| /* |
| * Copyright (c) 2017-2018 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. |
| */ |
| layout(local_size_x = LOCAL_SIZE_X, local_size_y = LOCAL_SIZE_Y, local_size_z = LOCAL_SIZE_Z) in; |
| #include "helpers_cs.h" |
| |
| #if defined(DATA_TYPE_FP16) |
| precision mediump float; |
| #endif // DATA_TYPE_FP16 |
| |
| #if defined(DATA_TYPE_FP32) |
| #ifdef GEMM_TRANSPOSE1xW |
| /** This OpenGL ES kernel computes the "vector" 1x4 transposition of input matrix |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: F32 |
| * @param[in] src_attrs The attributes of the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src_ptr |
| * @param[in] dst_attrs The attributes of the destination matrix |
| */ |
| SHADER_PARAMS_DECLARATION |
| { |
| ImageAttributes src_attrs; |
| ImageAttributes dst_attrs; |
| }; |
| TENSOR_DECLARATION(1, srcBuffer, float, src_ptr, src_shift, 2, readonly); |
| TENSOR_DECLARATION(2, dstBuffer, float, dst_ptr, dst_shift, 2, writeonly); |
| |
| void main(void) |
| { |
| /* Compute address for Matrix B - source */ |
| ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift); |
| ImageIterator dst_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(dst_attrs, dst_shift); |
| |
| /* Compute address for Matrix B transposed - destination. X and Y are swapped */ |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(dst_iter, gl_GlobalInvocationID.y * uint(16) + gl_GlobalInvocationID.x * dst_attrs.stride_y); |
| |
| vec4 b0 = VLOAD4_CURRENT_ITEM(vec4, src_ptr, src_iter); |
| VSTORE4_CURRENT_ITEM(dst_ptr, dst_iter, b0); |
| } |
| #endif /* GEMM_TRANSPOSE1xW */ |
| |
| #ifdef GEMM_INTERLEAVE4x4 |
| /** This OpenGLES kernel reshapes the input matrix interleaving the values |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: F32 |
| * @param[in] src_attrs The attributes of the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src_ptr |
| * @param[in] dst_attrs The attributes of the destination matrix |
| */ |
| SHADER_PARAMS_DECLARATION |
| { |
| ImageAttributes src_attrs; |
| ImageAttributes dst_attrs; |
| }; |
| TENSOR_DECLARATION(1, srcBuffer, float, src_ptr, src_shift, 2, readonly); |
| TENSOR_DECLARATION(2, dstBuffer, float, dst_ptr, dst_shift, 2, writeonly); |
| |
| void main(void) |
| { |
| /* Compute source and destination addresses */ |
| ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift); |
| ImageIterator dst_iter = CONVERT_TO_IMAGE_ITERATOR(dst_attrs, dst_shift); |
| |
| int i; |
| int j; |
| |
| for(i = 0; i < 4; ++i) |
| { |
| for(j = 0; j < 4; ++j) |
| { |
| float res = LOAD(src_ptr, IMAGE_OFFSET(src_iter, i, j)); |
| STORE(dst_ptr, TENSOR_OFFSET_ADVANCE(dst_iter, (i * 4 + j)), res); |
| } |
| } |
| } |
| #endif /* GEMM_INTERLEAVE4x4 */ |
| |
| #ifdef GEMM_ACCUMULATE_BIASES |
| /** This kernel accumulates each row with the biases vector |
| * |
| * @param[in, out] accum_ptr Pointer to the accumulate tensor. Supported data type: F32 |
| * @param[in] accum_attrs The attributes of the accumulate tensor |
| * @param[in] biases_ptr Pointer to the biases vector. Same as @p accum_ptr |
| * @param[in] biases_attrs The attributes of the biases tensor |
| */ |
| SHADER_PARAMS_DECLARATION |
| { |
| ImageAttributes accum_attrs; |
| VectorAttributes biases_attrs; |
| }; |
| TENSOR_DECLARATION(1, accumBuffer, float, accum_ptr, accum_shift, 2, restrict); |
| TENSOR_DECLARATION(2, biasesBuffer, float, biases_ptr, biases_shift, 2, readonly); |
| |
| void main(void) |
| { |
| ImageIterator accum_iter = CONVERT_TO_IMAGE_ITERATOR(accum_attrs, accum_shift); |
| VectorIterator biases_iter = CONVERT_TO_VECTOR_ITERATOR(biases_attrs, biases_shift); |
| |
| for(int i = 0; i < 16; ++i) |
| { |
| float accum_value = LOAD(accum_ptr, TENSOR_OFFSET_ADVANCE(accum_iter, i)); |
| float biases_value = LOAD(biases_ptr, TENSOR_OFFSET_ADVANCE(biases_iter, i)); |
| accum_value = biases_value + accum_value; |
| |
| // Store result in the accummulate buffer |
| STORE(accum_ptr, TENSOR_OFFSET_ADVANCE(accum_iter, i), accum_value); |
| } |
| } |
| #endif /* GEMM_ACCUMULATE_BIASES */ |
| |
| #ifdef GEMM_MM_INTERLEAVED_TRANSPOSED /* unvalidate */ |
| /** This OpenGL ES kernel is optimised for Midgard. It computes the matrix multiplication between matrix A (src0) and matrix B (src1) |
| * Matrix A and matrix B must be reshaped respectively with @ref gemm_interleave4x4_32bit and @ref gemm_transpose1x4 before running the matrix multiplication |
| * |
| * @note The optional value of scalar alpha is passed at compile time using -DALPHA=alpha |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F32 |
| * @param[in] src0_attrs The attributes of the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_attrs The attributes of the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_attrs The attributes of the destination matrix |
| */ |
| SHADER_PARAMS_DECLARATION |
| { |
| ImageAttributes src0_attrs; |
| ImageAttributes src1_attrs; |
| ImageAttributes dst_attrs; |
| }; |
| TENSOR_DECLARATION(1, src0Buffer, float, src0_ptr, src0_shift, 2, readonly); |
| TENSOR_DECLARATION(2, src1Buffer, float, src1_ptr, src1_shift, 2, readonly); |
| TENSOR_DECLARATION(3, dstBuffer, float, dst_ptr, dst_shift, 2, writeonly); |
| |
| void main() |
| { |
| ImageIterator src0_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(src0_attrs, src0_shift); |
| ImageIterator src1_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(src1_attrs, src1_shift); |
| ImageIterator dst_iter = CONVERT_TO_IMAGE_ITERATOR(dst_attrs, dst_shift); |
| |
