90 lines
3.6 KiB
C++
90 lines
3.6 KiB
C++
/* Copyright 2019 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 <vector>
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#include "tensorflow/compiler/xla/client/local_client.h"
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#include "tensorflow/compiler/xla/client/xla_builder.h"
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#include "tensorflow/compiler/xla/tests/client_library_test_base.h"
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#include "tensorflow/compiler/xla/tests/literal_test_util.h"
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#include "tensorflow/compiler/xla/tests/test_macros.h"
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#include "tensorflow/core/platform/test.h"
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namespace xla {
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namespace {
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class FmaxSimpleTest : public ClientLibraryTestBase {};
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XLA_TEST_F(FmaxSimpleTest, FmaxTenValues) {
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SetFastMathDisabled(true);
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XlaBuilder builder(TestName());
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auto x = ConstantR1<float>(
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&builder, {-0.0, 1.0, 2.0, -3.0, -4.0, 5.0, 6.0, -7.0, -8.0, 9.0});
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auto y = ConstantR1<float>(
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&builder, {-0.0, -1.0, -2.0, 3.0, 4.0, -5.0, -6.0, 7.0, 8.0, -9.0});
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Max(x, y);
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std::vector<float> expected = {-0.0, 1.0, 2.0, 3.0, 4.0,
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5.0, 6.0, 7.0, 8.0, 9.0};
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ComputeAndCompareR1<float>(&builder, expected, {}, ErrorSpec(0.0001));
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}
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XLA_TEST_F(FmaxSimpleTest, FmaxEdgeCases) {
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SetFastMathDisabled(true);
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XlaBuilder builder(TestName());
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XlaOp param0, param1;
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std::unique_ptr<GlobalData> param0_data = CreateR1Parameter<float>(
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{INFINITY, INFINITY, INFINITY, -INFINITY, INFINITY, -INFINITY, NAN,
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INFINITY, -INFINITY, NAN},
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/*parameter_number=*/0, /*name=*/"param0",
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/*builder=*/&builder, /*data_handle=*/¶m0);
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std::unique_ptr<GlobalData> param1_data = CreateR1Parameter<float>(
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{INFINITY, -INFINITY, NAN, NAN, -4.0, -5.0, -6.0, 7.0, 8.0, 9.0},
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/*parameter_number=*/1, /*name=*/"param1",
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/*builder=*/&builder, /*data_handle=*/¶m1);
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Max(param0, param1);
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std::vector<float> expected = {INFINITY, INFINITY, NAN, NAN, INFINITY,
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-5, NAN, INFINITY, 8, NAN};
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ComputeAndCompareR1<float>(&builder, expected,
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{param0_data.get(), param1_data.get()},
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ErrorSpec(0.0001));
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}
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XLA_TEST_F(FmaxSimpleTest, FminEdgeCases) {
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SetFastMathDisabled(true);
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XlaBuilder builder(TestName());
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XlaOp param0, param1;
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std::unique_ptr<GlobalData> param0_data = CreateR1Parameter<float>(
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{INFINITY, INFINITY, INFINITY, -INFINITY, INFINITY, -INFINITY, NAN,
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INFINITY, -INFINITY, NAN},
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/*parameter_number=*/0, /*name=*/"param0",
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/*builder=*/&builder, /*data_handle=*/¶m0);
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std::unique_ptr<GlobalData> param1_data = CreateR1Parameter<float>(
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{INFINITY, -INFINITY, NAN, NAN, -4.0, -5.0, -6.0, 7.0, 8.0, 9.0},
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/*parameter_number=*/1, /*name=*/"param1",
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/*builder=*/&builder, /*data_handle=*/¶m1);
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Min(param0, param1);
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std::vector<float> expected = {INFINITY, -INFINITY, NAN, NAN, -4,
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-INFINITY, NAN, 7, -INFINITY, NAN};
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ComputeAndCompareR1<float>(&builder, expected,
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{param0_data.get(), param1_data.get()},
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ErrorSpec(0.0001));
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}
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} // namespace
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} // namespace xla
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