%global _empty_manifest_terminate_build 0
Name:		python-torch-complex
Version:	0.4.3
Release:	1
Summary:	A fugacious python class for PyTorch-ComplexTensor
License:	Apache Software License
URL:		https://github.com/kamo-naoyuki/torch_complex
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/1d/fe/638980e57d68dd79fa94d7db43598b2c2bceb74a3715774d854476c556d1/torch_complex-0.4.3.tar.gz
BuildArch:	noarch

Requires:	python3-numpy

%description
# pytorch_complex

[![PyPI version](https://badge.fury.io/py/torch-complex.svg)](https://badge.fury.io/py/torch-complex)
[![Python Versions](https://img.shields.io/pypi/pyversions/torch-complex.svg)](https://pypi.org/project/torch-complex/)
[![Downloads](https://pepy.tech/badge/torch-complex)](https://pepy.tech/project/torch-complex)
[![Build Status](https://travis-ci.org/kamo-naoyuki/pytorch_complex.svg?branch=master)](https://travis-ci.org/kamo-naoyuki/pytorch_complex)
[![codecov](https://codecov.io/gh/kamo-naoyuki/pytorch_complex/branch/master/graph/badge.svg)](https://codecov.io/gh/kamo-naoyuki/pytorch_complex)

A temporal python class for PyTorch-ComplexTensor


## What is this?
A Python class to perform as `ComplexTensor` in PyTorch: Nothing except for the following,

```python
class ComplexTensor: 
    def __init__(self, ...):
        self.real = torch.Tensor(...)
        self.imag = torch.Tensor(...)
```

### Why?
PyTorch is great DNN Python library, except that it doesn't support `ComplexTensor` in Python level.

https://github.com/pytorch/pytorch/issues/755

I'm looking forward to the completion, but I need `ComplexTensor` for now.
 I created this cheap module for the temporal replacement of it. Thus, I'll throw away this project as soon as  `ComplexTensor` is completely supported!

## Requirements

```
Python>=3.6
PyTorch>=1.0
```

## Install

```
pip install torch_complex
```

## How to use

### Basic mathematical operation
```python
import numpy as np
from torch_complex.tensor import ComplexTensor

real = np.random.randn(3, 10, 10)
imag = np.random.randn(3, 10, 10)

x = ComplexTensor(real, imag)
x.numpy()

x + x
x * x
x - x
x / x
x ** 1.5
x @ x  # Batch-matmul
x.conj()
x.inverse() # Batch-inverse
```

All are implemented with combinations of computation of `RealTensor` in python level, thus the speed　is not good enough.


### Functional

```python
import torch_complex.functional as F
F.cat([x, x])
F.stack([x, x])
F.matmul(x, x)  # Same as x @ x
F.einsum('bij,bjk,bkl->bil', [x, x, x])
```

### For DNN
Almost all methods that `torch.Tensor` has are implemented. 

```python
x.cuda()
x.cpu()
(x + x).sum().backward()
```




%package -n python3-torch-complex
Summary:	A fugacious python class for PyTorch-ComplexTensor
Provides:	python-torch-complex
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-torch-complex
# pytorch_complex

[![PyPI version](https://badge.fury.io/py/torch-complex.svg)](https://badge.fury.io/py/torch-complex)
[![Python Versions](https://img.shields.io/pypi/pyversions/torch-complex.svg)](https://pypi.org/project/torch-complex/)
[![Downloads](https://pepy.tech/badge/torch-complex)](https://pepy.tech/project/torch-complex)
[![Build Status](https://travis-ci.org/kamo-naoyuki/pytorch_complex.svg?branch=master)](https://travis-ci.org/kamo-naoyuki/pytorch_complex)
[![codecov](https://codecov.io/gh/kamo-naoyuki/pytorch_complex/branch/master/graph/badge.svg)](https://codecov.io/gh/kamo-naoyuki/pytorch_complex)

A temporal python class for PyTorch-ComplexTensor


## What is this?
A Python class to perform as `ComplexTensor` in PyTorch: Nothing except for the following,

```python
class ComplexTensor: 
    def __init__(self, ...):
        self.real = torch.Tensor(...)
        self.imag = torch.Tensor(...)
```

### Why?
PyTorch is great DNN Python library, except that it doesn't support `ComplexTensor` in Python level.

https://github.com/pytorch/pytorch/issues/755

I'm looking forward to the completion, but I need `ComplexTensor` for now.
 I created this cheap module for the temporal replacement of it. Thus, I'll throw away this project as soon as  `ComplexTensor` is completely supported!

