aboutsummaryrefslogtreecommitdiff
path: root/src/core/experimental/dynamic_fusion/OperatorGraph.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/core/experimental/dynamic_fusion/OperatorGraph.cpp')
-rw-r--r--src/core/experimental/dynamic_fusion/OperatorGraph.cpp264
1 files changed, 0 insertions, 264 deletions
diff --git a/src/core/experimental/dynamic_fusion/OperatorGraph.cpp b/src/core/experimental/dynamic_fusion/OperatorGraph.cpp
deleted file mode 100644
index bd88afdb47..0000000000
--- a/src/core/experimental/dynamic_fusion/OperatorGraph.cpp
+++ /dev/null
@@ -1,264 +0,0 @@
-/*
- * 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.
- */
-#ifdef ENABLE_EXPERIMENTAL_DYNAMIC_FUSION
-#include "arm_compute/core/experimental/OperatorGraph.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "src/core/experimental/dynamic_fusion/WorkloadImpl/OperatorGraphImpl.h"
-#include "src/core/helpers/AutoConfiguration.h"
-
-namespace arm_compute
-{
-namespace experimental
-{
-namespace dynamic_fusion
-{
-namespace
-{
-void check_dependency_graph_op_success(OperatorGraph &graph, const Status &status)
-{
- if(!bool(status))
- {
- graph.impl()->status = Status{ status.error_code(), "Cycles or loops are not allowed" };
- }
-}
-
-// Check if there are more than one roots in the graph
-void check_multiple_roots(OperatorGraph &graph)
-{
- if(graph.impl()->graph.get_root_ops().size() > 1)
- {
- graph.impl()->status = Status{ ErrorCode::RUNTIME_ERROR, "Multiple roots are not allowed" };
- }
-}
-
-void check_execution_shape(OperatorGraph &graph, const ITensorInfo &dst_info)
-{
- const auto roots = graph.impl()->graph.get_root_ops();
- for(auto root : roots)
- {
- // We assume exactly 1 dst tensor for all operators
- const auto root_info = graph.impl()->tensors[graph.impl()->graph.dst_tensors(root)[0]]->get_tensor_info();
- for(unsigned int dim = 0; dim < root_info->num_dimensions(); ++dim)
- {
- if(root_info->dimension(dim) != dst_info.dimension(dim))
- {
- graph.impl()->status = Status{ ErrorCode::RUNTIME_ERROR, "Cannot change execution space" };
- return;
- }
- }
- }
-}
-} // namespace
-
-OpTensor::OpTensor(Id id)
- : _id{ id }
-{
-}
-
-OpTensor::Id OpTensor::id() const
-{
- return _id;
-}
-
-bool operator<(const OpTensor &t0, const OpTensor &t1)
-{
- return t0.id() < t1.id();
-}
-
-Operator::Operator(Id id)
- : _id{ id }
-{
-}
-
-Operator::Id Operator::id() const
-{
- return _id;
-}
-
-bool operator<(const Operator &op0, const Operator &op1)
-{
- return op0.id() < op1.id();
-}
-
-OperatorGraph::OperatorGraph()
- : _impl{ std::make_unique<Implementation>() }
-{
-}
-
-OperatorGraph::~OperatorGraph() = default;
-
-OperatorGraph::Implementation *OperatorGraph::impl()
-{
- return _impl.get();
-}
-
-const OperatorGraph::Implementation *OperatorGraph::impl() const
-{
- return _impl.get();
-}
-
-Status validate(const OperatorGraph &graph)
-{
- return graph.impl()->status;
-}
-
-OpTensor add_tensor(OperatorGraph &graph, ITensorInfo &info)
-{
- auto id = graph.impl()->graph.add_tensor();
- OpTensor op_tensor(id);
- graph.impl()->add_tensor(id, &info);
- return op_tensor;
-}
-
-Operator add_op_conv2d(OperatorGraph &graph, const Conv2dDescriptor &desc, OpTensor input, OpTensor weights, OpTensor bias, OpTensor dst)
-{
- // Check if map is empty as a complex operator can only be root
- if(!graph.impl()->graph.get_root_ops().empty())
- {
- graph.impl()->status = Status{ ErrorCode::RUNTIME_ERROR, "Cannot add multiple complex operators" };
- return Operator{};
- }
-
- std::pair<Status, DependencyGraph::Id> status_id;
-
- if(bias.id() == -1)
- {
- status_id = graph.impl()->graph.add_operator({ input.id(), weights.id() }, { dst.id() });
- }
- else
- {
- status_id = graph.impl()->graph.add_operator({ input.id(), weights.id(), bias.id() }, { dst.id() });
- }
-
- check_dependency_graph_op_success(graph, status_id.first);
-
- Operator op_node(status_id.second);
-
- // Infer TensorInfo
- OpTensorContent *dst_tensor = graph.impl()->tensors[dst.id()].get();
- if(dst_tensor->get_tensor_info()->total_size() == 0)
- {
- auto src = graph.impl()->tensors[input.id()]->get_tensor_info();