| /* Compute address for matrix A and B */ |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, uint(gl_GlobalInvocationID.y) * (src0_attrs.stride_y)); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, uint(gl_GlobalInvocationID.x) * (src1_attrs.stride_y)); |
| /* Compute end row address for matrix B */ |
| int end_row_mtx_b = int(TENSOR_OFFSET_ADVANCE(src1_iter, COLS_B)); |
| |
| /* Reset accumulators */ |
| vec4 c00 = vec4(0.0f); |
| vec4 c10 = vec4(0.0f); |
| vec4 c20 = vec4(0.0f); |
| vec4 c30 = vec4(0.0f); |
| |
| // FIXME: loop unrolling really needed for GLES? |
| for(; int(CURRENT_ITEM_OFFSET(src1_iter)) <= (end_row_mtx_b - 8); TENSOR_ITERATOR_ADVANCE(src0_iter, 8), TENSOR_ITERATOR_ADVANCE(src1_iter, 8)) |
| { |
| /* Load values from matrix A (interleaved) and matrix B (transposed) */ |
| vec4 a0 = VLOAD4_CURRENT_ITEM(vec4, src0_ptr, src0_iter); |
| vec4 b0 = VLOAD4_CURRENT_ITEM(vec4, src1_ptr, src1_iter); |
| |
| c00 += vec4(a0.x) * b0; |
| c10 += vec4(a0.y) * b0; |
| c20 += vec4(a0.z) * b0; |
| c30 += vec4(a0.w) * b0; |
| |
| /* Load values from matrix A (interleaved) and matrix B (transposed) */ |
| a0 = VLOAD4(vec4, src0_ptr, TENSOR_OFFSET_ADVANCE(src0_iter, 4)); |
| b0 = VLOAD4(vec4, src1_ptr, TENSOR_OFFSET_ADVANCE(src1_iter, 4)); |
| |
| c00 += vec4(a0.x) * b0; |
| c10 += vec4(a0.y) * b0; |
| c20 += vec4(a0.z) * b0; |
| c30 += vec4(a0.w) * b0; |
| } |
| |
| for(; int(CURRENT_ITEM_OFFSET(src1_iter)) < end_row_mtx_b; TENSOR_ITERATOR_ADVANCE(src0_iter, 4), TENSOR_ITERATOR_ADVANCE(src1_iter, 4)) |
| { |
| /* Load values from matrix A (interleaved) and matrix B (transposed) */ |
| vec4 a0 = VLOAD4_CURRENT_ITEM(vec4, src0_ptr, src0_iter); |
| vec4 b0 = VLOAD4_CURRENT_ITEM(vec4, src1_ptr, src1_iter); |
| |
| c00 += vec4(a0.x) * b0; |
| c10 += vec4(a0.y) * b0; |
| c20 += vec4(a0.z) * b0; |
| c30 += vec4(a0.w) * b0; |
| } |
| |
| /* Multiply by the weight of matrix product */ |
| c00 = c00 * vec4(ALPHA); |
| c10 = c10 * vec4(ALPHA); |
| c20 = c20 * vec4(ALPHA); |
| c30 = c30 * vec4(ALPHA); |
| |
| /* Store 4x4 block */ |
| VSTORE4(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 0), c00); |
| VSTORE4(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 1), c10); |
| VSTORE4(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 2), c20); |
| VSTORE4(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 3), c30); |
| } |
| #endif /* GEMM_MM_INTERLEAVED_TRANSPOSED */ |
| |
| #ifdef GEMM_MM_FLOATING_POINT |
| /** This OpenGL ES kernel computes the matrix multiplication between matrix A (src0) and matrix B (src1) |
| * Matrix A and matrix B must be reshaped respectively with @ref gemm_interleave4x4_32bit and @ref gemm_transpose1x4 before running the matrix multiplication |
| * |
| * @note The number of elements processed along the x and y directions must be passed at compile time using -DNUM_ELEMS_PROCESSED_PER_THREAD_X and -DNUM_ELEMS_PROCESSED_PER_THREAD_Y. |
| * @note The number of matrix A columns must be passed at compile time using -DCOLS_A. |
| * @note The optional value of scalar alpha is passed at compile time using -DALPHA=alpha |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F32 |
| * @param[in] src0_attrs The attributes of the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_attrs The attributes of the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_attrs The attributes of the destination matrix |
| */ |
| SHADER_PARAMS_DECLARATION |
| { |
| ImageAttributes src0_attrs; |
| ImageAttributes src1_attrs; |
| ImageAttributes dst_attrs; |
| }; |
| TENSOR_DECLARATION(1, src0Buffer, float, src0_ptr, src0_shift, 2, readonly); |
| TENSOR_DECLARATION(2, src1Buffer, float, src1_ptr, src1_shift, 2, readonly); |
| TENSOR_DECLARATION(3, dstBuffer, float, dst_ptr, dst_shift, 2, writeonly); |
| |
| void main() |
| { |
| ImageIterator src0_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(src0_attrs, src0_shift); |
| ImageIterator src1_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(src1_attrs, src1_shift); |
| ImageIterator dst_iter = CONVERT_TO_IMAGE_ITERATOR(dst_attrs, dst_shift); |
| |
| int idx = int(gl_GlobalInvocationID.x) * int(NUM_ELEMS_PROCESSED_PER_THREAD_X); |
| /* Compute the address for the vector A and matrix B */ |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, uint(gl_GlobalInvocationID.y) * (src0_attrs.stride_y) * uint(NUM_ELEMS_PROCESSED_PER_THREAD_Y)); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, idx * 4); |
| |
| /* Compute end row address for matrix A */ |
| int end_row_vec_a = int(TENSOR_OFFSET_ADVANCE_IN_BYTES(src0_iter, COLS_A * 4)); |
| |
| /* Reset accumulators */ |
| vec4 acc0 = vec4(0.0f); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| vec4 acc1 = vec4(0.0f); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| vec4 acc2 = vec4(0.0f); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| vec4 acc3 = vec4(0.0f); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| for(; int(CURRENT_ITEM_OFFSET(src0_iter)) <= (end_row_vec_a - 2); TENSOR_ITERATOR_ADVANCE(src0_iter, 2), TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, uint(2) * src1_attrs.stride_y)) |
| { |
| vec2 a0 = VLOAD2_CURRENT_ITEM(vec2, src0_ptr, src0_iter); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| vec2 a1 = VLOAD2(vec2, src0_ptr, IMAGE_OFFSET(src0_iter, 0, 1)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| vec2 a2 = VLOAD2(vec2, src0_ptr, IMAGE_OFFSET(src0_iter, 0, 2)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| vec2 a3 = VLOAD2(vec2, src0_ptr, IMAGE_OFFSET(src0_iter, 0, 3)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| vec4 b0 = VLOAD4_CURRENT_ITEM(vec4, src1_ptr, src1_iter); |
| vec4 b1 = VLOAD4(vec4, src1_ptr, IMAGE_OFFSET(src1_iter, 0, 1)); |
