68 lines
2.4 KiB
C++
68 lines
2.4 KiB
C++
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "tensorflow/compiler/tf2xla/resource_operation_table.h"
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#include "absl/algorithm/container.h"
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#include "absl/container/flat_hash_map.h"
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#include "absl/strings/str_join.h"
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#include "tensorflow/compiler/tf2xla/xla_op_registry.h"
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#include "tensorflow/core/lib/core/status_test_util.h"
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#include "tensorflow/core/platform/test.h"
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namespace tensorflow {
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namespace {
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bool IsResourceArgDef(const OpDef::ArgDef& arg_def) {
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return arg_def.type() == DT_RESOURCE;
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}
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bool HasResourceInputOrOutput(const OpDef& op_def) {
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return absl::c_any_of(op_def.input_arg(), IsResourceArgDef) ||
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absl::c_any_of(op_def.output_arg(), IsResourceArgDef);
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}
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TEST(ResourceOperationTableTest, HaveAllResourceOps) {
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absl::flat_hash_map<string, bool> known_resource_ops;
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for (absl::string_view known_resource_op :
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resource_op_table_internal::GetKnownResourceOps()) {
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ASSERT_TRUE(
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known_resource_ops.insert({string(known_resource_op), false}).second);
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}
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std::vector<string> xla_op_names = XlaOpRegistry::GetAllRegisteredOps();
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for (const string& xla_op_name : xla_op_names) {
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const OpDef* op_def;
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TF_ASSERT_OK(OpRegistry::Global()->LookUpOpDef(xla_op_name, &op_def));
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if (HasResourceInputOrOutput(*op_def)) {
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EXPECT_EQ(known_resource_ops.count(xla_op_name), 1)
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<< "Unknown resource op " << xla_op_name;
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known_resource_ops[xla_op_name] = true;
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}
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}
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std::vector<string> unnecessary_resource_ops;
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for (const auto& pair : known_resource_ops) {
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if (!pair.second) {
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unnecessary_resource_ops.push_back(pair.first);
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}
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}
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EXPECT_TRUE(unnecessary_resource_ops.empty())
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<< "Stale resource ops:\n"
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<< absl::StrJoin(unnecessary_resource_ops, "\n");
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}
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} // namespace
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} // namespace tensorflow
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