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[PHI] Fix shape int overflow for flatten and split by ggggxm · Pull Request #72634 · PaddlePaddle/Paddle · GitHub
lshpku
changed the title
【PHI】 Fix Shape Int overflow for flatten/split/expand_as
[PHI] Fix shape int overflow for flatten/split/expand_as
May 9, 2025
ggggxm
changed the title
[PHI] Fix shape int overflow for flatten/split/expand_as
[PHI] Fix shape int overflow for flatten and split
May 16, 2025
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[PHI] Fix shape int overflow for flatten and split #72634
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你的PR提交成功，感谢你对开源项目的贡献! |
lshpku
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lshpku
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May 9, 2025
| DenseTensor* out) { | ||
| std::vector<int> target_shape = target_shape_t; | ||
| template <typename T, typename Context, typename ShapeType> | ||
| void ExpandAsKernelInner(const Context& ctx, |
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感觉这个叫ExpandAsKernelImpl好一点，虽然Inner也有人用，但是我还是觉得Impl更贴切
lshpku
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May 9, 2025
Comment on lines
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| bool use_int64 = | ||
| std::any_of(target_shape_t.begin(), target_shape_t.end(), [](int64_t v) { | ||
| return v > static_cast<int64_t>(std::numeric_limits<int32_t>::max()); | ||
| }); |
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如果每个shape[i]都不超过，但是乘在一起超过了会怎么样？
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expand_as只需要对target_shape的形状逐个进行判断，再进行broadcast操作，应该不影响？单个测试用例
x = paddle.ones([1, 1], dtype="bfloat16")，
y = paddle.ones([1281701379, 3], dtype="bfloat16")，
paddle.Tensor.expand_as(x, y)
是没有问题的
ggggxm
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lshpku
approved these changes
May 19, 2025
wanghuancoder
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Jun 3, 2025
* refine forrange (#72360) * refine forrange * refine forrange * reduce support big tensor (#71970) * reduce support big tensor * [PHI] Fix gridDim limit for reduce kernel (#72507) * [API] isclose support bigtensor (#72516) * isclose support bigtensor * refine * [API] isnan isinf isfinite support bigtensor (#72517) * isnan isinf isfinite support bigtensor * refine * [PHI] Fix cum kernel for big tensor (#72562) * [PHI] Preliminary fix for elementwise broadcast int32 shape overflow (#72584) * [PHI] Align linalg.solve kernel with torch (#72608) * Update strided copy kernel (#72662) * [PHI] Fix grid sample kernel for big tensor (#72628) * [PHI] Fix argsort big tensor bug (#72712) * [PHI] Fixed argsort big tensor bug * [PHI] Fixed shape mismatch problem. * [PHI] Fix contiguous kernel for big tensor (#72705) * [PHI] Fix flatten and split kernel for big tensor (#72634) * [PHI] Fix out-of-bound issue of paddle.take_along_axis (#72757) * [PHI] fix paddle.diag with big tensor (#72638) * [API] fix paddle.cross with big tensor (#72652) * [PHI] Fix paddle.where api for big tensor (#72717) * [PHI] Fix bincount kernel for big tensor (#72706) * fix bincount kernel for big tensor * use HostAlloc to alloc memory * add cpu test case * [PHI] Fix full_like kernel for big tensor (#72831) * [API] Fix int overflow and float16 support for paddle.frac (#72815) * [PHI] Align paddle.inner with torch in matmul logic (#72843) * [PHI] Fix paddle.var & paddle.std float16 overflow (#72650) * [PHI] Fix logsumexp precision problem (#72681) * [PHI] Debug for logsumexp, bug source found * [PHI] Removed GetNumBlocks func to get correct logsumexp * [PHI] Removed redundant debug VLOG * [PHI] Elegant grid bounded solution * [Accuracy diff No.55-56、76-77] Fix accuracy diff for var&std API (#72879) * [Accuracy diff No.21] Fix accuracy diff for heaviside API (#72894) --------- Co-authored-by: Shuhao Liang <50269654+lshpku@users.noreply.github.com> Co-authored-by: Qianyue He <46109954+Enigmatisms@users.noreply.github.com> Co-authored-by: Lei Ding <69283446+Dmovic@users.noreply.github.com> Co-authored-by: ggggxm <66855582+ggggxm@users.noreply.github.com> Co-authored-by: xkkkkkk23 <xiekeke@baidu.com> Co-authored-by: Zx <zhangxiao35@baidu.com> Co-authored-by: huangjiyi <43315610+huangjiyi@users.noreply.github.com> Co-authored-by: ooo oo <106524776+ooooo-create@users.noreply.github.com>
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PR Category
Operator Mechanism
PR Types
Bug fixes
Description
paddle.Flattenpaddle.Split因为paddle.vector_to_parameters会调用splitapi，因此它也被修复