| |
| acc0 += b0 * vec4(a0.x); |
| acc0 += b1 * vec4(a0.y); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += b0 * vec4(a1.x); |
| acc1 += b1 * vec4(a1.y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += b0 * vec4(a2.x); |
| acc2 += b1 * vec4(a2.y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += b0 * vec4(a3.x); |
| acc3 += b1 * vec4(a3.y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| for(; int(CURRENT_ITEM_OFFSET(src0_iter)) < end_row_vec_a; TENSOR_ITERATOR_ADVANCE(src0_iter, 1), TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, src1_attrs.stride_y)) |
| { |
| // Load values from matrix A |
| float a0 = LOAD_CURRENT_ITEM(src0_ptr, src0_iter); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| float a1 = LOAD(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 1)); |
| //float a1 = 0; |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| float a2 = LOAD(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 2)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| float a3 = LOAD(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 3)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| vec4 b0 = VLOAD4_CURRENT_ITEM(vec4, src1_ptr, src1_iter); |
| |
| acc0 += b0 * vec4(a0); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += b0 * vec4(a1); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += b0 * vec4(a2); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += b0 * vec4(a3); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| /* Multiply by the weight of vector-matrix product */ |
| acc0 = acc0 * vec4(ALPHA); |
| VSTORE4_CURRENT_ITEM(dst_ptr, dst_iter, acc0); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 = acc1 * vec4(ALPHA); |
| VSTORE4(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 1), acc1); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 = acc2 * vec4(ALPHA); |
| VSTORE4(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 2), acc2); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 = acc3 * vec4(ALPHA); |
| VSTORE4(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 3), acc3); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| #endif /* GEMM_MM_FLOATING_POINT */ |
| |
| #ifdef GEMM_MM_FLOATING_POINT_BIFROST |
| /** This OpenGL ES kernel computes the matrix multiplication between matrix A (src0) and matrix B (src1) |
| * Matrix A and matrix B in case both matrices have not been reshaped |
| * |
| * @note The number of elements processed along the x and y directions must be passed at compile time using -DNUM_ELEMS_PROCESSED_PER_THREAD_X and -DNUM_ELEMS_PROCESSED_PER_THREAD_Y. |
| * @note The number of matrix A columns must be passed at compile time using -DCOLS_A. |
| * @note The optional value of scalar alpha is passed at compile time using -DALPHA=alpha |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F32 |
| * @param[in] src0_attrs The attributes of the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_attrs The attributes of the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_attrs The attributes of the destination matrix |
| */ |
| SHADER_PARAMS_DECLARATION |
| { |
| ImageAttributes src0_attrs; |
| ImageAttributes src1_attrs; |
| ImageAttributes dst_attrs; |
| }; |
| TENSOR_DECLARATION(1, src0Buffer, float, src0_ptr, src0_shift, 2, readonly); |
| TENSOR_DECLARATION(2, src1Buffer, float, src1_ptr, src1_shift, 2, readonly); |
| TENSOR_DECLARATION(3, dstBuffer, float, dst_ptr, dst_shift, 2, writeonly); |
| |
| void main() |
| { |
| ImageIterator src0_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(src0_attrs, src0_shift); |
| ImageIterator src1_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(src1_attrs, src1_shift); |
| ImageIterator dst_iter = CONVERT_TO_IMAGE_ITERATOR(dst_attrs, dst_shift); |
| |
| int idx = int(gl_GlobalInvocationID.x) * int(NUM_ELEMS_PROCESSED_PER_THREAD_X); |
| /* Compute the address for the vector A and matrix B */ |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, uint(gl_GlobalInvocationID.y) * (src0_attrs.stride_y) * uint(NUM_ELEMS_PROCESSED_PER_THREAD_Y)); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, idx * 4); |
| |
| /* Reset accumulators */ |
| vec4 acc0 = vec4(0.0f); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| vec4 acc1 = vec4(0.0f); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| vec4 acc2 = vec4(0.0f); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| vec4 acc3 = vec4(0.0f); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| // A and B src indices get incremented at the same time. |
| int i = 0; |
| for(; i <= (COLS_A - 4); i += 4) |
| { |
| // Load values from matrix A and matrix B |
| vec4 a0 = VLOAD4_CURRENT_ITEM(vec4, src0_ptr, src0_iter); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| vec4 a1 = VLOAD4(vec4, src0_ptr, IMAGE_OFFSET(src0_iter, 0, 1)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| vec4 a2 = VLOAD4(vec4, src0_ptr, IMAGE_OFFSET(src0_iter, 0, 2)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| vec4 a3 = VLOAD4(vec4, src0_ptr, IMAGE_OFFSET(src0_iter, 0, 3)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| vec4 b0 = VLOAD4_CURRENT_ITEM(vec4, src1_ptr, src1_iter); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, src1_attrs.stride_y); |
| |
| // Multiply and accumulate |
| acc0 += b0 * vec4(a0.x); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += b0 * vec4(a1.x); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += b0 * vec4(a2.x); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += b0 * vec4(a3.x); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| // Load values from matrix B |
