| Line | Branch | Exec | Source |
|---|---|---|---|
| 1 | !!!############################################################################# | ||
| 2 | !!! Code written by Ned Thaddeus Taylor | ||
| 3 | !!! Code part of the ATHENA library - a feedforward neural network library | ||
| 4 | !!!############################################################################# | ||
| 5 | !!! module contains implementation of a 2D dropblock layer | ||
| 6 | !!!############################################################################# | ||
| 7 | !!! DropBlock reference: https://arxiv.org/pdf/1810.12890.pdf | ||
| 8 | !!!############################################################################# | ||
| 9 | module dropblock2d_layer | ||
| 10 | use constants, only: real12 | ||
| 11 | use base_layer, only: drop_layer_type | ||
| 12 | implicit none | ||
| 13 | |||
| 14 | |||
| 15 | type, extends(drop_layer_type) :: dropblock2d_layer_type | ||
| 16 | !! keep_prob -- typical = 0.75-0.95 | ||
| 17 | !! block_size -- width of block to drop (typical = 5) | ||
| 18 | !! gamma -- number of activation units to drop | ||
| 19 | integer :: block_size, half | ||
| 20 | real(real12) :: gamma | ||
| 21 | integer :: num_channels | ||
| 22 | logical, allocatable, dimension(:,:) :: mask | ||
| 23 | real(real12), allocatable, dimension(:,:,:,:) :: output | ||
| 24 | real(real12), allocatable, dimension(:,:,:,:) :: di ! gradient of input (i.e. delta) | ||
| 25 | contains | ||
| 26 | procedure, pass(this) :: get_output => get_output_dropblock2d | ||
| 27 | procedure, pass(this) :: init => init_dropblock2d | ||
| 28 | procedure, pass(this) :: set_batch_size => set_batch_size_dropblock2d | ||
| 29 | procedure, pass(this) :: print => print_dropblock2d | ||
| 30 | procedure, pass(this) :: forward => forward_rank | ||
| 31 | procedure, pass(this) :: backward => backward_rank | ||
| 32 | procedure, private, pass(this) :: forward_4d | ||
| 33 | procedure, private, pass(this) :: backward_4d | ||
| 34 | procedure, pass(this) :: generate_mask => generate_bernoulli_mask | ||
| 35 | end type dropblock2d_layer_type | ||
| 36 | |||
| 37 | |||
| 38 | interface dropblock2d_layer_type | ||
| 39 | module function layer_setup( & | ||
| 40 | rate, block_size, & | ||
| 41 | input_shape, batch_size) result(layer) | ||
| 42 | real(real12), intent(in) :: rate | ||
| 43 | integer, intent(in) :: block_size | ||
| 44 | integer, dimension(:), optional, intent(in) :: input_shape | ||
| 45 | integer, optional, intent(in) :: batch_size | ||
| 46 | type(dropblock2d_layer_type) :: layer | ||
| 47 | end function layer_setup | ||
| 48 | end interface dropblock2d_layer_type | ||
| 49 | |||
| 50 | |||
| 51 | private | ||
| 52 | public :: dropblock2d_layer_type | ||
| 53 | public :: read_dropblock2d_layer | ||
| 54 | |||
| 55 | |||
| 56 | contains | ||
| 57 | |||
| 58 | !!!############################################################################# | ||
| 59 | !!! get layer outputs | ||
| 60 | !!!############################################################################# | ||
| 61 | 3 | pure subroutine get_output_dropblock2d(this, output) | |
| 62 | implicit none | ||
| 63 | class(dropblock2d_layer_type), intent(in) :: this | ||
| 64 | real(real12), allocatable, dimension(..), intent(out) :: output | ||
| 65 | |||
| 66 | select rank(output) | ||
| 67 | rank(1) | ||
| 68 |
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6 | output = reshape(this%output, [size(this%output)]) |
| 69 | rank(2) | ||
| 70 | output = & | ||
| 71 |
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6 | reshape(this%output, [product(this%output_shape),this%batch_size]) |
| 72 | rank(4) | ||
| 73 |
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|
131 | output = this%output |
| 74 | end select | ||
| 75 | |||
| 76 | 3 | end subroutine get_output_dropblock2d | |
| 77 | !!!############################################################################# | ||
| 78 | |||
| 79 | |||
| 80 | !!!##########################################################################!!! | ||
| 81 | !!! * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * !!! | ||
