| /external/pthreadpool/src/ |
| D | threadpool-legacy.c | 11 static inline size_t divide_round_up(size_t dividend, size_t divisor) { in divide_round_up() function
124 const size_t tile_range_i = divide_round_up(range_i, tile_i); in pthreadpool_compute_3d_tiled()
125 const size_t tile_range_j = divide_round_up(range_j, tile_j); in pthreadpool_compute_3d_tiled()
126 const size_t tile_range_k = divide_round_up(range_k, tile_k); in pthreadpool_compute_3d_tiled()
211 const size_t tile_range_i = divide_round_up(range_i, tile_i); in pthreadpool_compute_4d_tiled()
212 const size_t tile_range_j = divide_round_up(range_j, tile_j); in pthreadpool_compute_4d_tiled()
213 const size_t tile_range_k = divide_round_up(range_k, tile_k); in pthreadpool_compute_4d_tiled()
214 const size_t tile_range_l = divide_round_up(range_l, tile_l); in pthreadpool_compute_4d_tiled()
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| D | threadpool-pthreads.c | 72 static inline size_t divide_round_up(size_t dividend, size_t divisor) { in divide_round_up() function
635 const size_t tile_range = divide_round_up(range, tile); in pthreadpool_parallelize_1d_tile_1d()
737 const size_t tile_range_j = divide_round_up(range_j, tile_j); in pthreadpool_parallelize_2d_tile_1d()
799 const size_t tile_range_i = divide_round_up(range_i, tile_i); in pthreadpool_parallelize_2d_tile_2d()
800 const size_t tile_range_j = divide_round_up(range_j, tile_j); in pthreadpool_parallelize_2d_tile_2d()
870 const size_t tile_range_j = divide_round_up(range_j, tile_j); in pthreadpool_parallelize_3d_tile_2d()
871 const size_t tile_range_k = divide_round_up(range_k, tile_k); in pthreadpool_parallelize_3d_tile_2d()
952 const size_t tile_range_k = divide_round_up(range_k, tile_k); in pthreadpool_parallelize_4d_tile_2d()
953 const size_t tile_range_l = divide_round_up(range_l, tile_l); in pthreadpool_parallelize_4d_tile_2d()
1043 const size_t tile_range_l = divide_round_up(range_l, tile_l); in pthreadpool_parallelize_5d_tile_2d()
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| /external/XNNPACK/src/ |
| D | deconvolution-nhwc.c | 216 const size_t subkernel_height = divide_round_up(kernel_height - offset_y, stride_height); in xnn_create_deconvolution2d_nhwc_q8()
217 const size_t subkernel_width = divide_round_up(kernel_width - offset_x, stride_width); in xnn_create_deconvolution2d_nhwc_q8()
465 const size_t subkernel_height = divide_round_up(kernel_height - offset_y, stride_height); in xnn_create_deconvolution2d_nhwc_f32()
466 const size_t subkernel_width = divide_round_up(kernel_width - offset_x, stride_width); in xnn_create_deconvolution2d_nhwc_f32()
622 const size_t num_other_tiles = groups * batch_size * divide_round_up(output_size, mr); in setup_conv_path()
624 …const size_t max_nc = divide_round_up(group_output_channels * num_other_tiles, num_threads * targe… in setup_conv_path()
626 nc = min(nc, divide_round_up(nc, max_nc * nr) * nr); in setup_conv_path()
679 …sizeof(void*) * kernel_size * output_height * stride_width * round_up(divide_round_up(output_width… in setup_subconv2d_path()
706 … subconvolution_params->slice_width = divide_round_up(output_width - output_x_start, stride_width); in setup_subconv2d_path()
707 …subconvolution_params->slice_height = divide_round_up(output_height - output_y_start, stride_heigh… in setup_subconv2d_path()
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| D | prelu-nc.c | 143 … const size_t max_batch_tile = divide_round_up(batch_size, num_threads * target_tiles_per_thread); in xnn_setup_prelu_nc_f32()
146 … batch_tile = min(batch_tile, divide_round_up(batch_tile, max_batch_tile * row_tile) * row_tile); in xnn_setup_prelu_nc_f32()
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| D | convolution-nhwc.c | 44 return divide_round_up(input_dimension, subsampling_dimension); in compute_output_dimension_with_tf_same_padding()
828 const size_t num_other_tiles = groups * divide_round_up(batch_output_size, mr); in setup_convolution2d_nhwc()
830 …const size_t max_nc = divide_round_up(group_output_channels * num_other_tiles, num_threads * targe… in setup_convolution2d_nhwc()
832 nc = min(nc, divide_round_up(nc, max_nc * nr) * nr); in setup_convolution2d_nhwc()
919 const size_t num_other_tiles = groups * batch_size * divide_round_up(output_size, mr); in setup_convolution2d_nhwc()
921 …const size_t max_nc = divide_round_up(group_output_channels * num_other_tiles, num_threads * targe… in setup_convolution2d_nhwc()
923 nc = min(nc, divide_round_up(nc, max_nc * nr) * nr); in setup_convolution2d_nhwc()
1028 … const size_t max_mc = divide_round_up(batch_output_size, num_threads * target_tiles_per_thread); in setup_convolution2d_nhwc()
1031 mc = min(mc, divide_round_up(mc, max_mc * mr) * mr); in setup_convolution2d_nhwc()
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| D | resize-bilinear-nhwc.c | 206 …const size_t max_output_size_tile = divide_round_up(output_size, num_threads * target_tiles_per_th… in xnn_setup_resize_bilinear2d_nhwc_f32()
211 …divide_round_up(output_size_tile, max_output_size_tile * output_size_subtile) * output_size_subtil… in xnn_setup_resize_bilinear2d_nhwc_f32()
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| D | fully-connected-nc.c | 391 const size_t num_other_tiles = divide_round_up(batch_size, mr); in setup_fully_connected_nc()
393 …const size_t max_nc = divide_round_up(output_channels * num_other_tiles, num_threads * target_tile… in setup_fully_connected_nc()
395 nc = min(nc, divide_round_up(nc, max_nc * nr) * nr); in setup_fully_connected_nc()
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| D | convolution-nchw.c | 594 const size_t max_mc = divide_round_up(input_size, num_threads * target_tiles_per_thread); in setup_convolution2d_nchw()
596 mc = min(mc, divide_round_up(mc, max_mc * mr) * mr); in setup_convolution2d_nchw()
640 …const size_t max_output_height_slice = divide_round_up(output_height, num_threads * target_tiles_p… in setup_convolution2d_nchw()
643 …divide_round_up(output_height_slice, max_output_height_slice * output_height_tile) * output_height… in setup_convolution2d_nchw()
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| D | indirection.c | 215 … const size_t sliced_output_width = divide_round_up(output_width - output_x_start, stride_width); in xnn_indirection_init_subconv2d()
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| /external/XNNPACK/src/xnnpack/ |
| D | math.h | 30 inline static size_t divide_round_up(size_t n, size_t q) { in divide_round_up() function
35 return divide_round_up(n, q) * q; in round_up()
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| D | pack.h | 243 …const int32_t boff = (int32_t) divide_round_up(kh - oy, sh) * (int32_t) divide_round_up(kw - ox, s… in xnn_pack_q8_deconv_goki_w()
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