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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 {
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
#include <algorithm> #include <cstddef> #include <iterator> #include <memory> #include <vector> #include "tensorflow/c/c_api_internal.h" #include "tensorflow/c/c_test_util.h" #include "tensorflow/c/tf_buffer.h" #include "tensorflow/c/tf_buffer_internal.h" #include "tensorflow/c/tf_status.h" #include "tensorflow/c/tf_tensor.h" #include "tensorflow/cc/saved_model/signature_constants.h"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
RELEASE.md
* Added `tf.keras.__internal__.KerasTensor`,`tf.keras.__internal__.SparseKerasTensor`, and `tf.keras.__internal__.RaggedKerasTensor` classes. You can use these classes to do instance type checking and type annotations for layer/model inputs and outputs.
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