C code generation program for uTensor
Project description
# Installation (Python 2 & 3)
- installation with `setup.py`
```
python setup.py install
```
- installation with `pip`
```
pip install utensor_cgen
```
# Develop Environment
We use `pipenv` to setup the develop environment.
You can go to this [repo](https://github.com/pypa/pipenv) for detail information about `pipenv`.
## Setup with `pipenv`
1. `$ pipenv install -d`
2. `$ pipenv shell`
- this will spawn a subshell and activate the virtual environment for you
- You should be able to use the cli now
**Note**: If you have trouble with installation with `pipenv`, try to remove `Pipfile.lock` first and run `pipenv install -d` again.
# Example
Please refer to [tests/deep_mlp](https://github.com/uTensor/utensor_cgen/tree/develop/tests/deep_mlp) for detailed example
# User Guild
Following steps are a general guild for user how to porting a `TensorFlow` protobuf file into a `uTensor` implementation:
1. Freeze and quantize your graph
- [Freezing](https://www.tensorflow.org/extend/tool_developers/#freezing)
- [Quantization](https://www.tensorflow.org/performance/quantization)
- An alternative is to use the [`quantize_graph.py`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/quantization/quantize_graph.py) script
- it should output one qunatized pb file, say `quantized_graph.pb`
2. install `utensor_cgent`
- run `python3 setupt.py install`
3. run `utensor-cli quantized_graph.pb`, where `quantized_graph.pb` is the output pb file you get from step **1**
- run `utensor-cli -h` for help
# TODOs
1. (done) Freezed graph protobuff parser
2. (done)Tensor snippets for [`uTensor`](https://github.com/neil-tan/uTensor)
3. (done) Add template engine for richer flexibility
- [jinja2](http://jinja.pocoo.org)
4. (done?) core code generator implementation
- We need some refactoring, PRs are welcomed!
5. type alias in C/C++
- ex: use `uint8_t` or `unsigned char`?
- a lot more about this....
6. (done) `MANIFAST.in` for the `setup.py`
7. Relation among snippets/containers
- shared template variables? (headers, shared placeholders...etc)
8. Better configuration schema
- json
- yaml
- or ?
- installation with `setup.py`
```
python setup.py install
```
- installation with `pip`
```
pip install utensor_cgen
```
# Develop Environment
We use `pipenv` to setup the develop environment.
You can go to this [repo](https://github.com/pypa/pipenv) for detail information about `pipenv`.
## Setup with `pipenv`
1. `$ pipenv install -d`
2. `$ pipenv shell`
- this will spawn a subshell and activate the virtual environment for you
- You should be able to use the cli now
**Note**: If you have trouble with installation with `pipenv`, try to remove `Pipfile.lock` first and run `pipenv install -d` again.
# Example
Please refer to [tests/deep_mlp](https://github.com/uTensor/utensor_cgen/tree/develop/tests/deep_mlp) for detailed example
# User Guild
Following steps are a general guild for user how to porting a `TensorFlow` protobuf file into a `uTensor` implementation:
1. Freeze and quantize your graph
- [Freezing](https://www.tensorflow.org/extend/tool_developers/#freezing)
- [Quantization](https://www.tensorflow.org/performance/quantization)
- An alternative is to use the [`quantize_graph.py`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/quantization/quantize_graph.py) script
- it should output one qunatized pb file, say `quantized_graph.pb`
2. install `utensor_cgent`
- run `python3 setupt.py install`
3. run `utensor-cli quantized_graph.pb`, where `quantized_graph.pb` is the output pb file you get from step **1**
- run `utensor-cli -h` for help
# TODOs
1. (done) Freezed graph protobuff parser
2. (done)Tensor snippets for [`uTensor`](https://github.com/neil-tan/uTensor)
3. (done) Add template engine for richer flexibility
- [jinja2](http://jinja.pocoo.org)
4. (done?) core code generator implementation
- We need some refactoring, PRs are welcomed!
5. type alias in C/C++
- ex: use `uint8_t` or `unsigned char`?
- a lot more about this....
6. (done) `MANIFAST.in` for the `setup.py`
7. Relation among snippets/containers
- shared template variables? (headers, shared placeholders...etc)
8. Better configuration schema
- json
- yaml
- or ?
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