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/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/compiler/xla/array.h"
#include <initializer_list>
#include "tensorflow/compiler/xla/test.h"
namespace xla {
namespace {
TEST(ArrayTest, UninitializedDimsCtor) {
Array<int> uninit({2, 3});
EXPECT_EQ(uninit.num_dimensions(), 2);
EXPECT_EQ(uninit.dim(0), 2);
EXPECT_EQ(uninit.dim(1), 3);
EXPECT_EQ(uninit.num_elements(), 6);
}
TEST(ArrayTest, FillCtor) {
Array<int> fullof7({1, 2, 3}, 7);
EXPECT_EQ(fullof7.dim(0), 1);
EXPECT_EQ(fullof7.dim(1), 2);
EXPECT_EQ(fullof7.dim(2), 3);
for (int64_t n0 = 0; n0 < fullof7.dim(0); ++n0) {
for (int64_t n1 = 0; n1 < fullof7.dim(1); ++n1) {
for (int64_t n2 = 0; n2 < fullof7.dim(2); ++n2) {
EXPECT_EQ(fullof7(n0, n1, n2), 7);
}
}
}
}
TEST(ArrayTest, InitializerListCtor) {
Array<int> arr({{1, 2, 3}, {4, 5, 6}});
EXPECT_EQ(arr.dim(0), 2);
EXPECT_EQ(arr.dim(1), 3);
EXPECT_EQ(arr(0, 0), 1);
EXPECT_EQ(arr(0, 1), 2);
EXPECT_EQ(arr(0, 2), 3);
EXPECT_EQ(arr(1, 0), 4);
EXPECT_EQ(arr(1, 1), 5);
EXPECT_EQ(arr(1, 2), 6);
}
TEST(ArrayTest, InitializerListCtorHalf) {
Array<Eigen::half> d2({{1.0f, 2.0f, 3.0f}, {4.0f, 5.0f, 6.0f}});
EXPECT_EQ(d2.dim(0), 2);
EXPECT_EQ(d2.dim(1), 3);
Array<Eigen::half> d3({{{1.0f}, {4.0f}}, {{1.0f}, {4.0f}}, {{1.0f}, {4.0f}}});
EXPECT_EQ(d3.dim(0), 3);
EXPECT_EQ(d3.dim(1), 2);
EXPECT_EQ(d3.dim(2), 1);
Array<Eigen::half> d4(
{{{{1.0f}, {4.0f}}, {{1.0f}, {4.0f}}, {{1.0f}, {4.0f}}},
{{{1.0f}, {4.0f}}, {{1.0f}, {4.0f}}, {{1.0f}, {4.0f}}}});
EXPECT_EQ(d4.dim(0), 2);
EXPECT_EQ(d4.dim(1), 3);
EXPECT_EQ(d4.dim(2), 2);
EXPECT_EQ(d4.dim(3), 1);
}
TEST(ArrayTest, IndexingReadWrite) {
Array<int> arr({2, 3});
EXPECT_EQ(arr(1, 1), 0);
EXPECT_EQ(arr(1, 2), 0);
arr(1, 1) = 51;
arr(1, 2) = 61;
EXPECT_EQ(arr(1, 1), 51);
EXPECT_EQ(arr(1, 2), 61);
}
TEST(ArrayTest, DynamicIndexingReadWrite) {
Array<int> arr({2, 3});
std::vector<int64_t> index1 = {1, 1};
std::vector<int64_t> index2 = {1, 2};
EXPECT_EQ(arr(index1), 0);
EXPECT_EQ(arr(index2), 0);
arr(index1) = 51;
arr(index2) = 61;
EXPECT_EQ(arr(1, 1), 51);
EXPECT_EQ(arr(1, 2), 61);
}
TEST(ArrayTest, IndexingReadWriteBool) {
Array<bool> arr{{false, true, false}, {false, true, false}};
EXPECT_EQ(arr(0, 1), true);
EXPECT_EQ(arr(0, 2), false);
arr(0, 1) = false;
arr(0, 2) = true;
EXPECT_EQ(arr(0, 1), false);
EXPECT_EQ(arr(0, 2), true);
}
TEST(ArrayTest, Fill) {
Array<int> fullof7({2, 3}, 7);
for (int64_t n1 = 0; n1 < fullof7.dim(0); ++n1) {
for (int64_t n2 = 0; n2 < fullof7.dim(1); ++n2) {
EXPECT_EQ(fullof7(n1, n2), 7);
}
}
fullof7.Fill(11);
for (int64_t n1 = 0; n1 < fullof7.dim(0); ++n1) {
for (int64_t n2 = 0; n2 < fullof7.dim(1); ++n2) {
EXPECT_EQ(fullof7(n1, n2), 11);
}
}
}
