diff options
Diffstat (limited to 'src/gpu/cl/kernels/ClMatMulNativeKernel.cpp')
| -rw-r--r-- | src/gpu/cl/kernels/ClMatMulNativeKernel.cpp | 34 |
1 files changed, 25 insertions, 9 deletions
diff --git a/src/gpu/cl/kernels/ClMatMulNativeKernel.cpp b/src/gpu/cl/kernels/ClMatMulNativeKernel.cpp index 205396a639..545a5b2f62 100644 --- a/src/gpu/cl/kernels/ClMatMulNativeKernel.cpp +++ b/src/gpu/cl/kernels/ClMatMulNativeKernel.cpp @@ -120,7 +120,8 @@ ClMatMulNativeKernel::ClMatMulNativeKernel() _type = CLKernelType::GEMM; } -Status ClMatMulNativeKernel::validate(const ITensorInfo *lhs, const ITensorInfo *rhs, const ITensorInfo *dst, const MatMulKernelInfo &matmul_kernel_info, const ActivationLayerInfo &act_info) +Status ClMatMulNativeKernel::validate(const ITensorInfo *lhs, const ITensorInfo *rhs, const ITensorInfo *bias, const ITensorInfo *dst, const MatMulKernelInfo &matmul_kernel_info, + const ActivationLayerInfo &act_info) { ARM_COMPUTE_UNUSED(act_info); ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(lhs, rhs, dst); @@ -130,21 +131,30 @@ Status ClMatMulNativeKernel::validate(const ITensorInfo *lhs, const ITensorInfo ARM_COMPUTE_RETURN_ON_ERROR(validate_input_shapes(lhs->tensor_shape(), rhs->tensor_shape(), matmul_kernel_info)); ARM_COMPUTE_RETURN_ON_ERROR(validate_export_to_cl_image(rhs, matmul_kernel_info)); + const TensorShape expected_output_shape = misc::shape_calculator::compute_matmul_shape(lhs->tensor_shape(), rhs->tensor_shape(), matmul_kernel_info); + if(dst->total_size() != 0) { - const TensorInfo tensor_info_dst = dst->clone()->set_tensor_shape(misc::shape_calculator::compute_matmul_shape(lhs->tensor_shape(), rhs->tensor_shape(), matmul_kernel_info)); + const TensorInfo tensor_info_dst = dst->clone()->set_tensor_shape(expected_output_shape); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(dst, &tensor_info_dst); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(lhs, dst); } + if(bias != nullptr) + { + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(bias, lhs); + ARM_COMPUTE_RETURN_ERROR_ON_MSG((bias->num_dimensions() > 1), "Multi dimensional bias is unsupported."); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(bias->dimension(0) != expected_output_shape[0], "First dimension of bias and output tensors must match."); + } + return Status{}; } -void ClMatMulNativeKernel::configure(const ClCompileContext &compile_context, ITensorInfo *lhs, ITensorInfo *rhs, ITensorInfo *dst, const MatMulKernelInfo &matmul_kernel_info, +void ClMatMulNativeKernel::configure(const ClCompileContext &compile_context, ITensorInfo *lhs, ITensorInfo *rhs, ITensorInfo *bias, ITensorInfo *dst, const MatMulKernelInfo &matmul_kernel_info, const ActivationLayerInfo &act_info) { ARM_COMPUTE_ERROR_ON_NULLPTR(lhs, rhs, dst, &compile_context, &matmul_kernel_info); - ARM_COMPUTE_LOG_PARAMS(lhs, rhs, dst, matmul_kernel_info); - ARM_COMPUTE_ERROR_THROW_ON(validate(lhs, rhs, dst, matmul_kernel_info)); + ARM_COMPUTE_LOG_PARAMS(lhs, rhs, bias, dst, matmul_kernel_info); + ARM_COMPUTE_ERROR_THROW_ON(validate(lhs, rhs, bias, dst, matmul_kernel_info)); // dst tensor auto initialization if not yet initialized auto_init_if_empty(*dst, lhs->clone()->set_tensor_shape(misc::shape_calculator::compute_matmul_shape(lhs->tensor_shape(), rhs->tensor_shape(), matmul_kernel_info))); @@ -176,6 +186,7 @@ void ClMatMulNativeKernel::configure(const ClCompileContext &compile_context, IT build_opts.add_option("-DPARTIAL_STORE_M0=" + support::cpp11::to_string(partial_store_m0)); build_opts.add_option("-DPARTIAL_STORE_N0=" + support::cpp11::to_string(partial_store_n0)); build_opts.add_option("-DK=" + support::cpp11::to_string(k)); + build_opts.add_option_if(bias != nullptr, "-DBIAS"); build_opts.add_option_if_else(_export_rhs_to_cl_image, "-DRHS_TENSOR_TYPE=IMAGE", "-DRHS_TENSOR_TYPE=BUFFER"); // Define values for activation function @@ -225,11 +236,12 @@ void ClMatMulNativeKernel::run_op(ITensorPack &tensors, const Window &window, cl ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); - const ICLTensor *lhs = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0)); - const ICLTensor *rhs = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1)); - ICLTensor *dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); + const ICLTensor *lhs = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0)); + const ICLTensor *rhs = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1)); + const ICLTensor *bias = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_2)); // nullptr if bias is not present + ICLTensor *dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); ARM_COMPUTE_ERROR_ON_NULLPTR(lhs, rhs, dst); - ARM_COMPUTE_LOG_PARAMS(lhs, rhs, dst); + ARM_COMPUTE_LOG_PARAMS(lhs, rhs, bias, dst); unsigned int idx = 0; Window window_collapsed = window.collapse(ICLKernel::window(), Window::DimZ); @@ -250,6 +262,10 @@ void ClMatMulNativeKernel::run_op(ITensorPack &tensors, const Window &window, cl } add_3d_tensor_nhw_argument(idx, rhs); + if(bias != nullptr) + { + add_3d_tensor_nhw_argument(idx, bias); + } add_3d_tensor_nhw_argument(idx, dst); enqueue(queue, *this, window_collapsed, lws_hint()); |