| b0 = VLOAD4_CURRENT_ITEM(vec4, src1_ptr, src1_iter); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, src1_attrs.stride_y); |
| |
| // Multiply and accumulate |
| acc0 += b0 * vec4(a0.y); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += b0 * vec4(a1.y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += b0 * vec4(a2.y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += b0 * vec4(a3.y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| // Load values from matrix B |
| b0 = VLOAD4_CURRENT_ITEM(vec4, src1_ptr, src1_iter); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, src1_attrs.stride_y); |
| |
| // Multiply and accumulate |
| acc0 += b0 * vec4(a0.z); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += b0 * vec4(a1.z); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += b0 * vec4(a2.z); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += b0 * vec4(a3.z); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| // Load values from matrix B |
| b0 = VLOAD4_CURRENT_ITEM(vec4, src1_ptr, src1_iter); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, src1_attrs.stride_y); |
| |
| // Multiply and accumulate |
| acc0 += b0 * vec4(a0.w); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += b0 * vec4(a1.w); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += b0 * vec4(a2.w); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += b0 * vec4(a3.w); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| TENSOR_ITERATOR_ADVANCE(src0_iter, 4); |
| } |
| |
| for(; i < COLS_A; ++i) |
| { |
| // Load values from matrix A |
| float a0 = LOAD_CURRENT_ITEM(src0_ptr, src0_iter); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| float a1 = LOAD(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 1)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| float a2 = LOAD(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 2)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| float a3 = LOAD(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 3)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| vec4 b0 = VLOAD4_CURRENT_ITEM(vec4, src1_ptr, src1_iter); |
| |
| // Multiply and accumulate |
| acc0 += b0 * vec4(a0); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += b0 * vec4(a1); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += b0 * vec4(a2); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += b0 * vec4(a3); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, src1_attrs.stride_y); |
| TENSOR_ITERATOR_ADVANCE(src0_iter, 1); |
| } |
| |
| /* Multiply by the weight of vector-matrix product */ |
| acc0 = acc0 * vec4(ALPHA); |
| VSTORE4_CURRENT_ITEM(dst_ptr, dst_iter, acc0); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 = acc1 * vec4(ALPHA); |
| VSTORE4(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 1), acc1); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 = acc2 * vec4(ALPHA); |
| VSTORE4(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 2), acc2); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 = acc3 * vec4(ALPHA); |
| VSTORE4(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 3), acc3); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| #endif /* GEMM_MM_FLOATING_POINT_BIFROST */ |
| |
| #ifdef GEMM_MATRIXADDITION |
| /** This OpenGL ES kernel performs the in-place matrix addition between 2 matrices taking into account that the second matrix might be weighted by a scalar value beta: |
| * |
| * @attention The beta's value need to be passed at compile time using BETA |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: F32 |
| * @param[in] src_attrs The attributes of the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src_ptr |
| * @param[in] dst_attrs The attributes of the destination matrix |
| */ |
| SHADER_PARAMS_DECLARATION |
| { |
| ImageAttributes src_attrs; |
| ImageAttributes dst_attrs; |
| }; |
| TENSOR_DECLARATION(1, srcBuffer, float, src_ptr, src_shift, 2, readonly); |
| TENSOR_DECLARATION(2, dstBuffer, float, dst_ptr, dst_shift, 2, restrict); |
| |
| void main(void) |
| { |
| /* Compute source and destination addresses */ |
| ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift); |
| ImageIterator dst_iter = CONVERT_TO_IMAGE_ITERATOR(dst_attrs, dst_shift); |
| |
| /* Load values from A x B */ |
| vec4 alpha_ab = VLOAD4_CURRENT_ITEM(vec4, dst_ptr, dst_iter); |
| vec4 c = VLOAD4_CURRENT_ITEM(vec4, src_ptr, src_iter); |
| |
| /* Computes alpha * axb + beta * c */ |
| vec4 out1 = alpha_ab + vec4(float(BETA) * c); |
| |
| /* Store final result in axb matrix */ |
| VSTORE4_CURRENT_ITEM(dst_ptr, dst_iter, out1); |
| } |
| #endif /* GEMM_MATRIXADDITION */ |
| |
| #elif defined(DATA_TYPE_FP16) |
| |
| #ifdef GEMM_TRANSPOSE1xW |
| /** This OpenGL ES kernel computes the "vector" 1x8 transposition of input matrix |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: F16 |
| * @param[in] src_attrs The attributes of the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src_ptr |
| * @param[in] dst_attrs The attributes of the destination matrix |
| */ |
| SHADER_PARAMS_DECLARATION |
| { |
| ImageAttributes src_attrs; |
| ImageAttributes dst_attrs; |
| }; |
| TENSOR_DECLARATION(1, srcBuffer, uvec4, src_ptr, src_shift, 4, readonly); |
| TENSOR_DECLARATION(2, dstBuffer, uvec4, dst_ptr, dst_shift, 4, writeonly); |
| |
| void main(void) |
| { |
| /* Compute address for Matrix B - source */ |
| ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift); |
| ImageIterator dst_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(dst_attrs, dst_shift); |
| |
