//***************************************************************************** // Copyright 2017-2018 Intel Corporation // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. //***************************************************************************** #include <algorithm> #include <cstdio> #include <iostream> #include <list> #include <memory> #include "gtest/gtest.h" #include "ngraph/autodiff/adjoints.hpp" #include "ngraph/file_util.hpp" #include "ngraph/graph_util.hpp" #include "ngraph/log.hpp" #include "ngraph/ngraph.hpp" #include "ngraph/op/batch_norm.hpp" #include "ngraph/op/get_output_element.hpp" #include "ngraph/op/parameter.hpp" #include "ngraph/pass/core_fusion.hpp" #include "ngraph/pass/cse.hpp" #include "ngraph/pass/manager.hpp" #include "ngraph/pass/reshape_elimination.hpp" #include "ngraph/pass/visualize_tree.hpp" #include "ngraph/runtime/cpu/pass/cpu_fusion.hpp" #include "ngraph/runtime/cpu/pass/cpu_reshape_sinking.hpp" #include "ngraph/serializer.hpp" #include "ngraph/util.hpp" #include "nlohmann/json.hpp" #include "util/all_close.hpp" #include "util/autodiff/backprop_function.hpp" #include "util/autodiff/numeric_compare.hpp" #include "util/ndarray.hpp" #include "util/random.hpp" #include "util/test_tools.hpp" using namespace ngraph; using namespace std; TEST(cpu_reshape_sinking, edge_splitting) { //checks if Reshapes are pushed through op::Abs, but stopped by Sum Shape shape_nhwc{16, 28, 28, 1}; Shape shape_nchw{16, 1, 28, 28}; auto a = make_shared<op::Parameter>(element::i32, shape_nhwc); auto reshape = make_shared<op::Reshape>(a, AxisVector{0, 3, 1, 2}, shape_nchw); auto absn = make_shared<op::Abs>(reshape); auto absn2 = make_shared<op::Abs>(absn); auto sum = make_shared<op::Sum>(reshape, AxisSet{0, 1, 2, 3}); auto func = make_shared<Function>(NodeVector{absn2, sum}, ParameterVector{a}); pass::Manager pass_manager; //size_t before_count = count_ops_of_type<op::Reshape>(func); pass_manager.register_pass<pass::VisualizeTree>("before.pdf"); pass_manager.register_pass<runtime::cpu::pass::CPUReshapeSinking>(); pass_manager.register_pass<pass::ReshapeElimination>(); pass_manager.register_pass<pass::CommonSubexpressionElimination>(); pass_manager.register_pass<pass::VisualizeTree>("after.pdf"); pass_manager.run_passes(func); ASSERT_EQ(func->get_results().at(1)->get_argument(0), sum); auto new_reshape = std::dynamic_pointer_cast<op::Reshape>(func->get_results().at(0)->get_argument(0)); ASSERT_TRUE(new_reshape); ASSERT_EQ(new_reshape->get_shape(), shape_nchw); } TEST(cpu_reshape_sinking, broadcast_swimming) { Shape shape_nchw{1, 32, 536, 536}; Shape shape_nhwc{1, 536, 536, 32}; Shape shape_weights{16, 32, 3, 3}; Shape conv_nhwc{1, 534, 534, 16}; Shape conv_nchw{1, 16, 534, 534}; AxisVector to_nhwc{0, 2, 3, 1}; AxisVector to_nchw{0, 3, 1, 2}; size_t channel = 16; auto bias = make_shared<op::Parameter>(element::i32, Shape{channel}); auto bias_reshape = make_shared<op::Reshape>(bias, AxisVector{0}, Shape{1, channel}); auto bias_broadcast = make_shared<op::Broadcast>(bias_reshape, conv_nhwc, AxisSet{1, 2}); auto input = make_shared<op::Parameter>(element::i32, shape_nhwc); auto reshape_input = make_shared<op::Reshape>(input, to_nchw, shape_nchw); auto weights = make_shared<op::Parameter>(element::i32, shape_weights); auto conv = make_shared<op::Convolution>(reshape_input, weights); auto conv_reshape = make_shared<op::Reshape>(conv, to_nhwc, conv_nhwc); auto add = bias_broadcast + conv_reshape; auto relu = make_shared<op::Relu>(add); auto func = make_shared<Function>(NodeVector{relu}, ParameterVector{bias, input, weights}); pass::Manager pass_manager; pass_manager.register_pass<runtime::cpu::pass::CPUReshapeSinking>(); pass_manager.register_pass<pass::ReshapeElimination>(); pass_manager.register_pass<pass::CommonSubexpressionElimination>(); pass_manager.run_passes(func); ASSERT_EQ(add->get_shape(), conv_nchw); ASSERT_EQ(add->get_argument(0)->get_shape(), conv_nchw); ASSERT_EQ(add->get_argument(1), conv); } TEST(cpu_reshape_sinking, mnist_conv) { const string json_path = file_util::path_join(SERIALIZED_ZOO, "tf_conv_mnist_nhwc.json"); const string json_string = file_util::read_file_to_string(json_path); stringstream ss(json_string); shared_ptr<Function> func = ngraph::deserialize(ss); pass::Manager pass_manager; size_t before_count = count_ops_of_type<op::Reshape>(func); //pass_manager.register_pass<pass::VisualizeTree>("before.pdf"); pass_manager.register_pass<runtime::cpu::pass::CPUReshapeSinking>(); pass_manager.register_pass<pass::ReshapeElimination>(); pass_manager.register_pass<pass::CommonSubexpressionElimination>(); //pass_manager.register_pass<pass::CoreFusion>(); //pass_manager.register_pass<runtime::cpu::pass::CPUFusion>(); //pass_manager.register_pass<pass::VisualizeTree>("after.pdf"); pass_manager.run_passes(func); size_t before_after = count_ops_of_type<op::Reshape>(func); ASSERT_LE(before_after, before_count); }