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tensorflow/c/eager/c_api_unified_experimental_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); TF_Tensor* result_tensor = TFE_TensorHandleResolve(result_t, status.get()); // Copy Tensor data into an array. float result_data[4] = {0}; memcpy(&result_data[0], TF_TensorData(result_tensor), TF_TensorByteSize(result_tensor)); int data_len = 4; // length of result_data for (int i = 0; i < data_len; i++) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 19 21:44:52 GMT 2023 - 39.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
// Execute the operation defined by 'op' and return handles to computed // tensors in `retvals`. // // 'retvals' must point to a pre-allocated array of TFE_TensorHandle* and // '*num_retvals' should be set to the size of this array. It is an error if // the size of 'retvals' is less than the number of outputs. This call sets // *num_retvals to the number of outputs. //
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tensorflow/c/eager/dlpack.cc
// TFE_NewTensorHandleFromDeviceMemory. void DeallocatorWrapperFunc(void* data, size_t len, void* dlmt_vptr) { TFE_CallDLManagedTensorDeleter(dlmt_vptr); } // Checks whether the stride array matches the layout of compact, row-majored // data. bool IsValidStrideCompactRowMajorData(int64_t* shape_arr, int64_t* stride_arr, int ndim) { bool valid = true;
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/BUILD
"//tensorflow/cc:grad_ops", "//tensorflow/cc/saved_model:signature_constants", "//tensorflow/cc/saved_model:tag_constants", "//tensorflow/compiler/jit", "//tensorflow/core:array_ops_op_lib", "//tensorflow/core:bitwise_ops_op_lib", "//tensorflow/core:control_flow_ops_op_lib", "//tensorflow/core:core_cpu_internal", "//tensorflow/core:direct_session",
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CONTRIBUTING.md
```bash bazel run //tensorflow/tools/docs:tf_doctest ``` or ```bash bazel run //tensorflow/tools/docs:tf_doctest -- --module=ops.array_ops ``` The `--module` is relative to `tensorflow.python`. #### Debug builds When [building Tensorflow](https://www.tensorflow.org/install/source), passing
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tensorflow/c/experimental/gradients/math_grad.cc
#include "tensorflow/c/experimental/gradients/math_grad.h" #include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/eager/gradients.h" #include "tensorflow/c/experimental/ops/array_ops.h" #include "tensorflow/c/experimental/ops/math_ops.h" #include "tensorflow/c/experimental/ops/nn_ops.h" using std::vector; using tensorflow::ops::AddV2; using tensorflow::ops::Div;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K bytes - Viewed (0) -
tensorflow/c/eager/BUILD
":unified_api_testutil", "//tensorflow/c:c_api", "//tensorflow/c:c_test_util", "//tensorflow/c:tf_status_helper", "//tensorflow/c/experimental/gradients:array_grad", "//tensorflow/c/experimental/gradients:math_grad", "//tensorflow/c/experimental/gradients:not_differentiable", "//tensorflow/c/experimental/gradients/tape:tape_context",
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tensorflow/c/c_api_experimental.cc
delete shape_list; } void TF_DeleteShapeAndTypeListArray(TF_ShapeAndTypeList** shape_list_array, int num_items) { if (shape_list_array == nullptr) return; for (int i = 0; i < num_items; ++i) { TF_DeleteShapeAndTypeList(shape_list_array[i]); } delete[] shape_list_array; } namespace tensorflow { Status TF_TensorToTensor(const TF_Tensor* src, Tensor* dst);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.h
TF_Status* status); // Information about the shape of a Tensor and its type. struct TF_ShapeAndType { // Number of dimensions. -1 indicates unknown rank. int num_dims; // Array of dimensions. -1 indicates unknown dim. int64_t* dims; // The data type. May be 0 to denote unknown type. TF_DataType dtype; }; typedef struct TF_ShapeAndType TF_ShapeAndType;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
#include "tensorflow/core/config/flag_defs.h" #include "tensorflow/core/config/flags.h" #include "tensorflow/core/framework/tensor_shape.h" #include "tensorflow/core/framework/types.h" #include "tensorflow/core/lib/gtl/array_slice.h" #include "tensorflow/core/lib/gtl/cleanup.h" #include "tensorflow/core/lib/gtl/flatmap.h" #include "tensorflow/core/lib/gtl/flatset.h" #include "tensorflow/core/platform/errors.h"
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