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[Fix] Fix astype copy when target dtype is same as source Tensor#69333

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HydrogenSulfate merged 8 commits intoPaddlePaddle:developfrom
HydrogenSulfate:fix_astype_copy
Nov 15, 2024
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[Fix] Fix astype copy when target dtype is same as source Tensor#69333
HydrogenSulfate merged 8 commits intoPaddlePaddle:developfrom
HydrogenSulfate:fix_astype_copy

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@HydrogenSulfate HydrogenSulfate commented Nov 12, 2024 •
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Bug fixes

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Pcard-75624

当 dtype 与 Tensor.dtype 相同时，Tensor.astype 仍然会将原 Tensor 进行cast，复制出一个新的 Tensor，正确的行为应该是直接返回原Tensor，与竞品行为保持一致

import paddle
import torch

x = torch.randn([2,2]).cuda()
assert x.to(x.dtype).data_ptr() == x.data_ptr()
assert x.type(x.dtype).data_ptr() == x.data_ptr()

x = paddle.randn([2,2])
assert x.to(x.dtype).data_ptr() == x.data_ptr()
assert x.astype(x.dtype).data_ptr() == x.data_ptr() # <-- 此处仍然会进行复制，不符合预期

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SigureMo
SigureMo reviewed Nov 12, 2024
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python/paddle/base/framework.py Outdated
def convert_np_dtype_to_dtype_(np_dtype):
def convert_np_dtype_to_dtype_(
np_dtype: np.dtype | str,
) -> paddle.dtype | paddle.base.libpaddle.VarDesc.VarType:
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PIR 下返回的是 DataType

test/legacy_test/test_math_op_patch_pir.py Outdated
with paddle.pir_utils.IrGuard():
x = paddle.static.data(name='x', shape=[3, 2, 1])
y = x.astype(x.dtype)
self.assertEqual(x, y)
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这里和前面一样用 id 比较可以，在 Value 没有析构的情况下，PyObject 相同可以表示 IR 的 Value 是同一个

也可以用 x.is_same(y)，C++ 层调用的是 Value 的 operator=

SigureMo
SigureMo approved these changes Nov 15, 2024
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LGTMeow 🐾

@HydrogenSulfate HydrogenSulfate merged commit 8b6b703 into PaddlePaddle:develop Nov 15, 2024
@HydrogenSulfate HydrogenSulfate deleted the fix_astype_copy branch November 15, 2024 03:06
This was referenced Nov 20, 2024
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github-merge-queue bot pushed a commit to deepmodeling/deepmd-kit that referenced this pull request Dec 17, 2024
@HydrogenSulfate @pre-commit-ci
pd: support dpa1 (#4414)
e8167ce 
Summary of this PR:

1. upload DPA-1 related code
2. merge much develop code
3. add all eager composite operators except `softmax_grad`,
`p_norm_grad`, `split_grad`, and `concat_grad` to the composite operator
blacklist(<https://github.com/deepmodeling/deepmd-kit/pull/4414/files#diff-e678abb052b278f8a479f8d13b839a9ec0effd9923478a850bc13758f918e1e9R134-R148>)
to significantly improve model execution speed (reducing the time taken
from 100% more than PyTorch to about 10% to 15% more).


related PR: lanpa/tensorboardX#728


### Training curve:


![training_curves_comparison_eager_opt](https://github.com/user-attachments/assets/3b71fc99-5abf-4353-a61a-38737d3c7f2c)

### Accuracy test(left: paddle, right: torch):


![image](https://github.com/user-attachments/assets/a42b4bfd-c0f8-4eb8-85eb-ff1adf981dbb)


Ralated optimization of Paddle framework:
- [x] PaddlePaddle/Paddle#69349
- [x] PaddlePaddle/Paddle#69333
- [x] PaddlePaddle/Paddle#69479
- [x] PaddlePaddle/Paddle#69515
- [x] PaddlePaddle/Paddle#69487
- [x] PaddlePaddle/Paddle#69661
- [x] PaddlePaddle/Paddle#69660
- [x] PaddlePaddle/Paddle#69596
- [x] PaddlePaddle/Paddle#69556

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

## Release Notes

- **New Features**
- Introduced several new classes for molecular descriptors, including
`DescrptDPA1`, `DescrptBlockSeAtten`, and `LayerNorm`, enhancing the
modeling capabilities for molecular simulations.
- Added new JSON configuration files for model parameters and multitask
models related to water simulations.
- Implemented new test classes for validating the functionality of the
`DPAtomicModel` and various descriptor classes.
- Added new test classes for evaluating denoising models, including
`TestDenoiseModelDPA1` and `TestDenoiseModelDPA2`.
- Enhanced the `ModelWrapper` class to clarify the handling of model
parameters and state management.

- **Bug Fixes**
- Improved internal logic for handling model state saving and loading,
ensuring consistency in outputs.

- **Documentation**
- Enhanced type hints and return annotations across various classes and
methods for better clarity.

- **Tests**
- Expanded the testing framework with new test cases for denoising
models and descriptor functionalities, ensuring robust validation of
features.
- Activated previously skipped tests for energy models, improving test
coverage.
- Enhanced multitask training tests with new configuration handling and
test classes.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
github-merge-queue bot pushed a commit to deepmodeling/deepmd-kit that referenced this pull request Dec 25, 2024
@HydrogenSulfate @pre-commit-ci
pd: support dpa2 (#4418)
beeb3d9 
Support DPA-2 in paddle backend. This PR will be updated after #4414 is
merged.

### Training curve:


![training_curves_comparison_dpa2](https://github.com/user-attachments/assets/29bdeffa-cf2d-4586-afcf-7df0569997c3)



### Accuracy test(left: paddle, right: torch):


![image](https://github.com/user-attachments/assets/5bff55f3-1c39-4b95-93f0-68783e794716)


Ralated optimization of Paddle framework:
- [x] PaddlePaddle/Paddle#69349
- [x] PaddlePaddle/Paddle#69333
- [x] PaddlePaddle/Paddle#69479
- [x] PaddlePaddle/Paddle#69515
- [x] PaddlePaddle/Paddle#69487
- [x] PaddlePaddle/Paddle#69661
- [x] PaddlePaddle/Paddle#69660
- [x] PaddlePaddle/Paddle#69596
- [x] PaddlePaddle/Paddle#69556

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

- **New Features**
- Introduced new classes for molecular descriptors: `DescrptDPA2`,
`DescrptBlockRepformers`, `DescrptSeTTebd`, and `DescrptBlockSeTTebd`.
- Added new functions for tensor operations and descriptor management,
enhancing the capabilities of the module.
- Updated JSON configurations for multitask models to refine selection
criteria and data paths.

- **Bug Fixes**
- Improved error handling and parameter validation across various
descriptor classes.

- **Documentation**
- Enhanced test coverage for new descriptor functionalities and
configurations.

- **Tests**
- Added new test classes to validate the functionality of `DescrptDPA2`
and multitask training scenarios.
- Expanded test capabilities for descriptor classes based on installed
dependencies.
- Updated existing tests to support new configurations and
functionalities.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Reviewers

@SigureMo SigureMo SigureMo approved these changes

@XiaoguangHu01 XiaoguangHu01 Awaiting requested review from XiaoguangHu01 XiaoguangHu01 is a code owner

@zhiqiu zhiqiu Awaiting requested review from zhiqiu

@Xreki Xreki Awaiting requested review from Xreki Xreki is a code owner

@qili93 qili93 Awaiting requested review from qili93 qili93 is a code owner

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@HydrogenSulfate @SigureMo