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#ifndef __OPENCL_VERSION__
#include "header.cl"
#endif
__kernel void TEMPLATE(merge_copy_forward_stack, Dtype)(const int_tp nthreads,
const int_tp dims,
__global const Dtype* bottom_a,
const int_tp forward_a,
__global const Dtype* bottom_b,
const int_tp forward_b,
__global Dtype* top,
const int_tp num,
const int_tp channels_a,
const int_tp channels_b,
__global const int_tp* shape_a,
__global const int_tp* shape_b) {
int_tp pad[6];
int_tp tmp_idx[6];
int_tp size_a = 1;
int_tp size_b = 1;
for (int_tp i = 0; i < dims; ++i) {
pad[i] = (shape_b[i] - shape_a[i]) / 2;
size_a *= shape_a[i];
size_b *= shape_b[i];
}
for (int_tp index = get_global_id(0); index < nthreads;
index += get_global_size(0)) {
int_tp batch_id = index / ((channels_a + channels_b) * size_a);
int_tp bottom_id = ((index - batch_id * (channels_a + channels_b) * size_a)
/ (channels_a * size_a)) % 2;
int_tp counter = index;
for (int_tp i = dims - 1; i >= 0; --i) {
tmp_idx[i] = counter % shape_a[i];
counter /= shape_a[i];
}
if (bottom_id == 0) {
int_tp channel_id = (index / size_a) % channels_a;
int_tp aidx = batch_id * channels_a + channel_id;
for (int_tp i = 0; i < dims; ++i) {
aidx *= shape_a[i];
aidx += tmp_idx[i];
}
top[index] = (forward_a == 1) ? bottom_a[aidx] : 0;
} else {
int_tp channel_id = (index / size_a) % channels_b;
int_tp bidx = (batch_id * channels_b + channel_id) * size_b;
int_tp btemp = 1;
for (int_tp i = dims - 1; i >= 0; --i) {
bidx += btemp * (tmp_idx[i] + pad[i]);
btemp *= shape_b[i];
}
top[index] = (forward_b == 1) ? bottom_b[bidx] : 0;
}
}
}
__kernel void TEMPLATE(merge_copy_backward_stack,Dtype)(const int_tp nthreads,
const int_tp dims,
__global Dtype* bottom_a,
const int_tp backward_a,
__global Dtype* bottom_b,
const int_tp backward_b,
__global const Dtype* top,
const int_tp num,
const int_tp channels_a,
const int_tp channels_b,
__global const int_tp* shape_a,
__global const int_tp* shape_b) {
int_tp pad[6];
int_tp tmp_idx[6];
int_tp size_a = 1;
int_tp size_b = 1;
for (int_tp i = 0; i < dims; ++i) {
pad[i] = (shape_b[i] - shape_a[i]) / 2;
size_a *= shape_a[i];
size_b *= shape_b[i];
}
for (int_tp index = get_global_id(0); index < nthreads; index +=
get_global_size(0)) {
int_tp batch_id = index / ((channels_a + channels_b) * size_a);
int_tp bottom_id = ((index - batch_id * (channels_a + channels_b) * size_a)
/ (channels_a * size_a)) % 2;
int_tp counter = index;
for (int_tp i = dims - 1; i >= 0; --i) {
tmp_idx[i] = counter % shape_a[i];
counter /= shape_a[i];
}
if (bottom_id == 0) {
int_tp channel_id = (index / size_a) % channels_a;
int_tp aidx = batch_id * channels_a + channel_id;
for (int_tp i = 0; i < dims; ++i) {
aidx *= shape_a[i];
aidx += tmp_idx[i];
}
bottom_a[aidx] = (backward_a == 1) ? top[index] : 0;
} else {
int_tp channel_id = (index / size_a) % channels_b;
int_tp bidx = (batch_id * channels_b + channel_id) * size_b;
int_tp btemp = 1;
for (int_tp i = dims - 1; i >= 0; --i) {
bidx += btemp * (tmp_idx[i] + pad[i]);
btemp *= shape_b[i];
}
bottom_b[bidx] = (backward_b == 1) ? top[index] : 0;
}
}
}
__kernel void TEMPLATE(merge_copy_forward_add, Dtype)(const int_tp nthreads,
const int_tp dims,
__global const Dtype* bottom_a,
const int_tp forward_a,
__global const Dtype* bottom_b,
const int_tp forward_b,
__global Dtype* top,
const int_tp num,
const int_tp channels,
__global const int_tp* shape_a,
__global const int_tp* shape_b) {
int_tp pad[6];
int_tp tmp_idx[6];
int_tp size_a = 1;
int_tp size_b = 1;
for (int_tp i = 0; i < dims; ++i) {
pad[i] = (shape_b[i] - shape_a[i]) / 2;
size_a *= shape_a[i];
size_b *= shape_b[i];
}
for (int_tp index = get_global_id(0); index < nthreads; index +=
get_global_size(0)) {
int_tp batch_id = index / (channels * size_a);
int_tp counter = index;
for (int_tp i = dims - 1; i >= 0; --i) {
tmp_idx[i] = counter % shape_a[i];
counter /= shape_a[i];
}
top[index] = 0;
int_tp channel_id = (index / size_a) % channels;
int_tp aidx = batch_id * channels + channel_id;
for (int_tp i = 0; i < dims; ++i) {
aidx *= shape_a[i];
aidx += tmp_idx[i];
}
top[index] = forward_a ? top[index] + bottom_a[aidx] : top[index];
int_tp bidx = (batch_id * channels + channel_id) * size_b;
int_tp btemp = 1;
for (int_tp i = dims - 1; i >= 0; --i) {
bidx += btemp * (tmp_idx[i] + pad[i]);
btemp *= shape_b[i];
}
top[index] = forward_b ? top[index] + bottom_b[bidx] : top[index];
}
}
__kernel void TEMPLATE(merge_copy_backward_add,Dtype)(const int_tp nthreads,
const int_tp dims,
__global Dtype* bottom_a,
const int_tp backward_a,
__global Dtype* bottom_b,
const int_tp backward_b,
__global const Dtype* top,
const int_tp num,
const int_tp channels,
__global const int_tp* shape_a,
__global const int_tp* shape_b) {
int_tp pad[6];
int_tp tmp_idx[6];
int_tp size_a = 1;
int_tp size_b = 1;
for (int_tp i = 0; i < dims; ++i) {
pad[i] = (shape_b[i] - shape_a[i]) / 2;
size_a *= shape_a[i];
size_b *= shape_b[i];
}
for (int_tp index = get_global_id(0); index < nthreads; index +=
get_global_size(0)) {
int_tp batch_id = index / (channels * size_a);
int_tp counter = index;
for (int_tp i = dims - 1; i >= 0; --i) {
tmp_idx[i] = counter % shape_a[i];
counter /= shape_a[i];
}
int_tp channel_id = (index / size_a) % channels;
int_tp aidx = batch_id * channels + channel_id;
for (int_tp i = 0; i < dims; ++i) {
aidx *= shape_a[i];
aidx += tmp_idx[i];
}
bottom_a[aidx] = backward_a ? top[index] : 0;
int_tp bidx = (batch_id * channels + channel_id) * size_b;
int_tp btemp = 1;
for (int_tp i = dims - 1; i >= 0; --i) {
bidx += btemp * (tmp_idx[i] + pad[i]);
btemp *= shape_b[i];
}
bottom_b[bidx] = backward_b ? top[index] : 0;
}
}
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