8000 torch.save does not save python attributes attached to Tensors or Parameters · Issue #72129 · pytorch/pytorch · GitHub
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thegregyang opened this issue Feb 1, 2022 · 3 comments
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torch.save does not save python attributes attached to Tensors or Parameters #72129

thegregyang opened this issue Feb 1, 2022 · 3 comments
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@kshitij12345
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high priority module: serialization Issues related to serialization (e.g., via pickle, or otherwise) of PyTorch objects release notes: python_frontend python frontend release notes category triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module

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@thegregyang
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thegregyang commented Feb 1, 2022 •
edited by pytorch-bot bot
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🐛 Describe the bug

If one attaches python attributes to a Tensor or Parameter, these attributes are not saved by torch.save. This is not expected based on torch's documentation that "torch.save() and torch.load() use Python’s pickle by default".

import torch
xx = torch.zeros(3, 4)
xx.foo = 'bar'
torch.save(xx, '_xx.pt')
torch.load('_xx.pt').foo

yields an error

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_19139/1249207437.py in <module>
----> 1 torch.load('_xx.pt').foo

AttributeError: 'Tensor' object has no attribute 'foo'

whereas one would expect this returns 'bar'.

Versions

Collecting environment information...
PyTorch version: 1.10.2
Is debug build: False
CUDA used to build PyTorch: 11.3
ROCM used to build PyTorch: N/A

OS: Ubuntu 18.04.3 LTS (x86_64)
GCC version: (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.27

Python version: 3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-5.4.0-1067-azure-x86_64-with-glibc2.27
Is CUDA available: True
CUDA runtime version: Could not collect
GPU models and configuration: GPU 0: Tesla P100-PCIE-16GB
Nvidia driver version: 495.46
cuDNN version: /usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.5
HIP runtime version: N/A
MIOpen runtime version: N/A

Versions of relevant libraries:
[pip3] numpy==1.21.2
[pip3] torch==1.10.2
[pip3] torchaudio==0.10.2
[pip3] torchvision==0.11.3
[conda] blas 1.0 mkl
[conda] cudatoolkit 11.3.1 h2bc3f7f_2
[conda] ffmpeg 4.3 hf484d3e_0 pytorch
[conda] mkl 2021.3.0 h06a4308_520
[conda] mkl-service 2.4.0 py39h7f8727e_0
[conda] mkl_fft 1.3.1 py39hd3c417c_0
[conda] mkl_random 1.2.2 py39h51133e4_0
[conda] numpy 1.21.2 py39h20f2e39_0
[conda] numpy-base 1.21.2 py39h79a1101_0
[conda] pytorch 1.10.2 py3.9_cuda11.3_cudnn8.2.0_0 pytorch
[conda] pytorch-mutex 1.0 cuda pytorch
[conda] torchaudio 0.10.2 py39_cu113 pytorch
[conda] torchvision 0.11.3 py39_cu113 pytorch

cc @ezyang @gchanan @zou3519 @mruberry
@albanD
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albanD commented Feb 2, 2022

Hi,

This was fixed on master. Can you try with a nightly build to confirm?

@albanD albanD added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label Feb 2, 2022
@zou3519
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zou3519 commented Mar 24, 2022

Did the fix make it to PyTorch 1.11?

@albanD
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albanD commented Mar 25, 2022

After double checking this was fixed only for subclasses and the fastpath for plain Tensors does not handle that.

@albanD albanD added high priority module: serialization Issues related to serialization (e.g., via pickle, or otherwise) of PyTorch objects release notes: python_frontend python frontend release notes category labels Mar 25, 2022
@kshitij12345 kshitij12345 self-assigned this Jul 17, 2022
@kshitij12345 kshitij12345 mentioned this issue Jul 17, 2022
Closed
1 task
pytorchmergebot pushed a commit that referenced this issue Nov 3, 2022
@kshitij12345 @pytorchmergebot
[fix] allow saving python attr on Tensor and Parameter via torch.save (…
54b6188 
…#81616)

Fixes: #72129

TODO:
* [x] Fix for Parameter

Benchmark
(Measurable diff for small tensors)
```
[-------------- Save and Load --------------]
                    |  After PR  |  Before PR
1 threads: ----------------------------------
      ()            |    111.7   |     106.9
      (4, 4)        |    114.4   |     109.2
      (128, 128)    |    135.2   |     128.3
      (1024, 1024)  |   1431.9   |    1431.3

Times are in microseconds (us).
```

