/external/tensorflow/tensorflow/python/framework/ |
D | fast_tensor_util.pyx | 10 tensor_proto, np.ndarray[np.uint16_t, ndim=1] nparray): argument 22 tensor_proto, np.ndarray[np.uint16_t, ndim=1] nparray): argument 30 tensor_proto, np.ndarray[np.float32_t, ndim=1] nparray): argument 38 tensor_proto, np.ndarray[np.float64_t, ndim=1] nparray): argument 46 tensor_proto, np.ndarray[np.int32_t, ndim=1] nparray): argument 53 tensor_proto, np.ndarray[np.uint32_t, ndim=1] nparray): argument 60 tensor_proto, np.ndarray[np.int64_t, ndim=1] nparray): argument 67 tensor_proto, np.ndarray[np.uint64_t, ndim=1] nparray): argument 74 tensor_proto, np.ndarray[np.uint8_t, ndim=1] nparray): argument 82 tensor_proto, np.ndarray[np.uint16_t, ndim=1] nparray): argument [all …]
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/external/executorch/backends/vulkan/runtime/graph/ops/impl/utils/ |
D | TensorUtils.h | 69 T normalize(const T& nchw_dim, const int64_t ndim) { in normalize() 78 T nchw_dim_to_whcn_dim(const T& nchw_dim, const int64_t ndim) { in nchw_dim_to_whcn_dim()
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D | KernelUtils.cpp | 82 const int64_t ndim = in_sizes.size(); in calc_out_sizes_hw() local 125 const int64_t ndim = in_sizes.size(); in calc_transpose_out_sizes_hw() local
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/external/pytorch/torch/_numpy/ |
D | _util.py | 47 def normalize_axis_index(ax, ndim, argname=None): argument 56 def normalize_axis_tuple(axis, ndim, argname=None, allow_duplicate=False): argument 120 def apply_keepdims(tensor, axis, ndim): argument
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/external/pytorch/aten/src/ATen/native/ |
D | AdaptiveMaxPooling2d.cpp | 16 int ndim = input.ndimension(); in TORCH_META_FUNC() local 58 int64_t ndim = grad_output.ndimension(); in TORCH_META_FUNC() local
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D | im2col_shape_check.h | 47 int64_t ndim = input.ndimension(); in col2im_shape_check() local 177 int64_t ndim = input.ndimension(); in im2col_shape_check() local
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D | AdaptiveAveragePooling.cpp | 30 int64_t ndim = input.dim(); in adaptive_avg_pool2d_out_cpu_template() local 66 int64_t ndim = grad_output.ndimension(); in adaptive_avg_pool2d_backward_out_cpu_template() local
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D | Pool.h | 128 const int64_t ndim = input.ndimension(); in pool2d_shape_check() local 184 const int64_t ndim = input.ndimension(); in max_pool2d_backward_shape_check() local 214 const int64_t ndim = input.ndimension(); in avg_pool2d_backward_shape_check() local 299 const int64_t ndim = input.ndimension(); in max_pool3d_backward_shape_check() local 334 const int64_t ndim = input.ndimension(); in avg_pool3d_backward_shape_check() local
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D | ReduceOpsUtils.h | 114 inline DimVector make_dim_vector(OptionalIntArrayRef opt_dims, int64_t ndim) { in make_dim_vector() 170 inline Tensor review_reduce_result(const Tensor& result, int ndim, DimMask mask, bool keepdim) { in review_reduce_result() 199 int64_t ndim = self.dim(); in make_reduction() local 240 int64_t ndim = self.dim(); in make_reduction() local 405 int64_t ndim = self.dim(); in make_reduction() local 423 int64_t ndim = self.dim(); in make_reduction() local
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D | LinearAlgebraUtils.h | 351 const int64_t ndim = self.ndimension(); in _move_to_end() local 436 …e std::vector<int64_t> create_dim_backshift_permutation(int64_t dim0, int64_t dim1, int64_t ndim) { in create_dim_backshift_permutation() 457 int64_t ndim = permutation.size(); in create_reverse_permutation() local 584 auto ndim = input.dim(); in is_blas_compatible_column_major_order() local 605 auto ndim = input.dim(); in is_blas_compatible_row_major_order() local
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/external/pytorch/aten/src/ATen/ |