| /* Compute address for Matrix B transposed - destination. X and Y are swapped */ |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(dst_iter, gl_GlobalInvocationID.y * uint(16) + gl_GlobalInvocationID.x * dst_attrs.stride_y); |
| |
| STORE_CURRENT_ITEM(dst_ptr, dst_iter, LOAD_CURRENT_ITEM(src_ptr, src_iter)); |
| } |
| #endif /* GEMM_TRANSPOSE1xW */ |
| |
| #ifdef GEMM_INTERLEAVE4x4 |
| /** This OpenGLES kernel reshapes the input matrix interleaving the values |
| * |
| * @param[in] src_ptr Pointer to the source matrix. Supported data types: F16 |
| * @param[in] src_attrs The attributes of the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src_ptr |
| * @param[in] dst_attrs The attributes of the destination matrix |
| */ |
| SHADER_PARAMS_DECLARATION |
| { |
| ImageAttributes src_attrs; |
| ImageAttributes dst_attrs; |
| }; |
| TENSOR_DECLARATION(1, srcBuffer, uvec4, src_ptr, src_shift, 4, readonly); |
| TENSOR_DECLARATION(2, dstBuffer, uvec4, dst_ptr, dst_shift, 4, writeonly); |
| |
| void main(void) |
| { |
| /* Compute source and destination addresses */ |
| ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift); |
| ImageIterator dst_iter = CONVERT_TO_IMAGE_ITERATOR(dst_attrs, dst_shift); |
| |
| vec4 s0[2] = LOAD_UNPACK8_CURRENT_ITEM_HALF(src_ptr, src_iter); |
| vec4 s1[2] = LOAD_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 1)); |
| vec4 s2[2] = LOAD_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 2)); |
| vec4 s3[2] = LOAD_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 3)); |
| |
| vec4 s[2]; |
| s[0] = vec4(s0[0].x, s1[0].x, s2[0].x, s3[0].x); |
| s[1] = vec4(s0[0].y, s1[0].y, s2[0].y, s3[0].y); |
| STORE_PACK8_CURRENT_ITEM_HALF(dst_ptr, dst_iter, s); |
| |
| s[0] = vec4(s0[0].z, s1[0].z, s2[0].z, s3[0].z); |
| s[1] = vec4(s0[0].w, s1[0].w, s2[0].w, s3[0].w); |
| STORE_PACK8_HALF(dst_ptr, TENSOR_OFFSET_ADVANCE(dst_iter, 1u), s); |
| |
| s[0] = vec4(s0[1].x, s1[1].x, s2[1].x, s3[1].x); |
| s[1] = vec4(s0[1].y, s1[1].y, s2[1].y, s3[1].y); |
| STORE_PACK8_HALF(dst_ptr, TENSOR_OFFSET_ADVANCE(dst_iter, 2u), s); |
| |
| s[0] = vec4(s0[1].z, s1[1].z, s2[1].z, s3[1].z); |
| s[1] = vec4(s0[1].w, s1[1].w, s2[1].w, s3[1].w); |
| STORE_PACK8_HALF(dst_ptr, TENSOR_OFFSET_ADVANCE(dst_iter, 3u), s); |
| } |
| #endif /* GEMM_INTERLEAVE4x4 */ |
| |
| #ifdef GEMM_MM_FLOATING_POINT |
| /** This OpenGL ES kernel computes the matrix multiplication between matrix A(src0) and matrix B(src1) |
| * Matrix A and matrix B must be reshaped respectively with @ref gemm_interleave4x4_16bit and @ref gemm_transpose1x4 before running the matrix multiplication |
| * |
| * @note The optional value of scalar alpha is passed at compile time using -DALPHA=alpha |
| * |
| * @param[in] src0_ptr Pointer to the source matrix.Supported data types: F16 |
| * @param[in] src0_attrs The attributes of the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_attrs The attributes of the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_attrs The attributes of the destination matrix |
| */ |
| SHADER_PARAMS_DECLARATION |
| { |
| ImageAttributes src0_attrs; |
| ImageAttributes src1_attrs; |
| ImageAttributes dst_attrs; |
| }; |
| |
| #if defined(MM_PROCESS_4X) |
| TENSOR_DECLARATION(1, src0Buffer, uint, src0_ptr, src0_shift, 2, readonly); |
| TENSOR_DECLARATION(2, src1Buffer, uvec2, src1_ptr, src1_shift, 3, readonly); |
| TENSOR_DECLARATION(3, dstBuffer, uvec2, dst_ptr, dst_shift, 3, writeonly); |
| |
| void main() |
| { |
| ImageIterator src0_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(src0_attrs, src0_shift); |
| ImageIterator src1_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(src1_attrs, src1_shift); |
| ImageIterator dst_iter = CONVERT_TO_IMAGE_ITERATOR(dst_attrs, dst_shift); |
| |
| int idx = int(gl_GlobalInvocationID.x) * int(NUM_ELEMS_PROCESSED_PER_THREAD_X); |
| /* Compute the address for the vector A and matrix B */ |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, uint(gl_GlobalInvocationID.y) * src0_attrs.stride_y * uint(NUM_ELEMS_PROCESSED_PER_THREAD_Y)); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, uint(idx) * src1_attrs.stride_x); |
| |
| /* Compute end row address for matrix A */ |
| uint end_row_vec_a = uint(CURRENT_ITEM_OFFSET_IN_BYTES(src0_iter)) + uint(COLS_A << 1); |
| |
| /* Reset accumulators */ |
| vec4 acc0 = vec4(0.0f); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| vec4 acc1 = vec4(0.0f); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| vec4 acc2 = vec4(0.0f); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| vec4 acc3 = vec4(0.0f); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| for(; int(CURRENT_ITEM_OFFSET_IN_BYTES(src0_iter)) <= int(end_row_vec_a - uint(4)); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, 2 * 2), TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, uint(2) * src1_attrs.stride_y)) |
| { |
| vec2 a0 = LOAD_UNPACK2_CURRENT_ITEM_HALF(src0_ptr, src0_iter); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| vec2 a1 = LOAD_UNPACK2_HALF(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 1)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| vec2 a2 = LOAD_UNPACK2_HALF(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 2)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| vec2 a3 = LOAD_UNPACK2_HALF(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 3)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| vec4 b0 = LOAD_UNPACK4_CURRENT_ITEM_HALF(src1_ptr, src1_iter); |
| vec4 b1 = LOAD_UNPACK4_HALF(src1_ptr, IMAGE_OFFSET(src1_iter, 0, 1)); |
| |
| acc0 += b0 * vec4(a0.x); |
| acc0 += b1 * vec4(a0.y); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += b0 * vec4(a1.x); |
