diff options
Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/operators/GpuSoftmax.cpp')
| -rw-r--r-- | src/dynamic_fusion/sketch/gpu/operators/GpuSoftmax.cpp | 200 |
1 files changed, 200 insertions, 0 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/operators/GpuSoftmax.cpp b/src/dynamic_fusion/sketch/gpu/operators/GpuSoftmax.cpp new file mode 100644 index 0000000000..d385752201 --- /dev/null +++ b/src/dynamic_fusion/sketch/gpu/operators/GpuSoftmax.cpp @@ -0,0 +1,200 @@ +/* + * 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 |