| Line | Branch | Exec | Source |
|---|---|---|---|
| 1 | module athena__input_layer | ||
| 2 | !! Module containing procedures for an input layer | ||
| 3 | !! | ||
| 4 | !! This module implements the input layer which serves as the entry point | ||
| 5 | !! for data into a neural network. It handles data conversion and batching. | ||
| 6 | !! | ||
| 7 | !! Operation: Accepts external data and converts to internal array_type format | ||
| 8 | !! - Validates input shape matches specified dimensions | ||
| 9 | !! - Handles both dense arrays and graph-structured data | ||
| 10 | !! - No learnable parameters (pass-through layer) | ||
| 11 | !! | ||
| 12 | !! Properties: | ||
| 13 | !! - First layer in any network architecture | ||
| 14 | !! - Defines expected input shape for subsequent layers | ||
| 15 | !! - Supports multiple input sources in multi-input networks | ||
| 16 | use coreutils, only: real32, stop_program | ||
| 17 | use athena__base_layer, only: base_layer_type | ||
| 18 | use graphstruc, only: graph_type | ||
| 19 | use athena__misc_types, only: & | ||
| 20 | onnx_node_type, onnx_initialiser_type, onnx_tensor_type | ||
| 21 | use diffstruc, only: array_type | ||
| 22 | implicit none | ||
| 23 | |||
| 24 | |||
| 25 | private | ||
| 26 | |||
| 27 | public :: input_layer_type | ||
| 28 | public :: read_input_layer, create_from_onnx_input_layer | ||
| 29 | |||
| 30 | |||
| 31 | type, extends(base_layer_type) :: input_layer_type | ||
| 32 | !! Type for an input layer | ||
| 33 | integer :: index = 1 | ||
| 34 | !! Index of the layer | ||
| 35 | integer :: num_outputs | ||
| 36 | !! Number of outputs | ||
| 37 | contains | ||
| 38 | procedure, pass(this) :: set_hyperparams => set_hyperparams_input | ||
| 39 | !! Set hyperparameters | ||
| 40 | procedure, pass(this) :: init => init_input | ||
| 41 | !! Initialise layer | ||
| 42 | procedure, pass(this) :: print_to_unit => print_to_unit_input | ||
| 43 | !! Print layer to unit | ||
| 44 | procedure, pass(this) :: read => read_input | ||
| 45 | !! Read layer from file | ||
| 46 | procedure, pass(this) :: set_input_real | ||
| 47 | !! Set input values | ||
| 48 | procedure, pass(this) :: set_input_graph | ||
| 49 | !! Set input values | ||
| 50 | generic :: set => set_input_real, set_input_graph | ||
| 51 | !! Generic interface for setting input values | ||
| 52 | procedure, pass(this) :: build_from_onnx => build_from_onnx_input | ||
| 53 | !! Build fully connected layer from ONNX node and initialiser | ||
| 54 | |||
| 55 | procedure, pass(this) :: forward => forward_input | ||
| 56 | !! Forward propagation derived type handler | ||
| 57 | |||
| 58 | end type input_layer_type | ||
| 59 | |||
| 60 | interface input_layer_type | ||
| 61 | !! Interface for an input layer | ||
| 62 | module function layer_setup( & | ||
| 63 | input_shape, index, use_graph_input, verbose & | ||
| 64 | ) result(layer) | ||
| 65 | !! Set up layer | ||
| 66 | integer, dimension(:), optional, intent(in) :: input_shape | ||
| 67 | !! Shape of the input data | ||
| 68 | integer, optional, intent(in) :: index | ||
| 69 | !! Index of the layer | ||
| 70 | logical, optional, intent(in) :: use_graph_input | ||
| 71 | !! Use graph input | ||
| 72 | integer, optional, intent(in) :: verbose | ||
| 73 | !! Verbosity level | ||
| 74 | type(input_layer_type) :: layer | ||
| 75 | !! Instance of the input layer | ||
| 76 | end function layer_setup | ||
