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/*************************************************************************************
* Copyright (c) 2015, Advanced Micro Devices, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation and/or
* other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
* IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
* INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA,
* OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
* WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
**************************************************************************************/
__kernel void kernel_channel_max(const int num, const int channels,
const int spatial_dim, __global const T* data, __global T* out) {
int index = get_global_id(0);
if(index < num * spatial_dim) {
int n = index / spatial_dim;
int s = index % spatial_dim;
T maxval = -FLT_MAX;
for (int c = 0; c < channels; ++c) {
maxval = max(data[(n * channels + c) * spatial_dim + s], maxval);
}
out[index] = maxval;
}
}
__kernel void kernel_channel_subtract(const int count,
const int num, const int channels,
const int spatial_dim, __global const T* channel_max, __global T* data) {
int index = get_global_id(0);
if(index < count) {
int n = index / channels / spatial_dim;
int s = index % spatial_dim;
data[index] -= channel_max[n * spatial_dim + s];
}
}
__kernel void kernel_channel_sum(const int num, const int channels,
const int spatial_dim, __global const T* data, __global T* channel_sum) {
int index = get_global_id(0);
if(index < num * spatial_dim) {
int n = index / spatial_dim;
int s = index % spatial_dim;
T sum = 0;
for (int c = 0; c < channels; ++c) {
sum += data[(n * channels + c) * spatial_dim + s];
}
channel_sum[index] = sum;
}
}
__kernel void kernel_channel_div(const int count,
const int num, const int channels,
const int spatial_dim, __global const T* channel_sum, __global T* data) {
int index = get_global_id(0);
if(index < count) {
int n = index / channels / spatial_dim;
int s = index % spatial_dim;
T v = data[index] / channel_sum[n * spatial_dim + s];
#ifdef LOG_SOFTMAX
v = log(v);
#endif
data[index] = v;
}
}