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* clean up branch for add-qdqbert-model * README update for QAT example; update docstrings in modeling_qdqbert.py * Update qdqbert.rst * Update README.md * Update README.md * calibration data using traning set; QAT example runs in fp32 * re-use BERTtokenizer for qdqbert * Update docs/source/model_doc/qdqbert.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/qdqbert.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/qdqbert.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * remove qdqbert tokenizer * Update qdqbert.rst * update evaluate-hf-trt-qa.py * update configuration_qdqbert.py * update modeling_qdqbert.py: add copied statement; replace assert with ValueError * update copied from statement * add is_quantization_available; run make fix-copies * unittest add require_quantization * add backend dependency to qdqbert model * update README; update evaluate script; make style * lint * docs qdqbert update * circleci build_doc add pytorch-quantization for qdqbert * update README * update example readme with instructions to upgrade TensorRT to 8.2 * Update src/transformers/models/qdqbert/configuration_qdqbert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/qdqbert/configuration_qdqbert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/qdqbert/configuration_qdqbert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/qdqbert/configuration_qdqbert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * change quantization to pytorch_quantization for backend requirement * feed_forward_chunking not supported in QDQBert * make style * update model docstrings and comments in testing scripts * rename example to quantization-qdqbert; rename example scripts from qat to quant * Update src/transformers/models/qdqbert/modeling_qdqbert.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * rm experimental functions in quant_trainer * qa cleanup * make fix-copies for docs index.rst * fix doctree; use post_init() for qdqbert * fix early device assignment for qdqbert * fix CI:Model templates runner Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
37 lines
1.2 KiB
Docker
37 lines
1.2 KiB
Docker
# coding=utf-8
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# Copyright 2021 NVIDIA Corporation. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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FROM nvcr.io/nvidia/pytorch:21.07-py3
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LABEL maintainer="Hugging Face"
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LABEL repository="transformers"
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RUN apt-get update
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RUN apt-get install sudo
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RUN python3 -m pip install --no-cache-dir --upgrade pip
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RUN python3 -m pip install --no-cache-dir --ignore-installed ruamel.yaml \
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mkl \
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absl-py \
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yamlpy \
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tensorboardX
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RUN python3 -m pip install --no-cache-dir \
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pytorch-quantization --extra-index-url https://pypi.ngc.nvidia.com
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WORKDIR /workspace
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COPY . transformers/
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RUN cd transformers/ && \
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python3 -m pip install --no-cache-dir .
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RUN python3 -m pip install --no-cache-dir datasets \
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accelerate |