| 77 | end interface input_layer_type | ||
| 78 | |||
| 79 | |||
| 80 | |||
| 81 | contains | ||
| 82 | |||
| 83 | !############################################################################### | ||
| 84 | − | module function layer_setup( & | |
| 85 | − | input_shape, index, use_graph_input, verbose & | |
| 86 | − | ) result(layer) | |
| 87 | !! Set up layer | ||
| 88 | implicit none | ||
| 89 | |||
| 90 | ! Arguments | ||
| 91 | integer, dimension(:), optional, intent(in) :: input_shape | ||
| 92 | !! Shape of the input data | ||
| 93 | integer, optional, intent(in) :: index | ||
| 94 | !! Index of the layer | ||
| 95 | logical, optional, intent(in) :: use_graph_input | ||
| 96 | !! Use graph input | ||
| 97 | integer, optional, intent(in) :: verbose | ||
| 98 | !! Verbosity level | ||
| 99 | |||
| 100 | type(input_layer_type) :: layer | ||
| 101 | !! Instance of the input layer | ||
| 102 | |||
| 103 | ! Local variables | ||
| 104 | integer :: index_ = 1 | ||
| 105 | !! Index of the layer | ||
| 106 | integer :: verbose_ = 0 | ||
| 107 | !! Verbosity level | ||
| 108 | logical :: use_graph_input_ = .false. | ||
| 109 | !! Use graph input | ||
| 110 | |||
| 111 | |||
| 112 | − | if(present(verbose)) verbose_ = verbose | |
| 113 | |||
| 114 | !--------------------------------------------------------------------------- | ||
| 115 | ! Set hyperparameters | ||
| 116 | !--------------------------------------------------------------------------- | ||
| 117 | − | if(present(index)) index_ = index | |
| 118 | − | if(present(use_graph_input)) use_graph_input_ = use_graph_input | |
| 119 | call layer%set_hyperparams( & | ||
| 120 | index = index_, & | ||
| 121 | use_graph_input = use_graph_input_, & | ||
| 122 | verbose = verbose_ & | ||
| 123 | − | ) | |
| 124 | |||
| 125 | |||
| 126 | !--------------------------------------------------------------------------- | ||
| 127 | ! Initialise layer shape | ||
| 128 | !--------------------------------------------------------------------------- | ||
| 129 | − | if(present(input_shape)) call layer%init(input_shape=input_shape) | |
| 130 | |||
| 131 | − | end function layer_setup | |
| 132 | !############################################################################### | ||
| 133 | |||
| 134 | |||
| 135 | !############################################################################### | ||
| 136 | − | subroutine set_hyperparams_input( & | |
| 137 | this, & | ||
| 138 | input_rank, & | ||
| 139 | index, & | ||
| 140 | use_graph_input, & | ||
| 141 | verbose & | ||
| 142 | ) | ||
| 143 | !! Set hyperparameters for an input layer | ||
| 144 | implicit none | ||
| 145 | |||
| 146 | ! Arguments | ||
| 147 | class(input_layer_type), intent(inout) :: this | ||
| 148 | !! Instance of the input layer | ||
| 149 | integer, optional, intent(in) :: input_rank | ||
| 150 | !! Rank of the input data | ||
| 151 | integer, optional, intent(in) :: index | ||
| 152 | !! Index of the layer | ||
| 153 | logical, optional, intent(in) :: use_graph_input | ||
| 154 | !! Use graph input | ||
| 155 | integer, optional, intent(in) :: verbose | ||
| 156 | !! Verbosity level | ||
| 157 | |||
| 158 | − | this%name = "input" | |
| 159 | − | this%type = "inpt" | |
| 160 | − | this%input_rank = 0 | |
| 161 | − | if(present(input_rank)) this%input_rank = input_rank | |
| 162 | − | this%output_rank = this%input_rank | |
| 163 | − | if(present(index)) this%index = index | |
