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tensorflow/c/eager/tape.h
// (`output_tensors`). // // If provided, a non-null `forward_function` will be used instead of the // backward function (`backward_function_getter` / // `backward_function_deleter`) to compute jvps for this operation. If // `forward_function` is null, a GradientTape is used on the backward function // to compute the jvp, which will waste computation when executing eagerly. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/eager/unified_api_testutil.cc
} // Runs `model` maybe wrapped in a function. Status RunModel(Model model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs, bool use_function) { if (use_function) { const char* fn_name = "test_fn"; core::RefCountPtr<AbstractFunction> scoped_func; // Returning null tensors from a tf.function is not supported, so we keep
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.cc
TF_Buffer* buf, TF_Status* status) { auto* function_def = tensorflow::unwrap(ctx)->FindFunctionDef(function_name); if (function_def == nullptr) { status->status = tensorflow::errors::NotFound( "Unable to find FunctionDef with name: ", function_name); return; } string str = function_def->SerializeAsString();
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
tensorflow/c/eager/BUILD
"@com_google_absl//absl/strings", ], ) cc_library( name = "graph_function", srcs = ["graph_function.cc"], hdrs = [ "graph_function.h", ], visibility = [ "//tensorflow:internal", ], deps = [ ":abstract_function", "//tensorflow/core:framework", "//tensorflow/core/platform:refcount",
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tensorflow/c/eager/c_api_experimental.h
const char* function_name, TF_Buffer* buf, TF_Status* status); // Get GraphDebugInfo containing stack traces mapping to node names TF_CAPI_EXPORT extern void TFE_ContextGetGraphDebugInfo( TFE_Context* ctx, const char* function_name, TF_Buffer* buf, TF_Status* status);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_test.cc
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tensorflow/c/experimental/gradients/array_grad_test.cc
/*tfrt*/ ::testing::Values(false), /*use_function*/ ::testing::Values(true, false))); #else INSTANTIATE_TEST_SUITE_P( UnifiedCAPI, CppGradients, ::testing::Combine(::testing::Values("graphdef", "mlir"), /*tfrt*/ ::testing::Values(false), /*use_function*/ ::testing::Values(true, false))); #endif } // namespace } // namespace internal
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/api_template.__init__.py
""" Top-level module of TensorFlow. By convention, we refer to this module as `tf` instead of `tensorflow`, following the common practice of importing TensorFlow via the command `import tensorflow as tf`. The primary function of this module is to import all of the public TensorFlow interfaces into a single place. The interfaces themselves are located in sub-modules, as described below.
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/c/eager/c_api_unified_experimental.cc
using tensorflow::tracing::TracingTensorHandle; void TF_SetTracingImplementation(const char* name, TF_Status* s) { tsl::Set_TF_Status_from_Status(s, SetDefaultTracingEngine(name)); } // Creates a new TensorFlow function, it is an execution context attached to a // given tracing context. TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* s) { return wrap(CreateTracingExecutionContext(fn_name, s)); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
RELEASE.md
closed over by local functions. Previously, such variables were sometimes incorrectly ignored. * functions returned by the `get_concrete_function` method of `tf.function` objects can now be called with arguments consistent with the original arguments or type specs passed to `get_concrete_function`. This calling convention is now the preferred way to use concrete
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