| 82 | !!!##########################################################################!!! | ||
| 83 | |||
| 84 | |||
| 85 | !!!############################################################################# | ||
| 86 | !!! forward propagation assumed rank handler | ||
| 87 | !!!############################################################################# | ||
| 88 | 1 | pure subroutine forward_rank(this, input) | |
| 89 | implicit none | ||
| 90 | class(dropblock2d_layer_type), intent(inout) :: this | ||
| 91 | real(real12), dimension(..), intent(in) :: input | ||
| 92 | |||
| 93 | select rank(input); rank(4) | ||
| 94 | 1 | call forward_4d(this, input) | |
| 95 | end select | ||
| 96 | 1 | end subroutine forward_rank | |
| 97 | !!!############################################################################# | ||
| 98 | |||
| 99 | |||
| 100 | !!!############################################################################# | ||
| 101 | !!! backward propagation assumed rank handler | ||
| 102 | !!!############################################################################# | ||
| 103 | 1 | pure subroutine backward_rank(this, input, gradient) | |
| 104 | implicit none | ||
| 105 | class(dropblock2d_layer_type), intent(inout) :: this | ||
| 106 | real(real12), dimension(..), intent(in) :: input | ||
| 107 | real(real12), dimension(..), intent(in) :: gradient | ||
| 108 | |||
| 109 | select rank(input); rank(4) | ||
| 110 | 1 | select rank(gradient); rank(4) | |
| 111 | 1 | call backward_4d(this, input, gradient) | |
| 112 | end select | ||
| 113 | end select | ||
| 114 | 1 | end subroutine backward_rank | |
| 115 | !!!############################################################################# | ||
| 116 | |||
| 117 | |||
| 118 | !!!##########################################################################!!! | ||
| 119 | !!! * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * !!! | ||
| 120 | !!!##########################################################################!!! | ||
| 121 | |||
| 122 | |||
| 123 | !!!############################################################################# | ||
| 124 | !!! set up layer | ||
| 125 | !!!############################################################################# | ||
| 126 | #if defined(GFORTRAN) | ||
| 127 | module function layer_setup( & | ||
| 128 | rate, block_size, & | ||
| 129 | input_shape, batch_size) result(layer) | ||
| 130 | implicit none | ||
| 131 | real(real12), intent(in) :: rate | ||
| 132 | integer, intent(in) :: block_size | ||
| 133 | integer, dimension(:), optional, intent(in) :: input_shape | ||
| 134 | integer, optional, intent(in) :: batch_size | ||
| 135 | |||
| 136 | type(dropblock2d_layer_type) :: layer | ||
| 137 | #else | ||
| 138 |
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3 | module procedure layer_setup |
| 139 | implicit none | ||
| 140 | #endif | ||
| 141 | |||
| 142 | |||
| 143 |
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3 | layer%name = "dropblock2d" |
| 144 | 3 | layer%input_rank = 3 | |
| 145 | !!-------------------------------------------------------------------------- | ||
| 146 | !! initialise batch size | ||
| 147 | !!-------------------------------------------------------------------------- | ||
| 148 |
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3 | if(present(batch_size)) layer%batch_size = batch_size |
| 149 | |||
| 150 | |||
| 151 | !!-------------------------------------------------------------------------- | ||
| 152 | !! initialise layer rate and block size | ||
| 153 | !!-------------------------------------------------------------------------- | ||
| 154 | 3 | layer%rate = rate | |
| 155 | 3 | layer%block_size = block_size | |
| 156 | 3 | layer%half = (layer%block_size-1)/2 | |
| 157 | |||
| 158 | |||
| 159 | !!-------------------------------------------------------------------------- | ||
| 160 | !! initialise layer shape | ||
| 161 | !!-------------------------------------------------------------------------- | ||
| 162 |
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3 | if(present(input_shape)) call layer%init(input_shape=input_shape) |
| 163 | |||
