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authorViet-Hoa Do <viet-hoa.do@arm.com>2023-03-02 17:43:45 +0000
committerViet-Hoa Do <viet-hoa.do@arm.com>2023-03-07 17:37:34 +0000
commit98aca0fda7f7c7c16bd2d1cf5386246ad796d9de (patch)
tree27878e58f847819f1fa667ac129f6c6ac2d12d64 /src/dynamic_fusion/sketch/gpu/operators/GpuTanh.cpp
parent36dc77dc433d3c2c341f56f212ceb1d0047e9969 (diff)
downloadComputeLibrary-98aca0fda7f7c7c16bd2d1cf5386246ad796d9de.tar.gz
Add sigmoid and tanh for dynamic fusion
* Add sigmoid and tanh activation functions for dynamic fusion. * Add corresponding tests, but both activation functions share the same fixture implementation. Resolves: COMPMID-5939 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I0aae0eaa18b746ce89680d2773c66e09b0f854ce Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9257 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/operators/GpuTanh.cpp')
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diff --git a/src/dynamic_fusion/sketch/gpu/operators/GpuTanh.cpp b/src/dynamic_fusion/sketch/gpu/operators/GpuTanh.cpp
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+/*
+ * Copyright (c) 2023 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/GpuTanh.h"
+#include "arm_compute/core/experimental/Types.h"
+
+#include "src/dynamic_fusion/sketch/ArgumentPack.h"
+#include "src/dynamic_fusion/sketch/gpu/GpuWorkloadSketchImpl.h"
+#include "src/dynamic_fusion/sketch/gpu/components/cl/ClComponentActivation.h"
+#include "src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateActivation.h"
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/common/utils/Log.h"
+
+namespace arm_compute
+{
+namespace experimental
+{
+namespace dynamic_fusion
+{
+namespace
+{
+Status is_supported_op_helper(const GpuWorkloadContext &context,
+ const ITensorInfo *src,
+ const ITensorInfo *dst)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32);
+
+ 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());
+
+ const ClComponentActivation::Attributes act_info{ ActivationLayerInfo::ActivationFunction::TANH };
+
+ // Check components
+ if(context.gpu_language() == GpuLanguage::OpenCL)
+ {
+ // Validate Activation Component
+ const auto properties = IGpuKernelComponent::Properties().stage(UnitWorkloadStage{ UnitWorkloadStage::Stage::Run });
+
+ ArgumentPack<ITensorInfo> arguments;
+ arguments.add_const_tensor(ACL_SRC, src);
+ arguments.add_const_tensor(ACL_DST, dst_info_to_validate_ptr);
+ ARM_COMPUTE_RETURN_ON_ERROR(ClComponentActivation::validate(properties, arguments, act_info));
+ }
+ else
+ {
+ ARM_COMPUTE_RETURN_ERROR_MSG("Unimplemented Gpu language");
+ }
+ return Status{};
+}
+
+constexpr GpuOperatorType operator_type = GpuOperatorType::Simple;
+} // namespace
+
+Status GpuTanh::is_supported_op(const GpuWorkloadContext &context,
+ const ITensorInfo *src)
+{
+ return is_supported_op_helper(context, src, nullptr);
+}
+
+Status GpuTanh::validate_op(const GpuWorkloadSketch &sketch,
+ const ITensorInfo *src)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src);
+
+ // Check if tensors have valid id, i.e. they are created from a sketch
+ 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());
+
+ // Perform fusion test to check if the operator meets fusion constraints
+ ArgumentPack<ITensorInfo> tensors;
+ tensors.add_const_tensor(ACL_SRC, src);
+ tensors.add_const_tensor(ACL_DST, &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);
+}
+
+ITensorInfo *GpuTanh::create_op(GpuWorkloadSketch &sketch,
+ ITensorInfo *src)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(src);
+ ARM_COMPUTE_LOG_PARAMS(src);
+ ARM_COMPUTE_ERROR_THROW_ON(GpuTanh::validate_op(sketch, src));
+
+ ITensorInfo *dst = sketch.implementation().create_virtual_tensor();
+ ARM_COMPUTE_ERROR_ON_NULLPTR(dst);
+
+ // Auto initialize dst tensor
+ auto_init_if_empty(*dst, *src->clone());
+
+ // Translate into components and add to component graph
+ GpuKernelComponentGraph &comp_graph = sketch.implementation().component_graph();
+
+ const ClComponentActivation::Attributes act_info{ ActivationLayerInfo::ActivationFunction::TANH };
+
+ const auto *const sketch_ctx = sketch.implementation().context();
+
+ if(sketch_ctx->gpu_language() == GpuLanguage::OpenCL)
+ {
+ // Add Activation Component
+ auto properties = IGpuKernelComponent::Properties();
+ properties.stage(UnitWorkloadStage{ UnitWorkloadStage::Stage::Run });
+
+ ArgumentPack<ITensorInfo> arguments;
+ arguments.add_const_tensor(ACL_SRC, src);
+ arguments.add_const_tensor(ACL_DST, dst);
+ comp_graph.add_new_component<ClComponentActivation>(properties, arguments, act_info);
+ }
+ 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, src);
+ tensors.add_const_tensor(ACL_DST, 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