| /* Copyright 2018 The TensorFlow Authors. All Rights Reserved. |
| |
| 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 "tensorflow/compiler/jit/test_util.h" |
| |
| #include "tensorflow/compiler/jit/shape_inference.h" |
| #include "tensorflow/compiler/xla/status_macros.h" |
| |
| namespace tensorflow { |
| |
| Status ShapeAnnotationsMatch( |
| const Graph& graph, const GraphShapeInfo& shape_info, |
| std::map<string, std::vector<PartialTensorShape>> expected_shapes) { |
| for (Node* node : graph.op_nodes()) { |
| auto sit = shape_info.find(node->name()); |
| TF_RET_CHECK(sit != shape_info.end()) |
| << "Missing shape information for node " << node->name(); |
| std::vector<PartialTensorShape> shapes; |
| for (const auto& output : sit->second) shapes.push_back(output.shape); |
| |
| auto it = expected_shapes.find(node->name()); |
| if (it != expected_shapes.end()) { |
| if (!PartialTensorShapeUtils::AreIdentical(shapes, it->second)) { |
| return errors::InvalidArgument( |
| "Shape mismatch for ", node->name(), ". Expected: ", |
| PartialTensorShapeUtils::PartialShapeListString(it->second), |
| ", actual: ", |
| PartialTensorShapeUtils::PartialShapeListString(shapes)); |
| } |
| expected_shapes.erase(it); |
| } |
| } |
| if (!expected_shapes.empty()) { |
| std::vector<string> missing; |
| missing.reserve(expected_shapes.size()); |
| for (const auto& entry : expected_shapes) { |
| missing.push_back(entry.first); |
| } |
| return errors::InvalidArgument("Missing shapes for nodes: ", |
| absl::StrJoin(missing, ",")); |
| } |
| return Status::OK(); |
| } |
| |
| } // namespace tensorflow |