def neural_conv(fltr, inputs):
    s = len(inputs)
    x = np.convolve(fltr, inputs)
    extra = int(floor(len(fltr)/2))
    return x[extra: len(x) - extra]
Reinterpret byte array as int32 in the GPU.
dataset/ETHPy150Open robclewley/compneuro/WCstability.py/neural_conv--crossover with--dataset/ETHPy150Open numba/numba/numba/cuda/tests/cudapy/test_array_methods.py/TestCudaArrayMethods.test_reinterpret_array_type