|
| 1 | +/* |
| 2 | +* Copyright 2022, Synopsys, Inc. |
| 3 | +* All rights reserved. |
| 4 | +* |
| 5 | +* This source code is licensed under the BSD-3-Clause license found in |
| 6 | +* the LICENSE file in the root directory of this source tree. |
| 7 | +* |
| 8 | +*/ |
| 9 | + |
| 10 | +#include "mli_krn_matmul_ref.hpp" |
| 11 | + |
| 12 | +using mli::krn::ref::MatMul_prepare_and_run; |
| 13 | +namespace snps_arc::metaware::mli::ref { |
| 14 | + |
| 15 | +MatMul::MatMul(void* kernel_private_data_buffer, |
| 16 | + size_t size, |
| 17 | + uint64_t membases[], int num_mems) { |
| 18 | + MLI_ASSERT(size == sizeof(MatMulPrivateData)); |
| 19 | + MatMulPrivateData private_data; |
| 20 | + memcpy(&private_data, kernel_private_data_buffer, sizeof(MatMulPrivateData)); |
| 21 | + MLI_ASSERT(private_data.kernel_id == kMatMulId); |
| 22 | + MLI_ASSERT(private_data.size == sizeof(MatMulPrivateData)); |
| 23 | + |
| 24 | + m_i_elem_size = private_data.m_in_left.get_elem_size(); |
| 25 | + m_o_elem_size = private_data.m_output.get_elem_size(); |
| 26 | + |
| 27 | + MLI_ASSERT(sizeof(int8_t) == m_i_elem_size); |
| 28 | + MLI_ASSERT(sizeof(int32_t) == m_o_elem_size); |
| 29 | + |
| 30 | + // left and right input have the same type |
| 31 | + MLI_ASSERT(private_data.m_in_right.get_elem_size() == m_i_elem_size); |
| 32 | + |
| 33 | + m_input_left = private_data.m_in_left; |
| 34 | + m_input_right = private_data.m_in_right; |
| 35 | + m_output = private_data.m_output; |
| 36 | + |
| 37 | + m_encoded_params = InternalBuffer(private_data.encoded_params, membases, num_mems); |
| 38 | + |
| 39 | + m_tile_input_left = Tensor<InternalBuffer, kMatMulRank>(m_input_left.GetSubTensor(), membases, num_mems); |
| 40 | + m_tile_input_right = Tensor<InternalBuffer, kMatMulRank>(m_input_right.GetSubTensor(), membases, num_mems); |
| 41 | + m_tile_output = Tensor<InternalBuffer, kMatMulRank>(m_output.GetSubTensor(), membases, num_mems); |
| 42 | + |
| 43 | + |
| 44 | +} |
| 45 | + |
| 46 | +mli_status MatMul::Issue() { |
| 47 | + |
| 48 | + if (m_i_elem_size == sizeof(int8_t) && |
| 49 | + m_o_elem_size == sizeof(int32_t)) { |
| 50 | + |
| 51 | + MatMul_prepare_and_run<int8_t, int8_t, int32_t, kMatMulRank> |
| 52 | + (m_tile_input_left, m_tile_input_right, m_tile_output, m_encoded_params); |
| 53 | + } else { |
| 54 | + // not supported yet |
| 55 | + return MLI_STATUS_NOT_SUPPORTED; |
| 56 | + } |
| 57 | + |
| 58 | + return MLI_STATUS_OK; |
| 59 | +} |
| 60 | + |
| 61 | +mli_status MatMul::Prefetch() { return MLI_STATUS_OK; } |
| 62 | + |
| 63 | +mli_status MatMul::Update() { |
| 64 | + |
| 65 | + m_input_left.Next(); |
| 66 | + m_input_right.Next(); |
| 67 | + m_output.Next(); |
| 68 | + |
| 69 | + const auto input_left_tile_tensor = m_input_left.GetSubTensor(); |
| 70 | + uint32_t input_left_tile_shape[kMatMulRank]; |
| 71 | + input_left_tile_tensor.get_dims(input_left_tile_shape); |
| 72 | + m_tile_input_left = Tensor<InternalBuffer, kMatMulRank>(m_tile_input_left, input_left_tile_shape); |
| 73 | + |
| 74 | + const auto input_right_tile_tensor = m_input_right.GetSubTensor(); |
| 75 | + uint32_t input_right_tile_shape[kMatMulRank]; |
| 76 | + input_right_tile_tensor.get_dims(input_right_tile_shape); |
| 77 | + m_tile_input_right = Tensor<InternalBuffer, kMatMulRank>(m_tile_input_right, input_right_tile_shape); |
| 78 | + |
| 79 | + const auto output_tile_tensor = m_output.GetSubTensor(); |
| 80 | + uint32_t output_tile_shape[kMatMulRank]; |
| 81 | + output_tile_tensor.get_dims(output_tile_shape); |
| 82 | + m_tile_output = Tensor<InternalBuffer, kMatMulRank>(m_tile_output, output_tile_shape); |
| 83 | + |
| 84 | + |
| 85 | + return MLI_STATUS_OK; |
| 86 | + |
| 87 | +} |
| 88 | + |
| 89 | +void MatMul::GetIOSizesAndOffsets(uint32_t input_left_size[kMatMulRank], uint32_t input_right_size[kMatMulRank], |
| 90 | + uint32_t output_size[kMatMulRank], |
| 91 | + int32_t input_left_offsets[kMatMulRank], int32_t input_right_offsets[kMatMulRank], |
| 92 | + int32_t output_offsets[kMatMulRank]) const{ |
| 93 | + |
| 94 | + m_input_left.get_pos(input_left_offsets); |
| 95 | + m_input_left.get_pos(input_right_offsets); |
| 96 | + m_output.get_pos(output_offsets); |
| 97 | + |
| 98 | + m_tile_input_left.get_dims(input_left_size); |
| 99 | + m_tile_input_right.get_dims(input_right_size); |
| 100 | + m_tile_output.get_dims(output_size); |
| 101 | +} |
| 102 | +} // namespace snps_arc::metaware::mli::ref |
0 commit comments