114 lines
4.3 KiB
C++
114 lines
4.3 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 "tensorflow/compiler/xla/client/lib/arithmetic.h"
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#include <initializer_list>
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#include "tensorflow/compiler/xla/client/xla_builder.h"
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#include "tensorflow/compiler/xla/literal_util.h"
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#include "tensorflow/compiler/xla/primitive_util.h"
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#include "tensorflow/compiler/xla/test.h"
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#include "tensorflow/compiler/xla/tests/client_library_test_base.h"
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#include "tensorflow/compiler/xla/tests/test_macros.h"
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#include "tensorflow/compiler/xla/types.h"
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#include "tensorflow/compiler/xla/xla_data.pb.h"
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namespace xla {
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namespace {
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class ArithmeticTest : public ClientLibraryTestBase {
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public:
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template <typename NativeT>
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void TestArgMin(std::initializer_list<std::initializer_list<NativeT>> input,
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absl::Span<NativeT const> expected_output, int axis,
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bool tie_low) {
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TestArgMinMax(input, expected_output, axis, /*is_min=*/true, tie_low);
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}
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template <typename NativeT>
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void TestArgMax(std::initializer_list<std::initializer_list<NativeT>> input,
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absl::Span<NativeT const> expected_output, int axis,
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bool tie_low) {
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TestArgMinMax(input, expected_output, axis, /*is_min=*/false, tie_low);
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}
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private:
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// Test ArgMin/ArgMax implementation, both single- and two- pass.
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template <typename NativeT>
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void TestArgMinMax(
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std::initializer_list<std::initializer_list<NativeT>> input,
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absl::Span<NativeT const> expected_output, int axis, bool is_min,
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bool tie_low) {
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if (is_min) {
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TestArgMinMaxImpl(
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input, expected_output, [=](XlaOp op, PrimitiveType type) {
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return ArgMin(op, type, axis, /*stable=*/true, tie_low);
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});
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TestArgMinMaxImpl(input, expected_output,
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[=](XlaOp op, PrimitiveType type) {
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return ArgMinTwoPass(op, type, axis, tie_low);
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});
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} else {
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TestArgMinMaxImpl(
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input, expected_output, [=](XlaOp op, PrimitiveType type) {
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return ArgMax(op, type, axis, /*stable=*/true, tie_low);
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});
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TestArgMinMaxImpl(input, expected_output,
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[=](XlaOp op, PrimitiveType type) {
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return ArgMaxTwoPass(op, type, axis, tie_low);
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});
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}
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}
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template <typename NativeT>
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void TestArgMinMaxImpl(
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std::initializer_list<std::initializer_list<NativeT>> input,
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absl::Span<NativeT const> expected_output,
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std::function<void(XlaOp, PrimitiveType)> MinMaxImpl) {
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XlaBuilder builder(TestName());
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XlaOp x = ConstantR2<NativeT>(&builder, input);
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MinMaxImpl(x, primitive_util::NativeToPrimitiveType<NativeT>());
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ComputeAndCompareR1<NativeT>(&builder, expected_output, {});
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}
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};
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XLA_TEST_F(ArithmeticTest, ArgMinR2Axis0) {
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TestArgMin<int32>({{1, 7, 4}, {6, 3, 5}, {8, 3, 3}}, {0, 1, 2},
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/*axis=*/0, /*tie_low=*/true);
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TestArgMin<int32>({{1, 7, 4}, {6, 3, 5}, {8, 3, 3}}, {0, 2, 2},
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/*axis=*/0, /*tie_low=*/false);
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}
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XLA_TEST_F(ArithmeticTest, ArgMinR2Axis1) {
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TestArgMin<int32>({{1, 7, 4}, {6, 3, 5}, {8, 3, 3}}, {0, 1, 1},
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/*axis=*/1, /*tie_low=*/true);
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TestArgMin<int32>({{1, 7, 4}, {6, 3, 5}, {8, 3, 3}}, {0, 1, 2},
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/*axis=*/1, /*tie_low=*/false);
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}
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XLA_TEST_F(ArithmeticTest, ArgMaxR2Axis0) {
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TestArgMax<int32>({{1, 7, 4}, {6, 3, 5}, {8, 3, 3}}, {2, 0, 1},
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/*axis=*/0, /*tie_low=*/true);
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}
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XLA_TEST_F(ArithmeticTest, ArgMaxR2Axis1) {
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TestArgMax<int32>({{1, 7, 4}, {6, 3, 5}, {8, 3, 3}}, {1, 0, 0},
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/*axis=*/1, /*tie_low=*/true);
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}
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} // namespace
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} // namespace xla
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