6d44543263
This makes it easier to iterate over tests, because the test doesn't have to be recompiled all the time. PiperOrigin-RevId: 295913906 Change-Id: I975a8db086aceb862498f2d63138cb0bf4859c00
88 lines
3.4 KiB
C++
88 lines
3.4 KiB
C++
/* Copyright 2017 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/xla/tests/filecheck.h"
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#include <cstdlib>
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#include "tensorflow/compiler/xla/types.h"
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#include "tensorflow/compiler/xla/util.h"
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#include "tensorflow/core/lib/core/errors.h"
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#include "tensorflow/core/lib/io/path.h"
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#include "tensorflow/core/platform/env.h"
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#include "tensorflow/core/platform/path.h"
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#include "tensorflow/core/platform/resource_loader.h"
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#include "tensorflow/core/platform/subprocess.h"
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namespace xla {
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StatusOr<bool> RunFileCheck(const std::string& input,
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absl::string_view pattern) {
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// Generate an input file for the FileCheck pattern.
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std::string pattern_path;
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auto env = tensorflow::Env::Default();
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if (!env->LocalTempFilename(&pattern_path)) {
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return tensorflow::errors::Internal("couldn't get a pattern file name");
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}
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TF_RETURN_IF_ERROR(tensorflow::WriteStringToFile(env, pattern_path, pattern));
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return RunFileCheckWithPatternFile(input, pattern_path);
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}
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StatusOr<bool> RunFileCheckWithPatternFile(const std::string& input,
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const std::string& pattern_file) {
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// Invoke FileCheck to check whether input matches `pattern`.
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std::string file_check_path = tensorflow::GetDataDependencyFilepath(
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tensorflow::io::JoinPath("external", "llvm-project", "llvm", "FileCheck"));
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tensorflow::SubProcess file_check_process;
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file_check_process.SetProgram(
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file_check_path,
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{file_check_path, "-v", "-dump-input=fail", pattern_file});
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file_check_process.SetChannelAction(tensorflow::CHAN_STDIN,
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tensorflow::ACTION_PIPE);
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file_check_process.SetChannelAction(tensorflow::CHAN_STDERR,
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tensorflow::ACTION_PIPE);
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if (!file_check_process.Start()) {
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return tensorflow::errors::Internal("couldn't start FileCheck");
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}
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std::string standard_error;
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int exit_status = file_check_process.Communicate(
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/*stdin_input=*/&input, /*stdout_output=*/nullptr,
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/*stderr_output=*/&standard_error);
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// FileCheck returns 0 when the inputs match. If matching failed, log
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// the error message generated by FileCheck and the inputs.
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bool succeeded = (exit_status == 0);
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auto env = tensorflow::Env::Default();
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if (!succeeded) {
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LOG(WARNING) << "Tried to execute FileCheck at " << file_check_path;
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if (!env->FileExists(file_check_path).ok()) {
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LOG(WARNING) << "NOTE: FileCheck binary does not exist!";
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}
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LOG(WARNING) << "FileCheck error:\n" << standard_error;
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} else if (!standard_error.empty()) {
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LOG(INFO) << "FileCheck stderr:";
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XLA_LOG_LINES(tensorflow::INFO, standard_error);
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LOG(INFO) << "FileCheck input was:";
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XLA_LOG_LINES(tensorflow::INFO, input);
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}
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return succeeded;
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}
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} // namespace xla
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