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/*
* Copyright (c) 2023-2024 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/GpuMatMul.h"
#include "arm_compute/core/KernelDescriptors.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/CL/CLScheduler.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/ClComponentMatMul.h"
#include "src/dynamic_fusion/sketch/gpu/GpuWorkloadSketchImpl.h"
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
namespace
{
void calculate_and_init_dst_if_empty(ITensorInfo *dst,
const ITensorInfo *lhs,
const ITensorInfo *rhs,
const MatMulAttributes &attributes,
const GpuMatMulSettings &settings)
{
ARM_COMPUTE_UNUSED(attributes);
if (dst->total_size() == 0U)
{
const auto dst_shape = misc::shape_calculator::compute_matmul_shape(
lhs->tensor_shape(), rhs->tensor_shape(),
MatMulKernelInfo(attributes.adj_lhs(), attributes.adj_rhs(), settings.m0(), settings.n0(), settings.k0()));
auto_init_if_empty(*dst, lhs->clone()->set_tensor_shape(dst_shape));
}
}
/* A helper method to reduce the duplication in dst tensor initialization
* when calling validate()
*/
Status is_supported_op_helper(const GpuWorkloadContext &context,
const ITensorInfo *lhs,
const ITensorInfo *rhs,
const ITensorInfo *dst,
const MatMulAttributes &attributes,
const GpuMatMulSettings &settings)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(lhs, rhs);
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;
}
calculate_and_init_dst_if_empty(&dst_info_to_validate, lhs, rhs, attributes, settings);
// Check support level
// Data type
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(lhs, 1, DataType::F16, DataType::F32);
// Check components
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 MatMul Component
{
const auto properties =
IGpuKernelComponent::Properties().stage(UnitWorkloadStage{UnitWorkloadStage::Stage::Run});
ArgumentPack<ITensorInfo> arguments;
arguments.add_const_tensor(ACL_SRC_0, lhs);
arguments.add_const_tensor(ACL_SRC_1, rhs);
arguments.add_const_tensor(ACL_DST_0, dst_info_to_validate_ptr);
ARM_COMPUTE_RETURN_ON_ERROR(ClComponentMatMul::validate(properties, arguments, attributes, settings));
}
}
else
{
ARM_COMPUTE_RETURN_ERROR_MSG("Unimplemented Gpu language");
}
return Status{};
}
constexpr GpuOperatorType operator_type = GpuOperatorType::Complex;
} // namespace
int GpuMatMulSettings::n0() const
{
return _n0;
}
GpuMatMulSettings &GpuMatMulSettings::n0(int n0)
{
_n0 = n0;
return *this;
}
int GpuMatMulSettings::m0() const
{
return _m0;
}
GpuMatMulSettings &GpuMatMulSettings::m0(int m0)
{
_m0 = m0;
return *this;
}
int GpuMatMulSettings::k0() const
{
return _k0;
}
GpuMatMulSettings &GpuMatMulSettings::k0(int k0)
{
_k0 = k0;
return *this;
}
Status GpuMatMul::is_supported_op(const GpuWorkloadContext &context,
const ITensorInfo *lhs,
const ITensorInfo *rhs,
const MatMulAttributes &attributes,
const GpuMatMulSettings &settings)
{
return is_supported_op_helper(context, lhs, rhs, nullptr, attributes, settings);
}
Status GpuMatMul::validate_op(const GpuWorkloadSketch &sketch,
const ITensorInfo *lhs,
const ITensorInfo *rhs,
const MatMulAttributes &attributes,
const GpuMatMulSettings &settings)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(lhs, rhs);
// Check if tensors have valid id. I.e. they are created from a sketch
ARM_COMPUTE_RETURN_ERROR_ON(!lhs->has_valid_id() || !rhs->has_valid_id());
// Refer to GpuMatmul::validate_op() for id-validness of this TensorInfo object
TensorInfo dst_info_to_validate;
// Auto initialize dst tensor info
calculate_and_init_dst_if_empty(&dst_info_to_validate, lhs, rhs, attributes, settings);
// Perform fusion test
// Check if operator meets fusion constraints
ArgumentPack<ITensorInfo> tensors;
tensors.add_const_tensor(ACL_SRC_0, lhs);
tensors.add_const_tensor(ACL_SRC_1, rhs);
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(), lhs, rhs, &dst_info_to_validate, attributes, settings);
}
ITensorInfo *GpuMatMul::create_op(GpuWorkloadSketch &sketch,
ITensorInfo *lhs,
ITensorInfo *rhs,
const Attributes &attributes,
const Settings &settings)
{
ARM_COMPUTE_LOG_PARAMS(lhs, rhs, attributes, settings);
ITensorInfo *dst = sketch.implementation().create_virtual_tensor();
// Assert validation
ARM_COMPUTE_ERROR_THROW_ON(GpuMatMul::validate_op(sketch, lhs, rhs, attributes, settings));
ARM_COMPUTE_ERROR_ON_NULLPTR(lhs, rhs, dst);
// Auto initialize dst tensor
calculate_and_init_dst_if_empty(dst, lhs, rhs, attributes, settings);
// Translate into components and add to component graph
auto &comp_graph = sketch.implementation().component_graph();
const auto sketch_ctx = sketch.implementation().context();
if (sketch_ctx->gpu_language() == GpuLanguage::OpenCL)
{
auto properties = IGpuKernelComponent::Properties();
properties.stage(UnitWorkloadStage{UnitWorkloadStage::Stage::Run});
ArgumentPack<ITensorInfo> arguments;
arguments.add_const_tensor(ACL_SRC_0, lhs);
arguments.add_const_tensor(ACL_SRC_1, rhs);
arguments.add_const_tensor(ACL_DST_0, dst);
comp_graph.add_new_component<ClComponentMatMul>(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, lhs);
tensors.add_const_tensor(ACL_SRC_1, rhs);
tensors.add_const_tensor(ACL_DST_0, dst);
const auto 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