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tensorflow/c/c_api.cc
#include "tensorflow/cc/framework/gradients.h" #include "tensorflow/cc/framework/ops.h" #include "tensorflow/cc/framework/scope_internal.h" #include "tensorflow/cc/ops/while_loop.h" #include "tensorflow/cc/saved_model/loader.h" #include "tensorflow/core/distributed_runtime/server_lib.h" #include "tensorflow/core/framework/logging.h" #include "tensorflow/core/framework/op_gen_lib.h"
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.cc
const TP_OptimizerConfigs tp_configs, const char* device_type) { ConfigList configs; // disable_model_pruning is turned off by default. if (tp_configs.disable_model_pruning == TF_TriState_On) configs.disable_model_pruning = true; else configs.disable_model_pruning = false; // The other configs are turned on by default. CONFIG_TOGGLE(implementation_selector);
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
namespace gradients { namespace internal { void CompareNumericalAndAutodiffGradients( Model model, Model grad_model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, bool use_function, double abs_error) { auto num_inputs = inputs.size(); std::vector<AbstractTensorHandle*> outputs(num_inputs); auto s = RunModel(grad_model, ctx, inputs, absl::MakeSpan(outputs), /*use_function=*/use_function);
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/c/eager/gradient_checker.cc
RunModel(forward, ctx, inputs, model_outputs, use_function)); AbstractTensorHandlePtr model_out(model_outputs[0]); TF_Tensor* model_out_tensor; TF_RETURN_IF_ERROR(GetValue(model_out.get(), &model_out_tensor)); int num_dims_out = TF_NumDims(model_out_tensor); TF_DeleteTensor(model_out_tensor); // If the output is a scalar, then return the scalar output if (num_dims_out == 0) { outputs[0] = model_out.release();
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad_test.cc
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/eager/unified_api_testutil.cc
TF_RETURN_IF_ERROR( CreateParamsForInputs(func_ctx.get(), inputs, &func_inputs)); std::vector<AbstractTensorHandle*> model_outputs; model_outputs.resize(outputs.size()); TF_RETURN_IF_ERROR(model(func_ctx.get(), absl::MakeSpan(func_inputs), absl::MakeSpan(model_outputs))); for (auto func_input : func_inputs) { func_input->Unref(); } AbstractFunction* func = nullptr;
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker_test.cc
void CompareNumericalAndManualGradients( Model model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, int input_index, float* expected_grad, int num_grad, bool use_function, double abs_error = 1e-2) { Status s; AbstractTensorHandlePtr numerical_grad; { AbstractTensorHandle* numerical_grad_raw; s = CalcNumericalGrad(ctx, model, inputs, input_index, use_function,
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 6.5K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
TF_RETURN_IF_ERROR(ops::SparseSoftmaxCrossEntropyWithLogits( ctx, inputs[0], inputs[1], &loss, &backprop, "SparseSoftmaxCrossEntropyWithLogits")); // `gradient_checker` only works with model that returns only 1 tensor. // Although, `ops::SparseSoftmaxCrossEntropyWithLogits` returns 2 tensors, the // second tensor isn't needed for computing gradient so we could safely drop // it. outputs[0] = loss;
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/c_api_test.cc
SetViaProto(desc_, {}); FinishAndVerify(desc_, {}); } TEST(CAPI, SavedModel) { // Load the saved model. const string saved_model_dir = tensorflow::GetDataDependencyFilepath( tensorflow::io::JoinPath("tensorflow", "cc", "saved_model", "testdata", "half_plus_two", "00000123")); TF_SessionOptions* opt = TF_NewSessionOptions();
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3)