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authorGian Marco Iodice <gianmarco.iodice@arm.com>2019-03-11 12:17:44 +0000
committerGian Marco Iodice <gianmarco.iodice@arm.com>2019-03-12 17:43:28 +0000
commitba5e096b8b2a9f777695844746ec3ff1ef90ade8 (patch)
tree11e3e3e1989a7379f7f244e0811ecd9ae24adae8
parentefc4a2da65d75cfa4a47998266f3a5aaa5011917 (diff)
downloadComputeLibrary-ba5e096b8b2a9f777695844746ec3ff1ef90ade8.tar.gz
COMPMID-1964: Implement CLGEMMMatrixMultiplyReshapedOnlyRHS - Not transposed
Change-Id: I6b7f7a406fcb8d64adb221a24d7983e11bcb391e Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/846 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
-rw-r--r--src/core/CL/CLKernelLibrary.cpp1
-rw-r--r--src/core/CL/cl_kernels/gemm.cl509
-rw-r--r--tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp15
3 files changed, 516 insertions, 9 deletions
diff --git a/src/core/CL/CLKernelLibrary.cpp b/src/core/CL/CLKernelLibrary.cpp
index 7476e19011..b7973efa9d 100644
--- a/src/core/CL/CLKernelLibrary.cpp
+++ b/src/core/CL/CLKernelLibrary.cpp
@@ -284,6 +284,7 @@ const std::map<std::string, std::string> CLKernelLibrary::_kernel_program_map =
{ "gemm_mm_floating_point_f32_bifrost", "gemm.cl" },
{ "gemm_mm_floating_point_f32_bifrost_1000", "gemm.cl" },
{ "gemm_mm_reshaped_lhs_nt_rhs_t", "gemm.cl" },
+ { "gemm_mm_reshaped_only_rhs_nt", "gemm.cl" },
{ "gemm_mm_reshaped_only_rhs_t", "gemm.cl" },
{ "gemm_lc_vm_f32", "gemm.cl" },
{ "gemm_transpose1xW", "gemm.cl" },
diff --git a/src/core/CL/cl_kernels/gemm.cl b/src/core/CL/cl_kernels/gemm.cl
index a245aeead3..211484440b 100644
--- a/src/core/CL/cl_kernels/gemm.cl
+++ b/src/core/CL/cl_kernels/gemm.cl
@@ -1314,10 +1314,10 @@ __kernel void gemm_mm_reshaped_only_rhs_t(IMAGE_DECLARATION(lhs),
#endif // REINTERPRET_OUTPUT_AS_3D
)
{
-// Block size
+ // Block size
#define RHS_BLOCK_SIZE ((K0) * (N0))
-// RHS offset and step X
+ // RHS offset and step X
#if defined(RHS_INTERLEAVE)
#define RHS_OFFSET_X (K0)
#define RHS_STEP_X ((K0) * (H0))
@@ -1754,6 +1754,511 @@ __kernel void gemm_mm_reshaped_only_rhs_t(IMAGE_DECLARATION(lhs),
#undef RHS_OFFSET_X
#undef RHS_STEP_X
}
+
+#define VFMA(a, b, c) \
+ ({ \
+ c = fma(a, b, c); \
+ })
+
+#if M0 == 1
+#define LD_RHS_VFMA_M0xN0(i, a, c) \
+ ({ \
+ VEC_DATA_TYPE(DATA_TYPE, N0) \
+ b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
+ })
+#elif M0 == 2 // M0 == 2
+#define LD_RHS_VFMA_M0xN0(i, a, c) \
+ ({ \
+ VEC_DATA_TYPE(DATA_TYPE, N0) \
+ b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \
+ })
+#elif M0 == 3 // M0 == 3
+#define LD_RHS_VFMA_M0xN0(i, a, c) \
+ ({ \
+ VEC_DATA_TYPE(DATA_TYPE, N0) \
+ b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \
+ })
+#elif M0 == 4 // M0 == 4
+#define LD_RHS_VFMA_M0xN0(i, a, c) \
+ ({ \
+ VEC_DATA_TYPE(DATA_TYPE, N0) \
+ b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \
+ })
+#elif M0 == 5 // M0 == 5
+#define LD_RHS_VFMA_M0xN0(i, a, c) \
+ ({ \
+ VEC_DATA_TYPE(DATA_TYPE, N0) \
+ b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \
+ })
+#elif M0 == 6 // M0 == 6
+#define LD_RHS_VFMA_M0xN0(i, a, c) \
+ ({ \
+ VEC_DATA_TYPE(DATA_TYPE, N0) \
+ b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \
+ })
+#elif M0 == 7 // M0 == 7
+#define LD_RHS_VFMA_M0xN0(i, a, c) \
+ ({ \
+ VEC_DATA_TYPE(DATA_TYPE, N0) \
+ b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##6).s##i), b, (c##6)); \
+ })
+#elif M0 == 8 // M0 == 8
+#define LD_RHS_VFMA_M0xN0(i, a, c) \
+ ({ \
+ VEC_DATA_TYPE(DATA_TYPE, N0) \
+ b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0x##i * RHS_STEP_X * sizeof(DATA_TYPE))); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##6).s##i), b, (c##6)); \
+ VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##7).s##i), b, (c##7)); \
+ })
+#else // M0 not supported
+#error "M0 not supported"
+#endif // M0 not supported
+
+/** This OpenCL kernel computes the matrix multiplication between 2 matrices.
