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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
} @test "Pip package generated license includes all dependencies' licenses" { do_external_licenses_check \ "//tensorflow/tools/pip_package:build_pip_package" \ "//tensorflow/tools/pip_package:licenses" } @test "Libtensorflow generated license includes all dependencies' licenses" { do_external_licenses_check \ "//tensorflow:libtensorflow.so" \ "//tensorflow/tools/lib_package:clicenses_generate"
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tensorflow/BUILD
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ci/official/utilities/code_check_full.bats
} @test "Pip package generated license includes all dependencies' licenses" { do_external_licenses_check \ "//tensorflow/tools/pip_package:wheel" \ "//tensorflow/tools/pip_package:licenses" } @test "Libtensorflow generated license includes all dependencies' licenses" { do_external_licenses_check \ "//tensorflow:libtensorflow.so" \ "//tensorflow/tools/lib_package:clicenses_generate" }
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tensorflow/api_template.__init__.py
_current_module = _sys.modules[__name__] if not hasattr(_current_module, "__path__"): __path__ = [_tf_api_dir] elif _tf_api_dir not in __path__: __path__.append(_tf_api_dir) # Hook external TensorFlow modules. # Load tensorflow-io-gcs-filesystem if enabled if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
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) -
tensorflow/api_template_v1.__init__.py
_current_module.layers = _KerasLazyLoader( globals(), submodule="__internal__.legacy.layers", name="layers", mode="v1") if _tf_uses_legacy_keras: _module_dir = _module_util.get_parent_dir_for_name( "tf_keras.api._v1.keras.__internal__.legacy.layers") else: _module_dir = _module_util.get_parent_dir_for_name( "keras.api._v1.keras.__internal__.legacy.layers")
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/c/eager/parallel_device/BUILD
"//tensorflow/c:tf_status_internal", "//tensorflow/c/eager:c_api", "//tensorflow/c/eager:c_api_experimental", "//tensorflow/c/eager:tfe_cancellation_manager_internal", "//tensorflow/c/eager:tfe_op_internal", "//tensorflow/c/eager:tfe_tensorhandle_internal", "//tensorflow/core:framework", "//tensorflow/core:lib", "@com_google_absl//absl/types:optional",
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ci/official/utilities/code_check_changed_files.bats
} # Note: this is excluded on the full code base, since any submitted code must # have passed Google's internal style guidelines. @test "Check formatting for C++ files" { skip "clang-format doesn't match internal clang-format checker" echo "clang-format is recommended. Here are the suggested changes:" echo "============================="
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tensorflow/c/experimental/gradients/nn_grad_test.cc
#include "tensorflow/c/tf_status_helper.h" #include "tensorflow/core/platform/tensor_float_32_utils.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace gradients { namespace internal { namespace { using tensorflow::TF_StatusPtr; Status ReluModel(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) {
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.h
#include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/eager/c_api_test_util.h" #include "tensorflow/c/eager/c_api_unified_experimental.h" #include "tensorflow/c/eager/c_api_unified_experimental_internal.h" #include "tensorflow/c/tf_status_helper.h" #include "tensorflow/c/tf_tensor.h" #include "tensorflow/core/platform/status.h" namespace tensorflow {
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false, # > the core TensorFlow code will be built once for the host and once for the
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