theano
https://github.com/theano/theano
Python
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
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- Issues
- error("pygpu was configured but could not be imported", exc_info=True)
- TypeError: ('An update must have the same type as the original shared variable (shared_var=<TensorType(float32, matrix)>, shared_var.type=TensorType(float32, matrix), update_val=Elemwise{sub,no_inplace}.0, update_val.type=TensorType(float64, matrix)).', 'If the difference is related to the broadcast pattern, you can call the tensor.unbroadcast(var, axis_to_unbroadcast[, ...]) function to remove broadcastable dimensions.'
- Scan memory leak(?)
- GpuDot22 slow Tesla P100 -- help profiling?
- Wrong gradient for nested switch
- Supports the NumPy pad function
- Add Instance softmax that match cudnn instance mode
- Fix PushOutputScan when using trucate_gradient.
- Is there any way to do simple shape inference in theano?
- GPUDNNReduction is slower than GpuCAReduceCuda
- Docs
- Python not yet supported