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authorGiorgio Arena <giorgio.arena@arm.com>2021-04-16 17:03:39 +0100
committerGiorgio Arena <giorgio.arena@arm.com>2021-04-20 09:26:59 +0000
commitada6cbc057ff725e57d301a99a1816ce602485b9 (patch)
treef869994cb2b061de0bc4731d720336413b81d32a /src/core/CL/cl_kernels/pixelwise_mul_float.cl
parent031d6a97de79fc3ca3eb6fca1611f03aa9b5893b (diff)
downloadComputeLibrary-ada6cbc057ff725e57d301a99a1816ce602485b9.tar.gz
Remove OpenCL padding: CLPixelWiseMultiplicationKernel
- Change kernel's vec_size to 16 / sizeof(output) - Change ICLKernel.cpp to handle broadcast without padding Resolve COMPMID-3913 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: I03e884b250ef5784dc109bff8cf2c96b345d119f Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5450 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'src/core/CL/cl_kernels/pixelwise_mul_float.cl')
-rw-r--r--src/core/CL/cl_kernels/pixelwise_mul_float.cl37
1 files changed, 20 insertions, 17 deletions
diff --git a/src/core/CL/cl_kernels/pixelwise_mul_float.cl b/src/core/CL/cl_kernels/pixelwise_mul_float.cl
index 845e1c9860..0016775893 100644
--- a/src/core/CL/cl_kernels/pixelwise_mul_float.cl
+++ b/src/core/CL/cl_kernels/pixelwise_mul_float.cl
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2016-2020 Arm Limited.
+ * Copyright (c) 2016-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -36,6 +36,10 @@
#include "activation_float_helpers.h"
#endif // defined(ACTIVATION_TYPE)
+#define VEC_ACC_TYPE VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE_OUT)
+#define VEC_OUT_TYPE VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE_OUT)
+#define VEC_FLOAT VEC_DATA_TYPE(float, VEC_SIZE_OUT)
+
/** Performs a pixelwise multiplication with float scale of either integer or float inputs.
*
* @attention The inputs and output data types need to be passed at compile time using -DDATA_TYPE_IN1, -DDATA_TYPE_IN2 and -DDATA_TYPE_OUT:
@@ -77,31 +81,30 @@ __kernel void pixelwise_mul_float(
const float scale)
{
// Get pixels pointer
- Tensor3D in1 = CONVERT_TO_TENSOR3D_STRUCT(in1);
- Tensor3D in2 = CONVERT_TO_TENSOR3D_STRUCT(in2);
- Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(out);
+ size_t x = max((int)(get_global_id(0) * VEC_SIZE_OUT - (VEC_SIZE_OUT - VEC_SIZE_LEFTOVER) % VEC_SIZE_OUT), 0);
+ size_t y = get_global_id(1);
+ size_t z = get_global_id(2);
+
+ __global uchar *in1_addr = in1_ptr + in1_offset_first_element_in_bytes + x * in1_stride_x + y * in1_stride_y + z * in1_stride_z;
+ __global uchar *in2_addr = in2_ptr + in2_offset_first_element_in_bytes + x * in2_stride_x + y * in2_stride_y + z * in2_stride_z;
+ __global uchar *out_addr = out_ptr + out_offset_first_element_in_bytes + x * out_stride_x + y * out_stride_y + z * out_stride_z;
// Load data
- VEC_DATA_TYPE(ACC_DATA_TYPE, 16)
- in1_data = CONVERT(vload16(0, (__global DATA_TYPE_IN1 *)in1.ptr), VEC_DATA_TYPE(ACC_DATA_TYPE, 16));
- VEC_DATA_TYPE(ACC_DATA_TYPE, 16)
- in2_data = CONVERT(vload16(0, (__global DATA_TYPE_IN2 *)in2.ptr), VEC_DATA_TYPE(ACC_DATA_TYPE, 16));
+ VEC_ACC_TYPE in1_data = CONVERT((VEC_DATA_TYPE(DATA_TYPE_IN1, VEC_SIZE_OUT))(VLOAD(VEC_SIZE_IN1)(0, (__global DATA_TYPE_IN1 *)in1_addr)), VEC_ACC_TYPE);
+ VEC_ACC_TYPE in2_data = CONVERT((VEC_DATA_TYPE(DATA_TYPE_IN2, VEC_SIZE_OUT))(VLOAD(VEC_SIZE_IN2)(0, (__global DATA_TYPE_IN2 *)in2_addr)), VEC_ACC_TYPE);
// Perform multiplication
#ifdef DATA_TYPE_FLOAT
- VEC_DATA_TYPE(DATA_TYPE_OUT, 16)
- res = CONVERT(in1_data * in2_data * (ACC_DATA_TYPE)scale, VEC_DATA_TYPE(DATA_TYPE_OUT, 16));
+ VEC_OUT_TYPE res0 = CONVERT(in1_data * in2_data * (ACC_DATA_TYPE)scale, VEC_OUT_TYPE);
#else /* DATA_TYPE_FLOAT */
- VEC_DATA_TYPE(DATA_TYPE_OUT, 16)
- res = CONVERT_OP_FLOAT(CONVERT_OP_FLOAT((convert_float16(in1_data * in2_data) * scale), VEC_DATA_TYPE(ACC_DATA_TYPE, 16), ROUND), VEC_DATA_TYPE(DATA_TYPE_OUT, 16), ROUND);
+ VEC_OUT_TYPE res0 = CONVERT_OP_FLOAT(CONVERT_OP_FLOAT((CONVERT(in1_data * in2_data, VEC_FLOAT) * scale), VEC_ACC_TYPE, ROUND), VEC_OUT_TYPE, ROUND);
#endif /* DATA_TYPE_FLOAT */
#if defined(ACTIVATION_TYPE)
- vstore16(ACTIVATION(ACTIVATION_TYPE, DATA_TYPE_OUT, VEC_SIZE, res, A_VAL, B_VAL), 0, (__global DATA_TYPE_OUT *)out.ptr);
-#else // defined(ACTIVATION_TYPE)
- // Store result
- vstore16(res, 0, (__global DATA_TYPE_OUT *)out.ptr);
+ res0 = ACTIVATION(ACTIVATION_TYPE, DATA_TYPE_OUT, VEC_SIZE_OUT, res0, A_VAL, B_VAL);
#endif // defined(ACTIVATION_TYPE)
+
+ STORE_VECTOR_SELECT(res, DATA_TYPE_OUT, out_addr, VEC_SIZE_OUT, VEC_SIZE_LEFTOVER, VEC_SIZE_LEFTOVER != 0 && get_global_id(0) == 0);
}
#endif /* defined(DATA_TYPE_IN1) && defined(DATA_TYPE_IN2) && defined(ACC_DATA_TYPE) && defined(DATA_TYPE_OUT) */
@@ -155,7 +158,7 @@ __kernel void pixelwise_mul_complex(
res = { vin1.x *vin2.x - vin1.y * vin2.y, vin1.x *vin2.y + vin2.x * vin1.y };
#if defined(ACTIVATION_TYPE)
- vstore2(ACTIVATION(ACTIVATION_TYPE, DATA_TYPE, VEC_SIZE, res, A_VAL, B_VAL), 0, (__global DATA_TYPE *)out.ptr);
+ vstore2(ACTIVATION(ACTIVATION_TYPE, DATA_TYPE, VEC_SIZE_OUT, res, A_VAL, B_VAL), 0, (__global DATA_TYPE *)out.ptr);
#else // defined(ACTIVATION_TYPE)
// Store result
vstore2(res, 0, (__global DATA_TYPE *)out.ptr);