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tensorflow/c/c_api_experimental.cc
const int64_t* dims, int num_dims) { DCHECK(index >= 0 && index < shape_list->num_items); TF_ShapeAndType& shape = shape_list->items[index]; DCHECK(shape.dims == nullptr) << "Shape at " << index << " is already set!"; DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!"; shape.num_dims = num_dims; shape.dims = new int64_t[num_dims];
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/experimental/gradients/grad_test_helper.cc
absl::Span<const int64_t> dims, double abs_error) { TF_Tensor* analytical_tensor; auto s = GetValue(t, &analytical_tensor); ASSERT_EQ(errors::OK, s.code()) << s.message(); int64_t num_elem_analytical = 1; auto num_dims_analytical = TF_NumDims(analytical_tensor); ASSERT_EQ(dims.size(), num_dims_analytical); for (int j = 0; j < num_dims_analytical; j++) {
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/experimental/gradients/math_grad_test.cc
GTEST_SKIP(); float A_vals[] = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}; int64_t A_dims[] = {3, 3}; AbstractTensorHandlePtr A; { AbstractTensorHandle* A_raw; status_ = TestTensorHandleWithDims<float, TF_FLOAT>( immediate_execution_ctx_.get(), A_vals, A_dims, 2, &A_raw); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); A.reset(A_raw); }
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Apr 13 17:32:14 GMT 2023 - 16.3K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.h
TF_CAPI_EXPORT extern TF_DataType TF_CheckpointReaderGetVariableDataType( TF_CheckpointReader* reader, const char* name); // Read the shape of a variable and write to `dims` TF_CAPI_EXPORT extern void TF_CheckpointReaderGetVariableShape( TF_CheckpointReader* reader, const char* name, int64_t* dims, int num_dims, TF_Status* status); // Get the number of dimension of a variable TF_CAPI_EXPORT extern int TF_CheckpointReaderGetVariableNumDims(
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/parallel_device/parallel_device_lib_test.cc
ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_OpSetAttrType(handle_op.get(), "dtype", TF_FLOAT); TFE_OpSetAttrShape(handle_op.get(), "shape", /*dims=*/nullptr, /*num_dims=*/0, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); auto outputs = parallel_device.Execute(context.get(), std::vector<ParallelTensor*>(),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.cc
AbstractTensorHandlePtr sum_dims; { vector<int32_t> vals(num_dims_out); int64_t vals_shape[] = {num_dims_out}; Range(&vals, 0, num_dims_out); AbstractTensorHandle* sum_dims_raw = nullptr; TF_RETURN_IF_ERROR(TestTensorHandleWithDims<int32_t, TF_INT32>( ctx, vals.data(), vals_shape, 1, &sum_dims_raw)); sum_dims.reset(sum_dims_raw); }
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/c_api_test_util.h
float data[], int64_t dims[], int num_dims); // Get a Matrix TensorHandle with given float values and dimensions TFE_TensorHandle* TestTensorHandleWithDimsFloat(TFE_Context* ctx, float data[], int64_t dims[], int num_dims); // Get a Matrix TensorHandle with given int values and dimensions
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Jul 17 23:43:59 GMT 2023 - 7.7K bytes - Viewed (0) -
tensorflow/c/c_api.h
// Fills in `dims` with the list of shapes in the attribute `attr_name` of // `oper` and `num_dims` with the corresponding number of dimensions. On return, // for every i where `num_dims[i]` > 0, `dims[i]` will be an array of // `num_dims[i]` elements. A value of -1 for `num_dims[i]` indicates that the // i-th shape in the list is unknown. // // The elements of `dims` will point to addresses in `storage` which must be
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
const int64_t* dims, const int num_dims, const char* device, TF_Status* status) { std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> op( TFE_NewOp(context, "VarHandleOp", status), TFE_DeleteOp); if (TF_GetCode(status) != TF_OK) return nullptr; TFE_OpSetAttrType(op.get(), "dtype", type); TFE_OpSetAttrShape(op.get(), "shape", dims, num_dims, status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jun 15 15:44:44 GMT 2021 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.h
// Helper for constructing a resource handle and wrapping it in a `Variable` // object. static Variable* Create(TFE_Context* context, TF_DataType type, const int64_t* dims, const int num_dims, const char* device, TF_Status* status); // Dereferences the backing buffer for the variable. Note that since this can
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 09 01:12:35 GMT 2021 - 6.9K bytes - Viewed (0)