| 164 | #if defined(GFORTRAN) | ||
| 165 | end function layer_setup | ||
| 166 | #else | ||
| 167 |
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6 | end procedure layer_setup |
| 168 | #endif | ||
| 169 | !!!############################################################################# | ||
| 170 | |||
| 171 | |||
| 172 | !!!############################################################################# | ||
| 173 | !!! initialise layer | ||
| 174 | !!!############################################################################# | ||
| 175 |
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2 | subroutine init_dropblock2d(this, input_shape, batch_size, verbose) |
| 176 | implicit none | ||
| 177 | class(dropblock2d_layer_type), intent(inout) :: this | ||
| 178 | integer, dimension(:), intent(in) :: input_shape | ||
| 179 | integer, optional, intent(in) :: batch_size | ||
| 180 | integer, optional, intent(in) :: verbose | ||
| 181 | |||
| 182 | integer :: verbose_ = 0 | ||
| 183 | |||
| 184 | |||
| 185 | !!-------------------------------------------------------------------------- | ||
| 186 | !! initialise optional arguments | ||
| 187 | !!-------------------------------------------------------------------------- | ||
| 188 |
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2 | if(present(verbose)) verbose_ = verbose |
| 189 |
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2 | if(present(batch_size)) this%batch_size = batch_size |
| 190 | |||
| 191 | |||
| 192 | !!-------------------------------------------------------------------------- | ||
| 193 | !! initialise input shape | ||
| 194 | !!-------------------------------------------------------------------------- | ||
| 195 |
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2 | if(.not.allocated(this%input_shape)) call this%set_shape(input_shape) |
| 196 | |||
| 197 | |||
| 198 | !!----------------------------------------------------------------------- | ||
| 199 | !! set up number of channels, width, height | ||
| 200 | !!----------------------------------------------------------------------- | ||
| 201 |
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2 | this%num_channels = this%input_shape(3) |
| 202 |
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8 | this%output_shape = this%input_shape |
| 203 | |||
| 204 | |||
| 205 | !!----------------------------------------------------------------------- | ||
| 206 | !! set gamma | ||
| 207 | !!----------------------------------------------------------------------- | ||
| 208 | !! original paper uses keep_prob, we use drop_rate | ||
| 209 | !! drop_rate = 1 - keep_prob | ||
| 210 | this%gamma = ( this%rate/this%block_size**2._real12 ) * & | ||
| 211 | 4 | this%input_shape(1) / & | |
| 212 | 4 | (this%input_shape(1) - this%block_size + 1._real12) * & | |
| 213 | 4 | this%input_shape(2) / & | |
| 214 |
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2 | (this%input_shape(2) - this%block_size + 1._real12) |
| 215 | ✗ | allocate(this%mask( & | |
| 216 | 4 | this%input_shape(1), & | |
| 217 |
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|
86 | this%input_shape(2)), source=.true.) |
| 218 | |||
| 219 | |||
| 220 | !!----------------------------------------------------------------------- | ||
| 221 | !! generate mask | ||
| 222 | !!----------------------------------------------------------------------- | ||
| 223 | 2 | call this%generate_mask() | |
| 224 | |||
| 225 | |||
| 226 | !!-------------------------------------------------------------------------- | ||
| 227 | !! initialise batch size-dependent arrays | ||
| 228 | !!-------------------------------------------------------------------------- | ||
| 229 |
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2 | if(this%batch_size.gt.0) call this%set_batch_size(this%batch_size) |
| 230 | |||
| 231 | 2 | end subroutine init_dropblock2d | |
| 232 | !!!############################################################################# | ||
| 233 | |||
| 234 | |||
| 235 | !!!############################################################################# | ||
| 236 | !!! set batch size | ||
