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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
@absl_py//absl @bazel_tools//platforms @bazel_tools//third_party/ @bazel_tools//tools @local @com_google_absl//absl @org_tensorflow// @com_github_googlecloudplatform_google_cloud_cpp//google @com_github_grpc_grpc//src/compiler @platforms//os @ruy// EOF # grep patterns for targets which are allowed to be extra licenses cat > $BATS_TEST_TMPDIR/allowed_to_be_extra <<EOF //third_party/mkl //third_party/mkl_dnn @absl_py//
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tensorflow/api_template.__init__.py
if _running_from_pip_package(): # TODO(gunan): Add sanity checks to loaded modules here. # Load first party dynamic kernels. _tf_dir = _os.path.dirname(_current_file_location) _kernel_dir = _os.path.join(_tf_dir, "core", "kernels") if _os.path.exists(_kernel_dir): _ll.load_library(_kernel_dir) # Load third party dynamic kernels. for _s in _site_packages_dirs: _plugin_dir = _os.path.join(_s, "tensorflow-plugins")
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ci/official/utilities/code_check_full.bats
@ruy// @stablehlo//stablehlo/experimental EOF # grep patterns for targets which are allowed to be extra licenses cat > $BATS_TEST_TMPDIR/allowed_to_be_extra <<EOF //third_party/mkl //third_party/mkl_dnn @absl_py// @bazel_tools//src @bazel_tools//platforms @bazel_tools//tools/ @org_tensorflow//tensorflow @com_google_absl// @pybind11_abseil//pybind11_abseil //external @local @com_github_googlecloudplatform_google_cloud_cpp//
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configure.py
if is_windows(): if int(environ_cp.get('TF_NEED_TENSORRT', False)): cuda_libraries.append('tensorrt') print('WARNING: TensorRT support on Windows is experimental\n') paths = glob.glob('**/third_party/gpus/find_cuda_config.py', recursive=True) if not paths: raise FileNotFoundError( "Can't find 'find_cuda_config.py' script inside working directory") proc = subprocess.Popen(
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.bazelrc
# dynamic_kernels: Try to link all kernels dynamically (experimental). # dbg: Build with debug info # # TF version options; # v2: Build TF v2 # # Feature and Third party library support options: # xla: Build TF with XLA # tpu: Build TF with TPU support # cuda: Build with CUDA support. # cuda_clang Build with CUDA Clang support.
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CODEOWNERS
/tensorflow/python/debug @caisq /tensorflow/python/eager @rohan100jain /tensorflow/tools/docs/ @markdaoust /tensorflow/compiler/mlir/ @aminim /tensorflow/core/ir/ @aminim /tensorflow/core/transforms/ @aminim
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tensorflow/api_template_v1.__init__.py
if _running_from_pip_package(): # TODO(gunan): Add sanity checks to loaded modules here. # Load first party dynamic kernels. _tf_dir = _os.path.dirname(_current_file_location) _kernel_dir = _os.path.join(_tf_dir, "core", "kernels") if _os.path.exists(_kernel_dir): _ll.load_library(_kernel_dir) # Load third party dynamic kernels. for _s in _site_packages_dirs: _plugin_dir = _os.path.join(_s, "tensorflow-plugins")
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
tensorflow/BUILD
"//third_party/cloud_tpu/convergence_tools/sdc_monitoring/...", "//third_party/cloud_tpu/inference_converter/...", "//third_party/py/cloud_ml_autoflow/...", "//third_party/py/envlogger/...", "//third_party/py/gldm/...", "//third_party/py/guesslang/...", "//third_party/py/keras/...", "//third_party/py/tf_keras/...",
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RELEASE.md
`_tpu_estimator_embedding.py`. This allows embedding lookup statistics gathered at runtime to be used in embedding layer partitioning decisions. * PluggableDevice * Third-party devices can now connect to TensorFlow as plug-ins through [StreamExecutor C API](https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api.md). and
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