This enables proper windows path support. PiperOrigin-RevId: 295821454 Change-Id: I9a9163d0d3b5a12d2bc944cbb338e99cd6a86142
54 lines
1.9 KiB
C++
54 lines
1.9 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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// This demonstrates how to use hlo_test_base to create a file based testcase
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// and compare results on gpu and cpu.
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#include <string>
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#include <vector>
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#include "tensorflow/compiler/xla/service/platform_util.h"
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#include "tensorflow/compiler/xla/test.h"
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#include "tensorflow/compiler/xla/tests/hlo_test_base.h"
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#include "tensorflow/compiler/xla/tests/literal_test_util.h"
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#include "tensorflow/compiler/xla/types.h"
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#include "tensorflow/core/lib/io/path.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/test.h"
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#include "tensorflow/core/platform/types.h"
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namespace xla {
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namespace {
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class SampleFileTest : public HloTestBase {
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protected:
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SampleFileTest()
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: HloTestBase(
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/*test_platform=*/PlatformUtil::GetPlatform("gpu").ValueOrDie(),
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/*reference_platform=*/PlatformUtil::GetPlatform("cpu")
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.ValueOrDie()) {}
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};
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TEST_F(SampleFileTest, Convolution) {
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const string& filename = tensorflow::GetDataDependencyFilepath(
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tensorflow::io::JoinPath("tensorflow", "compiler", "xla", "tests",
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"isolated_convolution.hlo"));
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EXPECT_TRUE(RunAndCompareFromFile(filename, ErrorSpec{0.01}));
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}
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} // namespace
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} // namespace xla
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