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Results 11 - 20 of 52 for Vector2 (0.22 sec)
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tensorflow/c/eager/c_api_cluster_test.cc
job_def->mutable_tasks()->at(task_index) = tensorflow::strings::StrCat("localhost:", port); } void CheckTFE_TensorHandleHasFloats(TFE_TensorHandle* handle, const std::vector<float>& expected_values) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); TF_Tensor* t = TFE_TensorHandleResolve(handle, status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 19.3K 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/c_test_util.cc
bool ret = TF_GetCode(s) == TF_OK; if (ret) ret = attr_value->ParseFromArray(buffer->data, buffer->length); TF_DeleteBuffer(buffer); return ret; } std::vector<std::pair<string, string>> GetGradDefs( const tensorflow::GraphDef& graph_def) { std::vector<std::pair<string, string>> grads; for (const tensorflow::GradientDef& grad : graph_def.library().gradient()) { grads.emplace_back(grad.function_name(), grad.gradient_func());
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/env.cc
#include "tensorflow/c/tf_status_helper.h" #include "tensorflow/core/platform/env.h" #include "tensorflow/core/platform/path.h" #include "tensorflow/core/platform/types.h" struct TF_StringStream { std::vector<::tensorflow::string>* list; size_t position; }; void TF_CreateDir(const char* dirname, TF_Status* status) { TF_SetStatus(status, TF_OK, ""); ::tensorflow::Set_TF_Status_from_Status(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 11 01:20:50 GMT 2021 - 7K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.cc
#include "tensorflow/c/experimental/grappler/grappler.h" #include <algorithm> #include <cstddef> #include <cstring> #include <string> #include <unordered_map> #include <unordered_set> #include <vector> #include "absl/status/status.h" #include "tensorflow/c/c_api_macros.h" #include "tensorflow/c/experimental/grappler/grappler_internal.h" #include "tensorflow/c/tf_buffer.h" #include "tensorflow/c/tf_buffer_internal.h"
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/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) -
tensorflow/c/experimental/gradients/array_grad_test.cc
using tensorflow::TF_StatusPtr; Status IdentityNModel(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { std::vector<AbstractTensorHandle*> temp_outputs(2); TF_RETURN_IF_ERROR( ops::IdentityN(ctx, inputs, absl::MakeSpan(temp_outputs), "IdentityN")); // Although, `ops::IdentityN` returns 2 tensors, the first tensor isn't needed
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/parallel_device/parallel_device_lib.cc
} } absl::optional<std::vector<std::unique_ptr<ParallelTensor>>> ParallelDevice::Join( const std::vector<PartialTensorShape>& expected_output_shapes, TF_Status* status) const { absl::optional<std::vector<std::unique_ptr<ParallelTensor>>> result; // Compute per-device per-output tensors std::vector<std::vector<TensorHandlePtr>> per_device_output_tensors;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device.cc
device->delete_device = &DeleteParallelDevice; device->execute = &ParallelDeviceExecute; std::vector<std::string> underlying_devices_vector; underlying_devices_vector.reserve(num_underlying_devices); for (int device_index = 0; device_index < num_underlying_devices; ++device_index) { underlying_devices_vector.push_back(underlying_devices[device_index]); } std::unique_ptr<ParallelDevice> parallel_device(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
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)