| acc1 += b1 * vec4(a1.y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += b0 * vec4(a2.x); |
| acc2 += b1 * vec4(a2.y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += b0 * vec4(a3.x); |
| acc3 += b1 * vec4(a3.y); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| for(; int(CURRENT_ITEM_OFFSET_IN_BYTES(src0_iter)) < int(end_row_vec_a); TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, 2 * 2), TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, src1_attrs.stride_y)) |
| { |
| vec2 a0 = LOAD_UNPACK2_CURRENT_ITEM_HALF(src0_ptr, src0_iter); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| vec2 a1 = LOAD_UNPACK2_HALF(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 1)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| vec2 a2 = LOAD_UNPACK2_HALF(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 2)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| vec2 a3 = LOAD_UNPACK2_HALF(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 3)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| vec4 b0 = LOAD_UNPACK4_CURRENT_ITEM_HALF(src1_ptr, src1_iter); |
| |
| acc0 += b0 * (a0.x); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += b0 * (a1.x); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += b0 * (a2.x); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += b0 * (a3.x); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| |
| /* Multiply by the weight of vector-matrix product */ |
| acc0 = acc0 * vec4(ALPHA); |
| |
| STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, acc0); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| STORE_PACK4_HALF(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 1), acc1); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| STORE_PACK4_HALF(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 2), acc2); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| STORE_PACK4_HALF(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 3), acc3); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| #elif defined(MM_PROCESS_4X_OPTIMIZED) /* PROCESS_4X */ |
| TENSOR_DECLARATION(1, src0Buffer, uvec4, src0_ptr, src0_shift, 4, readonly); |
| TENSOR_DECLARATION(2, src1Buffer, uvec2, src1_ptr, src1_shift, 3, readonly); |
| TENSOR_DECLARATION(3, dstBuffer, uvec2, dst_ptr, dst_shift, 3, writeonly); |
| |
| void main() |
| { |
| ImageIterator src0_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(src0_attrs, src0_shift); |
| ImageIterator src1_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(src1_attrs, src1_shift); |
| ImageIterator dst_iter = CONVERT_TO_IMAGE_ITERATOR(dst_attrs, dst_shift); |
| |
| int idx = int(gl_GlobalInvocationID.x) * int(NUM_ELEMS_PROCESSED_PER_THREAD_X); |
| /* Compute the address for the vector A and matrix B */ |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, uint(gl_GlobalInvocationID.y) * src0_attrs.stride_y * uint(NUM_ELEMS_PROCESSED_PER_THREAD_Y)); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, uint(idx) * src1_attrs.stride_x); |
| |
| /* Compute end row address for matrix A */ |
| uint end_row_vec_a = uint(CURRENT_ITEM_OFFSET_IN_BYTES(src0_iter)) + uint(COLS_A << 1); |
| |
| /* Reset accumulators */ |
| vec4 acc0 = vec4(0.0f); |
| |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| vec4 acc1 = vec4(0.0f); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| vec4 acc2 = vec4(0.0f); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| vec4 acc3 = vec4(0.0f); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| for(; int(CURRENT_ITEM_OFFSET_IN_BYTES(src0_iter)) <= int(end_row_vec_a - uint(16)); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, uint(8) * src0_attrs.stride_x), TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, uint(8) * src1_attrs.stride_y)) |
| { |
| vec4 a0[2] = LOAD_UNPACK8_CURRENT_ITEM_HALF(src0_ptr, src0_iter); |
| |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| vec4 a1[2] = LOAD_UNPACK8_HALF(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 1)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| vec4 a2[2] = LOAD_UNPACK8_HALF(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 2)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| vec4 a3[2] = LOAD_UNPACK8_HALF(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 3)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| vec4 b; |
| |
| for(int i = 0; i < 8; i++) |
| { |
| int j = i >> 2; |
| int k = i % 4; |
| |
| b = LOAD_UNPACK4_HALF(src1_ptr, IMAGE_OFFSET(src1_iter, 0, i)); |
| |
| acc0 += b * vec4(a0[j][k]); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += b * vec4(a1[j][k]); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += b * vec4(a2[j][k]); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += b * vec4(a3[j][k]); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| } |
| |
| for(; int(CURRENT_ITEM_OFFSET_IN_BYTES(src0_iter)) < int(end_row_vec_a); TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, 2 * 8), TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, uint(8) * src1_attrs.stride_y)) |
| { |
| vec4 a0[2] = LOAD_UNPACK8_CURRENT_ITEM_HALF(src0_ptr, src0_iter); |
| |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| vec4 a1[2] = LOAD_UNPACK8_HALF(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 1)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| vec4 a2[2] = LOAD_UNPACK8_HALF(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 2)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| vec4 a3[2] = LOAD_UNPACK8_HALF(src0_ptr, IMAGE_OFFSET(src0_iter, 0, 3)); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| |
| vec4 b; |
| |
| int leftover = COLS_A % 8; |
| |