TEST(ArrayTest, DataPointer) {
Array<int> arr{{1, 2, 3}, {4, 5, 6}};
EXPECT_EQ(arr.data()[0], 1);
}
TEST(ArrayTest, StringificationEmpty) {
Array<int64_t> arr({}, 0);
constexpr absl::string_view expected = "";
EXPECT_EQ(expected, arr.ToString());
}
TEST(ArrayTest, Stringification1D) {
Array<int64_t> arr({2}, 1);
const std::string expected = R"([1, 1])";
EXPECT_EQ(expected, arr.ToString());
}
TEST(ArrayTest, StringificationEmpty1D) {
Array<int64_t> arr({0}, 0);
constexpr absl::string_view expected = "[]";
EXPECT_EQ(expected, arr.ToString());
}
TEST(ArrayTest, Stringification2D) {
Array<int64_t> arr({2, 3}, 7);
const std::string expected = "[[7, 7, 7],\n [7, 7, 7]]";
EXPECT_EQ(expected, arr.ToString());
}
TEST(ArrayTest, StringificationEmpty2D) {
Array<int64_t> arr({0, 0}, 0);
constexpr absl::string_view expected = "[[]]";
EXPECT_EQ(expected, arr.ToString());
}
TEST(ArrayTest, Stringification3D) {
Array<int64_t> arr({2, 3, 4}, 5);
const std::string expected = R"([[[5, 5, 5, 5],
[5, 5, 5, 5],
[5, 5, 5, 5]],
[[5, 5, 5, 5],
[5, 5, 5, 5],
[5, 5, 5, 5]]])";
EXPECT_EQ(expected, arr.ToString());
}
TEST(ArrayTest, StringificationEmpty3D) {
Array<int64_t> arr({0, 0, 0}, 0);
constexpr absl::string_view expected = "[[[]]]";
EXPECT_EQ(expected, arr.ToString());
}
TEST(ArrayTest, Stringification3DOneZeroDim) {
Array<int64_t> arr({1, 0, 2}, 0);
constexpr absl::string_view expected = "[[[, ]]]";
EXPECT_EQ(expected, arr.ToString());
}
TEST(ArrayTest, Each) {
Array<int64_t> arr({2, 3, 4});
arr.FillWithMultiples(1);
int64_t each_count = 0, each_sum = 0;
arr.Each([&](absl::Span<const int64_t> idx, int cell) {
int64_t lin_idx = idx[0] * 12 + idx[1] * 4 + idx[2];
EXPECT_EQ(lin_idx, cell);
each_count++;
each_sum += cell;
});
EXPECT_EQ(arr.num_elements(), each_count);
EXPECT_EQ(arr.num_elements() * (arr.num_elements() - 1) / 2, each_sum);
}
TEST(ArrayTest, Slice) {
Array<int64_t> arr({2, 4});
arr.FillWithMultiples(1);
Array<int64_t> identity_slice = arr.Slice({0, 0}, {2, 4});
EXPECT_EQ(identity_slice.dimensions(), arr.dimensions());
for (auto it1 = arr.begin(), it2 = identity_slice.begin(), e = arr.end();
it1 != e; ++it1, ++it2) {
EXPECT_EQ(*it1, *it2);
}
Array<int64_t> sub_slice = arr.Slice({1, 0}, {2, 2});
EXPECT_EQ(sub_slice.dimensions(), (std::vector<int64_t>{1, 2}));
const std::string expected = R"([[4, 5]])";
EXPECT_EQ(expected, sub_slice.ToString());
}
TEST(ArrayTest, UpdateSlice) {
Array<int64_t> arr({3, 4});
arr.FillWithMultiples(1);
Array<int64_t> sub_arr({2, 2});
sub_arr.FillWithMultiples(3);
arr.UpdateSlice(sub_arr, {1, 1});
const std::string expected = R"([[0, 1, 2, 3],
[4, 0, 3, 7],
[8, 6, 9, 11]])";
EXPECT_EQ(expected, arr.ToString());
}
} // namespace
} // namespace xla