| 164 | − | if(present(use_graph_input))then | |
| 165 | − | this%use_graph_input = use_graph_input | |
| 166 | − | this%use_graph_output = use_graph_input | |
| 167 | end if | ||
| 168 | |||
| 169 | − | end subroutine set_hyperparams_input | |
| 170 | !############################################################################### | ||
| 171 | |||
| 172 | |||
| 173 | !############################################################################### | ||
| 174 | − | subroutine init_input(this, input_shape, verbose) | |
| 175 | !! Initialise an input layer | ||
| 176 | implicit none | ||
| 177 | |||
| 178 | ! Arguments | ||
| 179 | class(input_layer_type), intent(inout) :: this | ||
| 180 | !! Instance of the input layer | ||
| 181 | integer, dimension(:), intent(in) :: input_shape | ||
| 182 | !! Shape of the input data | ||
| 183 | integer, optional, intent(in) :: verbose | ||
| 184 | !! Verbosity level | ||
| 185 | |||
| 186 | ! Local variables | ||
| 187 | integer :: verbose_ = 0 | ||
| 188 | !! Verbosity level | ||
| 189 | |||
| 190 | |||
| 191 | !--------------------------------------------------------------------------- | ||
| 192 | ! Initialise optional arguments | ||
| 193 | !--------------------------------------------------------------------------- | ||
| 194 | − | if(present(verbose)) verbose_ = verbose | |
| 195 | |||
| 196 | |||
| 197 | !--------------------------------------------------------------------------- | ||
| 198 | ! Initialise input shape | ||
| 199 | !--------------------------------------------------------------------------- | ||
| 200 | − | this%input_rank = size(input_shape, dim=1) | |
| 201 | − | this%output_rank = this%input_rank | |
| 202 | − | if(.not.allocated(this%input_shape)) call this%set_shape(input_shape) | |
| 203 | − | this%output_shape = this%input_shape | |
| 204 | − | this%num_outputs = product(this%input_shape) | |
| 205 | |||
| 206 | |||
| 207 | !--------------------------------------------------------------------------- | ||
| 208 | ! Allocate arrays | ||
| 209 | !--------------------------------------------------------------------------- | ||
| 210 | − | this%input_rank = size(this%input_shape) | |
| 211 | − | this%output_rank = this%input_rank | |
| 212 | − | if(allocated(this%output)) deallocate(this%output) | |
| 213 | − | allocate(this%output(1,1)) | |
| 214 | |||
| 215 | − | end subroutine init_input | |
| 216 | !############################################################################### | ||
| 217 | |||
| 218 | |||
| 219 | !##############################################################################! | ||
| 220 | ! * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * ! | ||
| 221 | !##############################################################################! | ||
| 222 | |||
| 223 | |||
| 224 | !############################################################################### | ||
| 225 | − | subroutine print_to_unit_input(this, unit) | |
| 226 | !! Print input layer to unit | ||
| 227 | implicit none | ||
| 228 | |||
| 229 | ! Arguments | ||
| 230 | class(input_layer_type), intent(in) :: this | ||
| 231 | !! Instance of the input layer | ||
| 232 | integer, intent(in) :: unit | ||
| 233 | !! File unit | ||
| 234 | |||
| 235 | ! Local variables | ||
| 236 | integer :: t | ||
| 237 | !! Loop index | ||
| 238 | character(100) :: fmt | ||
| 239 | !! Format string | ||
| 240 | |||
| 241 | |||
| 242 | ! Write initial parameters | ||
