77 lines
2.7 KiB
C++
77 lines
2.7 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 <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 AxpySimpleTest : public ClientLibraryTestBase {};
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TEST_F(AxpySimpleTest, AxTenValues) {
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XlaBuilder builder("ax_10");
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auto alpha = ConstantR0<float>(&builder, 3.1415926535);
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auto x = ConstantR1<float>(
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&builder, {-1.0, 1.0, 2.0, -2.0, -3.0, 3.0, 4.0, -4.0, -5.0, 5.0});
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Mul(alpha, x);
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std::vector<float> expected = {
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-3.14159265, 3.14159265, 6.28318531, -6.28318531, -9.42477796,
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9.42477796, 12.56637061, -12.56637061, -15.70796327, 15.70796327};
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ComputeAndCompareR1<float>(&builder, expected, {}, ErrorSpec(0.0001));
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}
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XLA_TEST_F(AxpySimpleTest, AxpyZeroValues) {
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XlaBuilder builder("axpy_10");
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auto alpha = ConstantR0<float>(&builder, 3.1415926535);
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auto x = ConstantR1<float>(&builder, {});
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auto y = ConstantR1<float>(&builder, {});
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auto ax = Mul(alpha, x);
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Add(ax, y);
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std::vector<float> expected = {};
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ComputeAndCompareR1<float>(&builder, expected, {}, ErrorSpec(0.0001));
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}
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TEST_F(AxpySimpleTest, AxpyTenValues) {
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XlaBuilder builder("axpy_10");
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auto alpha = ConstantR0<float>(&builder, 3.1415926535);
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auto x = ConstantR1<float>(
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&builder, {-1.0, 1.0, 2.0, -2.0, -3.0, 3.0, 4.0, -4.0, -5.0, 5.0});
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auto y = ConstantR1<float>(
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&builder, {5.0, -5.0, -4.0, 4.0, 3.0, -3.0, -2.0, 2.0, 1.0, -1.0});
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auto ax = Mul(alpha, x);
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Add(ax, y);
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TF_ASSERT_OK_AND_ASSIGN(ProgramShape shape, builder.GetProgramShape());
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EXPECT_EQ("() -> f32[10]", ShapeUtil::HumanString(shape));
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std::vector<float> expected = {
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1.85840735, -1.85840735, 2.28318531, -2.28318531, -6.42477796,
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6.42477796, 10.56637061, -10.56637061, -14.70796327, 14.70796327};
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ComputeAndCompareR1<float>(&builder, expected, {}, ErrorSpec(0.0001));
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}
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} // namespace
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} // namespace xla
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