+ * The LHS matrix is NOT reshaped
+ * The RHS is reshaped with @ref CLGEMMReshapeRHSMatrixKernel and the block K0xN0 is NOT transposed
+ *
+ * @note The block's dimensions used for reshaping the RHS matrix (N0 and K0) must be passed at compile time using -DN0 and -DK0 (i.e. -DN0=8, -DK0=4).
+ * @note The number of M0 rows to process must be passed at compile time using -DM0 (i.e. -DM0=2)
+ * @note The number of K0xN0 horizontal blocks stored on the same output row of the reshaped RHS matrix must be passed at compile time using -DH0 (i.e. -DH0=2)
+ * @note If the K0xN0 blocks in the reshaped RHS matrix have been interleaved, the option -DRHS_INTERLEAVE must passed at compile time.
+ * @note Only the following configurations of M0, N0 and K0 are currently supported:
+ * - M0 = 1, 2, 3, 4, 5, 6, 7, 8
+ * - N0 = 2, 3, 4, 8, 16
+ * - K0 = 2, 3, 4, 8, 16
+ * - H0 > 1
+ *
+ * @note In case the input or output have to be reinterpreted as a 3D tensor, the following information must be passed at compile time:
+ * -# REINTERPRET_INPUT_AS_3D: To reinterpret the input as 3D
+ * -# REINTERPRET_OUTPUT_AS_3D: To reinterpret the output as 3D
+ * -# HEIGHT_GEMM3D: The height of the output in case it has to be reinterpreted as a 3D tensor.
+ * -# DEPTH_GEMM3D: The depth of the output in case it has to be reinterpreted as a 3D tensor
+ * (HEIGHT_GEMM3D * DEPTH_GEMM3D) = columns LHS matrix
+ *
+ * @param[in] lhs_ptr Pointer to the LHS reshaped matrix. Supported data type: F16/F32
+ * @param[in] lhs_stride_x Stride of the LHS reshaped matrix in X dimension (in bytes)
+ * @param[in] lhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] lhs_stride_y Stride of the LHS reshaped matrix in Y dimension (in bytes)
+ * @param[in] lhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the LHS reshaped matrix
+ * @param[in] rhs_ptr Pointer to the RHS reshaped matrix. Supported data type: same as @p lhs_ptr
+ * @param[in] rhs_stride_x Stride of the RHS reshaped matrix in X dimension (in bytes)
+ * @param[in] rhs_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] rhs_stride_y Stride of the RHS reshaped matrix in Y dimension (in bytes)
+ * @param[in] rhs_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the RHS reshaped matrix
+ * @param[out] dst_ptr Pointer to the destination matrix Supported data type: same as @p lhs_ptr
+ * @param[in] dst_stride_x Stride of the destination matrix 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 matrix 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_offset_first_element_in_bytes The offset of the first element in the destination matrix
+ * @param[in] lhs_stride_z Stride of the LHS reshaped matrix in Z dimension (in bytes)
+ * @param[in] rhs_stride_z Stride of the RHS reshaped matrix in Z dimension (in bytes)
+ * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)
+ * @param[in] lhs_cross_plane_pad (Optional) Bottom paddings for LHS matrix in unit of elements (only if defined REINTERPRET_INPUT_AS_3D)