- auto wts = graph.impl()->tensors[weights.id()]->get_tensor_info();
- auto shape = misc::shape_calculator::compute_deep_convolution_shape(src->tensor_shape(), src->data_layout(), wts->tensor_shape(), PadStrideInfo(desc.stride.x(), desc.stride.y(), desc.pad.left,
- desc.pad.right,
- desc.pad.top, desc.pad.bottom, DimensionRoundingType::FLOOR)); // use the default DimensionRoundingType
-
- auto_init_if_empty(*(dst_tensor->get_tensor_info()), src->clone()->set_tensor_shape(shape));
- }
-
- // Check execution space
- auto dst_info = dst_tensor->get_tensor_info();
- check_execution_shape(graph, *dst_info);
-
- ITensorDescPack<OpTensorContent> tensors;
- tensors.add_const_tensor(ACL_SRC_0, graph.impl()->tensors[input.id()].get());
- tensors.add_const_tensor(ACL_SRC_1, graph.impl()->tensors[weights.id()].get());
- if(bias.id() != -1)
- {
- tensors.add_const_tensor(ACL_SRC_2, graph.impl()->tensors[bias.id()].get());
- }
- tensors.add_const_tensor(ACL_DST_0, graph.impl()->tensors[dst.id()].get());
-
- graph.impl()->add_node<Conv2dContent>(status_id.second, desc, tensors);
- check_multiple_roots(graph);
-
- return op_node;
-}
-
-Operator add_op_conv2d(OperatorGraph &graph, const Conv2dDescriptor &desc, OpTensor input, OpTensor weights, OpTensor dst)
-{
- return add_op_conv2d(graph, desc, input, weights, OpTensor(-1), dst);
-}
-
-void force_conv2d_method(OperatorGraph &graph, Operator conv2d, ConvolutionMethod method)
-{
- auto node = utils::cast::polymorphic_downcast<Conv2dContent *>(graph.impl()->operators[conv2d.id()].get());
- node->set_method(method);
-}
-
-Operator add_op_elementwise_op(OperatorGraph &graph, const ElementwiseDescriptor &desc, OpTensor lhs, OpTensor rhs, OpTensor dst)
-{
- auto id = graph.impl()->graph.add_operator({ rhs.id(), lhs.id() }, { dst.id() });
- check_dependency_graph_op_success(graph, id.first);
-
- Operator op_node(id.second);
-
- // Infer TensorInfo
- auto node_lhs = graph.impl()->tensors[lhs.id()]->get_tensor_info();
- auto node_rhs = graph.impl()->tensors[rhs.id()]->get_tensor_info();
- OpTensorContent *node_dst = graph.impl()->tensors[dst.id()].get();
-
- if(node_dst->get_tensor_info()->total_size() == 0)
- {
- const std::pair<TensorShape, ValidRegion> broadcast_pair = ITensorInfo::broadcast_shape_and_valid_region(*node_rhs, *node_lhs);
- auto_init_if_empty(*(node_dst->get_tensor_info()), node_lhs->clone()->set_tensor_shape(broadcast_pair.first));
- }
-
- // Check execution space
- auto dst_info = node_dst->get_tensor_info();
- check_execution_shape(graph, *dst_info);
-
- ITensorDescPack<OpTensorContent> tensors;
- tensors.add_const_tensor(ACL_SRC_0, graph.impl()->tensors[lhs.id()].get());
- tensors.add_const_tensor(ACL_SRC_1, graph.impl()->tensors[rhs.id()].get());
- tensors.add_const_tensor(ACL_DST_0, graph.impl()->tensors[dst.id()].get());
- graph.impl()->add_node<ElementwiseContent>(id.second, desc, tensors);
- check_multiple_roots(graph);
-
- return op_node;
-}
-
-Operator add_op_floor(OperatorGraph &graph, const FloorDescriptor &desc, OpTensor src, OpTensor dst)
-{
- auto id = graph.impl()->graph.add_operator({ src.id() }, { dst.id() });
- check_dependency_graph_op_success(graph, id.first);
-
- Operator op_node(id.second);
-
- // Infer TensorInfo
- auto node_src = graph.impl()->tensors[src.id()]->get_tensor_info();
- OpTensorContent *node_dst = graph.impl()->tensors[dst.id()].get();
-
- if(node_dst->get_tensor_info()->total_size() == 0)
- {
- auto_init_if_empty(*(node_dst->get_tensor_info()), *node_src);
- }
-
- // Check execution space
- auto dst_info = node_dst->get_tensor_info();
- check_execution_shape(graph, *dst_info);
-
- ITensorDescPack<OpTensorContent> tensors;
- tensors.add_const_tensor(ACL_SRC_0, graph.impl()->tensors[src.id()].get());
- tensors.add_const_tensor(ACL_DST_0, graph.impl()->tensors[dst.id()].get());
- graph.impl()->add_node<FloorContent>(id.second, desc, tensors);
- check_multiple_roots(graph);
-
- return op_node;
-}
-} // namespace dynamic_fusion
-} // namespace experimental
-} // namespace arm_compute
-#endif /* ENABLE_EXPERIMENTAL_DYNAMIC_FUSION */ \ No newline at end of file
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-20 18:30:46 +0000