flowchain

Name	flowchain JSON
Version	0.0.8 JSON
	download
home_page	https://github.com/OrigamiDream/flowchain
Summary	Flowchain - Method Chaining for TensorFlow
upload_time	2023-05-27 12:18:31
maintainer
docs_url	None
author	OrigamiDream
requires_python	>=3.7.0
license	MIT
keywords	machine learning deep learning tensorflow method chaining extension
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Flowchain - Method Chaining for TensorFlow

Extensive and simple tensor method chaining for TensorFlow

This package requires Python >= 3.7 and uses some Python magics for extensive injection. Therefore, there could be some unexpected behaviour among method chaining. If you have experienced such behaviours, please feel free to open new issue in this repo!

Currently, I am still finding a way to support code completion for IDEs like PyCharm, Visual Studio Code, etc.

Install via:
```
pip install flowchain
```

Add only 2 lines of code at the top of your code!
```python
from flowchain import enable_tensor_chaining

enable_tensor_chaining()  # this does everything for you.
```

This package makes following approach possible:
```python
# before
x = tf.abs(lhs - rhs)
x = tf.reduce_sum(x, 1)
x = tf.argmin(x, output_type=tf.int32)

# after
x = (lhs - rhs).abs().reduce_sum(1).argmin(output_type=tf.int32)
```


            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/OrigamiDream/flowchain",
    "name": "flowchain",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.7.0",
    "maintainer_email": "",
    "keywords": "machine learning,deep learning,tensorflow,method chaining,extension",
    "author": "OrigamiDream",
    "author_email": "hello@origamidream.me",
    "download_url": "https://files.pythonhosted.org/packages/f2/9d/611da8bf5d3303b8b9f5354d106245a6e10fffa4176a3026a13cfc0eebb6/flowchain-0.0.8.tar.gz",
    "platform": null,
    "description": "# Flowchain - Method Chaining for TensorFlow\n\nExtensive and simple tensor method chaining for TensorFlow\n\nThis package requires Python >= 3.7 and uses some Python magics for extensive injection. Therefore, there could be some unexpected behaviour among method chaining. If you have experienced such behaviours, please feel free to open new issue in this repo!\n\nCurrently, I am still finding a way to support code completion for IDEs like PyCharm, Visual Studio Code, etc.\n\nInstall via:\n```\npip install flowchain\n```\n\nAdd only 2 lines of code at the top of your code!\n```python\nfrom flowchain import enable_tensor_chaining\n\nenable_tensor_chaining()  # this does everything for you.\n```\n\nThis package makes following approach possible:\n```python\n# before\nx = tf.abs(lhs - rhs)\nx = tf.reduce_sum(x, 1)\nx = tf.argmin(x, output_type=tf.int32)\n\n# after\nx = (lhs - rhs).abs().reduce_sum(1).argmin(output_type=tf.int32)\n```\n\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Flowchain - Method Chaining for TensorFlow",
    "version": "0.0.8",
    "project_urls": {
        "Homepage": "https://github.com/OrigamiDream/flowchain"
    },
    "split_keywords": [
        "machine learning",
        "deep learning",
        "tensorflow",
        "method chaining",
        "extension"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "31873411ab758fb3cb1f587d29b98c5b4e6894c554a1e6ec1ce64d465151d672",
                "md5": "2ca1d9900e6be5b1eaff49102d430757",
                "sha256": "6a170a64212a407dcc993f3737b8f881f3be900a630ef0fa47e5152f83bc0768"
            },
            "downloads": -1,
            "filename": "flowchain-0.0.8-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "2ca1d9900e6be5b1eaff49102d430757",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.7.0",
            "size": 4685,
            "upload_time": "2023-05-27T12:18:29",
            "upload_time_iso_8601": "2023-05-27T12:18:29.758486Z",
            "url": "https://files.pythonhosted.org/packages/31/87/3411ab758fb3cb1f587d29b98c5b4e6894c554a1e6ec1ce64d465151d672/flowchain-0.0.8-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "f29d611da8bf5d3303b8b9f5354d106245a6e10fffa4176a3026a13cfc0eebb6",
                "md5": "4c9a61672b5b2fe33fa978306b64ba87",
                "sha256": "9db29d444f6bf91a019fbcde48d5bacd3ee7e4ff8b96e03dd7e85658288815eb"
            },
            "downloads": -1,
            "filename": "flowchain-0.0.8.tar.gz",
            "has_sig": false,
            "md5_digest": "4c9a61672b5b2fe33fa978306b64ba87",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.7.0",
            "size": 3961,
            "upload_time": "2023-05-27T12:18:31",
            "upload_time_iso_8601": "2023-05-27T12:18:31.377987Z",
            "url": "https://files.pythonhosted.org/packages/f2/9d/611da8bf5d3303b8b9f5354d106245a6e10fffa4176a3026a13cfc0eebb6/flowchain-0.0.8.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-05-27 12:18:31",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "OrigamiDream",
    "github_project": "flowchain",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "flowchain"
}