| 237 | !!!############################################################################# | ||
| 238 | 2 | subroutine set_batch_size_dropblock2d(this, batch_size, verbose) | |
| 239 | implicit none | ||
| 240 | class(dropblock2d_layer_type), intent(inout) :: this | ||
| 241 | integer, intent(in) :: batch_size | ||
| 242 | integer, optional, intent(in) :: verbose | ||
| 243 | |||
| 244 | integer :: verbose_ = 0 | ||
| 245 | |||
| 246 | |||
| 247 | !!-------------------------------------------------------------------------- | ||
| 248 | !! initialise optional arguments | ||
| 249 | !!-------------------------------------------------------------------------- | ||
| 250 |
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2 | if(present(verbose)) verbose_ = verbose |
| 251 | 2 | this%batch_size = batch_size | |
| 252 | |||
| 253 | |||
| 254 | !!-------------------------------------------------------------------------- | ||
| 255 | !! allocate arrays | ||
| 256 | !!-------------------------------------------------------------------------- | ||
| 257 |
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2 | if(allocated(this%input_shape))then |
| 258 |
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2 | if(allocated(this%output)) deallocate(this%output) |
| 259 | ✗ | allocate(this%output( & | |
| 260 | 4 | this%output_shape(1), & | |
| 261 | 4 | this%output_shape(2), & | |
| 262 | this%num_channels, & | ||
| 263 | this%batch_size), & | ||
| 264 |
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262 | source=0._real12) |
| 265 |
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2 | if(allocated(this%di)) deallocate(this%di) |
| 266 |
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262 | allocate(this%di, source=this%output) |
| 267 | end if | ||
| 268 | |||
| 269 | 2 | end subroutine set_batch_size_dropblock2d | |
| 270 | !!!############################################################################# | ||
| 271 | |||
| 272 | |||
| 273 | !!!############################################################################# | ||
| 274 | !!! generate bernoulli mask | ||
| 275 | !!!############################################################################# | ||
| 276 | 2 | subroutine generate_bernoulli_mask(this) | |
| 277 | implicit none | ||
| 278 | class(dropblock2d_layer_type), intent(inout) :: this | ||
| 279 | |||
| 280 | 2 | real(real12), allocatable, dimension(:,:) :: mask_real | |
| 281 | integer :: i, j | ||
| 282 | integer, dimension(2) :: ilim, jlim | ||
| 283 | |||
| 284 | |||
| 285 | !! IF seed GIVEN, INITIALISE | ||
| 286 | ! assume random number already seeded and don't need to again | ||
| 287 |
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2 | allocate(mask_real(size(this%mask,1), size(this%mask,2))) |
| 288 | 2 | call random_number(mask_real) ! Generate random values in [0..1] | |
| 289 | |||
| 290 |
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86 | this%mask = .true. !1=keep |
| 291 | |||
| 292 | !! Apply threshold to create binary mask | ||
| 293 |
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6 | do j = 1 + this%half, size(this%mask, dim=2) - this%half |
| 294 |
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14 | do i = 1 + this%half, size(this%mask, dim=1) - this%half |
| 295 |
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12 | if(mask_real(i, j).lt.this%gamma)then |
| 296 | ilim(:) = [ & | ||
| 297 | max(i - this%half, lbound(this%mask,1)), & | ||
| 298 |
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3 | min(i + this%half, ubound(this%mask,1)) ] |
| 299 | jlim(:) = [ & | ||
| 300 | max(j - this%half, lbound(this%mask,2)), & | ||
| 301 |
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3 | min(j + this%half, ubound(this%mask,2)) ] |
| 302 |
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31 | this%mask(ilim(1):ilim(2), jlim(1):jlim(2)) = .false. !0 = drop |
| 303 | end if | ||
| 304 | end do | ||
| 305 | end do | ||
| 306 | |||
| 307 |
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2 | end subroutine generate_bernoulli_mask |
| 308 | !!!############################################################################# | ||
