wehub-resource-sync
116 lines
4.3 KiB
C++
116 lines
4.3 KiB
C++
// Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#include <ATen/Functions.h>
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#include <ATen/core/TensorBody.h>
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#include <ATen/cuda/EmptyTensor.h>
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#include <ATen/native/cuda/Resize.h>
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#include <ATen/ops/tensor.h>
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#include <c10/core/ScalarType.h>
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#include <c10/core/SymInt.h>
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#include <c10/core/TensorOptions.h>
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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#include <c10/cuda/CUDAFunctions.h>
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#include <c10/cuda/CUDAGuard.h>
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#endif
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#include "ATen/ATen.h"
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#include "gtest/gtest.h"
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#include "paddle/phi/common/float16.h"
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#include "torch/all.h"
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// ============================================================
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// Tests for at::Tensor::coalesce() and at::Tensor::is_coalesced()
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// ============================================================
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// Helper: build a 2-D sparse COO tensor from indices and values.
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// indices shape: [sparse_dim, nnz], values shape: [nnz]
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static at::Tensor make_sparse(at::Tensor indices,
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at::Tensor values,
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c10::IntArrayRef size) {
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return at::sparse_coo_tensor(indices, values, size);
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}
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TEST(TensorCoalesceTest, NewSparseNotCoalesced) {
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// A freshly created sparse COO tensor reports is_coalesced() == false.
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at::Tensor indices =
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at::tensor({0, 0, 1, 1, 1, 2}, at::kLong).reshape({2, 3});
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at::Tensor values = at::tensor({1.0f, 2.0f, 3.0f}, at::kFloat);
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at::Tensor sparse = make_sparse(indices, values, {3, 3});
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ASSERT_FALSE(sparse.is_coalesced());
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}
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TEST(TensorCoalesceTest, CoalesceReturnsSparse) {
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// coalesce() returns a sparse COO tensor.
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at::Tensor indices =
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at::tensor({0, 0, 1, 1, 1, 2}, at::kLong).reshape({2, 3});
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at::Tensor values = at::tensor({1.0f, 2.0f, 3.0f}, at::kFloat);
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at::Tensor sparse = make_sparse(indices, values, {3, 3});
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at::Tensor coalesced = sparse.coalesce();
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ASSERT_EQ(coalesced.layout(), c10::kSparse);
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}
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TEST(TensorCoalesceTest, CoalescedTensorIsCoalesced) {
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// After calling coalesce(), is_coalesced() must return true.
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at::Tensor indices =
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at::tensor({0, 0, 1, 1, 1, 2}, at::kLong).reshape({2, 3});
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at::Tensor values = at::tensor({1.0f, 2.0f, 3.0f}, at::kFloat);
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at::Tensor sparse = make_sparse(indices, values, {3, 3});
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at::Tensor coalesced = sparse.coalesce();
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ASSERT_TRUE(coalesced.is_coalesced());
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}
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TEST(TensorCoalesceTest, CoalesceDuplicateIndices_SumsValues) {
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// Duplicate indices [(0,1) appears twice] are merged; values are summed.
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// indices = [[0,0],[1,1]] (both at (0,1))
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at::Tensor indices = at::tensor({0, 0, 1, 1}, at::kLong).reshape({2, 2});
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at::Tensor values = at::tensor({1.0f, 2.0f}, at::kFloat);
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at::Tensor sparse = make_sparse(indices, values, {3, 3});
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at::Tensor coalesced = sparse.coalesce();
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ASSERT_TRUE(coalesced.is_coalesced());
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// After coalescing, nnz should be 1 (duplicates merged)
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ASSERT_EQ(coalesced._nnz(), 1);
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// The merged value at (0,1) should be 1+2 = 3
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ASSERT_FLOAT_EQ(coalesced._values()[0].item<float>(), 3.0f);
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}
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TEST(TensorCoalesceTest, CoalesceIdempotent) {
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// Calling coalesce() on an already-coalesced tensor returns the same tensor.
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at::Tensor indices = at::tensor({0, 1, 1, 2}, at::kLong).reshape({2, 2});
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at::Tensor values = at::tensor({1.0f, 2.0f}, at::kFloat);
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at::Tensor sparse = make_sparse(indices, values, {3, 3});
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at::Tensor coalesced1 = sparse.coalesce();
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at::Tensor coalesced2 = coalesced1.coalesce(); // already coalesced
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ASSERT_TRUE(coalesced2.is_coalesced());
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}
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TEST(TensorCoalesceTest, CoalesceOnDenseTensorThrows) {
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// coalesce() on a dense tensor must throw.
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at::Tensor dense = at::ones({3, 3}, at::kFloat);
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ASSERT_THROW(dense.coalesce(), std::exception);
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}
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TEST(TensorCoalesceTest, IsCoalescedOnDenseTensorThrows) {
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// is_coalesced() on a dense tensor must throw.
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at::Tensor dense = at::ones({3, 3}, at::kFloat);
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ASSERT_THROW(dense.is_coalesced(), std::exception);
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}
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