<details>

<summary> Benchmark Script </summary>

```python
import torch
from torch.testing._internal.common_utils import BytesIOContext
from torch.utils import benchmark
import pickle

shapes = ((), (4, 4), (128, 128), (1024, 1024))

sizes = [1, 64, 1024, 10000]
results = []

def save_load_fn(t):
    with BytesIOContext() as f:
        torch.save(t, f)
        f.seek(0)
        torch.load(f)

for shape in shapes:
    t = torch.randn(shape)
    label = 'Save and Load'
    sub_label = f'{shape}'
    results.append(benchmark.Timer(
        stmt='save_load_fn(t)',
        globals={'t': t, 'save_load_fn':save_load_fn},
        label=label,
        sub_label=sub_label,
        description='Before PR',
    ).blocked_autorange(min_run_time=2))

compare = benchmark.Compare(results)
compare.print()

with open('before_pr.pkl', 'wb') as f:
    pickle.dump(results, f)

# with open('after_pr.pkl', 'rb') as f:
#     after_pr = pickle.load(f)

# with open('before_pr.pkl', 'rb') as f:
#     before_pr = pickle.load(f)

# compare = benchmark.Compare(after_pr + before_pr)
# compare.print()
```

</details>

NOTE : **BC-Breaking** : After this PR, all tensors (also regular tensors) will be serialised using `_rebuild_from_type_v2`.

Pull Request resolved: #81616
Approved by: https://github.com/albanD, https://github.com/kurtamohler
kulinseth pushed a commit to kulinseth/pytorch that referenced this issue Nov 5, 2022
@kshitij12345 @kulinseth
[fix] allow saving python attr on Tensor and Parameter via torch.save (…
8dd272c 
…pytorch#81616)

Fixes: pytorch#72129

TODO:
* [x] Fix for Parameter

Benchmark
(Measurable diff for small tensors)
```
[-------------- Save and Load --------------]
                    |  After PR  |  Before PR
1 threads: ----------------------------------
      ()            |    111.7   |     106.9
      (4, 4)        |    114.4   |     109.2
      (128, 128)    |    135.2   |     128.3
      (1024, 1024)  |   1431.9   |    1431.3

Times are in microseconds (us).
```

<details>

<summary> Benchmark Script </summary>

```python
import torch
from torch.testing._internal.common_utils import BytesIOContext
from torch.utils import benchmark
import pickle

shapes = ((), (4, 4), (128, 128), (1024, 1024))

sizes = [1, 64, 1024, 10000]
results = []

def save_load_fn(t):
    with BytesIOContext() as f:
        torch.save(t, f)
        f.seek(0)
        torch.load(f)

for shape in shapes:
    t = torch.randn(shape)
    label = 'Save and Load'
    sub_label = f'{shape}'
    results.append(benchmark.Timer(
        stmt='save_load_fn(t)',
        globals={'t': t, 'save_load_fn':save_load_fn},
        label=label,
        sub_label=sub_label,
        description='Before PR',
    ).blocked_autorange(min_run_time=2))

compare = benchmark.Compare(results)
compare.print()

with open('before_pr.pkl', 'wb') as f:
    pickle.dump(results, f)

# with open('after_pr.pkl', 'rb') as f:
#     after_pr = pickle.load(f)

# with open('before_pr.pkl', 'rb') as f:
#     before_pr = pickle.load(f)

# compare = benchmark.Compare(after_pr + before_pr)
# compare.print()
```

</details>

NOTE : **BC-Breaking** : After this PR, all tensors (also regular tensors) will be serialised using `_rebuild_from_type_v2`.

Pull Request resolved: pytorch#81616
Approved by: https://github.com/albanD, https://github.com/kurtamohler
pytorchmergebot pushed a commit that referenced this issue Nov 11, 2022
@kshitij12345 @pytorchmergebot
[fix] allow saving python attr on Tensor and Parameter via torch.save (…
f749463 
…#81616)

Fixes: #72129

TODO:
* [x] Fix for Parameter

Benchmark
(Measurable diff for small tensors)
```
[-------------- Save and Load --------------]
                    |  After PR  |  Before PR
1 threads: ----------------------------------
      ()            |    111.7   |     106.9
      (4, 4)        |    114.4   |     109.2
      (128, 128)    |    135.2   |     128.3
      (1024, 1024)  |   1431.9   |    1431.3

Times are in microseconds (us).
```

<details>

<summary> Benchmark Script </summary>

```python
import torch
from torch.testing._internal.common_utils import BytesIOContext
from torch.utils import benchmark
import pickle

shapes = ((), (4, 4), (128, 128), (1024, 1024))

sizes = [1, 64, 1024, 10000]
results = []

def save_load_fn(t):
    with BytesIOContext() as f:
        torch.save(t, f)
        f.seek(0)
        torch.load(f)

for shape in shapes:
    t = torch.randn(shape)
    label = 'Save and Load'
    sub_label = f'{shape}'
    results.append(benchmark.Timer(
        stmt='save_load_fn(t)',
        globals={'t': t, 'save_load_fn':save_load_fn},
        label=label,
        sub_label=sub_label,
        description='Before PR',
    ).blocked_autorange(min_run_time=2))

compare = benchmark.Compare(results)
compare.print()

with open('before_pr.pkl', 'wb') as f:
    pickle.dump(results, f)

# with open('after_pr.pkl', 'rb') as f:
#     after_pr = pickle.load(f)

# with open('before_pr.pkl', 'rb') as f:
#     before_pr = pickle.load(f)

# compare = benchmark.Compare(after_pr + before_pr)
# compare.print()
```

</details>

NOTE : **BC-Breaking** : After this PR, all tensors (also regular tensors) will be serialised using `_rebuild_from_type_v2`.

