diff options
Diffstat (limited to 'src/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.cpp')
-rw-r--r-- | src/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.cpp | 23 |
1 files changed, 18 insertions, 5 deletions
diff --git a/src/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.cpp b/src/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.cpp index 2d4d231f5f..cf20bc6a7a 100644 --- a/src/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.cpp +++ b/src/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.cpp @@ -108,6 +108,7 @@ void CLGEMMLowpMatrixMultiplyCore::configure(const ICLTensor *a, const ICLTensor const ICLTensor *matrix_a = a; const ICLTensor *matrix_b = b; + GEMMRHSMatrixInfo rhs_info; // Arguments used by GEMMReshapeInfo // If we pass the matrix A and matrix B reshaped to CLGEMMMatrixMultiplyKernel, we need to pass m, n, k, mult_transpose1xW_width and mult_interleave4x4_height to CLGEMMReshapeInfo @@ -120,6 +121,11 @@ void CLGEMMLowpMatrixMultiplyCore::configure(const ICLTensor *a, const ICLTensor const int depth_output_gemm3d = gemm_info.depth_output_gemm3d(); constexpr int mult_transpose1xW_width = 1; constexpr int mult_interleave4x4_height = 1; + rhs_info.n0 = 16 / b->info()->element_size(); + rhs_info.k0 = 1; + rhs_info.h0 = mult_transpose1xW_width; + rhs_info.interleave = false; + rhs_info.transpose = false; // Check if we need to reshape the matrix A and matrix B _is_interleaved_transposed = is_interleaved_transposed(m, n, k, _reshape_b_only_on_first_run, gpu_target); @@ -142,7 +148,7 @@ void CLGEMMLowpMatrixMultiplyCore::configure(const ICLTensor *a, const ICLTensor _mtx_a_reshape_kernel.configure(a, &_tmp_a, mult_interleave4x4_height, gemm_info.reinterpret_input_as_3d(), unroll_block); // Configure transpose kernel - _mtx_b_reshape_kernel.configure(b, &_tmp_b, mult_transpose1xW_width); + _mtx_b_reshape_kernel.configure(b, &_tmp_b, rhs_info); } // Initialize matrix B reduction kernel only if _a_offset is not equal to 0 @@ -233,8 +239,9 @@ Status CLGEMMLowpMatrixMultiplyCore::validate(const ITensorInfo *a, const ITenso const ITensorInfo *matrix_a_info = a; const ITensorInfo *matrix_b_info = b; - TensorInfo tmp_a_info{}; - TensorInfo tmp_b_info{}; + TensorInfo tmp_a_info{}; + TensorInfo tmp_b_info{}; + GEMMRHSMatrixInfo rhs_info; bool reinterpret_input_as_3d = gemm_info.reinterpret_input_as_3d(); const int m = reinterpret_input_as_3d ? (a->dimension(1) * a->dimension(2)) : a->dimension(1); @@ -243,6 +250,11 @@ Status CLGEMMLowpMatrixMultiplyCore::validate(const ITensorInfo *a, const ITenso constexpr int mult_transpose1xW_width = 1; constexpr int mult_interleave4x4_height = 1; const int depth_output_gemm3d = gemm_info.depth_output_gemm3d(); + rhs_info.n0 = 16 / b->element_size(); + rhs_info.k0 = 1; + rhs_info.h0 = mult_transpose1xW_width; + rhs_info.interleave = false; + rhs_info.transpose = false; bool reshape_matrices = is_interleaved_transposed(m, n, k, gemm_info.reshape_b_only_on_first_run(), CLScheduler::get().target()); @@ -264,8 +276,9 @@ Status CLGEMMLowpMatrixMultiplyCore::validate(const ITensorInfo *a, const ITenso ARM_COMPUTE_RETURN_ON_ERROR(CLGEMMInterleave4x4Kernel::validate(a, &tmp_a_info, mult_interleave4x4_height, gemm_info.reinterpret_input_as_3d())); // Validate transpose kernel - auto_init_if_empty(tmp_b_info, b->clone()->set_tensor_shape(compute_transpose1xW_with_element_size_shape(*b, mult_transpose1xW_width))); - ARM_COMPUTE_RETURN_ON_ERROR(CLGEMMTranspose1xWKernel::validate(b, &tmp_b_info, mult_transpose1xW_width)); + + auto_init_if_empty(tmp_b_info, b->clone()->set_tensor_shape(compute_rhs_reshaped_shape(*b, rhs_info))); + ARM_COMPUTE_RETURN_ON_ERROR(CLGEMMReshapeRHSMatrixKernel::validate(b, &tmp_b_info, rhs_info)); } TensorInfo info_vector_sum_col, info_vector_sum_row; |