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/*
* Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
layout(local_size_x = LOCAL_SIZE_X, local_size_y = LOCAL_SIZE_Y, local_size_z = LOCAL_SIZE_Z) in;
#include "helpers_cs.h"
#ifdef FUSED_ACTIVATION
#include "activation_layer_helpers_cs.h"
#endif /* FUSED_ACTIVATION */
#if defined(DATA_TYPE_FP16)
precision mediump float;
#endif // DATA_TYPE_FP16
/** This kernel performs a direct convolution to convolve the low three dimensions
*
* @note The data type must be passed at compile time using "#define DATA_TYPE_NAME". e.g. "#define DATA_TYPE_FP32"
* @note This kernel has multiple optimized direct convolution options for FP16.
* The direct convolution option must be passed at compile time using "#define PROCESS_nX_nY_nZ" e.g. "#define PROCESS_8X_1Y_1Z"
* @note The convolution stride x must be passed at compile time using "#define STRIDE_X n" e.g. "#define STRIDE_X 1"
* This OpenGL ES shader works with stride_x = 1 and 2
* @note If biases are used then "define HAS_BIAS" has to be passed at compile time
*
* @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32
* @param[in] src_attrs The attributes of the source tensor
* @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr
* @param[in] dst_attrs The attributes of the destination tensor
* @param[out] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr
* @param[in] weights_attrs The attributes of the weights tensor
* @param[in] biases_ptr Pointer to the biases tensor. Same as @p src_ptr
* @param[in] biases_attrs The attributes of the weights tensor
* @param[in] weights_stride_w Stride of the weights tensor in the 4th dimension
* @param[in] weights_depth The third dimensions of the weights tensors
*/
SHADER_PARAMS_DECLARATION
{
Tensor3DAttributes src_attrs;
Tensor3DAttributes dst_attrs;
Tensor3DAttributes weights_attrs;
#ifdef BIAS
VectorAttributes biases_attrs;
#endif /* BIAS */
uint weights_stride_w;
uint weights_depth;
};
#ifdef DATA_TYPE_FP32
TENSOR_DECLARATION(1, srcBuffer, float, src_ptr, src_shift, 2, readonly);
TENSOR_DECLARATION(2, dstBuffer, float, dst_ptr, dst_shift, 2, writeonly);
TENSOR_DECLARATION(3, weightsBuffer, float, weights_ptr, weights_shift, 2, readonly);
#ifdef BIAS
TENSOR_DECLARATION(4, biasesBuffer, float, biases_ptr, biases_shift, 2, readonly);
#endif /* BIAS */
void main()
{
ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift);
Tensor3DIterator weights_iter = CONVERT_TO_TENSOR3D_ITERATOR_NO_STEP(weights_attrs, weights_shift);
Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift);
#ifdef BIAS
VectorIterator biases_iter = CONVERT_TO_VECTOR_ITERATOR_NO_STEP(biases_attrs, biases_shift);
#endif /* BIAS */
float pixels = 0.f;
uint z_index = gl_GlobalInvocationID.z;
TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, z_index * weights_stride_w);
float temp[5];
float temp_weight[5];
for(int d = 0; d < int(weights_depth); ++d)
{
temp = VLOAD5(float[5], src_ptr, IMAGE_OFFSET(src_iter, 0, 0));
temp_weight = VLOAD5(float[5], weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 0, 0));
pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4];
temp = VLOAD5(float[5], src_ptr, IMAGE_OFFSET(src_iter, 0, 1));
temp_weight = VLOAD5(float[5], weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 1, 0));
pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4];
temp = VLOAD5(float[5], src_ptr, IMAGE_OFFSET(src_iter, 0, 2));
temp_weight = VLOAD5(float[5], weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 2, 0));
pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4];
temp = VLOAD5(float[5], src_ptr, IMAGE_OFFSET(src_iter, 0, 3));
temp_weight = VLOAD5(float[5], weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 3, 0));
pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4];
temp = VLOAD5(float[5], src_ptr, IMAGE_OFFSET(src_iter, 0, 4));
temp_weight = VLOAD5(float[5], weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 4, 0));
pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4];
TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z);
TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z);
}
#ifdef BIAS
pixels += LOAD(biases_ptr, VECTOR_OFFSET(biases_iter, z_index));
#endif /* BIAS */
#ifdef FUSED_ACTIVATION
pixels = ACT_OP(pixels);
#endif /* FUSED_ACTIVATION */
STORE_CURRENT_ITEM(dst_ptr, dst_iter, pixels);
}
#elif defined(DATA_TYPE_FP16)
// Common definitions for DATA_TYPE_FP16
#if STRIDE_X == 1
#define LOAD_SRC_AT_ROW(row) VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, row))
#define CONVOLVE1x5(src, weight) convolve1x5_stride1(src, weight)
#elif STRIDE_X == 2 /* STRIDE_X == 1 */
#define LOAD_SRC_AT_ROW(row) VLOAD3_UNPACK12_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, row))
#define CONVOLVE1x5(src, weight) convolve1x5_stride2(src, weight)
#else /* STRDIDE_X == 1 */
#error STRIDE_X larger than 2 is not supported
#endif /* STRIDE_X == 1 */
#define LOAD_WEIGHT_AT_ROW(row) VLOAD3_UNPACK6_HALF(weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, row, 0))
vec4 convolve1x5_stride1(vec4 tmp[2], vec2 w[3])
{
vec4 src0 = tmp[0];
vec4 src1 = vec4(tmp[0].yzw, tmp[1].x);
vec4 src2 = vec4(tmp[0].zw, tmp[1].xy);
vec4 src3 = vec4(tmp[0].w, tmp[1].xyz);
vec4 src4 = tmp[1];
vec4 ret = src0 * w[0].x + src1 * w[0].y + src2 * w[1].x + src3 * w[1].y + src4 * w[2].x;
return ret;
}
vec4 convolve1x5_stride2(vec4 tmp[3], vec2 w[3])
{
vec4 src0 = vec4(tmp[0].xz, tmp[1].xz);
vec4 src1 = vec4(tmp[0].yw, tmp[1].yw);
vec4 src2 = vec4(tmp[0].z, tmp[1].xz, tmp[2].x);
vec4 src3 = vec4(tmp[0].w, tmp[1].yw, tmp[2].y);
vec4 src4 = vec4(tmp[1].x, tmp[1].z, tmp[2].xz);
vec4 ret = src0 * w[0].x + src1 * w[0].y + src2 * w[1].x + src3 * w[1].y + src4 * w[2].x;
return ret;
}
#if defined(PROCESS_4X_1Y_1Z)
TENSOR_DECLARATION(1, srcBuffer, uvec2, src_ptr, src_shift, 3, readonly);
TENSOR_DECLARATION(2, dstBuffer, uvec2, dst_ptr, dst_shift, 3, writeonly);
TENSOR_DECLARATION(3, weightsBuffer, uint, weights_ptr, weights_shift, 2, readonly);
#ifdef BIAS
TENSOR_DECLARATION(4, biasesBuffer, uint, biases_ptr, biases_shift, 2, readonly);
#endif /* BIAS */
void main()
{
ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift);
Tensor3DIterator weights_iter = CONVERT_TO_TENSOR3D_ITERATOR_NO_STEP(weights_attrs, weights_shift);
Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift);
#ifdef BIAS
VectorIterator biases_iter = CONVERT_TO_VECTOR_ITERATOR_NO_STEP(biases_attrs, biases_shift);
#endif /* BIAS */
vec4 res = vec4(0);
vec2 w[3];
vec4 s[STRIDE_X + 1];
uint z_index = gl_GlobalInvocationID.z;
TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, z_index * weights_stride_w);
for(int d = 0; d < int(weights_depth); ++d)
{
for(int row = 0; row < 5; row++)
{
w = LOAD_WEIGHT_AT_ROW(row);
s = LOAD_SRC_AT_ROW(row);
res += CONVOLVE1x5(s, w);
}
TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z);
TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z);
}
#ifdef BIAS
vec2 vec2_b;
float b;
vec2_b = LOAD_UNPACK2_HALF(biases_ptr, VECTOR_OFFSET(biases_iter, z_index));
b = (z_index % uint(2) == uint(0)) ? vec2_b.x : vec2_b.y;
res += vec4(b);
#endif /* BIAS */
#ifdef FUSED_ACTIVATION
res = ACT_OP(res);
#endif /* FUSED_ACTIVATION */
STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, res);
}
#endif /* PROCESS_nX_nY_nZ */
#else /* DATA_TYPE_FP32 */
#error Data type not supported
#endif /* DATA_TYPE_FP32 */
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