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tensorflow/c/eager/abstract_tensor_handle.h
#include "tensorflow/core/framework/types.pb.h" #include "tensorflow/core/platform/refcount.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { // Abstract interface to a Tensor handle in either tracing or immediate // execution mode. class AbstractTensorHandle : public core::RefCounted { protected: enum AbstractTensorHandleKind { kGraph, kMlir, kEager, kTfrt, kCustomDevice };
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Mar 03 00:30:36 GMT 2023 - 3K bytes - Viewed (0) -
tensorflow/c/c_test_util.h
#include "tensorflow/core/framework/graph.pb.h" #include "tensorflow/core/framework/node_def.pb.h" #include "tensorflow/core/framework/types.pb.h" #include "tensorflow/core/platform/test.h" using ::tensorflow::string; typedef std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> unique_tensor_ptr; TF_Tensor* BoolTensor(int32_t v); // Create a tensor with values of type TF_INT8 provided by `values`.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 09 01:06:53 GMT 2018 - 6K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem.h
/// For documentation on these methods, consult `core/platform/filesystem.h`. namespace tensorflow { // TODO(b/143949615): After all filesystems are converted, this file will be // moved to core/platform, and this class can become a singleton and replace the // need for `Env::Default()`. At that time, we might decide to remove the need // for `Env::Default()` altogether, but that's a different project, not in
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 12 08:49:52 GMT 2023 - 8.9K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_test.cc
#include "tensorflow/c/eager/unified_api_testutil.h" #include "tensorflow/c/tf_status_helper.h" #include "tensorflow/core/framework/tensor_shape.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 { class UnifiedAPI
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 6.7K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.cc
#include "tensorflow/c/eager/c_api_unified_experimental_internal.h" #include "tensorflow/c/tf_status.h" #include "tensorflow/c/tf_status_helper.h" #include "tensorflow/core/framework/tensor_shape.h" #include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h" #include "tensorflow/core/platform/errors.h" namespace tensorflow { AbstractContext* BuildFunction(const char* fn_name) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/tracing_utils.cc
#include "tensorflow/c/experimental/gradients/tape/tape_operation.h" #include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h" #include "tensorflow/core/platform/errors.h" namespace tensorflow { namespace tracing { Status MaybeSetOpName(AbstractOperation* op, const char* op_name) { if (isa<TracingOperation>(op)) { TF_RETURN_IF_ERROR(dyn_cast<TracingOperation>(op)->SetOpName(op_name)); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_internal.h
#include "tensorflow/c/eager/c_api_unified_experimental.h" #include "tensorflow/c/tf_datatype.h" #include "tensorflow/c/tf_status.h" #include "tensorflow/core/framework/tensor_shape.h" #include "tensorflow/core/platform/casts.h" #include "tensorflow/core/platform/types.h" namespace tensorflow { // Represents the results of the execution of an operation. struct OutputList { std::vector<AbstractTensorHandle*> outputs;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Nov 13 22:20:40 GMT 2020 - 5.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_remote_test_util.cc
#include "tensorflow/c/eager/c_api_test_util.h" #include "tensorflow/c/eager/tfe_tensorhandle_internal.h" #include "tensorflow/core/common_runtime/eager/tensor_handle.h" #include "tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h" #include "tensorflow/core/platform/test.h" #include "tensorflow/core/protobuf/tensorflow_server.pb.h" using ::tensorflow::string; string MatMulFunction(const string& matmul_device) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 9.1K bytes - Viewed (0) -
SECURITY.md
read/write/executions. ### Running a TensorFlow server TensorFlow is a platform for distributed computing, and as such there is a TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for internal communication only. It is not built for use in untrusted environments or networks. For performance reasons, the default TensorFlow server does not include any
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Sun Oct 01 06:06:35 GMT 2023 - 9.6K bytes - Viewed (0) -
tensorflow/c/eager/tfe_tensor_debug_info_internal.h
See the License for the specific language governing permissions and 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 {
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 11 01:20:50 GMT 2021 - 1.1K bytes - Viewed (0)