chore: import upstream snapshot with attribution
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// 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/common/macros.h"
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#include "paddle/phi/common/float16.h"
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#include "torch/all.h"
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COMMON_DECLARE_bool(use_stride_kernel);
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// ============================================================
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// Tests for at::Tensor::transpose_(int64_t dim0, int64_t dim1)
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// (in-place variant; out-of-place transpose is a separate path)
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// ============================================================
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TEST(TensorTransposeInplaceTest, Transpose2D_SwapDims) {
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// transpose_(0, 1) on a 2D tensor: shape becomes transposed in-place
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at::Tensor t = at::ones({3, 4}, at::kFloat);
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void* original_ptr = t.data_ptr();
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at::Tensor& ref = t.transpose_(0, 1);
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ASSERT_EQ(t.dim(), 2);
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ASSERT_EQ(t.sizes(), c10::IntArrayRef({4, 3}));
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// Returns *this by reference
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ASSERT_EQ(&ref, &t);
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ASSERT_EQ(t.data_ptr(), original_ptr);
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}
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TEST(TensorTransposeInplaceTest, Transpose3D_SwapFirstTwo) {
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// transpose_(0, 1) on a 3D tensor swaps first two axes in-place
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at::Tensor t = at::ones({2, 3, 4}, at::kFloat);
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void* original_ptr = t.data_ptr();
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t.transpose_(0, 1);
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ASSERT_EQ(t.dim(), 3);
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ASSERT_EQ(t.sizes(), c10::IntArrayRef({3, 2, 4}));
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ASSERT_EQ(t.data_ptr(), original_ptr);
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}
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TEST(TensorTransposeInplaceTest, Transpose3D_SwapLastTwo) {
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// transpose_(1, 2) on a 3D tensor swaps last two axes in-place
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at::Tensor t = at::ones({2, 3, 4}, at::kFloat);
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void* original_ptr = t.data_ptr();
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t.transpose_(1, 2);
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ASSERT_EQ(t.sizes(), c10::IntArrayRef({2, 4, 3}));
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ASSERT_EQ(t.data_ptr(), original_ptr);
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}
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TEST(TensorTransposeInplaceTest, TransposeInplace_PreservesValues) {
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if (!FLAGS_use_stride_kernel) {
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return;
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}
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// Verify values are correctly accessed after in-place transpose
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at::Tensor t = at::arange(6, at::kFloat).reshape({2, 3});
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// t = [[0,1,2],[3,4,5]]
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t.transpose_(0, 1);
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// After t: shape {3,2}, layout: [[0,3],[1,4],[2,5]]
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ASSERT_EQ(t.sizes(), c10::IntArrayRef({3, 2}));
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ASSERT_FLOAT_EQ(t[0][0].item<float>(), 0.0f);
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ASSERT_FLOAT_EQ(t[0][1].item<float>(), 3.0f);
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ASSERT_FLOAT_EQ(t[2][0].item<float>(), 2.0f);
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ASSERT_FLOAT_EQ(t[2][1].item<float>(), 5.0f);
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}
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TEST(TensorTransposeInplaceTest, TransposeInplace_SameDim_NoOp) {
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// transpose_(i, i) is a no-op; shape and data pointer are unchanged
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at::Tensor t = at::ones({3, 4}, at::kFloat);
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void* original_ptr = t.data_ptr();
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t.transpose_(0, 0);
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ASSERT_EQ(t.sizes(), c10::IntArrayRef({3, 4}));
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ASSERT_EQ(t.data_ptr(), original_ptr);
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}
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TEST(TensorTransposeInplaceTest,
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TransposeInplace_DoubleTranspose_RestoresShape) {
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// Two consecutive in-place transposes on same dims restore original shape
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at::Tensor t = at::ones({5, 7}, at::kFloat);
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t.transpose_(0, 1);
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ASSERT_EQ(t.sizes(), c10::IntArrayRef({7, 5}));
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t.transpose_(0, 1);
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ASSERT_EQ(t.sizes(), c10::IntArrayRef({5, 7}));
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}
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TEST(TensorTransposeTest, TransposeLargePositiveDimThrows) {
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at::Tensor t = at::ones({2, 3}, at::kFloat);
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ASSERT_ANY_THROW((void)at::transpose(t, 1LL << 32, 1));
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}
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TEST(TensorTransposeTest, TransposeLargeNegativeDimThrows) {
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at::Tensor t = at::ones({2, 3}, at::kFloat);
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ASSERT_ANY_THROW((void)t.transpose(0, -(1LL << 32)));
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}
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TEST(TensorTransposeInplaceTest, TransposeInplaceLargeDimThrowsUnchanged) {
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at::Tensor t = at::ones({2, 3}, at::kFloat);
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ASSERT_ANY_THROW((void)t.transpose_(1LL << 32, 1));
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ASSERT_EQ(t.sizes(), c10::IntArrayRef({2, 3}));
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}
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TEST(TensorTransposeTest, TransposeLegalNegativeDims) {
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at::Tensor t = at::ones({2, 3}, at::kFloat);
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at::Tensor result = at::transpose(t, -1, -2);
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ASSERT_EQ(result.sizes(), c10::IntArrayRef({3, 2}));
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t.transpose_(-1, -2);
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ASSERT_EQ(t.sizes(), c10::IntArrayRef({3, 2}));
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}
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