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4daeefd
1
Parent(s):
3aef4fb
refactor installs
Browse files- app.py +20 -11
- requirements.txt +1 -3
app.py
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@@ -1,4 +1,21 @@
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import
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import random
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import gradio as gr
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from optimum_benchmark.task_utils import (
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@@ -15,13 +32,6 @@ from config_store import (
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get_pytorch_config,
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)
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cuda_available = torch.cuda.is_available()
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BACKENDS = ["pytorch", "onnxruntime", "openvino", "neural-compressor"]
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DEVICES = ["cpu", "cuda"] if cuda_available else ["cpu"]
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BENCHMARKS = ["inference", "training"]
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with gr.Blocks() as demo:
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# add image
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gr.Markdown(
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@@ -33,11 +43,10 @@ with gr.Blocks() as demo:
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# explanation text
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gr.HTML(
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"<h3 style='text-align: center'>"
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"
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"</h3>"
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"<p style='text-align: center'>"
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"
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"Optimum's arsenal of optimizations & quantization schemes, for both inference & training, on multiple backends & hardware."
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"</p>"
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)
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import os
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nvidia_available = os.system("nvidia-smi") == 0
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if nvidia_available:
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os.system(
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"pip install optimum-benchmark[onnxruntime-gpu,openvino,neural-compressor,diffusers,peft]@git+https://github.com/huggingface/optimum-benchmark.git"
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)
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DEVICES = ["cpu", "cuda"]
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else:
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os.system(
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"pip install optimum-benchmark[onnxruntime,openvino,neural-compressor,diffusers,peft]@git+https://github.com/huggingface/optimum-benchmark.git"
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)
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DEVICES = ["cpu"]
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BACKENDS = ["pytorch", "onnxruntime", "openvino", "neural-compressor"]
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BENCHMARKS = ["inference", "training"]
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import random
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import gradio as gr
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from optimum_benchmark.task_utils import (
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get_pytorch_config,
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)
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with gr.Blocks() as demo:
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# add image
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gr.Markdown(
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# explanation text
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gr.HTML(
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"<h3 style='text-align: center'>"
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"Zero code Gradio interface of <a href='https://github.com/huggingface/optimum-benchmark.git'>Optimum-Benchmark</a><br>"
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"</h3>"
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"<p style='text-align: center'>"
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"Unlock "
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"</p>"
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)
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requirements.txt
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ansi2html==1.8.0
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optimum-benchmark[onnxruntime,openvino,neural-compressor,diffusers,peft]@git+https://github.com/huggingface/optimum-benchmark.git
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ansi2html==1.8.0
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