| 243 | !--------------------------------------------------------------------------- | ||
| 244 | − | write(unit,'(3X,"INPUT_RANK = ",I0)') this%input_rank | |
| 245 | − | write(fmt,'("(3X,""INPUT_SHAPE ="",",I0,"(1X,I0))")') size(this%input_shape) | |
| 246 | − | write(unit,fmt) this%input_shape | |
| 247 | − | write(unit,'(3X,"USE_GRAPH_INPUT = ",L1)') this%use_graph_input | |
| 248 | |||
| 249 | − | end subroutine print_to_unit_input | |
| 250 | !############################################################################### | ||
| 251 | |||
| 252 | |||
| 253 | !############################################################################### | ||
| 254 | − | subroutine read_input(this, unit, verbose) | |
| 255 | !! Read an input layer from a file | ||
| 256 | use athena__tools_infile, only: assign_val, assign_vec, get_val | ||
| 257 | use coreutils, only: to_lower, to_upper, icount | ||
| 258 | implicit none | ||
| 259 | |||
| 260 | ! Arguments | ||
| 261 | class(input_layer_type), intent(inout) :: this | ||
| 262 | !! Instance of the input layer | ||
| 263 | integer, intent(in) :: unit | ||
| 264 | !! Unit number | ||
| 265 | integer, optional, intent(in) :: verbose | ||
| 266 | !! Verbosity level | ||
| 267 | |||
| 268 | ! Local variables | ||
| 269 | integer :: verbose_ = 0 | ||
| 270 | !! Verbosity level | ||
| 271 | integer :: stat | ||
| 272 | !! File status | ||
| 273 | integer :: itmp1= 0 | ||
| 274 | !! Temporary integer | ||
| 275 | |||
| 276 | ! Local variables | ||
| 277 | integer :: input_rank = 0 | ||
| 278 | !! Rank of the input data | ||
| 279 | − | integer, dimension(:), allocatable :: input_shape | |
| 280 | !! Shape of the input data | ||
| 281 | logical :: use_graph_input = .false. | ||
| 282 | !! Use graph input | ||
| 283 | character(256) :: buffer, tag, err_msg | ||
| 284 | !! Buffer for reading lines, tag for identifying lines, error message | ||
| 285 | |||
| 286 | |||
| 287 | ! Initialise optional arguments | ||
| 288 | !--------------------------------------------------------------------------- | ||
| 289 | − | if(present(verbose)) verbose_ = verbose | |
| 290 | |||
| 291 | |||
| 292 | ! Loop over tags in layer card | ||
| 293 | !--------------------------------------------------------------------------- | ||
| 294 | − | tag_loop: do | |
| 295 | |||
| 296 | ! Check for end of file | ||
| 297 | !------------------------------------------------------------------------ | ||
| 298 | − | read(unit,'(A)',iostat=stat) buffer | |
| 299 | − | if(stat.ne.0)then | |
| 300 | write(err_msg,'("file encountered error (EoF?) before END ",A)') & | ||
| 301 | − | to_upper(this%name) | |
| 302 | − | call stop_program(err_msg) | |
| 303 | − | return | |
| 304 | end if | ||
| 305 | − | if(trim(adjustl(buffer)).eq."") cycle tag_loop | |
| 306 | |||
| 307 | ! Check for end of layer card | ||
| 308 | !------------------------------------------------------------------------ | ||
| 309 | − | if(trim(adjustl(buffer)).eq."END INPUT")then | |
| 310 | − | backspace(unit) | |
| 311 | − | exit tag_loop | |
| 312 | end if | ||
| 313 | |||
| 314 | − | tag=trim(adjustl(buffer)) | |
| 315 | − | if(scan(buffer,"=").ne.0) tag=trim(tag(:scan(tag,"=")-1)) | |
| 316 | |||
| 317 | ! Read parameters from save file | ||
| 318 | !------------------------------------------------------------------------ | ||
| 319 | − | select case(trim(tag)) | |
| 320 | case("INPUT_RANK") | ||