| 309 | |||
| 310 | |||
| 311 | !!!##########################################################################!!! | ||
| 312 | !!! * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * !!! | ||
| 313 | !!!##########################################################################!!! | ||
| 314 | |||
| 315 | |||
| 316 | !!!############################################################################# | ||
| 317 | !!! print layer to file | ||
| 318 | !!!############################################################################# | ||
| 319 | ✗ | subroutine print_dropblock2d(this, file) | |
| 320 | implicit none | ||
| 321 | class(dropblock2d_layer_type), intent(in) :: this | ||
| 322 | character(*), intent(in) :: file | ||
| 323 | |||
| 324 | integer :: unit | ||
| 325 | |||
| 326 | |||
| 327 | !! open file with new unit | ||
| 328 | !!-------------------------------------------------------------------------- | ||
| 329 | ✗ | open(newunit=unit, file=trim(file), access='append') | |
| 330 | |||
| 331 | !! write convolution initial parameters | ||
| 332 | !!-------------------------------------------------------------------------- | ||
| 333 | ✗ | write(unit,'("DROPBLOCK2D")') | |
| 334 | ✗ | write(unit,'(3X,"INPUT_SHAPE = ",3(1X,I0))') this%input_shape | |
| 335 | ✗ | write(unit,'(3X,"RATE = ",F0.9)') this%rate | |
| 336 | ✗ | write(unit,'(3X,"BLOCK_SIZE = ",I0)') this%block_size | |
| 337 | ✗ | write(unit,'("END DROPBLOCK2D")') | |
| 338 | |||
| 339 | !! close unit | ||
| 340 | !!-------------------------------------------------------------------------- | ||
| 341 | ✗ | close(unit) | |
| 342 | |||
| 343 | ✗ | end subroutine print_dropblock2d | |
| 344 | !!!############################################################################# | ||
| 345 | |||
| 346 | |||
| 347 | !!!############################################################################# | ||
| 348 | !!! read layer from file | ||
| 349 | !!!############################################################################# | ||
| 350 | ✗ | function read_dropblock2d_layer(unit) result(layer) | |
| 351 | use infile_tools, only: assign_val, assign_vec | ||
| 352 | use misc, only: to_lower, icount | ||
| 353 | implicit none | ||
| 354 | integer, intent(in) :: unit | ||
| 355 | |||
| 356 | class(dropblock2d_layer_type), allocatable :: layer | ||
| 357 | |||
| 358 | integer :: stat | ||
| 359 | integer :: itmp1 | ||
| 360 | integer :: block_size | ||
| 361 | real(real12) :: rate | ||
| 362 | integer, dimension(3) :: input_shape | ||
| 363 | character(256) :: buffer, tag | ||
| 364 | |||
| 365 | |||
| 366 | !! loop over tags in layer card | ||
| 367 | ✗ | tag_loop: do | |
| 368 | |||
| 369 | !! check for end of file | ||
| 370 | ✗ | read(unit,'(A)',iostat=stat) buffer | |
| 371 | ✗ | if(stat.ne.0)then | |
| 372 | ✗ | write(0,*) "ERROR: file encountered error (EoF?) before END DROPBLOCK2D" | |
| 373 | ✗ | stop "Exiting..." | |
| 374 | end if | ||
| 375 | ✗ | if(trim(adjustl(buffer)).eq."") cycle tag_loop | |
| 376 | |||
| 377 | !! check for end of convolution card | ||
| 378 | ✗ | if(trim(adjustl(buffer)).eq."END DROPBLOCK2D")then | |
| 379 | ✗ | backspace(unit) | |
| 380 | ✗ | exit tag_loop | |
| 381 | end if | ||
| 382 | |||
| 383 | ✗ | tag=trim(adjustl(buffer)) | |
| 384 | ✗ | if(scan(buffer,"=").ne.0) tag=trim(tag(:scan(tag,"=")-1)) | |
| 385 | |||
| 386 | !! read parameters from save file | ||
| 387 | ✗ | select case(trim(tag)) | |
| 388 | case("INPUT_SHAPE") | ||
| 389 | ✗ | call assign_vec(buffer, input_shape, itmp1) | |
| 390 | case("RATE") | ||
| 391 | ✗ | call assign_val(buffer, rate, itmp1) | |
| 392 | case("BLOCK_SIZE") | ||
| 393 | ✗ | call assign_val(buffer, block_size, itmp1) | |
| 394 | case default | ||
| 395 | !! don't look for "e" due to scientific notation of numbers | ||
| 396 | !! ... i.e. exponent (E+00) | ||
| 397 | ✗ | if(scan(to_lower(trim(adjustl(buffer))),& | |
| 398 | 'abcdfghijklmnopqrstuvwxyz').eq.0)then | ||
| 399 | ✗ | cycle tag_loop | |
| 400 | ✗ | elseif(tag(:3).eq.'END')then | |
| 401 | ✗ | cycle tag_loop | |
| 402 | end if | ||
| 403 | ✗ | stop "Unrecognised line in input file: "//trim(adjustl(buffer)) | |