+ * @param[in] dst_cross_plane_pad (Optional) Bottom paddings for the output matrix in unit of elements (only if defined REINTERPRET_OUTPUT_AS_3D)
+ */
+__kernel void gemm_mm_reshaped_only_rhs_nt(IMAGE_DECLARATION(lhs),
+ IMAGE_DECLARATION(rhs),
+ IMAGE_DECLARATION(dst),
+ uint lhs_stride_z,
+ uint rhs_stride_z,
+ uint dst_stride_z
+#if defined(REINTERPRET_INPUT_AS_3D)
+ ,
+ uint lhs_cross_plane_pad
+#endif // REINTERPRET_INPUT_AS_3D
+#if defined(REINTERPRET_OUTPUT_AS_3D)
+ ,
+ uint dst_cross_plane_pad
+#endif // REINTERPRET_OUTPUT_AS_3D
+ )
+{
+ // Block size
+#define RHS_BLOCK_SIZE ((K0) * (N0))
+
+ // RHS offset and step X
+#if defined(RHS_INTERLEAVE)
+#define RHS_OFFSET_X (N0)
+#define RHS_STEP_X ((N0) * (H0))
+#define RHS_STEP_LOOP (1)
+#else // defined(RHS_INTERLEAVE)
+#define RHS_OFFSET_X (RHS_BLOCK_SIZE)
+#define RHS_STEP_X (N0)
+#define RHS_STEP_LOOP (H0)
+#endif // defined(RHS_INTERLEAVE)
+
+ uint x = get_global_id(0);
+ uint y = get_global_id(1);
+ uint z = get_global_id(2);
+
+ // Compute LHS matrix address
+ uint lhs_offset = lhs_offset_first_element_in_bytes + y * M0 * (uint)lhs_stride_y;
+
+ // Compute RHS matrix address
+ uint rhs_offset = rhs_offset_first_element_in_bytes + (x % H0) * (uint)RHS_OFFSET_X * sizeof(DATA_TYPE) + (x / (uint)H0) * rhs_stride_y;
+
+#if defined(MATRIX_B_DEPTH)
+ // Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3
+ rhs_offset += (z % MATRIX_B_DEPTH) * rhs_stride_z;
+#else // defined(MATRIX_B_DEPTH)
+ rhs_offset += z * rhs_stride_z;
+#endif // defined(MATRIX_B_DEPTH)
+
+ REPEAT_VAR_INIT_TO_CONST(8, uint, zin, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0;
+
+#if defined(REINTERPRET_INPUT_AS_3D)
+ // Since we store a 2D output tile in a 3D tensor, we need to check when the plane changes across the z dimension
+ // in order to take into account the presence of possible cross plane paddings
+ //
+ // | |
+ // | plane0 |
+ // | |
+ // |__________________|
+ // |******************|
+ // | cross_plane_pad |
+ // |******************|
+ // | |
+ // | plane1 |
+ // | |
+ // |__________________|
+
+ // The plane (zin) is calculated dividing M (y * M0) by HEIGHT_GEMM3D
+ zin0 = (0 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zin0 = min((uint)(DEPTH_GEMM3D - 1), zin0);
+ zin0 *= (lhs_cross_plane_pad * lhs_stride_y);
+#if M0 > 1
+ zin1 = (1 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zin1 = min((uint)(DEPTH_GEMM3D - 1), zin1);
+ zin1 *= (lhs_cross_plane_pad * lhs_stride_y);
+#endif // M0 > 1
+#if M0 > 2
+ zin2 = (2 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zin2 = min((uint)(DEPTH_GEMM3D - 1), zin2);
+ zin2 *= (lhs_cross_plane_pad * lhs_stride_y);
+#endif // M0 > 2
+#if M0 > 3
+ zin3 = (3 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zin3 = min((uint)(DEPTH_GEMM3D - 1), zin3);
+ zin3 *= (lhs_cross_plane_pad * lhs_stride_y);
+#endif // M0 > 3
+#if M0 > 4
+ zin4 = (4 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zin4 = min((uint)(DEPTH_GEMM3D - 1), zin4);