| 321 | − | call assign_val(buffer, input_rank, itmp1) | |
| 322 | case("INPUT_SHAPE") | ||
| 323 | − | itmp1 = icount(get_val(buffer)) | |
| 324 | − | allocate(input_shape(itmp1)) | |
| 325 | − | call assign_vec(buffer, input_shape, itmp1) | |
| 326 | case("USE_GRAPH_INPUT") | ||
| 327 | − | call assign_val(buffer, use_graph_input, itmp1) | |
| 328 | case default | ||
| 329 | ! Don't look for "e" due to scientific notation of numbers | ||
| 330 | ! ... i.e. exponent (E+00) | ||
| 331 | − | if(scan(to_lower(trim(adjustl(buffer))),& | |
| 332 | 'abcdfghijklmnopqrstuvwxyz').eq.0)then | ||
| 333 | − | cycle tag_loop | |
| 334 | − | elseif(tag(:3).eq.'END')then | |
| 335 | − | cycle tag_loop | |
| 336 | end if | ||
| 337 | write(err_msg,'("Unrecognised line in input file: ",A)') & | ||
| 338 | − | trim(adjustl(buffer)) | |
| 339 | − | call stop_program(err_msg) | |
| 340 | − | return | |
| 341 | end select | ||
| 342 | end do tag_loop | ||
| 343 | − | if(.not.allocated(input_shape))then | |
| 344 | − | write(err_msg,'("No input shape found in ",A)') to_upper(this%name) | |
| 345 | − | call stop_program(err_msg) | |
| 346 | − | return | |
| 347 | end if | ||
| 348 | |||
| 349 | |||
| 350 | ! Set hyperparameters and initialise layer | ||
| 351 | !--------------------------------------------------------------------------- | ||
| 352 | call this%set_hyperparams( & | ||
| 353 | input_rank = input_rank, & | ||
| 354 | use_graph_input = use_graph_input, & | ||
| 355 | verbose = verbose_ & | ||
| 356 | − | ) | |
| 357 | − | call this%init(input_shape = input_shape) | |
| 358 | |||
| 359 | |||
| 360 | ! Check for end of layer card | ||
| 361 | !--------------------------------------------------------------------------- | ||
| 362 | − | read(unit,'(A)') buffer | |
| 363 | − | if(trim(adjustl(buffer)).ne."END INPUT")then | |
| 364 | − | write(0,*) trim(adjustl(buffer)) | |
| 365 | − | write(err_msg,'("END ",A," not where expected")') to_upper(this%name) | |
| 366 | − | call stop_program(err_msg) | |
| 367 | − | return | |
| 368 | end if | ||
| 369 | |||
| 370 | − | end subroutine read_input | |
| 371 | !############################################################################### | ||
| 372 | |||
| 373 | |||
| 374 | !############################################################################### | ||
| 375 | − | function read_input_layer(unit, verbose) result(layer) | |
| 376 | !! Read an input layer from a file | ||
| 377 | implicit none | ||
| 378 | |||
| 379 | ! Arguments | ||
| 380 | integer, intent(in) :: unit | ||
| 381 | !! Unit number | ||
| 382 | integer, optional, intent(in) :: verbose | ||
| 383 | !! Verbosity level | ||
| 384 | class(base_layer_type), allocatable :: layer | ||
| 385 | !! Instance of the input layer | ||
| 386 | |||
| 387 | ! Local variables | ||
| 388 | integer :: verbose_ = 0 | ||
| 389 | !! Verbosity level | ||
| 390 | |||
| 391 | |||
| 392 | − | if(present(verbose)) verbose_ = verbose | |
| 393 | − | allocate(layer, source=input_layer_type()) | |
| 394 | − | call layer%read(unit, verbose=verbose_) | |
| 395 | |||
| 396 | − | end function read_input_layer | |
| 397 | !############################################################################### | ||
| 398 | |||
| 399 | |||
| 400 | !############################################################################### | ||
| 401 | − | subroutine build_from_onnx_input(this, node, initialisers, value_info, verbose ) | |
