diff options
Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.cpp')
| -rw-r--r-- | src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.cpp | 166 |
1 files changed, 166 insertions, 0 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.cpp b/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.cpp new file mode 100644 index 0000000000..783a17df30 --- /dev/null +++ b/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.cpp @@ -0,0 +1,166 @@ +/* + * Copyright (c) 2022-2024 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/utils/misc/ShapeCalculator.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/dynamic_fusion/sketch/attributes/Conv2dAttributes.h" + +#include "src/core/CL/CLValidate.h" +#include "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwDirectConv2d.h" + +namespace arm_compute +{ +namespace experimental +{ +namespace dynamic_fusion +{ +bool ClComponentDirectConv2dSettings::export_to_cl_image() const +{ + return _desc.export_weights_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<GpuCkwDirectConv2d>(id, tensors, attributes, settings)} +{ +} + +ClComponentDirectConv2d::~ClComponentDirectConv2d() +{ +} + +const IGpuCkwComponentDriver *ClComponentDirectConv2d::ckw_component_driver() const +{ + return _component_writer.get(); +} + +} // namespace dynamic_fusion +} // namespace experimental +} // namespace arm_compute |