- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 66 for vector (0.15 sec)
-
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
// This cache has space for 4 blocks; we'll read from two files. const size_t n = 3; tf_gcs_filesystem::RamFileBlockCache cache(8, 32, 0, fetcher); std::vector<char> out; std::vector<char> a(n, 'a'); std::vector<char> b(n, 'b'); std::vector<char> A(n, 'A'); std::vector<char> B(n, 'B'); // Fill the cache. TF_EXPECT_OK(ReadCache(&cache, "a", 0, n, &out)); EXPECT_EQ(out, a); EXPECT_EQ(calls, 1);
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:57 GMT 2021 - 23.2K bytes - Viewed (0) -
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/eager/c_api_debug.cc
#include "tensorflow/core/platform/status.h" using tensorflow::string; namespace { std::vector<int64_t> TensorShapeAsVector(const tensorflow::TensorHandle& handle, tensorflow::Status* status) { std::vector<int64_t> shape; int rank = -1; *status = handle.NumDims(&rank); if (!status->ok()) { return shape; } shape.reserve(rank);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 11 01:20:50 GMT 2021 - 2.5K 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/parallel_device/parallel_device_lib_test.cc
TensorHandlePtr three_vector = VectorFloatTensorHandle({5., 6., 7.}, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); std::vector<TensorHandlePtr> vector_handles; vector_handles.reserve(2); vector_handles.push_back(std::move(two_vector)); vector_handles.push_back(std::move(three_vector)); std::unique_ptr<ParallelTensor> unknown_length_vector =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0)