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authorRamy Elgammal <ramy.elgammal@arm.com>2022-11-08 02:14:46 +0000
committerRamy Elgammal <ramy.elgammal@arm.com>2022-11-29 10:24:59 +0000
commit404462af4ca002ece819161a03a4bdb19a87abf2 (patch)
tree09cf812530afcbe3fc524ce7eded5f06129e0889 /src/dynamic_fusion/sketch/gpu/operators/internal/GpuElementwiseBinaryCommon.cpp
parent03b2971ac69a86f10a1566938d1a25afee15746c (diff)
downloadComputeLibrary-404462af4ca002ece819161a03a4bdb19a87abf2.tar.gz
Adding GpuAdd to dynamic fusion operators
- Provide support for Add operator - Auto initialize the destination tensor before testing fusion in conv2d and elementwise binary ops. Resolves: COMPMID-5518 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: Ibd815020f02b57f88eea7c2921bdcf98605d99c5 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8617 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/operators/internal/GpuElementwiseBinaryCommon.cpp')
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diff --git a/src/dynamic_fusion/sketch/gpu/operators/internal/GpuElementwiseBinaryCommon.cpp b/src/dynamic_fusion/sketch/gpu/operators/internal/GpuElementwiseBinaryCommon.cpp
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+/*
+ * Copyright (c) 2022 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 "src/dynamic_fusion/sketch/gpu/operators/internal/GpuElementwiseBinaryCommon.h"
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/dynamic_fusion/sketch/ArgumentPack.h"
+#include "src/dynamic_fusion/sketch/gpu/GpuWorkloadSketchImpl.h"
+#include "src/dynamic_fusion/sketch/gpu/components/cl/ClComponentElementwiseBinary.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)
+{
+ if(dst->total_size() == 0U)
+ {
+ const std::pair<TensorShape, ValidRegion> broadcast_pair = ITensorInfo::broadcast_shape_and_valid_region(*lhs, *rhs);
+ auto_init_if_empty(*dst, lhs->clone()->set_tensor_shape(broadcast_pair.first));
+ }
+}
+GpuOperatorType operator_type = GpuOperatorType::Simple;
+}
+
+ElementwiseBinaryCommonAttributes &ElementwiseBinaryCommonAttributes::operation(const ElementwiseBinaryCommonAttributes::ElementwiseOp &operation)
+{
+ _operation = operation;
+ return *this;
+}
+
+ElementwiseBinaryCommonAttributes::ElementwiseOp ElementwiseBinaryCommonAttributes::operation() const
+{
+ return _operation;
+}
+
+Status GpuElementwiseBinaryCommon::is_supported_op(const GpuWorkloadContext &context,
+ const ITensorInfo *lhs,
+ const ITensorInfo *rhs,
+ const ITensorInfo *dst,
+ const ElementwiseBinaryCommonAttributes &attributes)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(lhs, rhs, dst);
+
+ // Auto initialize dst tensor info
+ TensorInfo dst_info_to_validate = *dst;
+ calculate_and_init_dst_if_empty(&dst_info_to_validate, lhs, rhs);
+
+ // 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 ElementwiseBinary Component
+ {
+ ArgumentPack<ITensorInfo> arguments;
+ arguments.add_const_tensor(ACL_SRC_0, lhs);
+ arguments.add_const_tensor(ACL_SRC_1, rhs);
+
+ // We needed to pass the original dst pointer for in-place detection, in case its shape is not empty
+ if(dst->tensor_shape().total_size() == 0)
+ {
+ arguments.add_const_tensor(ACL_DST_0, &dst_info_to_validate);
+ }
+ else
+ {
+ arguments.add_const_tensor(ACL_DST_0, dst);
+ }
+ ARM_COMPUTE_RETURN_ON_ERROR(ClComponentElementwiseBinary::validate(arguments, attributes));
+ }
+ }
+ else
+ {
+ ARM_COMPUTE_RETURN_ERROR_MSG("Unimplemented Gpu language");
+ }
+
+ return Status{};
+}
+
+Status GpuElementwiseBinaryCommon::validate_op(const GpuWorkloadSketch &sketch,
+ const ITensorInfo *lhs,
+ const ITensorInfo *rhs,
+ const ITensorInfo *dst,
+ const ElementwiseBinaryCommonAttributes &attributes)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(lhs, rhs, dst);
+ ARM_COMPUTE_RETURN_ERROR_ON(
+ !lhs->has_valid_id() || !rhs->has_valid_id() || !dst->has_valid_id());
+
+ // Auto initialize dst tensor info
+ TensorInfo dst_info_to_validate = *dst;
+ calculate_and_init_dst_if_empty(&dst_info_to_validate, lhs, rhs);
+
+ // Perform fusion test
+ // 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_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, and passing the original dst for in-place detection
+ return is_supported_op(*sketch.gpu_context(), lhs, rhs, dst, attributes);
+}
+
+void GpuElementwiseBinaryCommon::create_op(GpuWorkloadSketch &sketch,
+ ITensorInfo *lhs,
+ ITensorInfo *rhs,
+ ITensorInfo *dst,
+ const ElementwiseBinaryCommonAttributes &attributes)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(lhs, rhs, dst);
+ const bool in_place = (lhs == dst) || (rhs == dst);
+ static TensorInfo in_place_dst;
+ in_place_dst = in_place ? sketch.create_tensor_info(*lhs) : TensorInfo{};
+
+ // Auto initialize dst tensor
+ calculate_and_init_dst_if_empty(dst, lhs, rhs);
+
+ // 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_ERROR_ON(cl_compile_ctx == nullptr);
+
+ // Add ElementwiseBinary Component
+ {
+ 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);
+ if(in_place)
+ {
+ arguments.add_const_tensor(ACL_DST_0, &in_place_dst);
+ }
+ else
+ {
+ arguments.add_const_tensor(ACL_DST_0, dst);
+ }
+ comp_graph.add_new_component<ClComponentElementwiseBinary>(properties, arguments, 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, lhs);
+ tensors.add_const_tensor(ACL_SRC_1, rhs);
+ if(in_place)
+ {
+ tensors.add_const_tensor(ACL_DST_0, &in_place_dst);
+ }
+ else
+ {
+ tensors.add_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