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tensorflow/c/c_api_function.cc
"Encountered while processing input ", i, " into function '", fn_name, "'"); TF_RETURN_WITH_CONTEXT_IF_ERROR(ValidateNonRefOutput(node, idx), "Encountered while processing input ", i, " into function '", fn_name, "'"); input_tensors->emplace_back(node, idx); const auto& iter = input_nodes->find(node); if (iter == input_nodes->end()) {
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_unified_experimental_test.cc
// Build an abstract input tensor. TFE_Context* eager_ctx = TF_ExecutionContextGetTFEContext(eager_execution_ctx, status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); TFE_TensorHandle* input_eager = TestScalarTensorHandle(eager_ctx, 2.0f); TF_AbstractTensor* input_t = TF_CreateAbstractTensorFromEagerTensor(input_eager, status.get());
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) -
tensorflow/c/experimental/gradients/tape/tape_operation.cc
} Status TapeOperation::AddInput(AbstractTensorHandle* input) { TF_RETURN_IF_ERROR(parent_op_->AddInput(input)); forward_op_.inputs.push_back(input); return OkStatus(); } Status TapeOperation::AddInputList( absl::Span<AbstractTensorHandle* const> inputs) { TF_RETURN_IF_ERROR(parent_op_->AddInputList(inputs)); for (auto input : inputs) { forward_op_.inputs.push_back(input); } return OkStatus(); }
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jun 07 01:53:35 GMT 2022 - 9K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device.cc
implicitly_broadcast_tensors.reserve(inputs.size()); // not tight for (const auto& input : inputs) { if (absl::holds_alternative<TFE_TensorHandle*>(input)) { if (operation_name == std::string("_EagerConst")) { // Non-parallel tensors from _EagerConst/tf.constant are implicitly // broadcast, i.e. set as the input to each parallel operation. This
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/c_api_test.cc
input.flat<tstring>()(i) = example.SerializeAsString(); } const tensorflow::string input_op_name( tensorflow::ParseTensorName(input_name).first); TF_Operation* input_op = TF_GraphOperationByName(graph, input_op_name.c_str()); ASSERT_TRUE(input_op != nullptr); Status status; csession.SetInputs({{input_op, TF_TensorFromTensor(input, &status)}});
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) -
tensorflow/c/eager/c_api_test.cc
CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); for (int input_index = 0; input_index < num_inputs; ++input_index) { TFE_TensorHandle* input = TFE_OpGetFlatInput(other, input_index, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(ret, input, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); } TF_DeleteStatus(status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/eager/custom_device_testutil.cc
TFE_TensorHandle* input = TFE_OpGetFlatInput(original_op, j, s); if (TF_GetCode(s) != TF_OK) return; const char* input_device = TFE_TensorHandleDeviceName(input, s); if (TF_GetCode(s) != TF_OK) return; if (dev->device_name == input_device) { LoggedTensor* t = reinterpret_cast<LoggedTensor*>( TFE_TensorHandleDevicePointer(input, s)); if (TF_GetCode(s) != TF_OK) return;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 03 20:47:31 GMT 2021 - 8.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_distributed_test.cc
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/eager/parallel_device/parallel_device_lib.cc
TFE_OpReset(op_.get(), operation_name, device_.c_str(), status); if (TF_GetCode(status) != TF_OK) return; } TFE_OpAddAttrs(op_.get(), attributes); for (int input_index = 0; input_index < inputs.size(); ++input_index) { TFE_OpAddInput(op_.get(), inputs[input_index], status); if (TF_GetCode(status) != TF_OK) return; } std::vector<TFE_TensorHandle*> unwrapped_results(expected_max_outputs);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/eager/gradient_checker.cc
int input_index, bool use_function, AbstractTensorHandle** numerical_grad) { vector<AbstractTensorHandle*> theta_inputs(inputs.size()); for (int i{}; i < inputs.size(); ++i) { theta_inputs[i] = inputs[i]; } AbstractTensorHandle* theta = theta_inputs[input_index]; // parameter we are grad checking
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0)