## Requirements

```
Python>=3.6
PyTorch>=1.0
```

## Install

```
pip install torch_complex
```

## How to use

### Basic mathematical operation
```python
import numpy as np
from torch_complex.tensor import ComplexTensor

real = np.random.randn(3, 10, 10)
imag = np.random.randn(3, 10, 10)

x = ComplexTensor(real, imag)
x.numpy()

x + x
x * x
x - x
x / x
x ** 1.5
x @ x  # Batch-matmul
x.conj()
x.inverse() # Batch-inverse
```

All are implemented with combinations of computation of `RealTensor` in python level, thus the speed　is not good enough.


### Functional

```python
import torch_complex.functional as F
F.cat([x, x])
F.stack([x, x])
F.matmul(x, x)  # Same as x @ x
F.einsum('bij,bjk,bkl->bil', [x, x, x])
```

### For DNN
Almost all methods that `torch.Tensor` has are implemented. 

```python
x.cuda()
x.cpu()
(x + x).sum().backward()
```




%package help
Summary:	Development documents and examples for torch-complex
Provides:	python3-torch-complex-doc
%description help
# pytorch_complex

[![PyPI version](https://badge.fury.io/py/torch-complex.svg)](https://badge.fury.io/py/torch-complex)
[![Python Versions](https://img.shields.io/pypi/pyversions/torch-complex.svg)](https://pypi.org/project/torch-complex/)
[![Downloads](https://pepy.tech/badge/torch-complex)](https://pepy.tech/project/torch-complex)
[![Build Status](https://travis-ci.org/kamo-naoyuki/pytorch_complex.svg?branch=master)](https://travis-ci.org/kamo-naoyuki/pytorch_complex)
[![codecov](https://codecov.io/gh/kamo-naoyuki/pytorch_complex/branch/master/graph/badge.svg)](https://codecov.io/gh/kamo-naoyuki/pytorch_complex)

A temporal python class for PyTorch-ComplexTensor


## What is this?
A Python class to perform as `ComplexTensor` in PyTorch: Nothing except for the following,

```python
class ComplexTensor: 
    def __init__(self, ...):
        self.real = torch.Tensor(...)
        self.imag = torch.Tensor(...)
```

### Why?
PyTorch is great DNN Python library, except that it doesn't support `ComplexTensor` in Python level.

https://github.com/pytorch/pytorch/issues/755

I'm looking forward to the completion, but I need `ComplexTensor` for now.
 I created this cheap module for the temporal replacement of it. Thus, I'll throw away this project as soon as  `ComplexTensor` is completely supported!

## Requirements

```
Python>=3.6
PyTorch>=1.0
```

## Install

```
pip install torch_complex
```

## How to use

### Basic mathematical operation
```python
import numpy as np
from torch_complex.tensor import ComplexTensor

real = np.random.randn(3, 10, 10)
imag = np.random.randn(3, 10, 10)

x = ComplexTensor(real, imag)
x.numpy()

x + x
x * x
x - x
x / x
x ** 1.5
x @ x  # Batch-matmul
x.conj()
x.inverse() # Batch-inverse
```

All are implemented with combinations of computation of `RealTensor` in python level, thus the speed　is not good enough.


### Functional

```python
import torch_complex.functional as F
F.cat([x, x])
F.stack([x, x])
F.matmul(x, x)  # Same as x @ x
F.einsum('bij,bjk,bkl->bil', [x, x, x])
```

### For DNN
Almost all methods that `torch.Tensor` has are implemented. 

```python
x.cuda()
x.cpu()
(x + x).sum().backward()
```




%prep
%autosetup -n torch-complex-0.4.3

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-torch-complex -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.3-1
- Package Spec generated