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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/GpuSoftmax.h"
#include "arm_compute/core/Error.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/GpuOperatorProperties.h"
#include "src/dynamic_fusion/sketch/gpu/GpuWorkloadSketchImpl.h"
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
namespace
{
GpuOperatorType operator_type = GpuOperatorType::Unfusable;
} // namespace
Status GpuSoftmax::is_supported_op(const GpuWorkloadContext &context,
const ITensorInfo *src,
const ITensorInfo *dst,
const Attributes &attributes)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
TensorInfo dst_info_to_validate;
// Auto initialize dst tensor info
if (dst != nullptr)
{
dst_info_to_validate = *dst;
}
else
{
auto_init_if_empty(dst_info_to_validate, *src->clone());
}
// 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);
const KernelProperties properties =
IGpuKernelComponent::Properties().stage(UnitWorkloadStage{UnitWorkloadStage::Stage::Run});
TensorShape logits_sum_shape = src->tensor_shape();
TensorInfo logits(src->clone()->set_tensor_shape(logits_sum_shape));
// The sum tensor dim0 only need one element
logits_sum_shape.set(0, 1);
TensorInfo sum(src->clone()->set_tensor_shape(logits_sum_shape));
// Validate Component
ArgumentPack<ITensorInfo> arguments_exp_sum;
ArgumentPack<ITensorInfo> arguments_norm;
arguments_exp_sum.add_const_tensor(ACL_SRC_0, src);
arguments_exp_sum.add_const_tensor(ACL_DST_0, &sum);
arguments_exp_sum.add_const_tensor(ACL_DST_1, &logits);
arguments_norm.add_const_tensor(ACL_SRC_0, &logits);
arguments_norm.add_const_tensor(ACL_SRC_1, &sum);
arguments_norm.add_const_tensor(ACL_DST_0, &dst_info_to_validate);
ARM_COMPUTE_UNUSED(properties, attributes);
return Status(ErrorCode::RUNTIME_ERROR, "GpuSoftmax is not implemented");
}
else
{
ARM_COMPUTE_RETURN_ERROR_MSG("Unimplemented Gpu language");
}
return Status{ErrorCode::RUNTIME_ERROR, "GpuSoftmax is not Supported"};
}
Status GpuSoftmax::validate_op(const GpuWorkloadSketch &sketch,
const ITensorInfo *src,
const ITensorInfo *dst,
const Attributes &attributes)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
ARM_COMPUTE_RETURN_ERROR_ON(!src->has_valid_id() || !dst->has_valid_id());
ARM_COMPUTE_RETURN_ERROR_ON_MSG(src->num_dimensions() > 4, "Only up to 4 dimensions are supported");
ARM_COMPUTE_RETURN_ERROR_ON(attributes.axis() < static_cast<int32_t>(-src->num_dimensions()) ||
static_cast<int32_t>(src->num_dimensions()) <= attributes.axis());
// Auto initialize dst tensor info
TensorInfo dst_info_to_validate = *dst;
auto_init_if_empty(dst_info_to_validate, *src->clone());
const size_t actual_axis =
static_cast<size_t>(wrap_around(attributes.axis(), static_cast<int32_t>(src->num_dimensions())));
const bool needs_permute = actual_axis != 0;
ARM_COMPUTE_RETURN_ERROR_ON_MSG(needs_permute, "Dynamic fusion softmax on axis!=0 not supported yet.");
// Perform fusion test and check if the operator meets the fusion constraints
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(*sketch.gpu_context(), src, &dst_info_to_validate, attributes);
}
void GpuSoftmax::create_op(GpuWorkloadSketch &sketch, ITensorInfo *src, ITensorInfo *dst, const Attributes &attributes)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
ARM_COMPUTE_LOG_PARAMS(src, dst, attributes);
TensorShape logits_sum_shape = src->tensor_shape();
ITensorInfo *logits = sketch.implementation().create_auxiliary_tensor(
src->clone()->set_id(ITensorInfo::invalid_tensor_id).set_tensor_shape(logits_sum_shape));
logits_sum_shape.set(0, 1);
ITensorInfo *sum = sketch.implementation().create_auxiliary_tensor(
src->clone()->set_id(ITensorInfo::invalid_tensor_id).set_tensor_shape(logits_sum_shape));
// Auto initialize dst tensor info and the auxiliary tensor infos as well
auto_init_if_empty(*dst, *src->clone());
// Assert validation
ARM_COMPUTE_ERROR_THROW_ON(GpuSoftmax::validate_op(sketch, src, dst, attributes));
ARM_COMPUTE_ERROR_ON_NULLPTR(logits, sum);
// 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)
{
const auto cl_compile_ctx = sketch_ctx->cl_compile_context();
ARM_COMPUTE_UNUSED(cl_compile_ctx);
ARM_COMPUTE_ERROR_ON(cl_compile_ctx == nullptr);
// Add Direct Conv2d Component
{
auto properties = IGpuKernelComponent::Properties();
properties.stage(UnitWorkloadStage{UnitWorkloadStage::Stage::Run});
ArgumentPack<ITensorInfo> arguments_exp_sum;
ArgumentPack<ITensorInfo> arguments_norm;
arguments_exp_sum.add_const_tensor(ACL_SRC_0, src);
arguments_exp_sum.add_const_tensor(ACL_DST_0, sum);
arguments_exp_sum.add_const_tensor(ACL_DST_1, logits);
arguments_norm.add_const_tensor(ACL_SRC_0, logits);
arguments_norm.add_const_tensor(ACL_SRC_1, sum);
arguments_norm.add_const_tensor(ACL_DST_0, dst);
// Add to component graph -- NOT IMPLEMENTED
ARM_COMPUTE_UNUSED(comp_graph, attributes);
}
}
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 auto op = sketch.implementation().operator_group().new_operator(operator_type, tensors);
sketch.implementation().operator_group().add_operator(op);
}
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
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