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.github/workflows/arm-ci.yml
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ci/official/envs/rbe
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ci/official/envs/linux_x86_cuda
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
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tensorflow/c/eager/c_api_remote_test_util.h
bool heavy_load_on_streaming_rpc, bool remote_func_outputs = false, bool has_packed_input = false);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 1.4K bytes - Viewed (0) -
ci/official/utilities/code_check_changed_files.bats
# ============================================================================== setup_file() { bazel version # Start the bazel server # Fixes "fatal: detected dubious ownership in repository" for Docker. git config --system --add safe.directory '*' git config --system protocol.file.allow always # Note that you could generate a list of all the affected targets with e.g.:
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tensorflow/c/eager/c_api_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); ASSERT_TRUE(absl::StrContains(device_name, "GPU:0")) << device_name; // .backing_device of shape is CPU since the tensor is backed by CPU backing_device_name = TFE_TensorHandleBackingDeviceName(retvals[0], status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/c_api_test.cc
} 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 = TF_NewTensor(TF_FLOAT, nullptr, 0, nullptr, 0, &NoOpDeallocator, nullptr); ASSERT_TRUE(t == nullptr); } TEST(CAPI, AllocateTensor) {
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.github/workflows/sigbuild-docker.yml
- name: Set up Docker Buildx uses: docker/setup-buildx-action@8c0edbc76e98fa90f69d9a2c020dcb50019dc325 # v2.2.1 - name: Login to DockerHub uses: docker/login-action@f4ef78c080cd8ba55a85445d5b36e214a81df20a # v2.1.0 with: username: ${{ secrets.DOCKERHUB_USERNAME }} password: ${{ secrets.DOCKERHUB_TOKEN }}
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ci/official/utilities/cleanup_docker.sh
cat <<EOF IMPORTANT: These tests ran under docker. This script does not clean up the container for you! You can delete the container with: $ docker rm -f tf You can also execute more commands within the container with e.g.: $ docker exec tf bazel clean $ docker exec -it tf bash EOF
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 10 20:26:29 GMT 2023 - 998 bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.bashrc
# Do not print anything if this is not being used interactively [ -z "$PS1" ] && return # Set up attractive prompt export PS1="\[\e[31m\]tf-docker\[\e[m\] \[\e[33m\]\w\[\e[m\] > " export TERM=xterm-256color alias grep="grep --color=auto" alias ls="ls --color=auto" # Fix nvidia-docker
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