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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/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) -
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/checkpoint_reader.cc
: reader_(nullptr), v2_reader_(nullptr), var_to_shape_map_(nullptr), var_to_data_type_map_(nullptr) { // Depending on whether this is a V2 ckpt, initializes "reader_" or // "v2_reader_". std::vector<string> v2_path; if (Env::Default()->GetMatchingPaths(MetaFilename(filename), &v2_path).ok() && !v2_path.empty()) { v2_reader_.reset( new BundleReader(Env::Default(), filename /* prefix to a V2 ckpt */));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Aug 25 21:29:12 GMT 2023 - 5.5K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/tape/tape_operation.cc
} Status TapeOperation::SetAttrStringList(const char* attr_name, const void* const* values, const size_t* lengths, int num_values) { std::vector<StringPiece> v(num_values); for (int i = 0; i < num_values; ++i) { v[i] = StringPiece(static_cast<const char*>(values[i]), lengths[i]); } forward_op_.attrs.Set(attr_name, v);
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jun 07 01:53:35 GMT 2022 - 9K bytes - Viewed (1) -
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/eager/c_api_experimental_test.cc
// `ctx_0`, `ctx_1` contains `remote_device`. { const std::vector<std::string>& device_names = ListDeviceNames(ctx_0); ASSERT_TRUE(std::find(device_names.begin(), device_names.end(), remote_device) != device_names.end()); } { const std::vector<std::string>& device_names = ListDeviceNames(ctx_1);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 03:14:26 GMT 2023 - 31.5K bytes - Viewed (1)