eigen_tensor_d.ml1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233(* * Eigen - an OCaml interface to C++ Eigen library * Copyright (c) 2016-2017 Liang Wang <liang.wang@cl.cam.ac.uk> *) open Ctypes open Eigen_types.TENSOR_D let test x = let x_ptr = Ctypes.bigarray_start Ctypes_static.Genarray x in ml_eigen_tensor_test x_ptr let spatial_conv input kernel output batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows out_channel row_stride col_stride padding row_in_stride col_in_stride = let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in let kernel_ptr = Ctypes.bigarray_start Ctypes_static.Genarray kernel in let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in ml_eigen_tensor_spatial_conv input_ptr kernel_ptr output_ptr batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows out_channel row_stride col_stride padding row_in_stride col_in_stride let spatial_conv_backward_input input kernel output batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows out_channel row_stride col_stride row_in_stride col_in_stride = let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in let kernel_ptr = Ctypes.bigarray_start Ctypes_static.Genarray kernel in let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in ml_eigen_tensor_spatial_conv_backward_input input_ptr kernel_ptr output_ptr batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows out_channel row_stride col_stride row_in_stride col_in_stride let spatial_conv_backward_kernel input kernel output batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows out_channel row_stride col_stride row_in_stride col_in_stride = let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in let kernel_ptr = Ctypes.bigarray_start Ctypes_static.Genarray kernel in let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in ml_eigen_tensor_spatial_conv_backward_kernel input_ptr kernel_ptr output_ptr batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows out_channel row_stride col_stride row_in_stride col_in_stride let cuboid_conv input kernel output batches input_cols input_rows input_depth in_channel kernel_cols kernel_rows kernel_depth output_cols output_rows output_depth out_channel depth_stride row_stride col_stride padding = let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in let kernel_ptr = Ctypes.bigarray_start Ctypes_static.Genarray kernel in let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in ml_eigen_tensor_cuboid_conv input_ptr kernel_ptr output_ptr batches input_cols input_rows input_depth in_channel kernel_cols kernel_rows kernel_depth output_cols output_rows output_depth out_channel depth_stride row_stride col_stride padding let cuboid_conv_backward_input input kernel output batches input_cols input_rows input_depth in_channel kernel_cols kernel_rows kernel_depth output_cols output_rows output_depth out_channel depth_stride row_stride col_stride = let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in let kernel_ptr = Ctypes.bigarray_start Ctypes_static.Genarray kernel in let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in ml_eigen_tensor_cuboid_conv_backward_input input_ptr kernel_ptr output_ptr batches input_cols input_rows input_depth in_channel kernel_cols kernel_rows kernel_depth output_cols output_rows output_depth out_channel depth_stride row_stride col_stride let cuboid_conv_backward_kernel input kernel output batches input_cols input_rows input_depth in_channel kernel_cols kernel_rows kernel_depth output_cols output_rows output_depth out_channel depth_stride row_stride col_stride = let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in let kernel_ptr = Ctypes.bigarray_start Ctypes_static.Genarray kernel in let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in ml_eigen_tensor_cuboid_conv_backward_kernel input_ptr kernel_ptr output_ptr batches input_cols input_rows input_depth in_channel kernel_cols kernel_rows kernel_depth output_cols output_rows output_depth out_channel depth_stride row_stride col_stride let spatial_max_pooling input output batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows row_stride col_stride padding row_in_stride col_in_stride = let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in ml_eigen_tensor_spatial_max_pooling input_ptr output_ptr batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows row_stride col_stride padding row_in_stride col_in_stride let spatial_avg_pooling input output batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows row_stride col_stride padding row_in_stride col_in_stride = let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in ml_eigen_tensor_spatial_avg_pooling input_ptr output_ptr batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows row_stride col_stride padding row_in_stride col_in_stride let cuboid_max_pooling input output batches input_cols input_rows input_depth in_channel kernel_cols kernel_rows kernel_depth output_cols output_rows output_depth depth_stride row_stride col_stride padding = let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in ml_eigen_tensor_cuboid_max_pooling input_ptr output_ptr batches input_cols input_rows input_depth in_channel kernel_cols kernel_rows kernel_depth output_cols output_rows output_depth depth_stride row_stride col_stride padding let cuboid_avg_pooling input output batches input_cols input_rows input_depth in_channel kernel_cols kernel_rows kernel_depth output_cols output_rows output_depth depth_stride row_stride col_stride padding = let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in ml_eigen_tensor_cuboid_avg_pooling input_ptr output_ptr batches input_cols input_rows input_depth in_channel kernel_cols kernel_rows kernel_depth output_cols output_rows output_depth depth_stride row_stride col_stride padding let spatial_max_pooling_argmax input output argmax batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows row_stride col_stride pad_rows pad_cols = let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in let argmax_ptr = Ctypes.bigarray_start Ctypes_static.Genarray argmax in ml_eigen_tensor_spatial_max_pooling_argmax input_ptr output_ptr argmax_ptr batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows row_stride col_stride pad_rows pad_cols let spatial_max_pooling_backward input output input' batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows row_stride col_stride pad_rows pad_cols = let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in let input'_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input' in ml_eigen_tensor_spatial_max_pooling_backward input_ptr output_ptr input'_ptr batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows row_stride col_stride pad_rows pad_cols let spatial_avg_pooling_backward input output batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows row_stride col_stride pad_rows pad_cols = let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in ml_eigen_tensor_spatial_avg_pooling_backward input_ptr output_ptr batches input_cols input_rows in_channel kernel_cols kernel_rows output_cols output_rows row_stride col_stride pad_rows pad_cols (* ends here *)