COMPMID-452 CL Generic Depthwise Convolution implementation.
Change-Id: I115e48fe6ce5e281f3791aa5d80fdc754cdd2b5e
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/85082
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
diff --git a/src/core/CL/cl_kernels/gemv.cl b/src/core/CL/cl_kernels/gemv.cl
new file mode 100644
index 0000000..76128f7
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+++ b/src/core/CL/cl_kernels/gemv.cl
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+/*
+ * Copyright (c) 2017 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.
+ */
+#include "helpers.h"
+
+/** This kernel applies dot product to each plane on the input tensor and the corrispective column of the reshaped weight tensor.
+ *
+ * @note Datatype and source width and height should be given as a preprocessor argument using -DDATA_TYPE=type, -DSRC_WIDTH=width and -DSRC_HEIGHT=height. e.g. -DDATA_TYPE=short
+ *
+ * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32
+ * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes)
+ * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes)
+ * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)
+ * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor
+ * @param[out] weights_ptr Pointer to the weights tensor. Same as @p src_ptr
+ * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes)
+ * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes)
+ * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor
+ * @param[out] dst_ptr Pointer to the destination tensor. Same as @p src_ptr
+ * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)
+ * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
+ */
+__kernel void gemm_mv(TENSOR3D_DECLARATION(src), IMAGE_DECLARATION(weights), VECTOR_DECLARATION(dst))
+{
+ Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src);
+
+ int y = get_global_id(1) * 4;
+ int z = get_global_id(2);
+
+ __global uchar *current_weights = weights_ptr + weights_offset_first_element_in_bytes + z * weights_stride_y;
+ __global uchar *input_ptr = src.ptr;
+
+ DATA_TYPE acc0 = (DATA_TYPE)0;
+ DATA_TYPE acc1 = (DATA_TYPE)0;
+ DATA_TYPE acc2 = (DATA_TYPE)0;
+ DATA_TYPE acc3 = (DATA_TYPE)0;
+
+ // This kernel handle 4 rows in per thread so that it can reuse the weights
+ for(int i = 0; i < SRC_WIDTH; i += 4)
+ {
+ VEC_DATA_TYPE(DATA_TYPE, 4)
+ weights = vload4(0, (__global DATA_TYPE *)(current_weights + i * weights_stride_x));
+
+ int4 offset = (int4)i * (int4)src_stride_x + (int4)(0, 1, 2, 3) * (int4)src_stride_y;
+
+ VEC_DATA_TYPE(DATA_TYPE, 4)
+ tmp0 = vload4(0, (__global DATA_TYPE *)(input_ptr + offset.s0));
+ VEC_DATA_TYPE(DATA_TYPE, 4)
+ tmp1 = vload4(0, (__global DATA_TYPE *)(input_ptr + offset.s1));
+ VEC_DATA_TYPE(DATA_TYPE, 4)
+ tmp2 = vload4(0, (__global DATA_TYPE *)(input_ptr + offset.s2));
+ VEC_DATA_TYPE(DATA_TYPE, 4)
+ tmp3 = vload4(0, (__global DATA_TYPE *)(input_ptr + offset.s3));
+
+ acc0 += dot(weights, tmp0);
+ acc1 += dot(weights, tmp1);
+ acc2 += dot(weights, tmp2);
+ acc3 += dot(weights, tmp3);
+ }
+
+ __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + (y + z * SRC_HEIGHT) * dst_stride_x;
+
+ int rows_left = SRC_HEIGHT - (y + 4);
+
+ // This if check is used to handle the last few rows when it can't be divided by the four
+ if(rows_left >= 0)
+ {
+ VEC_DATA_TYPE(DATA_TYPE, 4)
+ out = (VEC_DATA_TYPE(DATA_TYPE, 4))(acc0, acc1, acc2, acc3);
+ vstore4(out, 0, (__global DATA_TYPE *)output_ptr);
+ }
+ else
+ {
+ switch(rows_left)
+ {
+ case -1: // three rows left; one is padding
+ *((__global DATA_TYPE *)(output_ptr + 2 * dst_stride_x)) = acc2;
+ case -2: // two rows left; two are padding
+ *((__global DATA_TYPE *)(output_ptr + 1 * dst_stride_x)) = acc1;
+ case -3: // one row left; three are padding
+ *((__global DATA_TYPE *)(output_ptr + 0 * dst_stride_x)) = acc0;
+ break;
+ }
+ }
+}