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tensorflow/c/c_api_internal.h
std::vector<tensorflow::string> tensor_id_data; }; struct TF_ImportGraphDefResults { std::vector<TF_Output> return_tensors; std::vector<TF_Operation*> return_nodes; std::vector<const char*> missing_unused_key_names; std::vector<int> missing_unused_key_indexes; // Backing memory for missing_unused_key_names values. std::vector<tensorflow::string> missing_unused_key_names_data;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat May 13 00:49:12 GMT 2023 - 7.6K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// don't want to have a `std::vector<std::string>` at global level, we use a // static pointer to such a vector: we construct it via `SchemeVector()` below // and when tests are instantiated we process it using `GetSchemes()`. static std::vector<std::string>* SchemeVector() { static std::vector<std::string>* schemes = new std::vector<std::string>; return schemes; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 20:25:58 GMT 2022 - 71K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem.cc
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 23.1K 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/c_api.cc
// Input tensors const std::vector<std::pair<string, Tensor>>& input_pairs, // Output tensors const std::vector<string>& output_tensor_names, TF_Tensor** c_outputs, // Target nodes const std::vector<string>& target_oper_names, TF_Buffer* run_metadata, TF_Status* status) { const int noutputs = output_tensor_names.size(); std::vector<Tensor> outputs(noutputs); Status result;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/eager/dlpack_test.cc
#include "tensorflow/c/eager/dlpack.h" #include <vector> #include "absl/strings/str_join.h" #include "include/dlpack/dlpack.h" // from @dlpack #include "tensorflow/c/eager/c_api.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace { void TestHandleFromDLPack(TF_Status* status, TFE_Context* ctx, std::vector<int64_t> shape,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jun 30 03:04:46 GMT 2023 - 4.4K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
const string& op_name) { std::vector<int64_t> input_ids(inputs.size()); std::vector<tensorflow::DataType> input_dtypes(inputs.size()); for (int i = 0; i < inputs.size(); i++) { input_ids[i] = ToId(inputs[i]); input_dtypes[i] = inputs[i]->DataType(); } std::vector<TapeTensor> tape_tensors; tape_tensors.reserve(outputs.size()); for (auto t : outputs) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
: public std::function<Status(const std::vector<Gradient*>&, std::vector<Gradient*>*, bool)> { public: template <typename lambda_type> explicit ForwardFunction(lambda_type lambda) : std::function<Status(const std::vector<Gradient*>&, std::vector<Gradient*>*, bool)>(lambda) {} }; // Computes Jacobian-vector products using forward-mode automatic
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/c_api_test.cc
EXPECT_TRUE(found); TF_DeleteBuffer(op_list_buffer); } } void TestEncodeDecode(int line, const std::vector<string>& data) { const int64_t n = data.size(); Status status; for (const std::vector<int64_t>& dims : std::vector<std::vector<int64_t>>{{n}, {1, n}, {n, 1}, {n / 2, 2}}) { // Create C++ Tensor Tensor src(tensorflow::DT_STRING, TensorShape(dims));
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/experimental/grappler/grappler_internal.h
#define TENSORFLOW_C_EXPERIMENTAL_GRAPPLER_GRAPPLER_INTERNAL_H_ #include <functional> #include <memory> #include <unordered_map> #include <unordered_set> #include <vector> #include "tensorflow/c/c_api.h" #include "tensorflow/c/experimental/grappler/grappler.h" #include "tensorflow/core/framework/graph.pb.h" #include "tensorflow/core/grappler/optimizers/custom_graph_optimizer.h"
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Jun 08 08:58:23 GMT 2022 - 3.5K bytes - Viewed (1)