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Diffstat (limited to 'src/core/experimental/dynamic_fusion/OperatorGraph.cpp')
-rw-r--r-- | src/core/experimental/dynamic_fusion/OperatorGraph.cpp | 264 |
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 */
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