+ zin4 *= (lhs_cross_plane_pad * lhs_stride_y);
+#endif // M0 > 4
+#if M0 > 5
+ zin5 = (5 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zin5 = min((uint)(DEPTH_GEMM3D - 1), zin5);
+ zin5 *= (lhs_cross_plane_pad * lhs_stride_y);
+#endif // M0 > 5
+#if M0 > 6
+ zin6 = (6 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zin6 = min((uint)(DEPTH_GEMM3D - 1), zin6);
+ zin6 *= (lhs_cross_plane_pad * lhs_stride_y);
+#endif // M0 > 6
+#if M0 > 7
+ zin7 = (7 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zin7 = min((uint)(DEPTH_GEMM3D - 1), zout7);
+ zin7 *= (lhs_cross_plane_pad * lhs_stride_y);
+#endif // M0 > 7
+
+ // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we
+ // multiply lhs_stride_z by DEPTH_GEMM3D
+ lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D;
+
+#else // defined(REINTERPRET_INPUT_AS_3D)
+
+ // Add offset for batched GEMM
+ lhs_offset += z * lhs_stride_z;
+
+#endif // defined(REINTERPRET_INPUT_AS_3D)
+
+ // Initialize the accumulators
+ REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE, N0), c, 0); //VEC_DATA_TYPE(DATA_TYPE, N0) c0=0,c1=0,c2=0,... c(N0-1)=0;
+
+ int i = 0;
+ for(; i <= (K - K0); i += K0)
+ {
+ // Supported cases (M0, K0):
+ // 1,2 - 1,3 - 1,4 - 1,8 - 1,16
+ // 2,2 - 2,3 - 2,4 - 2,8 - 2,16
+ // 3,2 - 3,3 - 3,4 - 3,8 - 3,16
+ // 4,2 - 4,3 - 4,4 - 4,8 - 4,16
+ // 5,2 - 5,3 - 5,4 - 5,8 - 5,16
+ // 6,2 - 6,3 - 6,4 - 6,8 - 6,16
+ // 7,2 - 7,3 - 7,4 - 7,8 - 7,16
+ // 8,2 - 8,3 - 8,4 - 8,8 - 8,16
+ // Load values from LHS matrix
+ VEC_DATA_TYPE(DATA_TYPE, K0)
+ a0 = VLOAD(K0)(0, (__global DATA_TYPE *)(lhs_ptr + lhs_offset + 0 * lhs_stride_y + zin0));
+#if M0 > 1
+ VEC_DATA_TYPE(DATA_TYPE, K0)
+ a1 = VLOAD(K0)(0, (__global DATA_TYPE *)(lhs_ptr + lhs_offset + 1 * lhs_stride_y + zin1));
+#endif // M0 > 1
+#if M0 > 2
+ VEC_DATA_TYPE(DATA_TYPE, K0)
+ a2 = VLOAD(K0)(0, (__global DATA_TYPE *)(lhs_ptr + lhs_offset + 2 * lhs_stride_y + zin2));
+#endif // M0 > 2
+#if M0 > 3
+ VEC_DATA_TYPE(DATA_TYPE, K0)
+ a3 = VLOAD(K0)(0, (__global DATA_TYPE *)(lhs_ptr + lhs_offset + 3 * lhs_stride_y + zin3));
+#endif // M0 > 3
+#if M0 > 4
+ VEC_DATA_TYPE(DATA_TYPE, K0)
+ a4 = VLOAD(K0)(0, (__global DATA_TYPE *)(lhs_ptr + lhs_offset + 4 * lhs_stride_y + zin4));
+#endif // M0 > 4
+#if M0 > 5
+ VEC_DATA_TYPE(DATA_TYPE, K0)
+ a5 = VLOAD(K0)(0, (__global DATA_TYPE *)(lhs_ptr + lhs_offset + 5 * lhs_stride_y + zin5));
+#endif // M0 > 5
+#if M0 > 6
+ VEC_DATA_TYPE(DATA_TYPE, K0)
+ a6 = VLOAD(K0)(0, (__global DATA_TYPE *)(lhs_ptr + lhs_offset + 6 * lhs_stride_y + zin6));
+#endif // M0 > 6
+#if M0 > 7
+ VEC_DATA_TYPE(DATA_TYPE, K0)
+ a7 = VLOAD(K0)(0, (__global DATA_TYPE *)(lhs_ptr + lhs_offset + 7 * lhs_stride_y + zin7));
+#endif // M0 > 7
+
+ LD_RHS_VFMA_M0xN0(0, a, c);
+ LD_RHS_VFMA_M0xN0(1, a, c);
+#if K0 > 2
+ LD_RHS_VFMA_M0xN0(2, a, c);
+#endif // K0 > 2
+#if K0 > 3
+ LD_RHS_VFMA_M0xN0(3, a, c);
+#endif // K0 > 3
+#if K0 > 4
+ LD_RHS_VFMA_M0xN0(4, a, c);
+ LD_RHS_VFMA_M0xN0(5, a, c);
+ LD_RHS_VFMA_M0xN0(6, a, c);
