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tensorflow/c/eager/c_api_test.cc
// .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()); ASSERT_TRUE(absl::StrContains(backing_device_name, "CPU:0")) << backing_device_name; TFE_DeleteOp(shape_op);
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CONTRIBUTING.md
you want to debug a kernel, you can compile specific files with `-g` using the `--per_file_copt` bazel option. For example, if you want to debug the Identity op, which are in files starting with `identity_op`, you can run ```bash bazel build --config=dbg --per_file_copt=+tensorflow/core/kernels/identity_op.*@-g //tensorflow/tools/pip_package:build_pip_package ```
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RELEASE.md
functions. ## Deprecations * TensorFlow 1.7 may be the last time we support Cuda versions below 8.0. Starting with TensorFlow 1.8 release, 8.0 will be the minimum supported version. * TensorFlow 1.7 may be the last time we support cuDNN versions below 6.0. Starting with TensorFlow 1.8 release, 6.0 will be the minimum supported version. ## Thanks to our Contributors
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configure.py
write_action_env_to_bazelrc('HIP_PLATFORM', environ_cp.get('HIP_PLATFORM')) if is_windows(): print('\nWARNING: Cannot build with CUDA support on Windows.\n' 'Starting in TF 2.11, CUDA build is not supported for Windows. ' 'For using TensorFlow GPU on Windows, you will need to build/install ' 'TensorFlow in WSL2.\n') environ_cp['TF_NEED_CUDA'] = '0' else:
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ci/official/envs/nightly_upload
TFCI_ARTIFACT_FINAL_PYPI_ENABLE=1 TFCI_ARTIFACT_LATEST_GCS_URI="gs://tensorflow/nightly/latest/" TFCI_ARTIFACT_STAGING_GCS_ENABLE=1 TFCI_ARTIFACT_STAGING_GCS_URI="gs://tensorflow-ci-artifact-staging/staging/nightly/$(git rev-parse HEAD)/" # 2. The internal version numbers get changed TFCI_NIGHTLY_UPDATE_VERSION_ENABLE=1
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ci/official/envs/no_upload
TFCI_ARTIFACT_FINAL_GCS_ENABLE= TFCI_ARTIFACT_FINAL_GCS_SA_PATH= TFCI_ARTIFACT_FINAL_GCS_URI= TFCI_ARTIFACT_FINAL_PYPI_ARGS= TFCI_ARTIFACT_FINAL_PYPI_ENABLE= TFCI_ARTIFACT_LATEST_GCS_URI= TFCI_ARTIFACT_STAGING_GCS_ENABLE= TFCI_ARTIFACT_STAGING_GCS_URI=
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ci/official/envs/ci_default
TFCI_ARTIFACT_FINAL_GCS_ENABLE= TFCI_ARTIFACT_FINAL_GCS_SA_PATH= TFCI_ARTIFACT_FINAL_GCS_URI= TFCI_ARTIFACT_FINAL_PYPI_ARGS= TFCI_ARTIFACT_FINAL_PYPI_ENABLE= TFCI_ARTIFACT_LATEST_GCS_URI= TFCI_ARTIFACT_STAGING_GCS_ENABLE= TFCI_ARTIFACT_STAGING_GCS_URI= TFCI_BAZEL_BAZELRC_ARGS= TFCI_BAZEL_COMMON_ARGS= TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX= TFCI_BUILD_PIP_PACKAGE_ARGS= TFCI_DOCKER_ARGS= TFCI_DOCKER_ENABLE= TFCI_DOCKER_IMAGE=
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ci/official/upload.sh
# "gsutil rsync -d" is "sync and delete files from destination if not present in source" DOWNLOADS="$(mktemp -d)" mkdir -p "$DOWNLOADS" gsutil -m rsync -r "$TFCI_ARTIFACT_STAGING_GCS_URI" "$DOWNLOADS" ls "$DOWNLOADS" # Upload all build artifacts to e.g. gs://tensorflow/versions/2.16.0-rc1 (releases) or # gs://tensorflow/nightly/2.16.0-dev20240105 (nightly), overwriting previous values.
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README.md
[code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code.** **We use [GitHub issues](https://github.com/tensorflow/tensorflow/issues) for tracking requests and bugs, please see [TensorFlow Forum](https://discuss.tensorflow.org/) for general questions and discussion, and please direct specific questions to
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tensorflow/c/c_api.h
// `cond_output`, `body_outputs`, and `name`. The `body_outputs` buffer will be // allocated to size `ninputs`. The caller should build `cond_graph` and // `body_graph` starting from the inputs, and store the final outputs in // `cond_output` and `body_outputs`. // // If `status` is OK, the caller must call either TF_FinishWhile or
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