D | TensorIteratorInternal.h | 29 const auto ndim = counter.size(); in get_data_ptrs() local 46 const auto ndim = shape.size(); in serial_for_each() local
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D | ExpandUtils.cpp | 21 auto ndim = dimsA > dimsB ? dimsA : dimsB; in infer_size_impl() local 66 int64_t ndim = static_cast<int64_t>(sizes.size()); in inferExpandGeometryImpl() local 153 size_t ndim = tensor_sizes.size(); in infer_dense_strides() local
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/external/pytorch/aten/src/ATen/native/mkldnn/xpu/detail/ |
D | Conv.cpp | 19 int64_t ndim, in conv_dst_size() 52 const int64_t ndim, in conv_src_fmt() 70 const int64_t ndim, in conv_weight_fmt() 93 const int64_t ndim, in compatible_weight_dims() 132 auto ndim = src.ndimension(); in conv_get_md() local
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D | Deconv.cpp | 51 const int64_t ndim, in deconv_src_fmt() 73 const int64_t ndim, in deconv_weight_fmt() 92 int64_t ndim, in deconv_compatible_weight_dims() 129 auto ndim = src.ndimension(); in deconv_get_plain_md() local
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/external/executorch/backends/vulkan/runtime/graph/containers/ |
D | Constant.cpp | 18 size_t ndim = t_sizes.size(); local
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/external/pytorch/aten/src/ATen/native/cuda/ |
D | TensorModeKernel.cu | 153 int64_t ndim = ensure_nonempty_dim(self.dim()); in calculate_mode() local 188 int64_t ndim = ensure_nonempty_dim(self.dim()); in apply_mode() local 279 const TensorBase &self, int64_t dim, int64_t ndim) { in launch_apply_mode_kernel()
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D | SortImpl.cu | 9 int64_t ndim = self.dim(); in infer_dense_strides_dim_last() local
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D | TensorModeKernel.cpp | 23 int64_t ndim = ensure_nonempty_dim(self.dim()); in mode_kernel_impl() local
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/external/executorch/kernels/portable/cpu/ |
D | op_constant_pad_nd.cpp | 32 size_t ndim, in apply_padding_to_dim() 112 size_t ndim = self.dim(); in constant_pad_nd_out_impl() local
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/external/pytorch/aten/src/ATen/cuda/ |
D | CUDASparseDescriptors.cpp | 63 auto ndim = input.dim(); in createRawDnMatDescriptor() local 146 auto ndim = input.dim(); in CuSparseSpMatCsrDescriptor() local
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/external/pytorch/torch/csrc/inductor/aoti_runtime/ |
D | arrayref_tensor.h | 166 int64_t ndim, in is_contiguous_strides_for_shape() 280 int64_t ndim, in reinterpret_tensor_wrapper() 293 int64_t ndim, in reinterpret_tensor_wrapper()
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/external/pytorch/torch/csrc/utils/ |
D | tensor_numpy.cpp | 99 static std::vector<int64_t> to_aten_shape(int ndim, npy_intp* values) { in to_aten_shape() 109 int ndim = PySequence_Length(py_seq); in seq_to_aten_shape() local 234 int ndim = PyArray_NDIM(array); in tensor_from_numpy() local
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D | tensor_list.cpp | 21 int64_t ndim = static_cast<int64_t>(sizes.size()); in recursive_to_list() local
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/external/executorch/backends/vulkan/runtime/api/containers/ |
D | Tensor.cpp | 25 const size_t ndim, in calculate_dim_order() 58 size_t ndim = sizes.size(); in calculate_strides() local 127 const size_t ndim = strides.size(); in unsqueeze_strides() local 144 int64_t ndim = sizes.size(); in calculate_padded_sizes() local
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/external/pytorch/aten/src/ATen/native/nested/ |
D | NestedTensorUtils.cpp | 70 int64_t ndim = self.dim(); in chunk_nested_tensor() local 117 int64_t ndim = self.dim(); in split_with_sizes_nested() local
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