Pull Request resolved: #81616
Approved by: https://github.com/albanD, https://github.com/kurtamohler
kulinseth pushed a commit to kulinseth/pytorch that referenced this issue Dec 10, 2022
@kshitij12345 @kulinseth
[fix] allow saving python attr on Tensor and Parameter via torch.save (…
60997dd 
…pytorch#81616)

Fixes: pytorch#72129

TODO:
* [x] Fix for Parameter

Benchmark
(Measurable diff for small tensors)
```
[-------------- Save and Load --------------]
                    |  After PR  |  Before PR
1 threads: ----------------------------------
      ()            |    111.7   |     106.9
      (4, 4)        |    114.4   |     109.2
      (128, 128)    |    135.2   |     128.3
      (1024, 1024)  |   1431.9   |    1431.3

Times are in microseconds (us).
```

<details>

<summary> Benchmark Script </summary>

```python
import torch
from torch.testing._internal.common_utils import BytesIOContext
from torch.utils import benchmark
import pickle

shapes = ((), (4, 4), (128, 128), (1024, 1024))

sizes = [1, 64, 1024, 10000]
results = []

def save_load_fn(t):
    with BytesIOContext() as f:
        torch.save(t, f)
        f.seek(0)
        torch.load(f)

for shape in shapes:
    t = torch.randn(shape)
    label = 'Save and Load'
    sub_label = f'{shape}'
    results.append(benchmark.Timer(
        stmt='save_load_fn(t)',
        globals={'t': t, 'save_load_fn':save_load_fn},
        label=label,
        sub_label=sub_label,
        description='Before PR',
    ).blocked_autorange(min_run_time=2))

compare = benchmark.Compare(results)
compare.print()

with open('before_pr.pkl', 'wb') as f:
    pickle.dump(results, f)

# with open('after_pr.pkl', 'rb') as f:
#     after_pr = pickle.load(f)

# with open('before_pr.pkl', 'rb') as f:
#     before_pr = pickle.load(f)

# compare = benchmark.Compare(after_pr + before_pr)
# compare.print()
```

</details>

NOTE : **BC-Breaking** : After this PR, all tensors (also regular tensors) will be serialised using `_rebuild_from_type_v2`.

Pull Request resolved: pytorch#81616
Approved by: https://github.com/albanD, https://github.com/kurtamohler
kulinseth pushed a commit to kulinseth/pytorch that referenced this issue Dec 10, 2022
@kshitij12345 @kulinseth
[fix] allow saving python attr on Tensor and Parameter via torch.save (…
dc5e3c7 
…pytorch#81616)

Fixes: pytorch#72129

TODO:
* [x] Fix for Parameter

Benchmark
(Measurable diff for small tensors)
```
[-------------- Save and Load --------------]
                    |  After PR  |  Before PR
1 threads: ----------------------------------
      ()            |    111.7   |     106.9
      (4, 4)        |    114.4   |     109.2
      (128, 128)    |    135.2   |     128.3
      (1024, 1024)  |   1431.9   |    1431.3

Times are in microseconds (us).
```

<details>

<summary> Benchmark Script </summary>

```python
import torch
from torch.testing._internal.common_utils import BytesIOContext
from torch.utils import benchmark
import pickle

shapes = ((), (4, 4), (128, 128), (1024, 1024))

sizes = [1, 64, 1024, 10000]
results = []

def save_load_fn(t):
    with BytesIOContext() as f:
        torch.save(t, f)
        f.seek(0)
        torch.load(f)

for shape in shapes:
    t = torch.randn(shape)
    label = 'Save and Load'
    sub_label = f'{shape}'
    results.append(benchmark.Timer(
        stmt='save_load_fn(t)',
        globals={'t': t, 'save_load_fn':save_load_fn},
        label=label,
        sub_label=sub_label,
        description='Before PR',
    ).blocked_autorange(min_run_time=2))

compare = benchmark.Compare(results)
compare.print()

with open('before_pr.pkl', 'wb') as f:
    pickle.dump(results, f)

# with open('after_pr.pkl', 'rb') as f:
#     after_pr = pickle.load(f)

# with open('before_pr.pkl', 'rb') as f:
#     before_pr = pickle.load(f)

# compare = benchmark.Compare(after_pr + before_pr)
# compare.print()
```

</details>

NOTE : **BC-Breaking** : After this PR, all tensors (also regular tensors) will be serialised using `_rebuild_from_type_v2`.

Pull Request resolved: pytorch#81616
Approved by: https://github.com/albanD, https://github.com/kurtamohler
@drisspg drisspg mentioned this issue Mar 13, 2023
Closed
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[fix] allow saving python attr on Tensor and Parameter via torch.save kshitij12345/pytorch
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