+ LD_RHS_VFMA_M0xN0(7, a, c);
+#endif // K0 > 4
+#if K0 > 8
+ LD_RHS_VFMA_M0xN0(8, a, c);
+ LD_RHS_VFMA_M0xN0(9, a, c);
+ LD_RHS_VFMA_M0xN0(A, a, c);
+ LD_RHS_VFMA_M0xN0(B, a, c);
+ LD_RHS_VFMA_M0xN0(C, a, c);
+ LD_RHS_VFMA_M0xN0(D, a, c);
+ LD_RHS_VFMA_M0xN0(E, a, c);
+ LD_RHS_VFMA_M0xN0(F, a, c);
+#endif // K0 > 8
+
+ lhs_offset += K0 * sizeof(DATA_TYPE);
+ rhs_offset += K0 * RHS_STEP_X * RHS_STEP_LOOP * sizeof(DATA_TYPE);
+ }
+
+ // Left-over accumulations
+ for(; i < K; ++i)
+ {
+ // Load values from LHS matrix
+ VEC_DATA_TYPE(DATA_TYPE, 2)
+ a0 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 0 * lhs_stride_y + zin0));
+#if M0 > 1
+ VEC_DATA_TYPE(DATA_TYPE, 2)
+ a1 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 1 * lhs_stride_y + zin1));
+#endif // M0 > 1
+#if M0 > 2
+ VEC_DATA_TYPE(DATA_TYPE, 2)
+ a2 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 2 * lhs_stride_y + zin2));
+#endif // M0 > 2
+#if M0 > 3
+ VEC_DATA_TYPE(DATA_TYPE, 2)
+ a3 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 3 * lhs_stride_y + zin3));
+#endif // M0 > 3
+#if M0 > 4
+ VEC_DATA_TYPE(DATA_TYPE, 2)
+ a4 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 4 * lhs_stride_y + zin4));
+#endif // M0 > 4
+#if M0 > 5
+ VEC_DATA_TYPE(DATA_TYPE, 2)
+ a5 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 5 * lhs_stride_y + zin5));
+#endif // M0 > 5
+#if M0 > 6
+ VEC_DATA_TYPE(DATA_TYPE, 2)
+ a6 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 6 * lhs_stride_y + zin6));
+#endif // M0 > 6
+#if M0 > 7
+ VEC_DATA_TYPE(DATA_TYPE, 2)
+ a7 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 7 * lhs_stride_y + zin));
+#endif // M0 > 7
+
+ LD_RHS_VFMA_M0xN0(0, a, c);
+
+ lhs_offset += sizeof(DATA_TYPE);
+ rhs_offset += RHS_STEP_X * sizeof(DATA_TYPE);
+ }
+
+ __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (y * (uint)M0 * dst_stride_y);
+
+ REPEAT_VAR_INIT_TO_CONST(8, uint, zout, 0); //uint zout0=0,zout1=0,zout2=0,... zout7=0;
+
+#if defined(REINTERPRET_OUTPUT_AS_3D)
+ // Since we store a 2D output tile in a 3D tensor, we need to check when the plane changes across the z dimension
+ // in order to take into account the presence of possible cross plane paddings
+ //
+ // | |
+ // | plane0 |
+ // | |
+ // |__________________|
+ // |******************|
+ // | cross_plane_pad |
+ // |******************|
+ // | |
+ // | plane1 |
+ // | |
+ // |__________________|
+
+ // The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D
+ zout0 = (0 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zout0 = min((uint)(DEPTH_GEMM3D - 1), zout0);
+ zout0 *= (dst_cross_plane_pad * dst_stride_y);
+#if M0 > 1
+ zout1 = (1 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zout1 = min((uint)(DEPTH_GEMM3D - 1), zout1);
+ zout1 *= (dst_cross_plane_pad * dst_stride_y);
+#endif // M0 > 1
+#if M0 > 2
+ zout2 = (2 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zout2 = min((uint)(DEPTH_GEMM3D - 1), zout2);
+ zout2 *= (dst_cross_plane_pad * dst_stride_y);