| 402 | !! Read ONNX attributes for fully connected layer | ||
| 403 | implicit none | ||
| 404 | |||
| 405 | ! Arguments | ||
| 406 | class(input_layer_type), intent(inout) :: this | ||
| 407 | !! Instance of the fully connected layer | ||
| 408 | type(onnx_node_type), intent(in) :: node | ||
| 409 | !! ONNX node information | ||
| 410 | type(onnx_initialiser_type), dimension(:), intent(in) :: initialisers | ||
| 411 | !! ONNX initialiser information | ||
| 412 | type(onnx_tensor_type), dimension(:), intent(in) :: value_info | ||
| 413 | !! ONNX value info | ||
| 414 | integer, intent(in) :: verbose | ||
| 415 | !! Verbosity level | ||
| 416 | |||
| 417 | − | end subroutine build_from_onnx_input | |
| 418 | !############################################################################### | ||
| 419 | |||
| 420 | |||
| 421 | !############################################################################### | ||
| 422 | − | function create_from_onnx_input_layer(node, initialisers, value_info, verbose) & | |
| 423 | − | result(layer) | |
| 424 | !! Build fully connected layer from attributes and return layer | ||
| 425 | implicit none | ||
| 426 | |||
| 427 | ! Arguments | ||
| 428 | type(onnx_node_type), intent(in) :: node | ||
| 429 | !! ONNX node information | ||
| 430 | type(onnx_initialiser_type), dimension(:), intent(in) :: initialisers | ||
| 431 | !! ONNX initialiser information | ||
| 432 | type(onnx_tensor_type), dimension(:), intent(in) :: value_info | ||
| 433 | !! ONNX value info | ||
| 434 | integer, optional, intent(in) :: verbose | ||
| 435 | !! Verbosity level | ||
| 436 | class(base_layer_type), allocatable :: layer | ||
| 437 | !! Instance of the 2D convolutional layer | ||
| 438 | |||
| 439 | ! Local variables | ||
| 440 | integer :: verbose_ = 0 | ||
| 441 | !! Verbosity level | ||
| 442 | |||
| 443 | − | if(present(verbose)) verbose_ = verbose | |
| 444 | − | allocate(layer, source=input_layer_type()) | |
| 445 | − | call layer%build_from_onnx(node, initialisers, value_info, verbose=verbose_) | |
| 446 | |||
| 447 | − | end function create_from_onnx_input_layer | |
| 448 | !############################################################################### | ||
| 449 | |||
| 450 | |||
| 451 | !##############################################################################! | ||
| 452 | ! * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * ! | ||
| 453 | !##############################################################################! | ||
| 454 | |||
| 455 | |||
| 456 | !############################################################################### | ||
| 457 | − | subroutine forward_input(this, input) | |
| 458 | !! Forward propagation for an input layer | ||
| 459 | implicit none | ||
| 460 | |||
| 461 | ! Arguments | ||
| 462 | class(input_layer_type), intent(inout) :: this | ||
| 463 | !! Instance of the input layer | ||
| 464 | class(array_type), dimension(:,:), intent(in) :: input | ||
| 465 | !! Input data | ||
| 466 | |||
| 467 | ! Local variables | ||
| 468 | integer :: i, j | ||
| 469 | !! Loop indices | ||
| 470 | |||
| 471 | − | if(allocated(this%output))then | |
| 472 | − | if(any(shape(this%output).ne.shape(input)))then | |
| 473 | − | deallocate(this%output) | |
| 474 | − | allocate(this%output(size(input,1),size(input,2))) | |
| 475 | end if | ||
| 476 | else | ||
| 477 | − | allocate(this%output(size(input,1),size(input,2))) | |
| 478 | end if | ||