| for(int i = 0; i < leftover; i++) |
| { |
| int j = i >> 2; |
| int k = i % 4; |
| |
| b = LOAD_UNPACK4_HALF(src1_ptr, IMAGE_OFFSET(src1_iter, 0, i)); |
| |
| acc0 += b * vec4(a0[j][k]); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| acc1 += b * vec4(a1[j][k]); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| acc2 += b * vec4(a2[j][k]); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| acc3 += b * vec4(a3[j][k]); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| } |
| |
| /* Multiply by the weight of vector-matrix product */ |
| acc0 = acc0 * vec4(ALPHA); |
| |
| STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, acc0); |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| STORE_PACK4_HALF(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 1), acc1); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 1 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| STORE_PACK4_HALF(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 2), acc2); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 2 |
| #if NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| STORE_PACK4_HALF(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 3), acc3); |
| #endif // NUM_ELEMS_PROCESSED_PER_THREAD_Y > 3 |
| } |
| #elif defined(MM_PROCESS_8X) /* PROCESS_8X */ |
| TENSOR_DECLARATION(1, src0Buffer, uvec4, src0_ptr, src0_shift, 4, readonly); |
| TENSOR_DECLARATION(2, src1Buffer, uvec4, src1_ptr, src1_shift, 4, readonly); |
| TENSOR_DECLARATION(3, dstBuffer, uvec4, dst_ptr, dst_shift, 4, writeonly); |
| |
| void main() |
| { |
| ImageIterator src0_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(src0_attrs, src0_shift); |
| ImageIterator src1_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(src1_attrs, src1_shift); |
| ImageIterator dst_iter = CONVERT_TO_IMAGE_ITERATOR(dst_attrs, dst_shift); |
| |
| int idx = int(gl_GlobalInvocationID.x) * int(NUM_ELEMS_PROCESSED_PER_THREAD_X); |
| /* Compute the address for the vector A and matrix B */ |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, uint(gl_GlobalInvocationID.y) * src0_attrs.stride_y * uint(NUM_ELEMS_PROCESSED_PER_THREAD_Y)); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, uint(idx) * src1_attrs.stride_x); |
| |
| /* Compute end row address for matrix A */ |
| uint end_row_vec_a = uint(CURRENT_ITEM_OFFSET_IN_BYTES(src0_iter)) + uint(COLS_A << 1); |
| |
| /* Reset accumulators */ |
| vec4 acc[2]; |
| |
| acc[0] = vec4(0.0f); |
| acc[1] = vec4(0.0f); |
| |
| for(; int(CURRENT_ITEM_OFFSET_IN_BYTES(src0_iter)) <= int(end_row_vec_a - uint(16)); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, uint(8) * src0_attrs.stride_x), TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, uint(8) * src1_attrs.stride_y)) |
| { |
| vec4 a[2] = LOAD_UNPACK8_CURRENT_ITEM_HALF(src0_ptr, src0_iter); |
| vec4 b[2]; |
| |
| for(int i = 0; i < 8; i++) |
| { |
| int j = i >> 2; |
| int k = i % 4; |
| |
| b = LOAD_UNPACK8_HALF(src1_ptr, IMAGE_OFFSET(src1_iter, 0, i)); |
| |
| acc[0] += b[0] * vec4(a[j][k]); |
| acc[1] += b[1] * vec4(a[j][k]); |
| } |
| } |
| |
| for(; int(CURRENT_ITEM_OFFSET_IN_BYTES(src0_iter)) < int(end_row_vec_a); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, uint(8) * uint(2)), TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, uint(8) * src1_attrs.stride_y)) |
| { |
| vec4 a[2] = LOAD_UNPACK8_CURRENT_ITEM_HALF(src0_ptr, src0_iter); |
| vec4 b[2]; |
| |
| int leftover = COLS_A % 8; |
| |
| for(int i = 0; i < leftover; i++) |
| { |
| int j = i >> 2; |
| int k = i % 4; |
| |
| b = LOAD_UNPACK8_HALF(src1_ptr, IMAGE_OFFSET(src1_iter, 0, i)); |
| |
| acc[0] += b[0] * vec4(a[j][k]); |
| acc[1] += b[1] * vec4(a[j][k]); |
| } |
| } |
| |
| /* Multiply by the weight of vector-matrix product */ |
| acc[0] = acc[0] * vec4(ALPHA); |
| acc[1] = acc[1] * vec4(ALPHA); |
| |
| STORE_PACK8_CURRENT_ITEM_HALF(dst_ptr, dst_iter, acc); |
| } |
| #endif /* PROCESS_8X */ |
| #endif /* GEMM_MM_FLOATING_POINT */ |
| |
| #ifdef GEMM_ACCUMULATE_BIASES |
| #if defined(ACCUM_PROCESS_4X) |
| /** This kernel accumulates each row with the biases vector |
| * |
| * @param[in, out] accum_ptr Pointer to the accumulate tensor. Supported data type: F16 |
| * @param[in] accum_attrs The attributes of the accumulate tensor |
| * @param[in] biases_ptr Pointer to the biases vector. Same as @p accum_ptr |
| * @param[in] biases_attrs The attributes of the biases tensor |
| */ |
| SHADER_PARAMS_DECLARATION |
| { |
| ImageAttributes accum_attrs; |
| VectorAttributes biases_attrs; |
| }; |
| |
| TENSOR_DECLARATION(1, accumBuffer, uvec2, accum_ptr, accum_shift, 3, restrict); |
| TENSOR_DECLARATION(2, biasesBuffer, uvec2, biases_ptr, biases_shift, 3, readonly); |
| |
| void main(void) |
| { |
| ImageIterator accum_iter = CONVERT_TO_IMAGE_ITERATOR(accum_attrs, accum_shift); |
| VectorIterator biases_iter = CONVERT_TO_VECTOR_ITERATOR(biases_attrs, biases_shift); |
| |
| vec4 u[2]; |
| u[0] = LOAD_UNPACK4_CURRENT_ITEM_HALF(accum_ptr, accum_iter); |
| u[1] = LOAD_UNPACK4_CURRENT_ITEM_HALF(biases_ptr, biases_iter); |
| |
| vec4 tmp; |
| tmp = u[0] + u[1]; |
| STORE_PACK4_CURRENT_ITEM_HALF(accum_ptr, accum_iter, tmp); |
| } |
| #elif defined(ACCUM_PROCESS_8X) /* ACCUM_PROCESS_8X */ |
| SHADER_PARAMS_DECLARATION |
| { |
| ImageAttributes accum_attrs; |
| VectorAttributes biases_attrs; |
| }; |
| |
| TENSOR_DECLARATION(1, accumBuffer, uvec4, accum_ptr, accum_shift, 4, restrict); |
| TENSOR_DECLARATION(2, biasesBuffer, uvec4, biases_ptr, biases_shift, 4, readonly); |
| |
| void main(void) |
| { |
| ImageIterator accum_iter = CONVERT_TO_IMAGE_ITERATOR(accum_attrs, accum_shift); |
