- Sort Score
- Result 10 results
- Languages All
Results 11 - 20 of 36 for Input (0.57 sec)
-
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/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/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) -
tensorflow/c/experimental/grappler/grappler_test.cc
std::unique_ptr<SingleMachine> cluster(new SingleMachine(5 * 60, 3, 0)); TF_ASSERT_OK(cluster->Provision()); TrivialTestGraphInputYielder fake_input(4, 1, 10, false, cluster->GetDeviceNames()); GrapplerItem item; CHECK(fake_input.NextItem(&item)); TF_Status* status = TF_NewStatus(); TF_GraphProperties* graph_properties =
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
TFE_Context* context, TFE_TensorHandle* input, std::array<TensorHandlePtr, num_replicas>* components, TF_Status* status) { std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> op( TFE_NewOp(context, "TPUReplicatedOutput", status), TFE_DeleteOp); if (TF_GetCode(status) != TF_OK) return; TFE_OpSetAttrInt(op.get(), "num_replicas", num_replicas); TFE_OpAddInput(op.get(), input, status); if (TF_GetCode(status) != TF_OK) return;
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_test.cc
} TensorHandlePtr CollectiveSum(TFE_Context* context, TFE_TensorHandle* input, int group_size, TF_Status* status) { std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> op( TFE_NewOp(context, "CollectiveReduce", status), TFE_DeleteOp); if (TF_GetCode(status) != TF_OK) return nullptr; const char* device = TFE_TensorHandleDeviceName(input, status); if (TF_GetCode(status) != TF_OK) return nullptr;
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/experimental/next_pluggable_device/c_api.cc
auto* cc_ctx = reinterpret_cast<tensorflow::OpKernelContext*>(ctx); const tensorflow::Tensor& arg_tensor = cc_ctx->input(index); absl::Status cc_status; if (arg_tensor.dtype() != tensorflow::DT_RESOURCE) { cc_status = absl::InvalidArgumentError( absl::StrCat("Trying to obtain resource handle from Input[", index, "], which is not type DT_RESOURCE.")); status->status = cc_status; return nullptr;
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jan 09 00:52:04 GMT 2024 - 13.9K bytes - Viewed (1)