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•
8cd2626
1
Parent(s):
fd46e37
ipex
Browse files- README.md +1 -1
- app.py +22 -19
- requirements.txt +1 -1
README.md
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@@ -1,5 +1,5 @@
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---
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title:
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emoji: 🏋️
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colorFrom: purple
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colorTo: indigo
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---
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title: Auto Benchmark
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emoji: 🏋️
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colorFrom: purple
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colorTo: indigo
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app.py
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@@ -10,18 +10,17 @@ from config_store import (
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get_inference_config,
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get_openvino_config,
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get_pytorch_config,
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-
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)
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from optimum_benchmark.launchers.base import Launcher # noqa
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from optimum_benchmark.backends.openvino.utils import TASKS_TO_OVMODEL
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from optimum_benchmark.backends.transformers_utils import TASKS_TO_MODEL_LOADERS
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# from optimum_benchmark.backends.ipex.utils import TASKS_TO_IPEXMODEL
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from optimum_benchmark import (
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BenchmarkConfig,
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PyTorchConfig,
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OVConfig,
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ProcessConfig,
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InferenceConfig,
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Benchmark,
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@@ -39,7 +38,7 @@ MODELS = [
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]
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TASKS = (
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set(TASKS_TO_OVMODEL.keys())
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-
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& set(TASKS_TO_MODEL_LOADERS.keys())
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)
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@@ -62,7 +61,7 @@ def run_benchmark(kwargs, oauth_token: gr.OAuthToken):
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"inference": {},
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"openvino": {},
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"pytorch": {},
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}
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for key, value in kwargs.items():
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device=DEVICE,
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**configs["pytorch"],
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)
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outputs = {
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"openvino": "Running benchmark for OpenVINO backend",
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"pytorch": "Running benchmark for PyTorch backend",
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}
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yield tuple(outputs[b] for b in BACKENDS)
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"</a>"
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"<br>"
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"</h3>"
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)
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model = gr.Dropdown(
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openvino_config = get_openvino_config()
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with gr.Accordion(label="PyTorch Config", open=False, visible=True):
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pytorch_config = get_pytorch_config()
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backends.change(
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inputs=backends,
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openvino_output = gr.Markdown()
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with gr.Accordion(label="PyTorch Output", open=True, visible=True):
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pytorch_output = gr.Markdown()
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backends.change(
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inputs=backends,
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*inference_config.values(),
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*openvino_config.values(),
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*pytorch_config.values(),
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},
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outputs={
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openvino_output,
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pytorch_output,
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},
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concurrency_limit=1,
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)
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get_inference_config,
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get_openvino_config,
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get_pytorch_config,
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get_ipex_config,
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)
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from optimum_benchmark.launchers.base import Launcher # noqa
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from optimum_benchmark.backends.openvino.utils import TASKS_TO_OVMODEL
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from optimum_benchmark.backends.transformers_utils import TASKS_TO_MODEL_LOADERS
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from optimum_benchmark.backends.ipex.utils import TASKS_TO_IPEXMODEL
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from optimum_benchmark import (
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BenchmarkConfig,
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PyTorchConfig,
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OVConfig,
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IPEXConfig,
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ProcessConfig,
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InferenceConfig,
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Benchmark,
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]
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TASKS = (
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set(TASKS_TO_OVMODEL.keys())
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& set(TASKS_TO_IPEXMODEL.keys())
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& set(TASKS_TO_MODEL_LOADERS.keys())
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)
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"inference": {},
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"openvino": {},
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"pytorch": {},
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"ipex": {},
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}
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for key, value in kwargs.items():
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device=DEVICE,
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**configs["pytorch"],
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)
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configs["ipex"] = IPEXConfig(
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task=task,
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model=model,
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device=DEVICE,
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**configs["ipex"],
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)
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outputs = {
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"openvino": "Running benchmark for OpenVINO backend",
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"pytorch": "Running benchmark for PyTorch backend",
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"ipex": "Running benchmark for IPEX backend",
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}
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yield tuple(outputs[b] for b in BACKENDS)
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"</a>"
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"<br>"
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"</h3>"
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"<p style='text-align: center'>"
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"This Space uses Optimum Benchmark to automatically benchmark a model from the Hub on different backends."
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"<br>"
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"The results (config and report) will be pushed under your namespace in a benchmark repository on the Hub."
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)
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model = gr.Dropdown(
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openvino_config = get_openvino_config()
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with gr.Accordion(label="PyTorch Config", open=False, visible=True):
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pytorch_config = get_pytorch_config()
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with gr.Accordion(label="IPEX Config", open=False, visible=True):
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ipex_config = get_ipex_config()
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backends.change(
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inputs=backends,
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openvino_output = gr.Markdown()
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with gr.Accordion(label="PyTorch Output", open=True, visible=True):
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pytorch_output = gr.Markdown()
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with gr.Accordion(label="IPEX Output", open=True, visible=True):
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ipex_output = gr.Markdown()
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backends.change(
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inputs=backends,
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*inference_config.values(),
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*openvino_config.values(),
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*pytorch_config.values(),
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*ipex_config.values(),
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},
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outputs={
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openvino_output,
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pytorch_output,
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+
ipex_output,
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},
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concurrency_limit=1,
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)
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requirements.txt
CHANGED
@@ -1 +1 @@
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optimum-benchmark[openvino]@git+https://github.com/huggingface/optimum-benchmark.git@markdown-report
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optimum-benchmark[openvino,ipex]@git+https://github.com/huggingface/optimum-benchmark.git@markdown-report
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