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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/c_api_function.cc
// Process inputs. std::vector<tensorflow::OutputTensor> input_tensors; std::unordered_map<const Node*, std::vector<int>> input_nodes; status->status = tensorflow::ProcessInputs(fn_body, fn_name, ninputs, inputs, &input_tensors, &input_nodes); if (TF_GetCode(status) != TF_OK) return nullptr; // Process outputs. std::vector<tensorflow::OutputTensor> output_tensors;
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.cc
absl::InlinedVector<const void*, 4> values_vector; values_vector.reserve(s_size); absl::InlinedVector<size_t, 4> lengths_vector; lengths_vector.reserve(s_size); for (int i = 0; i < s_size; ++i) { const string& v = default_value.list().s(i); values_vector.push_back(v.data()); lengths_vector.push_back(v.size()); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/experimental/gradients/math_grad.cc
} } } private: // TODO(b/174778737): Only hold needed inputs. vector<AbstractTensorHandle*> forward_inputs_; }; class DivNoNanGradientFunction : public GradientFunction { public: explicit DivNoNanGradientFunction(vector<AbstractTensorHandle*> f_inputs, vector<AbstractTensorHandle*> f_outputs) : forward_inputs_(f_inputs), forward_outputs_(f_outputs) {
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K bytes - Viewed (0) -
src/main/java/org/codelibs/core/collection/CollectionsUtil.java
Java - Registered: Fri May 03 20:58:11 GMT 2024 - Last Modified: Thu Mar 07 01:59:08 GMT 2024 - 53.9K 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/c_api_unified_experimental_graph.cc
limitations under the License. ==============================================================================*/ #include <memory> #include <utility> #include <vector> #include "absl/strings/str_cat.h" #include "tensorflow/c/c_api.h" #include "tensorflow/c/eager/abstract_context.h" #include "tensorflow/c/eager/c_api_internal.h"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
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/eager/dlpack.cc
// original framework of destruction, and this context will be deleted also. struct TfDlManagedTensorCtx { TensorReference reference; std::vector<int64_t> shape; std::vector<int64_t> strides; DLManagedTensor tensor; explicit TfDlManagedTensorCtx(const TensorReference& ref) : reference(ref) {} }; // Gets tensor from eager tensor handle.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0)