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tensorflow/c/eager/custom_device_test.cc
TFE_TensorHandle* var_value_unpacked = UnpackTensorHandle(var_value, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> resolved_value( TFE_TensorHandleResolve(var_value_unpacked, status.get()), TF_DeleteTensor); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
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/experimental/next_pluggable_device/tensor_pjrt_buffer_util_test.cc
tensorflow::AsyncValueTensor* av_tensor = tensorflow::AsyncValueTensor::FromTensor(&tensor); av_tensor->SetBuffer(std::move(buffer)); TF_ASSERT_OK_AND_ASSIGN(auto c_buffer, GetPjRtCBufferFromTensor(&tensor)); EXPECT_THAT(c_buffer, NotNull()); } TEST(TensorPjRtBufferUtilTest, SetPjRtCBufferToTensorNotAsyncValueTensor) { tensorflow::Tensor tensor(DT_FLOAT, {1});
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 30 19:20:20 GMT 2023 - 7.2K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.cc
ParallelTensor* parallel_tensor = reinterpret_cast<ParallelTensor*>( TFE_TensorHandleDevicePointer(tensor, status)); if (TF_GetCode(status) != TF_OK) return nullptr; if (parallel_tensor->num_tensors() == 1) { // Copy-off for single-device tensors is allowed to make debugging dynamic // control flow easier. return TFE_TensorHandleCopySharingTensor(parallel_tensor->tensor(0),
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) -
tensorflow/c/eager/abstract_tensor_handle.cc
See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #include "tensorflow/c/eager/abstract_tensor_handle.h" namespace tensorflow { std::string AbstractTensorHandle::DebugString() const { PartialTensorShape shape; Status s = Shape(&shape); std::string shape_string; if (!s.ok()) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/custom_device_testutil.cc
}; struct LoggedTensor { TFE_TensorHandle* tensor; LoggedTensor() = delete; explicit LoggedTensor(TFE_TensorHandle* tensor) : tensor(tensor) {} ~LoggedTensor() { TFE_DeleteTensorHandle(tensor); } }; int64_t LoggedTensorDim(void* data, int dim_index, TF_Status* status) { return TFE_TensorHandleDim(reinterpret_cast<LoggedTensor*>(data)->tensor, dim_index, status); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 03 20:47:31 GMT 2021 - 8.3K 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/experimental/next_pluggable_device/c_api.cc
status->status = cc_status; return nullptr; } tensorflow::Tensor* tensor = var_info->var_info.var()->tensor(); TF_Tensor* result_tensor = tensorflow::TF_TensorFromTensor(*tensor, &cc_status); status->status = cc_status; return result_tensor; } void TF_DeleteVariableInfo(TF_VariableInfo* var_info) { if (var_info != nullptr) { delete var_info;
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jan 09 00:52:04 GMT 2024 - 13.9K bytes - Viewed (1) -
tensorflow/c/eager/gradients_test.cc
#include "tensorflow/c/tf_status_helper.h" #include "tensorflow/c/tf_tensor.h" #include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h" #include "tensorflow/core/platform/errors.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace gradients { namespace internal { namespace { using std::vector; using tensorflow::TF_StatusPtr; using tracing::TracingOperation; class CppGradients
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K bytes - Viewed (0) -
tensorflow/c/c_api_function.cc
// Process inputs. std::vector<tensorflow::OutputTensor> input_tensors; std::unordered_map<const Node*, std::vector<int>> input_nodes; status->status = tensorflow::ProcessInputs(fn_body, fn_name, ninputs, inputs, &input_tensors, &input_nodes); if (TF_GetCode(status) != TF_OK) return nullptr; // Process outputs. std::vector<tensorflow::OutputTensor> output_tensors;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2)