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Revert "TF: unpin maximum TF version (#18917)" (#18972)

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This reverts commit d8cf3b2087.
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Sylvain Gugger 2022-09-10 09:11:46 -04:00 committed by GitHub
parent d8cf3b2087
commit a26114777e
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7 changed files with 11 additions and 11 deletions
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2
docker/transformers-all-latest-gpu/Dockerfile
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@ -32,7 +32,7 @@ RUN echo torch=$VERSION
# TODO: We might need to specify proper versions that work with a specific torch version (especially for past CI). # TODO: We might need to specify proper versions that work with a specific torch version (especially for past CI).
RUN [ "$PYTORCH" != "pre" ] && python3 -m pip install --no-cache-dir -U $VERSION torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/$CUDA || python3 -m pip install --no-cache-dir -U --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/$CUDA RUN [ "$PYTORCH" != "pre" ] && python3 -m pip install --no-cache-dir -U $VERSION torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/$CUDA || python3 -m pip install --no-cache-dir -U --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/$CUDA
RUN python3 -m pip install --no-cache-dir -U tensorflow RUN python3 -m pip install --no-cache-dir -U tensorflow==2.9.1
RUN python3 -m pip uninstall -y flax jax RUN python3 -m pip uninstall -y flax jax
# Use installed torch version for `torch-scatter` to avid to deal with PYTORCH='pre'. # Use installed torch version for `torch-scatter` to avid to deal with PYTORCH='pre'.

2
docker/transformers-cpu/Dockerfile
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@ -15,7 +15,7 @@ RUN apt update && \
RUN python3 -m pip install --no-cache-dir --upgrade pip && \ RUN python3 -m pip install --no-cache-dir --upgrade pip && \
python3 -m pip install --no-cache-dir \ python3 -m pip install --no-cache-dir \
jupyter \ jupyter \
tensorflow-cpu \ tensorflow-cpu==2.9.1 \
torch torch
WORKDIR /workspace WORKDIR /workspace

2
docker/transformers-gpu/Dockerfile
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@ -15,7 +15,7 @@ RUN apt update && \
RUN python3 -m pip install --no-cache-dir --upgrade pip && \ RUN python3 -m pip install --no-cache-dir --upgrade pip && \
python3 -m pip install --no-cache-dir \ python3 -m pip install --no-cache-dir \
jupyter \ jupyter \
tensorflow \ tensorflow==2.9.1 \
torch torch
RUN git clone https://github.com/NVIDIA/apex RUN git clone https://github.com/NVIDIA/apex

2
docker/transformers-tensorflow-cpu/Dockerfile
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@ -15,7 +15,7 @@ RUN apt update && \
RUN python3 -m pip install --no-cache-dir --upgrade pip && \ RUN python3 -m pip install --no-cache-dir --upgrade pip && \
python3 -m pip install --no-cache-dir \ python3 -m pip install --no-cache-dir \
mkl \ mkl \
tensorflow-cpu tensorflow-cpu==2.9.1
WORKDIR /workspace WORKDIR /workspace
COPY . transformers/ COPY . transformers/

2
docker/transformers-tensorflow-gpu/Dockerfile
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@ -12,7 +12,7 @@ RUN git clone https://github.com/huggingface/transformers && cd transformers &&
RUN python3 -m pip install --no-cache-dir -e ./transformers[dev-tensorflow,testing] RUN python3 -m pip install --no-cache-dir -e ./transformers[dev-tensorflow,testing]
# If set to nothing, will install the latest version # If set to nothing, will install the latest version
ARG TENSORFLOW='' ARG TENSORFLOW='2.9.1'
RUN [ ${#TENSORFLOW} -gt 0 ] && VERSION='tensorflow=='$TENSORFLOW'.*' || VERSION='tensorflow'; python3 -m pip install --no-cache-dir -U $VERSION RUN [ ${#TENSORFLOW} -gt 0 ] && VERSION='tensorflow=='$TENSORFLOW'.*' || VERSION='tensorflow'; python3 -m pip install --no-cache-dir -U $VERSION
RUN python3 -m pip uninstall -y torch flax RUN python3 -m pip uninstall -y torch flax

4
setup.py
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@ -154,8 +154,8 @@ _deps = [
"sigopt", "sigopt",
"librosa", "librosa",
"starlette", "starlette",
"tensorflow-cpu>=2.3", "tensorflow-cpu>=2.3,<2.10",
"tensorflow>=2.3", "tensorflow>=2.3,<2.10",
"tensorflow-text", "tensorflow-text",
"tf2onnx", "tf2onnx",
"timeout-decorator", "timeout-decorator",

4
src/transformers/dependency_versions_table.py
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@ -60,8 +60,8 @@ deps = {
"sigopt": "sigopt", "sigopt": "sigopt",
"librosa": "librosa", "librosa": "librosa",
"starlette": "starlette", "starlette": "starlette",
"tensorflow-cpu": "tensorflow-cpu>=2.3", "tensorflow-cpu": "tensorflow-cpu>=2.3,<2.10",
"tensorflow": "tensorflow>=2.3", "tensorflow": "tensorflow>=2.3,<2.10",
"tensorflow-text": "tensorflow-text", "tensorflow-text": "tensorflow-text",
"tf2onnx": "tf2onnx", "tf2onnx": "tf2onnx",
"timeout-decorator": "timeout-decorator", "timeout-decorator": "timeout-decorator",