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
- Out of memory when compiling posterior
- Switching from Theano 1.0.0 to TensorFlow 2.2 (both using Keras) causes exponentially growing loss and stagnant accuracy
- Using Theano backend. WARNING:theano.configdefaults:g++ not available, if using conda: `conda install m2w64-toolchain` C:\Users\rosier\Anaconda\lib\site-packages\theano\configdefaults.py:560: UserWarning: DeprecationWarning: there is no c++ compiler.This is deprecated and with Theano 0.11 a c++ compiler will be mandatory warnings.warn("DeprecationWarning: there is no c++ compiler." WARNING:theano.configdefaults:g++ not detected ! Theano will be unable to execute optimized C-implementations (for both CPU and GPU) and will default to Python implementations. Performance will be severely degraded. To remove this warning, set Theano flags cxx to an empty string. WARNING:theano.tensor.blas:Using NumPy C-API based implementation for BLAS functions. ERROR:root:Internal Python error in the inspect module. Below is the traceback from this internal error.
- Theano lack a check for unreasonable parameters like 'dilation_rate=0' in `Conv2D`or `DepthwiseConv2D`
- error: /usr/local/cuda-10.1/lib64/libcudnn.so: ELF section name out of range\ncollect2: error: ld returned 1 exit status\n'
- theano.gpuarray.type.ContextNotDefined
- ("Compilation failed (return status=1)
- Theano for Pylearn2
- rng_mrg gpu implementation does not support more than (2^31 -1) samples
- Error when running theano on a cluster
- Docs
- Python not yet supported