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authorIsabella Gottardi <isabella.gottardi@arm.com>2018-01-31 17:49:25 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:47:18 +0000
commita527e8c0ac7a82de4618dfe6aa312d4f6ca2e485 (patch)
tree3ef79643ae071d2c0a0ac4e459e3bc530c706cc0 /src/core/CL/cl_kernels/pooling_layer.cl
parent1aede367b9ecab66dfaf6fb07f95720064afdea4 (diff)
downloadComputeLibrary-a527e8c0ac7a82de4618dfe6aa312d4f6ca2e485.tar.gz
COMPMID-828 - Add support for pool widths 4, 5 & 6 and for non square data sizes - Part 2 (CL)
Change-Id: I004906b9b1f11158fe17b4aa2640a7f4685fb929 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/118462 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/core/CL/cl_kernels/pooling_layer.cl')
-rw-r--r--src/core/CL/cl_kernels/pooling_layer.cl28
1 files changed, 14 insertions, 14 deletions
diff --git a/src/core/CL/cl_kernels/pooling_layer.cl b/src/core/CL/cl_kernels/pooling_layer.cl
index ee8ff27ab7..dae0b99908 100644
--- a/src/core/CL/cl_kernels/pooling_layer.cl
+++ b/src/core/CL/cl_kernels/pooling_layer.cl
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -183,13 +183,13 @@
res = POOL_OP(res, (VEC_DATA_TYPE(DATA_TYPE, 4))(data00.s25, data01.s03)); \
})
-DATA_TYPE calculate_avg_scale(const int pool_size, const int upper_bound_w, const int upper_bound_h,
+DATA_TYPE calculate_avg_scale(const int pool_size_x, const int pool_size_y, const int upper_bound_w, const int upper_bound_h,
const int pad_x, const int pad_y, const int stride_x, const int stride_y)
{
int start_x = get_global_id(0) * stride_x - pad_x;
int start_y = get_global_id(1) * stride_y - pad_y;
- const int end_x = min(start_x + pool_size, upper_bound_w);
- const int end_y = min(start_y + pool_size, upper_bound_h);
+ const int end_x = min(start_x + pool_size_x, upper_bound_w);
+ const int end_y = min(start_y + pool_size_y, upper_bound_h);
#if defined(EXCLUDE_PADDING)
start_x = max(0, start_x);
start_y = max(0, start_y);
@@ -249,7 +249,7 @@ __kernel void pooling_layer_2(
#if defined(POOL_AVG) || defined(POOL_L2)
// Divide by pool region in case of average or l2 pooling
- res = DIV_OP(res, calculate_avg_scale(2, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y));
+ res = DIV_OP(res, calculate_avg_scale(2, 2, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y));
#endif /* defined(POOL_AVG) || defined(POOL_L2) */
#if defined(POOL_L2)
@@ -317,7 +317,7 @@ __kernel void pooling_layer_3(
#if defined(POOL_AVG) || defined(POOL_L2)
// Divide by pool region in case of average pooling
- res = DIV_OP(res, calculate_avg_scale(3, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y));
+ res = DIV_OP(res, calculate_avg_scale(3, 3, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y));
#endif /* defined(POOL_AVG) || defined(POOL_L2) */
#if defined(POOL_L2)
@@ -403,7 +403,7 @@ __kernel void pooling_layer_optimized_3(
}
#endif // defined(POOLING3x3) && !defined(FIXED_POINT_POSITION)
-#if defined(POOL_SIZE)
+#if defined(POOL_SIZE_X) && defined(POOL_SIZE_Y)
// Set the initial value for the pooling operation accordingly with the data type
#if defined(POOL_AVG) || defined(POOL_L2)
@@ -427,7 +427,7 @@ __kernel void pooling_layer_optimized_3(
*
* @note Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are QS8/QS16/F16/F32;
* @note -DFP16 must be passed at compile time if half float data type is used
- * @note Pool size must be passed using -DPOOL_SIZE e.g. -DPOOL_SIZE=13;
+ * @note Pool sizes must be passed using -DPOOL_SIZE_X and -DPOOL_SIZE_Y e.g. -DPOOL_SIZE_X=13;
* @note In case of average pooling the following information must be passed at compile time:
* -DPOOL_AVG must be provided otherwise max pooling will be performed.
* -DMAX_WIDTH and -DMAX_HEIGHT which are the maximum accessible indeces in x and y dimensions (width + pad)
@@ -451,7 +451,7 @@ __kernel void pooling_layer_optimized_3(
* @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination image
*/
-__kernel void pooling_layer_N(
+__kernel void pooling_layer_MxN(
TENSOR3D_DECLARATION(input),
TENSOR3D_DECLARATION(output))
{
@@ -464,10 +464,10 @@ __kernel void pooling_layer_N(
DATA_TYPE sdata = INITIAL_VALUE;
// Load data
- for(int y = 0; y < POOL_SIZE; y++)
+ for(int y = 0; y < POOL_SIZE_Y; y++)
{
int x = 0;
- for(; x <= ((int)POOL_SIZE - 8); x += 8)
+ for(; x <= ((int)POOL_SIZE_X - 8); x += 8)
{
VEC_DATA_TYPE(DATA_TYPE, 8)
data0 = vload8(0, (__global DATA_TYPE *)tensor3D_offset(&input, x, y, 0));
@@ -479,7 +479,7 @@ __kernel void pooling_layer_N(
}
// Leftover
- for(; x < (int)POOL_SIZE; ++x)
+ for(; x < (int)POOL_SIZE_X; ++x)
{
DATA_TYPE data0 = *((__global DATA_TYPE *)tensor3D_offset(&input, x, y, 0));
#if defined(POOL_L2)
@@ -500,7 +500,7 @@ __kernel void pooling_layer_N(
#if defined(POOL_AVG) || defined(POOL_L2)
// Divide by pool region in case of average pooling
- res = DIV_OP(res, calculate_avg_scale(POOL_SIZE, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y));
+ res = DIV_OP(res, calculate_avg_scale(POOL_SIZE_X, POOL_SIZE_Y, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y));
#endif /* defined(POOL_AVG) || defined(POOL_L2) */
#if defined(POOL_L2)
@@ -511,4 +511,4 @@ __kernel void pooling_layer_N(
// Store result
*(__global DATA_TYPE *)output.ptr = res;
}
-#endif // defined(POOL_SIZE)
+#endif // defined(POOL_SIZE_X) && defined(POOL_SIZE_Y)