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-rw-r--r--src/dynamic_fusion/sketch/gpu/GpuOperatorGroup.cpp168
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diff --git a/src/dynamic_fusion/sketch/gpu/GpuOperatorGroup.cpp b/src/dynamic_fusion/sketch/gpu/GpuOperatorGroup.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/GpuOperatorGroup.h"
+
+#include "arm_compute/core/Validate.h"
+
+namespace arm_compute
+{
+namespace experimental
+{
+namespace dynamic_fusion
+{
+namespace
+{
+std::vector<DependencyGraph::TensorId> get_tensor_ids(const std::vector<const ITensorInfo *> tensors)
+{
+ std::vector<DependencyGraph::TensorId> tensor_ids{};
+ std::transform(std::begin(tensors), std::end(tensors), std::back_inserter(tensor_ids),
+ [](const auto &t) { return t->id(); });
+ return tensor_ids;
+}
+
+} // namespace
+
+Operator::Operator(OperatorId id, GpuOperatorType operator_type, const ArgumentPack<ITensorInfo> &tensors)
+ : _id{id}, _operator_type{operator_type}, _tensors{tensors}
+{
+}
+
+OperatorId Operator::id() const
+{
+ return _id;
+}
+
+GpuOperatorType Operator::operator_type() const
+{
+ return _operator_type;
+}
+
+ArgumentPack<ITensorInfo> Operator::tensors() const
+{
+ return _tensors;
+}
+
+bool GpuOperatorGroup::try_add_operator(const Operator &op, bool is_output) const
+{
+ const auto src_tensor_ids = get_tensor_ids(op.tensors().get_const_src_tensors());
+ const auto dst_tensor_ids = get_tensor_ids(op.tensors().get_const_dst_tensors());
+ // Constraint 1
+ if (!_graph.try_add_operator_as_linear(op.id(), src_tensor_ids, dst_tensor_ids, is_output))
+ {
+ return false;
+ }
+ // Constraint 2
+ if (_operators.size() >= max_fused_operators)
+ {
+ return false;
+ }
+ // Constraint 3.1: Pattern: (Unfusable)
+ if (_operators.size() > 0 && get_root_operator()->operator_type() == GpuOperatorType::Unfusable)
+ {
+ return false;
+ }
+ // Constraint 3.2
+ if (_operators.size() > 0 && (op.operator_type() != GpuOperatorType::Simple))
+ {
+ return false;
+ }
+ // Constraint 4
+ if (op.operator_type() != GpuOperatorType::Unfusable && op.tensors().get_const_dst_tensors().size() != 1U)
+ {
+ return false;
+ }
+ // Constraint 5
+ if (_operators.size() > 0)
+ {
+ const auto root_dst_tensors = get_root_operator()->tensors().get_const_dst_tensors();
+ ARM_COMPUTE_ERROR_ON(root_dst_tensors.empty());
+ const auto first_dst_tensor = root_dst_tensors[0];
+ const auto dst_tensors = op.tensors().get_const_dst_tensors();
+ for (const auto &t : root_dst_tensors)
+ {
+ if (detail::have_different_dimensions(t->tensor_shape(), first_dst_tensor->tensor_shape(), 0))
+ {
+ return false;
+ }
+ }
+ for (const auto &t : dst_tensors)
+ {
+ if (detail::have_different_dimensions(t->tensor_shape(), first_dst_tensor->tensor_shape(), 0))
+ {
+ return false;
+ }
+ }
+ }
+ // Constraint 6
+ if (_operators.size() > 0)
+ {
+ const auto root_dst_tensors = get_root_operator()->tensors().get_const_dst_tensors();
+ ARM_COMPUTE_ERROR_ON(root_dst_tensors.empty());
+ const auto first_dst_tensor_layout = root_dst_tensors[0]->data_layout();
+ const auto dst_tensors = op.tensors().get_const_dst_tensors();
+ for (const auto &t : root_dst_tensors)
+ {
+ if (t->data_layout() != first_dst_tensor_layout)
+ {
+ return false;
+ }
+ }
+ for (const auto &t : dst_tensors)
+ {
+ if (t->data_layout() != first_dst_tensor_layout)
+ {
+ return false;
+ }
+ }
+ }
+ return true;
+}
+void GpuOperatorGroup::add_operator(const Operator &op, bool is_output)
+{
+ ARM_COMPUTE_ERROR_ON(!try_add_operator(op, is_output));
+ const auto src_tensor_ids = get_tensor_ids(op.tensors().get_const_src_tensors());
+ const auto dst_tensor_ids = get_tensor_ids(op.tensors().get_const_dst_tensors());
+ _graph.add_operator_as_linear(op.id(), src_tensor_ids, dst_tensor_ids, is_output);
+ _operators[op.id()] = op;
+}
+Operator GpuOperatorGroup::new_operator(const GpuOperatorType &operator_type,
+ const ArgumentPack<ITensorInfo> &tensors) const
+{
+ auto new_id = static_cast<OperatorId>(_operators.size());
+ return Operator{new_id, operator_type, tensors};
+}
+const Operator *GpuOperatorGroup::get_root_operator() const
+{
+ const auto roots = _graph.get_root_ops();
+ ARM_COMPUTE_ERROR_ON(roots.size() > 1);
+ if (roots.empty())
+ {
+ return nullptr;
+ }
+ return &_operators.at(roots[0]);
+}
+
+} // namespace dynamic_fusion
+} // namespace experimental
+} // namespace arm_compute