Metadata-Version: 2.1
Name: deepop
Version: 0.1.dev0
Summary: A mini Tensor framework for tensor operations on GPU.
Home-page: https://github.com/kartik4949/deepops
Author: Kartik Sharma
Author-email: kartik4949@gmail.com
License: UNKNOWN
Description: # DeepOps
        A Mini Deep learning library, accelerated on GPUs with PyCuda.
        
        No no no.. I havent wrote this library on tensorflow or torch, it is a standalone machine. :P
        
        Implemented backpropogations using reverse traversal, Support gradients and GPU operations, You can make a mini neural network (FNN) and use the in-house optimizer to train it on a dataset (e.g MNIST).
        
        Tip: always give your tensor a funny name! :)
        
        Note: Only for Educational Usage.
        
        ![alt text](https://cdn.pixabay.com/photo/2017/11/14/18/31/mushroom-2949539_960_720.jpg)
        
        # Installation.
        ```
        pip install deepops
        ```
        
        # Tensor.
        ```
        a = Tensor([1,2,3,4,5])
        # deepop tensor 
        ```
        # Attach to a cuda device.
        ```
        a = Tensor([1,2,3,4,5])
        a.device("gpu:0") # attach to gpu device.
        ```
        # Check the Device.
        ```
        a.where
        # 'cpu'
        ```
        # Addition.
        ```
        a = Tensor([1.0,2.0])
        print(a + a)
        # GPU Operation
        ```
        # Multiplication.
        ```
        a = Tensor([1.0, 2.0])
        print(a.mul(a))
        print(a * a)
        ```
        # Calculate Gradients.
        ```
        Tensor = dp.Tensor
        a1 = Tensor([1.0, 3.0, 1.0])
        b1 = Tensor([7.0, 3.0, 5.0])
        
        a2 = Tensor([4.0, 3.0, 1.0])
        a3 = Tensor([3.0, 3.0, 1.0])
        a4 = Tensor([7.0, 1.0, 6.0])
        b2 = Tensor([1.0, 21.0, 12.0])
        
        c = a1 * b1 + a3
        d = a2 * b2 + a4
        out = c * d
        
        # backward
        out.backward()
        
        print(out.grad)
        print(a1.grad)
        
        ```
        # Run Tests.
        ```
        python -m pytest -s
        
        ```
        
        # Contribution is highly appreciated.
        Please contribute to my work.
        
        # TODOs
        * write more tests...
        * need a optimizer.
        * support more operations.
        
        # License
        MIT
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