| VectorIterator biases_iter = CONVERT_TO_VECTOR_ITERATOR(biases_attrs, biases_shift); |
| |
| vec4 u[2] = LOAD_UNPACK8_CURRENT_ITEM_HALF(accum_ptr, accum_iter); |
| vec4 v[2] = LOAD_UNPACK8_CURRENT_ITEM_HALF(biases_ptr, biases_iter); |
| |
| vec4 r[2]; |
| r[0] = u[0] + v[0]; |
| r[1] = u[1] + v[1]; |
| STORE_PACK8_CURRENT_ITEM_HALF(accum_ptr, accum_iter, r); |
| } |
| #endif /* ACCUM_PROCESS_8X */ |
| #endif /* GEMM_ACCUMULATE_BIASES */ |
| |
| #ifdef GEMM_MM_INTERLEAVED_TRANSPOSED |
| /** This OpenGL ES kernel is optimised for Midgard. It computes the matrix multiplication between matrix A (src0) and matrix B (src1) |
| * Matrix A and matrix B must be reshaped respectively with @ref gemm_interleave4x4_32bit and @ref gemm_transpose1x4 before running the matrix multiplication |
| * |
| * @note The optional value of scalar alpha is passed at compile time using -DALPHA=alpha |
| * |
| * @param[in] src0_ptr Pointer to the source matrix. Supported data types: F16 |
| * @param[in] src0_attrs The attributes of the source matrix |
| * @param[in] src1_ptr Pointer to the source matrix. Supported data types: same as @p src0_ptr |
| * @param[in] src1_attrs The attributes of the source matrix |
| * @param[out] dst_ptr Pointer to the destination matrix Supported data types: same as @p src0_ptr |
| * @param[in] dst_attrs The attributes of the destination matrix |
| */ |
| SHADER_PARAMS_DECLARATION |
| { |
| ImageAttributes src0_attrs; |
| ImageAttributes src1_attrs; |
| ImageAttributes dst_attrs; |
| }; |
| TENSOR_DECLARATION(1, src0Buffer, uvec2, src0_ptr, src0_shift, 3, readonly); |
| TENSOR_DECLARATION(2, src1Buffer, uvec4, src1_ptr, src1_shift, 4, readonly); |
| TENSOR_DECLARATION(3, dstBuffer, uvec4, dst_ptr, dst_shift, 4, writeonly); |
| |
| void main() |
| { |
| ImageIterator src0_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(src0_attrs, src0_shift); |
| ImageIterator src1_iter = CONVERT_TO_IMAGE_ITERATOR_NO_STEP(src1_attrs, src1_shift); |
| ImageIterator dst_iter = CONVERT_TO_IMAGE_ITERATOR(dst_attrs, dst_shift); |
| |
| /* Compute address for matrix A and B */ |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, uint(gl_GlobalInvocationID.y) * (src0_attrs.stride_y)); |
| TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, uint(gl_GlobalInvocationID.x) * (src1_attrs.stride_y)); |
| /* Compute end row address for matrix B */ |
| int end_row_mtx_b = (int(CURRENT_ITEM_OFFSET_IN_BYTES(src1_iter)) >> 1) + int(COLS_B); |
| |
| /* Reset accumulators */ |
| vec4 c00[2]; |
| vec4 c10[2]; |
| vec4 c20[2]; |
| vec4 c30[2]; |
| c00[0] = vec4(0.0f); |
| c00[1] = vec4(0.0f); |
| c10[0] = vec4(0.0f); |
| c10[1] = vec4(0.0f); |
| c20[0] = vec4(0.0f); |
| c20[1] = vec4(0.0f); |
| c30[0] = vec4(0.0f); |
| c30[1] = vec4(0.0f); |
| |
| // FIXME: loop unrolling really needed for GLES? |
| for(; (int(CURRENT_ITEM_OFFSET_IN_BYTES(src1_iter)) >> 1) <= (end_row_mtx_b - 16); TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, 16), TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, 32)) |
| { |
| /* Load values from matrix A (interleaved) and matrix B (transposed) */ |
| vec4 a0 = LOAD_UNPACK4_CURRENT_ITEM_HALF(src0_ptr, src0_iter); |
| vec4 b0[2] = LOAD_UNPACK8_CURRENT_ITEM_HALF(src1_ptr, src1_iter); |
| |
| c00[0] += vec4(a0.x) * b0[0]; |
| c00[1] += vec4(a0.x) * b0[1]; |
| c10[0] += vec4(a0.y) * b0[0]; |
| c10[1] += vec4(a0.y) * b0[1]; |
| c20[0] += vec4(a0.z) * b0[0]; |
| c20[1] += vec4(a0.z) * b0[1]; |
| c30[0] += vec4(a0.w) * b0[0]; |
| c30[1] += vec4(a0.w) * b0[1]; |
| |
| /* Load values from matrix A (interleaved) and matrix B (transposed) */ |
| a0 = LOAD_UNPACK4_HALF(src0_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(src0_iter, 8)); |
| b0 = LOAD_UNPACK8_HALF(src1_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(src1_iter, 16)); |
| |
| c00[0] += vec4(a0.x) * b0[0]; |
| c00[1] += vec4(a0.x) * b0[1]; |
| c10[0] += vec4(a0.y) * b0[0]; |
| c10[1] += vec4(a0.y) * b0[1]; |
| c20[0] += vec4(a0.z) * b0[0]; |
| c20[1] += vec4(a0.z) * b0[1]; |
| c30[0] += vec4(a0.w) * b0[0]; |
| c30[1] += vec4(a0.w) * b0[1]; |
| } |
| |
| for(; (int(CURRENT_ITEM_OFFSET_IN_BYTES(src1_iter)) >> 1) < end_row_mtx_b; TENSOR_ITERATOR_ADVANCE_IN_BYTES(src0_iter, 8), TENSOR_ITERATOR_ADVANCE_IN_BYTES(src1_iter, 16)) |
| { |
| /* Load values from matrix A (interleaved) and matrix B (transposed) */ |
| vec4 a0 = LOAD_UNPACK4_CURRENT_ITEM_HALF(src0_ptr, src0_iter); |
| vec4 b0[2] = LOAD_UNPACK8_CURRENT_ITEM_HALF(src1_ptr, src1_iter); |
| |
| c00[0] += vec4(a0.x) * b0[0]; |
| c00[1] += vec4(a0.x) * b0[1]; |
| c10[0] += vec4(a0.y) * b0[0]; |
| c10[1] += vec4(a0.y) * b0[1]; |
| c20[0] += vec4(a0.z) * b0[0]; |
| c20[1] += vec4(a0.z) * b0[1]; |
| c30[0] += vec4(a0.w) * b0[0]; |
| c30[1] += vec4(a0.w) * b0[1]; |
| } |
| |
| /* Multiply by the weight of matrix product */ |
| c00[0] = c00[0] * vec4(ALPHA); |
| c00[1] = c00[1] * vec4(ALPHA); |
| c10[0] = c10[0] * vec4(ALPHA); |
| c10[1] = c10[1] * vec4(ALPHA); |
| c20[0] = c20[0] * vec4(ALPHA); |
| c20[1] = c20[1] * vec4(ALPHA); |
| c30[0] = c30[0] * vec4(ALPHA); |
| c30[1] = c30[1] * vec4(ALPHA); |
| |
| /* Store 4x8 block */ |
| STORE_PACK8_HALF(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 0), c00); |
| STORE_PACK8_HALF(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 1), c10); |
| STORE_PACK8_HALF(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 2), c20); |
| STORE_PACK8_HALF(dst_ptr, IMAGE_OFFSET(dst_iter, 0, 3), c30); |
| } |
| #endif /* GEMM_MM_INTERLEAVED_TRANSPOSED */ |
| #else /* DATA_TYPE_FP16 */ |
| #error Data type not supported |
| #endif /* DATA_TYPE_FP32 */ |