| 404 | end select | ||
| 405 | end do tag_loop | ||
| 406 | |||
| 407 | !! set transfer activation function | ||
| 408 | |||
| 409 | layer = dropblock2d_layer_type(rate = rate, block_size = block_size, & | ||
| 410 | ✗ | input_shape = input_shape) | |
| 411 | |||
| 412 | !! check for end of layer card | ||
| 413 | ✗ | read(unit,'(A)') buffer | |
| 414 | ✗ | if(trim(adjustl(buffer)).ne."END DROPBLOCK2D")then | |
| 415 | ✗ | write(*,*) trim(adjustl(buffer)) | |
| 416 | ✗ | stop "ERROR: END DROPBLOCK2D not where expected" | |
| 417 | end if | ||
| 418 | |||
| 419 | ✗ | end function read_dropblock2d_layer | |
| 420 | !!!############################################################################# | ||
| 421 | |||
| 422 | |||
| 423 | !!!##########################################################################!!! | ||
| 424 | !!! * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * !!! | ||
| 425 | !!!##########################################################################!!! | ||
| 426 | |||
| 427 | |||
| 428 | !!!############################################################################# | ||
| 429 | !!! forward propagation | ||
| 430 | !!!############################################################################# | ||
| 431 | 5 | pure subroutine forward_4d(this, input) | |
| 432 | implicit none | ||
| 433 | class(dropblock2d_layer_type), intent(inout) :: this | ||
| 434 |
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1 | real(real12), dimension( & |
| 435 |
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1 | this%input_shape(1), & |
| 436 | this%input_shape(2), & | ||
| 437 | this%num_channels, this%batch_size), & | ||
| 438 | intent(in) :: input | ||
| 439 | |||
| 440 | integer :: m, s | ||
| 441 | |||
| 442 | |||
| 443 | 1 | select case(this%inference) | |
| 444 | case(.true.) | ||
| 445 | !! do not perform drop operation | ||
| 446 | ✗ | this%output = input * ( 1._real12 - this%rate ) | |
| 447 | case default | ||
| 448 | !! perform the drop operation | ||
| 449 |
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1 | do concurrent(m = 1:this%num_channels, s = 1:this%batch_size) |
| 450 |
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|
131 | this%output(:,:,m,s) = merge(input(:,:,m,s), 0._real12, this%mask) |
| 451 | end do | ||
| 452 | end select | ||
| 453 | |||
| 454 | 1 | end subroutine forward_4d | |
| 455 | !!!############################################################################# | ||
| 456 | |||
| 457 | |||
| 458 | !!!############################################################################# | ||
| 459 | !!! backward propagation | ||
| 460 | !!!############################################################################# | ||
| 461 | 5 | pure subroutine backward_4d(this, input, gradient) | |
| 462 | implicit none | ||
| 463 | class(dropblock2d_layer_type), intent(inout) :: this | ||
| 464 | real(real12), dimension( & | ||
| 465 | this%input_shape(1), & | ||
| 466 | this%input_shape(2), & | ||
| 467 | this%num_channels, this%batch_size), & | ||
| 468 | intent(in) :: input | ||
| 469 | real(real12), & | ||
| 470 |
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1 | dimension(& |
| 471 |
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1 | this%output_shape(1), & |
| 472 | this%output_shape(2), & | ||
| 473 | this%num_channels, this%batch_size), & | ||
| 474 | intent(in) :: gradient | ||
| 475 | |||
| 476 | integer :: m, s | ||
| 477 | |||
| 478 | |||
| 479 | !! compute gradients for input feature map | ||
| 480 | 2 | do concurrent(m = 1:this%num_channels, s=1:this%batch_size) | |
| 481 |
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|
131 | this%di(:,:,m,s) = merge(gradient(:,:,m,s), 0._real12, this%mask) |
| 482 | end do | ||
| 483 | |||
| 484 | 1 | end subroutine backward_4d | |
| 485 | !!!############################################################################# | ||
| 486 | |||
| 487 |
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|
22 | end module dropblock2d_layer |
| 488 | !!!############################################################################# | ||
| 489 |