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tensorflow/c/eager/gradients.cc
return op_->SetAttrTypeList(attr_name, values, num_values); } Status SetAttrBoolList(AbstractOperation* op_, const char* attr_name, const unsigned char* values, int num_values, ForwardOperation* forward_op_) { std::unique_ptr<bool[]> b(new bool[num_values]); for (int i = 0; i < num_values; ++i) { b[i] = values[i]; }
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/custom_device_test.cc
TFE_TensorHandle* retval; int num_retvals = 1; TFE_Execute(matmul.get(), &retval, &num_retvals, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_DeleteTensorHandle(retval); // Custom device: inputs in same custom device works. matmul.reset(MatMulOp(context.get(), hcustom0.get(), hcustom0.get())); num_retvals = 1; executed = false;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 18.4K bytes - Viewed (0) -
tensorflow/c/c_test_util.cc
memcpy(TF_TensorData(t), values, sizeof(char) * num_values); return t; } TF_Tensor* Int32Tensor(const int64_t* dims, int num_dims, const int32_t* values) { int64_t num_values = 1; for (int i = 0; i < num_dims; ++i) { num_values *= dims[i]; } TF_Tensor* t = TF_AllocateTensor(TF_INT32, dims, num_dims, sizeof(int32_t) * num_values);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:52 GMT 2021 - 17.8K bytes - Viewed (2) -
tensorflow/c/eager/c_api_unified_experimental.cc
void TF_DeleteOutputList(TF_OutputList* o) { delete unwrap(o); } void TF_OutputListSetNumOutputs(TF_OutputList* o, int num_outputs, TF_Status* s) { unwrap(o)->expected_num_outputs = num_outputs; unwrap(o)->outputs.clear(); unwrap(o)->outputs.resize(num_outputs); } int TF_OutputListNumOutputs(TF_OutputList* o) { return unwrap(o)->outputs.size(); }
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/grappler/grappler.cc
void TF_GetNodesToPreserveListSize(const TF_GrapplerItem* item, int* num_values, size_t* storage_size, TF_Status* status) { TF_SetStatus(status, TF_OK, ""); const std::unordered_set<std::string>& nodes = reinterpret_cast<const tensorflow::grappler::GrapplerItem*>(item) ->NodesToPreserve(); *num_values = nodes.size(); *storage_size = 0;
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
tensorflow/c/eager/abstract_operation.h
virtual Status SetAttrTypeList(const char* attr_name, const DataType* values, int num_values) = 0; virtual Status SetAttrBoolList(const char* attr_name, const unsigned char* values, int num_values) = 0; virtual Status SetAttrShapeList(const char* attr_name, const int64_t** dims,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/c_api.cc
int num_shapes) { std::vector<PartialTensorShape> shapes; shapes.reserve(num_shapes); for (int i = 0; i < num_shapes; ++i) { if (num_dims[i] < 0) { shapes.emplace_back(); } else { shapes.emplace_back(ArraySlice<int64_t>( reinterpret_cast<const int64_t*>(dims[i]), num_dims[i])); } }
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/experimental/grappler/grappler.h
// or removed during the graph transformation. This includes feed and fetch // nodes, keep_ops, init_ops. Fills in `num_values` and `storage_size`, they // will be used in `TF_GetNodesToPreserveList`. TF_CAPI_EXPORT extern void TF_GetNodesToPreserveListSize( const TF_GrapplerItem* item, int* num_values, size_t* storage_size, TF_Status* status); // Get a set of node names that must be preserved. They can not be transformed
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Aug 03 18:08:43 GMT 2022 - 12.5K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
const size_t block_size = 16; int num_requests = 0; Notification notification; auto fetcher = [&num_requests, ¬ification, block_size]( const string& filename, size_t offset, size_t n, char* buffer, TF_Status* status) -> int64_t { EXPECT_EQ(n, block_size); EXPECT_EQ(offset, 0); num_requests++; memset(buffer, 'x', n); notification.Notify();
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/eager/dlpack_test.cc
std::vector<int64_t> shape, std::vector<int64_t> strides) { size_t num_elements = 1; for (int i = 0; i < static_cast<int32_t>(shape.size()); ++i) { num_elements *= shape[i]; } std::vector<float> data(num_elements); for (size_t j = 0; j < num_elements; ++j) { data[j] = j; } DLManagedTensor dlm_in = {}; DLTensor* dltensor_in = &dlm_in.dl_tensor;
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)