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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 23 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/abstract_tensor_handle.h
// Returns the status of the tensor handle. If it is a tfrt::TensorHandle, // the tensor handle can be an error and return non-OK status. virtual tensorflow::Status TensorHandleStatus() const; // Returns tensor shape. If tensor has unknown rank, shape remains untouched. virtual tensorflow::Status Shape( tensorflow::PartialTensorShape* shape) const = 0; // Returns tensor (full) type.
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Mar 03 00:30:36 GMT 2023 - 3K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_TENSOR_HANDLE_H_ #define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_TENSOR_HANDLE_H_ #include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/tensor_interface.h" #include "tensorflow/core/framework/types.pb.h" #include "tensorflow/core/platform/status.h" namespace tensorflow {
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Mar 10 21:56:24 GMT 2023 - 4.3K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util.h
#ifndef TENSORFLOW_C_EXPERIMENTAL_NEXT_PLUGGABLE_DEVICE_TENSOR_PJRT_BUFFER_UTIL_H_ #define TENSORFLOW_C_EXPERIMENTAL_NEXT_PLUGGABLE_DEVICE_TENSOR_PJRT_BUFFER_UTIL_H_ #include "xla/pjrt/c/pjrt_c_api.h" #include "xla/pjrt/pjrt_c_api_client.h" #include "tensorflow/core/framework/tensor.h" namespace tensorflow { StatusOr<PJRT_Buffer*> GetPjRtCBufferFromTensor(const Tensor* tensor);
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 09 19:12:59 GMT 2023 - 1.5K 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/experimental/next_pluggable_device/tensor_pjrt_buffer_util.cc
absl::StatusOr<PJRT_Buffer*> GetPjRtCBufferFromTensor(const Tensor* tensor) { tensorflow::AsyncValueTensor* av_tensor = tensorflow::AsyncValueTensor::FromTensor(tensor); if (av_tensor == nullptr || av_tensor->GetBuffer() == nullptr) { return absl::InternalError("Input tensor does not have PjRtBuffer."); } auto* c_api_buffer = dynamic_cast<xla::PjRtCApiBuffer*>(av_tensor->GetBuffer().get()); if (c_api_buffer == nullptr) {
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 30 19:20:20 GMT 2023 - 3.7K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.cc
See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #include "tensorflow/c/eager/immediate_execution_tensor_handle.h" namespace tensorflow { std::string ImmediateExecutionTensorHandle::DebugString() const { PartialTensorShape shape; std::string shape_string; if (Shape(&shape).ok()) {
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 2.1K bytes - Viewed (0) -
tensorflow/c/eager/tfe_tensor_debug_info_internal.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_TFE_TENSOR_DEBUG_INFO_INTERNAL_H_ #define TENSORFLOW_C_EAGER_TFE_TENSOR_DEBUG_INFO_INTERNAL_H_ #include <vector> #include "tensorflow/core/platform/types.h" struct TFE_TensorDebugInfo { explicit TFE_TensorDebugInfo(const std::vector<int64_t>& dims)
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Aug 11 01:20:50 GMT 2021 - 1.1K bytes - Viewed (0) -
licenses/github.com/klauspost/compress/LICENSE
of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work.
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licenses/sigs.k8s.io/yaml/LICENSE
The MIT License (MIT) Copyright (c) 2014 Sam Ghods Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
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