/* 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 #include "tensorflow/compiler/xla/test.h" namespace xla { namespace { TEST(ArrayTest, UninitializedDimsCtor) { Array 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 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 n0 = 0; n0 < fullof7.dim(0); ++n0) { for (int64 n1 = 0; n1 < fullof7.dim(1); ++n1) { for (int64 n2 = 0; n2 < fullof7.dim(2); ++n2) { EXPECT_EQ(fullof7(n0, n1, n2), 7); } } } } TEST(ArrayTest, InitializerListCtor) { Array 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 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 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 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 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 arr({2, 3}); std::vector index1 = {1, 1}; std::vector 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 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 fullof7({2, 3}, 7); for (int64 n1 = 0; n1 < fullof7.dim(0); ++n1) { for (int64 n2 = 0; n2 < fullof7.dim(1); ++n2) { EXPECT_EQ(fullof7(n1, n2), 7); } } fullof7.Fill(11); for (int64 n1 = 0; n1 < fullof7.dim(0); ++n1) { for (int64 n2 = 0; n2 < fullof7.dim(1); ++n2) { EXPECT_EQ(fullof7(n1, n2), 11); } } } TEST(ArrayTest, DataPointer) { Array arr{{1, 2, 3}, {4, 5, 6}}; EXPECT_EQ(arr.data()[0], 1); } TEST(ArrayTest, Stringification1D) { Array arr({2}, 1); const string expected = R"([1, 1])"; EXPECT_EQ(expected, arr.ToString()); } TEST(ArrayTest, Stringification2D) { Array arr({2, 3}, 7); const string expected = "[[7, 7, 7],\n [7, 7, 7]]"; EXPECT_EQ(expected, arr.ToString()); } TEST(ArrayTest, Stringification3D) { Array arr({2, 3, 4}, 5); const 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, Each) { Array arr({2, 3, 4}); arr.FillWithMultiples(1); int64 each_count = 0, each_sum = 0; arr.Each([&](absl::Span idx, int cell) { int64 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 arr({2, 4}); arr.FillWithMultiples(1); Array 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 sub_slice = arr.Slice({1, 0}, {2, 2}); EXPECT_EQ(sub_slice.dimensions(), (std::vector{1, 2})); const string expected = R"([[4, 5]])"; EXPECT_EQ(expected, sub_slice.ToString()); } TEST(ArrayTest, UpdateSlice) { Array arr({3, 4}); arr.FillWithMultiples(1); Array sub_arr({2, 2}); sub_arr.FillWithMultiples(3); arr.UpdateSlice(sub_arr, {1, 1}); const string expected = R"([[0, 1, 2, 3], [4, 0, 3, 7], [8, 6, 9, 11]])"; EXPECT_EQ(expected, arr.ToString()); } } // namespace } // namespace xla