+#endif // M0 > 2
+#if M0 > 3
+ zout3 = (3 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zout3 = min((uint)(DEPTH_GEMM3D - 1), zout3);
+ zout3 *= (dst_cross_plane_pad * dst_stride_y);
+#endif // M0 > 3
+#if M0 > 4
+ zout4 = (4 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zout4 = min((uint)(DEPTH_GEMM3D - 1), zout4);
+ zout4 *= (dst_cross_plane_pad * dst_stride_y);
+#endif // M0 > 4
+#if M0 > 5
+ zout5 = (5 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zout5 = min((uint)(DEPTH_GEMM3D - 1), zout5);
+ zout5 *= (dst_cross_plane_pad * dst_stride_y);
+#endif // M0 > 5
+#if M0 > 6
+ zout6 = (6 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zout6 = min((uint)(DEPTH_GEMM3D - 1), zout6);
+ zout6 *= (dst_cross_plane_pad * dst_stride_y);
+#endif // M0 > 6
+#if M0 > 7
+ zout7 = (7 + (uint)(y * (uint)M0)) / (uint)HEIGHT_GEMM3D;
+ zout7 = min((uint)(DEPTH_GEMM3D - 1), zout7);
+ zout7 *= (dst_cross_plane_pad * dst_stride_y);
+#endif // M0 > 7
+
+ // Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we
+ // multiply dst_stride_z by DEPTH_GEMM3D
+ dst_addr += z * dst_stride_z * DEPTH_GEMM3D;
+
+#else // defined(REINTERPRET_OUTPUT_AS_3D)
+
+ // Add offset for batched GEMM
+ dst_addr += z * dst_stride_z;
+
+#endif // defined(REINTERPRET_OUTPUT_AS_3D)
+
+ // Multiply by the weight of matrix-matrix product and store the result
+#if defined(ALPHA)
+ c0 = c0 * (DATA_TYPE)ALPHA;
+#if M0 > 1
+ c1 = c1 * (DATA_TYPE)ALPHA;
+#endif // M0 > 1
+#if M0 > 2
+ c2 = c2 * (DATA_TYPE)ALPHA;
+#endif // M0 > 2
+#if M0 > 3
+ c3 = c3 * (DATA_TYPE)ALPHA;
+#endif // M0 > 3
+#if M0 > 4
+ c4 = c4 * (DATA_TYPE)ALPHA;
+#endif // M0 > 4
+#if M0 > 5
+ c5 = c5 * (DATA_TYPE)ALPHA;
+#endif // M0 > 5
+#if M0 > 6
+ c6 = c6 * (DATA_TYPE)ALPHA;
+#endif // M0 > 5
+#if M0 > 7
+ c7 = c7 * (DATA_TYPE)ALPHA;
+#endif // M0 > 7
+#endif // defined(ALPHA)
+
+ // Store output block
+ VSTORE(N0)
+ (c0, 0, (__global DATA_TYPE *)(dst_addr + 0 * dst_stride_y + zout0));
+#if M0 > 1
+ VSTORE(N0)
+ (c1, 0, (__global DATA_TYPE *)(dst_addr + 1 * dst_stride_y + zout1));
+#endif // M0 > 1
+#if M0 > 2
+ VSTORE(N0)
+ (c2, 0, (__global DATA_TYPE *)(dst_addr + 2 * dst_stride_y + zout2));
+#endif // M0 > 2
+#if M0 > 3
+ VSTORE(N0)
+ (c3, 0, (__global DATA_TYPE *)(dst_addr + 3 * dst_stride_y + zout3));
+#endif // M0 > 3
+#if M0 > 4
+ VSTORE(N0)
+ (c4, 0, (__global DATA_TYPE *)(dst_addr + 4 * dst_stride_y + zout4));
+#endif // M0 > 4
+#if M0 > 5
+ VSTORE(N0)
+ (c5, 0, (__global DATA_TYPE *)(dst_addr + 5 * dst_stride_y + zout5));
+#endif // M0 > 5
+#if M0 > 6
+ VSTORE(N0)
+ (c6, 0, (__global DATA_TYPE *)(dst_addr + 6 * dst_stride_y + zout6));
+#endif // M0 > 6
+#if M0 > 7
+ VSTORE(N0)
+ (c7, 0, (__global DATA_TYPE *)(dst_addr + 7 * dst_stride_y + zout7));
+#endif // M0 > 7
+
+#undef RHS_BLOCK_SIZE
+#undef RHS_OFFSET_X
+#undef RHS_STEP_X
+}
#endif // defined(M0) && defined(N0) && defined(K0) && defined(H0) && defined(DATA_TYPE) && defined(K)
