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tensorflow/c/c_api_function.cc
for (const Node* n : fn_body->graph.nodes()) { stack_traces[n->name()] = n->GetStackTrace(); } TF_Function* tf_function = new TF_Function(); tf_function->record = new tensorflow::FunctionRecord( std::move(fdef), std::move(stack_traces), false); return tf_function; } TF_Function* TF_GraphToFunction(const TF_Graph* fn_body, const char* fn_name,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2) -
tensorflow/c/eager/c_api_distributed_test.cc
// once (i.e., on the main function side) in running distributed functions. // This test creates a cluster with two workers, create a variable on the // second worker, and run a distributed function (VariableAddFunction) whose ops // span the local and remote workers. If the graph optimization pass is executed // on both the main function side and the component function side, an error will
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
} char* TF_FunctionDebugString(TF_Function* func, size_t* len) { const auto& debug_str = DebugString(func->record->fdef()); *len = debug_str.size(); char* ret = static_cast<char*>(malloc(*len + 1)); memcpy(ret, debug_str.c_str(), *len + 1); return ret; } // On success, returns a set of TF_Function instances from `text_proto` of // GraphDef type. These functions must be deleted by calling TF_DeleteFunction. //
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_test.cc
TF_Operation* operations[]{placeholder_op, reduce_op}; TF_Output y{reduce_op, 0}; const char* output_name = "y"; std::unique_ptr<TF_Function, decltype(&TF_DeleteFunction)> function( TF_GraphToFunction( /* fn_body */ body.get(), /* fn_name */ function_name, /* append_hash_to_fn_name */ 0, /* num_opers */ 2, /* opers */ operations, /* ninputs */ 1, /* inputs */ &x,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 29.3K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device.cc
handle_methods, status)); } // For TFE_CustomDevice::copy_tensor_to_device in the parallel device // registration. // // Since this function is used to satisfy the TFE_CustomDevice C API, // device_info is passed in using a C-style generic. It must always be a // ParallelDevice. TFE_TensorHandle* CopyToParallelDevice(TFE_Context* context,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_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: Thu Apr 13 17:32:14 GMT 2023 - 16.3K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler_test.cc
#include "tensorflow/c/c_api_internal.h" #include "tensorflow/c/experimental/grappler/grappler_internal.h" #include "tensorflow/c/tf_buffer_internal.h" #include "tensorflow/core/framework/function.h" #include "tensorflow/core/grappler/clusters/single_machine.h" #include "tensorflow/core/grappler/costs/graph_properties.h" #include "tensorflow/core/grappler/grappler_item.h"
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Thu Apr 13 22:30:58 GMT 2023 - 11.6K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); // Create a variable handle (uninitialized to start) placed on the parallel // device. std::function<void(Variable*)> variable_deleter = [&](Variable* to_delete) { to_delete->Destroy(context, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); delete to_delete; };
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jun 15 15:44:44 GMT 2021 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib_test.cc
#include "tensorflow/c/eager/parallel_device/parallel_device_testlib.h" #include "tensorflow/c/eager/tfe_context_internal.h" #include "tensorflow/core/common_runtime/eager/context.h" #include "tensorflow/core/framework/function.h" #include "tensorflow/core/lib/core/status_test_util.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace parallel_device { using ::testing::ElementsAre; using ::testing::HasSubstr;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_test.cc
TF_DeleteAbstractTensor(add_output2); TF_DeleteOutputList(func_outputs); } /** * We traced so far this function: * * def two_adds(a, b): * my_add1 = a + b * my_add2 = b + b * return my_add1, my_add2 * * Now we will execute this function with an eager context: * * output1, output2 = two_adds(2.0, 3.0) *
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 19 21:44:52 GMT 2023 - 39.1K bytes - Viewed (0)