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/*
* 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 "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuCast.h"
#include "src/common/utils/Log.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/dynamic_fusion/sketch/ArgumentPack.h"
#include "src/dynamic_fusion/sketch/gpu/components/cl/ClComponentCast.h"
#include "src/dynamic_fusion/sketch/gpu/GpuWorkloadSketchImpl.h"
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
namespace
{
Status is_supported_op_helper(const GpuWorkloadContext &context,
const ITensorInfo *src,
const ITensorInfo *dst,
const CastAttributes &attributes)
{
ARM_COMPUTE_RETURN_ERROR_ON(src == dst);
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
TensorInfo dst_info_to_validate;
const ITensorInfo *dst_info_to_validate_ptr = &dst_info_to_validate;
if (dst != nullptr)
{
dst_info_to_validate_ptr = dst;
}
auto_init_if_empty(dst_info_to_validate, src->clone()->set_data_type(attributes.data_type()));
// Check support level
// Data Type
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst_info_to_validate_ptr, 1, DataType::F16, DataType::F32);
if (context.gpu_language() == GpuLanguage::OpenCL)
{
const auto cl_compile_ctx = context.cl_compile_context();
ARM_COMPUTE_RETURN_ERROR_ON(cl_compile_ctx == nullptr);
// Validate Cast Component
{
const auto properties =
IGpuKernelComponent::Properties().stage(UnitWorkloadStage{UnitWorkloadStage::Stage::Run});
auto settings = ClComponentCast::Settings();
ArgumentPack<ITensorInfo> arguments;
arguments.add_const_tensor(ACL_SRC_0, src);
arguments.add_const_tensor(ACL_DST_0, dst_info_to_validate_ptr);
ARM_COMPUTE_RETURN_ON_ERROR(ClComponentCast::validate(properties, arguments, attributes, settings));
}
}
else
{
ARM_COMPUTE_RETURN_ERROR_MSG("Unimplemented Gpu language");
}
return Status{};
}
constexpr GpuOperatorType operator_type = GpuOperatorType::Simple;
} // namespace
Status
GpuCast::is_supported_op(const GpuWorkloadContext &context, const ITensorInfo *src, const CastAttributes &attributes)
{
return is_supported_op_helper(context, src, nullptr, attributes);
}
Status GpuCast::validate_op(const GpuWorkloadSketch &sketch, const ITensorInfo *src, const CastAttributes &attributes)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src);
ARM_COMPUTE_RETURN_ERROR_ON(!src->has_valid_id());
// Refer to GpuConv2d::validate_op() for id-validness of this TensorInfo object
TensorInfo dst_info_to_validate;
// Auto initialize dst tensor info
auto_init_if_empty(dst_info_to_validate, src->clone()->set_data_type(attributes.data_type()));
// Perform fusion test
// Pack tensor infos
ArgumentPack<ITensorInfo> tensors;
tensors.add_const_tensor(ACL_SRC_0, src);
tensors.add_const_tensor(ACL_DST_0, &dst_info_to_validate);
const auto op = sketch.implementation().operator_group().new_operator(operator_type, tensors);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(!sketch.implementation().operator_group().try_add_operator(op),
"Operator fusion test failed. This operator cannot be fused into the workload");
// Check if configuration is supported
return is_supported_op_helper(*sketch.gpu_context(), src, &dst_info_to_validate, attributes);
}
ITensorInfo *GpuCast::create_op(GpuWorkloadSketch &sketch, ITensorInfo *src, const CastAttributes &attributes)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(src);
ARM_COMPUTE_LOG_PARAMS(src, attributes);
ARM_COMPUTE_ERROR_THROW_ON(GpuCast::validate_op(sketch, src, attributes));
ITensorInfo *dst = sketch.implementation().create_virtual_tensor();
ARM_COMPUTE_ERROR_ON_NULLPTR(dst);
// Auto initialize dst tensor info if empty
auto_init_if_empty(*dst, src->clone()->set_data_type(attributes.data_type()));
// Translate into components and add to component graph
GpuKernelComponentGraph &comp_graph = sketch.implementation().component_graph();
const auto *sketch_ctx = sketch.implementation().context();
if (sketch_ctx->gpu_language() == GpuLanguage::OpenCL)
{
ARM_COMPUTE_ERROR_ON(sketch_ctx->cl_compile_context() == nullptr);
// Add Depthwise Conv2d Component
{
const auto properties =
IGpuKernelComponent::Properties().stage(UnitWorkloadStage{UnitWorkloadStage::Stage::Run});
auto settings = ClComponentCast::Settings();
ArgumentPack<ITensorInfo> arguments;
arguments.add_const_tensor(ACL_SRC_0, src);
arguments.add_const_tensor(ACL_DST_0, dst);
comp_graph.add_new_component<ClComponentCast>(properties, arguments, attributes, settings);
}
}
else
{
ARM_COMPUTE_ERROR("Unimplemented Gpu language");
}
// Set up fusion test by adding to the Operator Group
// Note this has to be performed after all the components have been successfully added to the component graph
// Pack tensor infos
ArgumentPack<ITensorInfo> tensors;
tensors.add_const_tensor(ACL_SRC_0, src);
tensors.add_const_tensor(ACL_DST_0, dst);
const Operator op = sketch.implementation().operator_group().new_operator(operator_type, tensors);
sketch.implementation().operator_group().add_operator(op);
return dst;
}
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute