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tensorflow/c/eager/unified_api_testutil.h
// dtype of `inputs`. Status CreateParamsForInputs(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, std::vector<AbstractTensorHandle*>* params); // A callable that takes tensor inputs and returns zero or more tensor outputs. using Model = std::function<Status(AbstractContext*,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
status_ = TestScalarTensorHandle<float, TF_FLOAT>( immediate_execution_ctx_.get(), 0.0f, &Y_raw); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); Y.reset(Y_raw); } std::vector<AbstractTensorHandle*> outputs(1); status_ = RunModel(ReluGradModel, immediate_execution_ctx_.get(), {Y.get()}, absl::MakeSpan(outputs), UseFunction());
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/experimental/gradients/nn_grad.cc
#include "tensorflow/core/platform/errors.h" using std::vector; using tensorflow::ops::BiasAddGrad; using tensorflow::ops::Mul; using tensorflow::ops::ReluGrad; namespace tensorflow { namespace gradients { namespace { class ReluGradientFunction : public GradientFunction { public: explicit ReluGradientFunction(vector<AbstractTensorHandle*> f_outputs) : forward_outputs_(f_outputs) {
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.cc
limitations under the License. ==============================================================================*/ #include "tensorflow/c/eager/c_api_unified_experimental.h" #include <vector> #include "absl/container/flat_hash_map.h" #include "absl/strings/str_cat.h" #include "tensorflow/c/eager/c_api_unified_experimental_internal.h" #include "tensorflow/c/tf_datatype.h" #include "tensorflow/c/tf_status.h"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
using tensorflow::TF_StatusPtr; Status IdentityNModel(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { std::vector<AbstractTensorHandle*> temp_outputs(2); TF_RETURN_IF_ERROR( ops::IdentityN(ctx, inputs, absl::MakeSpan(temp_outputs), "IdentityN")); // Although, `ops::IdentityN` returns 2 tensors, the first tensor isn't needed
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/unified_api_testutil.cc
absl::flat_hash_set<int> null_indices; { AbstractContextPtr func_ctx(BuildFunction(fn_name)); std::vector<AbstractTensorHandle*> func_inputs; func_inputs.reserve(inputs.size()); TF_RETURN_IF_ERROR( CreateParamsForInputs(func_ctx.get(), inputs, &func_inputs)); std::vector<AbstractTensorHandle*> model_outputs; model_outputs.resize(outputs.size());
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/experimental/gradients/custom_gradient_test.cc
#include "tensorflow/c/tf_status_helper.h" #include "tensorflow/core/platform/errors.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace gradients { namespace internal { namespace { using std::vector; class CustomGradientTest : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus());
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 4.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
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); ASSERT_EQ(errors::OK, s.code()) << s.message();
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
int num_elems = TF_TensorElementCount(theta_tensor); vector<float> theta_data(num_elems); memcpy(theta_data.data(), TF_TensorData(theta_tensor), TF_TensorByteSize(theta_tensor)); // Initialize space for the numerical gradient. vector<float> dtheta_approx(num_elems); // Get theta shape and store in theta_dims. int num_dims = TF_NumDims(theta_tensor); vector<int64_t> theta_dims(num_dims);
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/eager/gradients_test.cc
#include "tensorflow/core/platform/errors.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace gradients { namespace internal { namespace { using std::vector; using tensorflow::TF_StatusPtr; using tracing::TracingOperation; class CppGradients : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K bytes - Viewed (0)