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ci/official/wheel_test/README.md
and a requirements_lock file. The requirements_lock file is generated by the [requirements_updater](https://github.com/tensorflow/tensorflow/tree/master/ci/official/requirements_updater) tool using the path to this wheel file. ### Hermetic Python For details about hermetic Python and setting its toolchain version, see [requirements updater readme](https://github.com/tensorflow/tensorflow/blob/master/ci/official/requirements_updater/README.md)
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# > target platform. # See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation build --distinct_host_configuration=false # Store performance profiling log in the mounted artifact directory. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling
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ci/official/utilities/generate_index_html.sh
<h2>Googlers-Only Links</h2> <ul> <li><a href="http://sponge2/$KOKORO_BUILD_ID">Sponge2</a></li> <li><a href="http://sponge/target:$KOKORO_JOB_NAME">Sponge - recent jobs</a></li> <li><a href="http://fusion2/ci/kokoro/prod:$(echo "$KOKORO_JOB_NAME" | sed 's!/!%2F!g')">Test Fusion - recent jobs</a></li> <li><a href="http://cs/f:devtools/kokoro/config/prod/$KOKORO_JOB_NAME">Codesearch - job definition</a></li>
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tensorflow/c/c_api_test.cc
TF_DeleteTensor(t); EXPECT_TRUE(deallocator_called); } void NoOpDeallocator(void* data, size_t, void*) {} TEST(CAPI, MalformedTensor) { // See https://github.com/tensorflow/tensorflow/issues/7394 // num_dims = 0 implies a scalar, so should be backed by at least 4 bytes of // data. TF_Tensor* t =
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ci/official/requirements_updater/WORKSPACE
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") http_archive( name = "bazel_skylib", sha256 = "74d544d96f4a5bb630d465ca8bbcfe231e3594e5aae57e1edbf17a6eb3ca2506", urls = [ "https://storage.googleapis.com/mirror.tensorflow.org/github.com/bazelbuild/bazel-skylib/releases/download/1.3.0/bazel-skylib-1.3.0.tar.gz",
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tensorflow/api_template.__init__.py
""" # pylint: disable=g-bad-import-order,protected-access,g-import-not-at-top import distutils as _distutils import importlib import inspect as _inspect import os as _os import site as _site import sys as _sys # Do not remove this line; See https://github.com/tensorflow/tensorflow/issues/42596
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
EOF cat $BATS_TEST_TMPDIR/out [[ ! -s $BATS_TEST_TMPDIR/out ]] } @test "All tensorflow.org/code links point to real files" { for i in $(grep -onI 'https://www.tensorflow.org/code/[a-zA-Z0-9/._-]\+' -r tensorflow); do target=$(echo $i | sed 's!.*https://www.tensorflow.org/code/!!g') if [[ ! -f $target ]] && [[ ! -d $target ]]; then echo "$i" >> errors.txt fi
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ci/official/containers/linux_arm64/Dockerfile
# - buildifier: clean bazel build deps # - buildozer: clean bazel build deps RUN git clone --branch v1.7.0 https://github.com/bats-core/bats-core.git && bats-core/install.sh /usr/local && rm -rf bats-core RUN wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://github.com/bazelbuild/bazelisk/releases/download/v1.12.0/bazelisk-linux-arm64 -O /usr/local/bin/bazel && chmod +x /usr/local/bin/bazel
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# > the core TensorFlow code will be built once for the host and once for the # > target platform. # See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation build --distinct_host_configuration=false # Disable clang extension that rejects type definitions within offsetof. # This was added in clang-16 by https://reviews.llvm.org/D133574. # Can be removed once upb is updated, since a type definition is used within
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ci/official/containers/linux_arm64/cuda.packages.txt
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation libcudnn8=8.9.6.50-1+cuda12.2 libcudnn8-dev=8.9.6.50-1+cuda12.2 # This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image. # For now it ensures that we install at least version 12.3.107 of PTXAS, # since 12.3.103 has a bug.
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