| /* |
| * Copyright (c) 2022-2023 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. |
| */ |
| #include "ClComponentDirectConv2d.h" |
| |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "arm_compute/dynamic_fusion/sketch/attributes/Conv2dAttributes.h" |
| #include "src/core/CL/CLValidate.h" |
| #include "src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateDirectConv2d.h" |
| |
| namespace arm_compute |
| { |
| namespace experimental |
| { |
| namespace dynamic_fusion |
| { |
| ClComponentDirectConv2dSettings &ClComponentDirectConv2dSettings::export_to_cl_image(bool cl_image) |
| { |
| _export_to_cl_image = cl_image; |
| return *this; |
| } |
| |
| bool ClComponentDirectConv2dSettings::export_to_cl_image() const |
| { |
| return _export_to_cl_image; |
| } |
| |
| ClComponentDirectConv2dSettings &ClComponentDirectConv2dSettings::fast_relaxed_math(bool fast_relaxed_math) |
| { |
| _fast_relaxed_math = fast_relaxed_math; |
| return *this; |
| } |
| |
| bool ClComponentDirectConv2dSettings::fast_relaxed_math() const |
| { |
| return _fast_relaxed_math; |
| } |
| |
| ClComponentDirectConv2dSettings &ClComponentDirectConv2dSettings::direct_conv_descriptor(const DirectConvComputeKernelInfo &desc) |
| { |
| _desc = desc; |
| return *this; |
| } |
| |
| DirectConvComputeKernelInfo ClComponentDirectConv2dSettings::direct_conv_descriptor() const |
| { |
| return _desc; |
| } |
| |
| Status ClComponentDirectConv2d::validate( |
| const Properties &properties, |
| const ArgumentPack<ITensorInfo> &tensors, |
| const Attributes &attributes, |
| const Settings &settings) |
| { |
| ARM_COMPUTE_UNUSED(properties); |
| const auto src = tensors.get_const_tensor(TensorType::ACL_SRC_0); |
| const auto wei = tensors.get_const_tensor(TensorType::ACL_SRC_1); |
| const auto bia = tensors.get_const_tensor(TensorType::ACL_SRC_2); |
| const auto dst = tensors.get_const_tensor(TensorType::ACL_DST_0); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, wei, dst); |
| |
| // 1. Check validity |
| // Matching data type |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, wei); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); |
| if(bia != nullptr) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, bia); |
| } |
| |
| // Matching data layout |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(src, wei); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(src, dst); |
| if(bia != nullptr) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(src, bia); |
| } |
| |
| // All tensor infos are initialized |
| ARM_COMPUTE_RETURN_ERROR_ON(src->tensor_shape().total_size() == 0); |
| ARM_COMPUTE_RETURN_ERROR_ON(wei->tensor_shape().total_size() == 0); |
| ARM_COMPUTE_RETURN_ERROR_ON(dst->tensor_shape().total_size() == 0); |
| if(bia != nullptr) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON(bia->tensor_shape().total_size() == 0); |
| } |
| // Device requirements are met |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src); |
| // wei shape is correct |
| const DataLayout data_layout = src->data_layout(); |
| const int channel_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(wei->dimension(channel_idx) != src->dimension(channel_idx), "Weights feature map dimension should match the respective src's one"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(wei->num_dimensions() > 4, "Weights can be at most 4 dimensional"); |
| |
| // dst shape is correct |
| PadStrideInfo legacy_pad_stride(attributes.stride().x(), attributes.stride().y(), attributes.pad().left, attributes.pad().right, attributes.pad().top, |
| attributes.pad().bottom, DimensionRoundingType{}); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), |
| misc::shape_calculator::compute_deep_convolution_shape(*src, *wei, legacy_pad_stride)); |
| |
| // bia shape is correct |
| if(bia != nullptr) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(bia->dimension(0) != wei->dimension(3), |
| "Biases size and number of dst feature maps should match"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(bia->num_dimensions() > 1, |
| "Biases should be one dimensional"); |
| } |
| |
| // 2. Check support level |
| // Data type |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32); |
| // Data layout |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(src, DataLayout::NHWC); |
| |
| const auto desc = settings.direct_conv_descriptor(); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(desc.n0 != 1 && desc.n0 != 2 && desc.n0 != 3 && desc.n0 != 4 && desc.n0 != 8 && desc.n0 != 16, |
| "N0 can only be: 1, 2, 3, 4, 8, and 16"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(desc.k0 != 1 && desc.k0 != 2 && desc.k0 != 3 && desc.k0 != 4 && desc.k0 != 8 && desc.k0 != 16, |
| "K0 can only be: 1, 2, 3, 4, 8, and 16"); |
| return Status{}; |
| } |
| |
| ClComponentDirectConv2d::ClComponentDirectConv2d( |
| ComponentId id, |
| const Properties &properties, |
| const ArgumentPack<ITensorInfo> &tensors, |
| const Attributes &attributes, |
| const Settings &settings) |
| : IGpuKernelComponent{ id, properties, tensors }, |
| _component_writer{ std::make_unique<ClTemplateDirectConv2d>(id, tensors, attributes, settings) } |
| { |
| } |
| ClComponentDirectConv2d::~ClComponentDirectConv2d() |
| { |
| } |
| const IGpuTemplateComponentWriter *ClComponentDirectConv2d::template_writer() const |
| { |
| return _component_writer.get(); |
| } |
| } // namespace dynamic_fusion |
| } // namespace experimental |
| } // namespace arm_compute |