hed2image [default: experiment_name]
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ndf: 64
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netD: basic
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netG: resnet_9blocks
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ngf: 64
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no_dropout: True
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no_flip: False
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no_html: False
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norm: instance
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num_threads: 4
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output_nc: 3
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phase: train
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pool_size: 50
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preprocess: resize_and_crop
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print_freq: 100
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53 |
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save_by_iter: False
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54 |
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save_epoch_freq: 5
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save_latest_freq: 5000
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56 |
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serial_batches: False
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57 |
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suffix:
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update_html_freq: 1000
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59 |
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use_wandb: False
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verbose: False
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61 |
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wandb_project_name: CycleGAN-and-pix2pix
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----------------- End -------------------
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