COMPMID-1785: Support for 4D tensor in CLFlattenLayerKernel
With this patch we are able to dispatch a single GPU job also in case of
batched-flatten
Change-Id: I755e7af29d44b24f67fa04bad3c9b7646e8deefc
diff --git a/src/core/CL/cl_kernels/flatten.cl b/src/core/CL/cl_kernels/flatten.cl
index df0f9c4..02694f7 100644
--- a/src/core/CL/cl_kernels/flatten.cl
+++ b/src/core/CL/cl_kernels/flatten.cl
@@ -23,12 +23,13 @@
*/
#include "helpers.h"
-#if defined(DATA_TYPE) && defined(SRC_WIDTH) && defined(SRC_HEIGHT)
+#if defined(DATA_TYPE) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(SRC_DEPTH)
/** This opencl kernel flattens the first 3 dimensions of the input tensor
*
* @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float
- * @note The width and height of the input tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT. e.g. -DSRC_WIDTH=24, -DSRC_HEIGHT=24
+ * @note The width, height and depth of the input tensor must be passed at compile time using -DSRC_WIDTH, -DSRC_HEIGHT and -DSRC_DEPTH. e.g. -DSRC_WIDTH=24, -DSRC_HEIGHT=24, -DSRC_DEPTH=16
+ * @note If the output has 3 dimensions, the 2nd dimension of the output tensor must be passed at compile time using -DDST_DIM1. e.g -DDST_DIM1=3
*
* @param[in] src_ptr Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
* @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes)
@@ -37,20 +38,38 @@
* @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_stride_w Stride of the source tensor in W dimension (in bytes)
+ * @param[in] src_step_w src_stride_w * 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] 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_stride_y Stride of the destination tensor in Y dimension (in bytes)
+ * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)
+ * @param[in] dst_step_z dst_stride_z * number of elements along Z 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 flatten(
- TENSOR3D_DECLARATION(src),
- VECTOR_DECLARATION(dst))
+ TENSOR4D_DECLARATION(src),
+ TENSOR3D_DECLARATION(dst))
{
- Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src);
+ Tensor4D src = CONVERT_TO_TENSOR4D_STRUCT(src, SRC_DEPTH);
- __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + (get_global_id(0) + get_global_id(1) * (int)SRC_WIDTH + get_global_id(2) * (int)(SRC_WIDTH * SRC_HEIGHT)) * sizeof(
- DATA_TYPE);
+ uint c = get_global_id(2) % SRC_DEPTH; // input feature map
+ uint b0 = get_global_id(2) / SRC_DEPTH; // batch id
+ uint b1 = 0;
+
+#if defined(DST_DIM1)
+ uint b_tmp = b0;
+ b0 = b_tmp % DST_DIM1; // batch id0
+ b1 = b_tmp / DST_DIM1; // batch id1
+#endif // defined(DST_DIM1)
+
+ __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes +
+ (get_global_id(0) + get_global_id(1) * (uint)SRC_WIDTH + c * (uint)(SRC_WIDTH * SRC_HEIGHT)) * sizeof(DATA_TYPE) +
+ b0 * dst_stride_y +
+ b1 * dst_stride_z;
*((__global DATA_TYPE *)output_ptr) = *((__global DATA_TYPE *)src.ptr);
}