#if defined(M0) && defined(N0) && defined(K0) && defined(V0) && defined(H0) && defined(DATA_TYPE)
diff --git a/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp b/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp
index cbbc5922dd..83051d2efe 100644
--- a/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp
+++ b/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp
@@ -103,7 +103,7 @@ const auto k0_values_precommit = framework::dataset::make("K0", { 4 });
const auto h0_values_precommit = framework::dataset::make("H0", 1, 3);
/** M0 values to test - Nightly */
-const auto m0_values_nightly = framework::dataset::make("M0", 2, 8);
+const auto m0_values_nightly = framework::dataset::make("M0", 1, 8);
/** N0 values to test - Nightly */
const auto n0_values_nightly = framework::dataset::make("N0", { 2, 3, 4, 8 });
@@ -118,10 +118,10 @@ const auto h0_values_nightly = framework::dataset::make("H0", 1, 4);
const auto i_values_rhs = framework::dataset::make("interleave_rhs", { true, false });
/** Transpose values to test with RHS matrix */
-const auto t_values_rhs = framework::dataset::make("transpose_rhs", { true });
+const auto t_values_rhs = framework::dataset::make("transpose_rhs", { true, false });
/** Configuration test */
-void validate_configuration(unsigned int m_value, unsigned int n_value, unsigned int k_value, unsigned int b_value, unsigned int m0_value, unsigned int n0_value, unsigned int k0_value, unsigned int h0_value, bool i_value_rhs, DataType data_type)
+void validate_configuration(unsigned int m_value, unsigned int n_value, unsigned int k_value, unsigned int b_value, unsigned int m0_value, unsigned int n0_value, unsigned int k0_value, unsigned int h0_value, bool i_value_rhs, bool t_value_rhs, DataType data_type)
{
const unsigned int M = m_value;
const unsigned int N = n_value;
@@ -136,7 +136,7 @@ void validate_configuration(unsigned int m_value, unsigned int n_value, unsigned
rhs_info.k0 = k0_value;
rhs_info.h0 = h0_value;
rhs_info.interleave = i_value_rhs;
- rhs_info.transpose = true;
+ rhs_info.transpose = t_value_rhs;
GEMMReshapeInfo gemm_info(M, N, K);
@@ -168,7 +168,7 @@ TEST_SUITE(CL)
TEST_SUITE(GEMMMatrixMultiplyReshapedOnlyRHS)
TEST_SUITE(Float)
TEST_SUITE(FP32)
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(
m_values,
n_values),
k_values),
@@ -178,9 +178,10 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combi
k0_values_precommit),
h0_values_precommit),
i_values_rhs),
-m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, h0_value, i_value_rhs)
+ t_values_rhs),
+m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, h0_value, i_value_rhs, t_value_rhs)
{
- validate_configuration(m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, h0_value, i_value_rhs, DataType::F32);
+ validate_configuration(m_value, n_value, k_value, b_value, m0_value, n0_value, k0_value, h0_value, i_value_rhs, t_value_rhs, DataType::F32);
}
FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<float>, framework::DatasetMode::ALL,