| 479 | |||
| 480 | − | do i = 1, size(input, 1) | |
| 481 | − | do j = 1, size(input, 2) | |
| 482 | − | if(.not.input(i,j)%allocated)then | |
| 483 | − | call stop_program('Input to input layer not allocated') | |
| 484 | − | return | |
| 485 | end if | ||
| 486 | − | call this%output(i,j)%assign_shallow( input(i,j) ) | |
| 487 | − | this%output(i,j)%is_temporary = .false. | |
| 488 | end do | ||
| 489 | end do | ||
| 490 | |||
| 491 | end subroutine forward_input | ||
| 492 | !############################################################################### | ||
| 493 | |||
| 494 | |||
| 495 | !############################################################################### | ||
| 496 | − | pure subroutine set_input_real(this, input) | |
| 497 | !! Set input values for an input layer | ||
| 498 | implicit none | ||
| 499 | |||
| 500 | ! Arguments | ||
| 501 | class(input_layer_type), intent(inout) :: this | ||
| 502 | !! Instance of the input layer | ||
| 503 | real(real32), dimension(..), intent(in) :: input | ||
| 504 | !! Input data | ||
| 505 | |||
| 506 | − | call this%output(1,1)%set( input ) | |
| 507 | − | this%output(1,1)%is_temporary = .false. | |
| 508 | |||
| 509 | − | end subroutine set_input_real | |
| 510 | !------------------------------------------------------------------------------- | ||
| 511 | − | subroutine set_input_graph(this, input) | |
| 512 | !! Set input values for an input layer | ||
| 513 | implicit none | ||
| 514 | |||
| 515 | ! Arguments | ||
| 516 | class(input_layer_type), intent(inout) :: this | ||
| 517 | !! Instance of the input layer | ||
| 518 | type(graph_type), dimension(:), intent(in) :: input | ||
| 519 | !! Input data | ||
| 520 | |||
| 521 | integer :: s | ||
| 522 | |||
| 523 | − | if(allocated(this%output))then | |
| 524 | − | if(any(shape(this%output).ne.[2,size(input)]))then | |
| 525 | − | deallocate(this%output) | |
| 526 | − | allocate(this%output(2,size(input))) | |
| 527 | end if | ||
| 528 | else | ||
| 529 | − | allocate(this%output(2,size(input))) | |
| 530 | end if | ||
| 531 | |||
| 532 | − | do s = 1, size(input) | |
| 533 | − | if(this%output(1,s)%allocated) call this%output(1,s)%deallocate() | |
| 534 | − | if(this%output(2,s)%allocated) call this%output(2,s)%deallocate() | |
| 535 | − | call this%output(1,s)%allocate( & | |
| 536 | − | array_shape = [ & | |
| 537 | − | input(s)%num_vertex_features, input(s)%num_vertices & | |
| 538 | ] & | ||
| 539 | − | ) | |
| 540 | − | call this%output(1,s)%zero_grad() | |
| 541 | − | call this%output(1,s)%set_requires_grad(.false.) | |
| 542 | − | call this%output(1,s)%set( input(s)%vertex_features ) | |
| 543 | − | this%output(1,s)%is_temporary = .false. | |
| 544 | − | if(input(s)%num_edge_features.le.0) cycle | |
| 545 | − | call this%output(2,s)%allocate( & | |
| 546 | − | array_shape = [ & | |
| 547 | − | input(s)%num_edge_features, input(s)%num_edges & | |
| 548 | ] & | ||
| 549 | − | ) | |
| 550 | − | call this%output(2,s)%zero_grad() | |
| 551 | − | call this%output(2,s)%set_requires_grad(.false.) | |
| 552 | − | call this%output(2,s)%set( input(s)%edge_features ) | |
| 553 | − | this%output(2,s)%is_temporary = .false. | |
| 554 | end do | ||
| 555 | |||
| 556 | − | end subroutine set_input_graph | |
| 557 | !############################################################################### | ||
| 558 | |||
| 559 | − | end module athena__input_layer | |
| 560 |