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/*
* Copyright (c) 2022 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 "src/runtime/heuristics/dwc_native/ClDWCNativeDefaultConfigBifrost.h"
#include "src/runtime/heuristics/dwc_native/ClDWCNativeHeuristicsHelpers.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/GPUTarget.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/TensorShape.h"
namespace arm_compute
{
namespace cl_dwc
{
namespace
{
DWCComputeKernelInfo configure_f32(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation,
unsigned int depth_multiplier, bool is_g71)
{
DWCComputeKernelInfo desc;
if(src->data_layout() == DataLayout::NHWC)
{
const size_t idx_c = get_data_layout_dimension_index(wei->data_layout(), DataLayoutDimension::CHANNEL);
const size_t idx_w = get_data_layout_dimension_index(wei->data_layout(), DataLayoutDimension::WIDTH);
const TensorShape wei_shape = wei->tensor_shape();
const size_t kernel_c = wei_shape[idx_c];
const size_t kernel_w = wei_shape[idx_w];
desc.export_input_to_cl_image = false;
if(is_g71)
{
desc.export_weights_to_cl_image = false;
}
else
{
desc.export_weights_to_cl_image = use_cl_image_for_weights(wei, depth_multiplier);
}
if(depth_multiplier == 1)
{
desc.n0 = 4;
}
else
{
if((depth_multiplier % 4) == 0)
{
desc.n0 = 4;
}
else if((depth_multiplier % 2) == 0)
{
desc.n0 = 2;
}
else
{
desc.n0 = 1;
}
}
// Note: If we reduce n0, export to cl_image must be false
ARM_COMPUTE_ERROR_ON((adjust_vec_size(desc.n0, kernel_c) != desc.n0) && (desc.export_weights_to_cl_image == true));
desc.n0 = adjust_vec_size(desc.n0, kernel_c);
// Set m0 only if stride_x == 1 and dilation_x == 1
if(conv_info.stride().first == 1 && dilation.x() == 1)
{
if((kernel_w >= 9) || (kernel_w == 1))
{
desc.m0 = 1;
}
else
{
desc.m0 = 2;
}
}
else
{
desc.m0 = 1;
}
}
return desc;
}
DWCComputeKernelInfo configure_f16(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation,
unsigned int depth_multiplier, bool is_g71)
{
DWCComputeKernelInfo desc;
if(src->data_layout() == DataLayout::NHWC)
{
// Src and weights have the same dimension indices
const size_t idx_c = get_data_layout_dimension_index(wei->data_layout(), DataLayoutDimension::CHANNEL);
const size_t idx_w = get_data_layout_dimension_index(wei->data_layout(), DataLayoutDimension::WIDTH);
const TensorShape src_shape = src->tensor_shape();
const TensorShape wei_shape = wei->tensor_shape();
const size_t src_w = src_shape[idx_w];
const size_t kernel_c = wei_shape[idx_c];
const size_t kernel_w = wei_shape[idx_w];
desc.export_input_to_cl_image = false;
if(is_g71)
{
desc.export_weights_to_cl_image = false;
}
else
{
desc.export_weights_to_cl_image = use_cl_image_for_weights(wei, depth_multiplier);
}
if(depth_multiplier == 1)
{
if(desc.export_weights_to_cl_image == false)
{
desc.n0 = 8;
}
else
{
desc.n0 = 4;
}
}
else
{
if((depth_multiplier % 4) == 0)
{
desc.n0 = 4;
}
else if((depth_multiplier % 2) == 0)
{
desc.n0 = 2;
}
else
{
desc.n0 = 1;
}
}
// Note: If we reduce n0, export to cl_image must be false
ARM_COMPUTE_ERROR_ON((adjust_vec_size(desc.n0, kernel_c) != desc.n0) && (desc.export_weights_to_cl_image == true));
desc.n0 = adjust_vec_size(desc.n0, kernel_c);
// Set m0 only if stride_x == 1 and dilation_x == 1
if(conv_info.stride().first == 1 && dilation.x() == 1)
{
if((kernel_w >= 9) || (kernel_w == 1))
{
desc.m0 = 1;
}
else
{
if((src_w % 5) == 0)
{
desc.m0 = 5;
}
else
{
desc.m0 = 4;
}
}
}
else
{
desc.m0 = 1;
}
}
return desc;
}
} // namespace
ClDWCNativeDefaultConfigBifrost::ClDWCNativeDefaultConfigBifrost(GPUTarget gpu)
: IClDWCNativeKernelConfig(gpu)
{
}
DWCComputeKernelInfo ClDWCNativeDefaultConfigBifrost::configure(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation,
unsigned int depth_multiplier)
{
using ConfigurationFunctionExecutorPtr = DWCComputeKernelInfo (ClDWCNativeDefaultConfigBifrost::*)(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation,
unsigned int depth_multiplier);
ClDWCNativeConfigArray<ConfigurationFunctionExecutorPtr> configs_G71(&ClDWCNativeDefaultConfigBifrost::configure_G71_f32,
&ClDWCNativeDefaultConfigBifrost::configure_G71_f16,
&ClDWCNativeDefaultConfigBifrost::configure_G7x_u8);
ClDWCNativeConfigArray<ConfigurationFunctionExecutorPtr> configs_G7x(&ClDWCNativeDefaultConfigBifrost::configure_G7x_f32,
&ClDWCNativeDefaultConfigBifrost::configure_G7x_f16,
&ClDWCNativeDefaultConfigBifrost::configure_G7x_u8);
ConfigurationFunctionExecutorPtr func = nullptr;
switch(_target)
{
case GPUTarget::G71:
func = configs_G71.get_function(src->data_type());
break;
default:
func = configs_G7x.get_function(src->data_type());
break;
}
ARM_COMPUTE_ERROR_ON_MSG(func == nullptr, "Data type not supported for depthwise convolution");
return (this->*func)(src, wei, conv_info, dilation, depth_multiplier);
}
DWCComputeKernelInfo ClDWCNativeDefaultConfigBifrost::configure_G71_f32(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation,
unsigned int depth_multiplier)
{
return configure_f32(src, wei, conv_info, dilation, depth_multiplier, true);
}
DWCComputeKernelInfo ClDWCNativeDefaultConfigBifrost::configure_G71_f16(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation,
unsigned int depth_multiplier)
{
return configure_f16(src, wei, conv_info, dilation, depth_multiplier, true);
}
DWCComputeKernelInfo ClDWCNativeDefaultConfigBifrost::configure_G7x_f32(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation,
unsigned int depth_multiplier)
{
return configure_f32(src, wei, conv_info, dilation, depth_multiplier, false);
}
DWCComputeKernelInfo ClDWCNativeDefaultConfigBifrost::configure_G7x_f16(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation,
unsigned int depth_multiplier)
{
return configure_f16(src, wei, conv_info, dilation, depth_multiplier, false);
}
DWCComputeKernelInfo ClDWCNativeDefaultConfigBifrost::configure_G7x_u8(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info, const Size2D &dilation,
unsigned int depth_multiplier)
{
ARM_COMPUTE_UNUSED(wei);
DWCComputeKernelInfo desc;
if(src->data_layout() == DataLayout::NHWC)
{
desc.export_input_to_cl_image = false;
desc.export_weights_to_cl_image = false;
desc.n0 = (depth_multiplier == 1) ? 4 : 1;
if(conv_info.stride().first == 1 && dilation.x() == 1 && depth_multiplier == 1)
{
desc.m0 = 2;
}
else
{
desc.m0 = 1;
}
}
return desc;
}
} // namespace cl_dwc
} // namespace arm_compute