Error in computing FFT operation - Printable Version +- Python Forum (https://python-forum.io) +-- Forum: Python Coding (https://python-forum.io/forum-7.html) +--- Forum: Data Science (https://python-forum.io/forum-44.html) +--- Thread: Error in computing FFT operation (/thread-1640.html) |
Error in computing FFT operation - raady07 - Jan-18-2017 Python 3.5 Tensorflow GPU Hello, I am trying to perform a fft operation on a variable x = tf.Variable([1,2,3,4,5],df.type =tf.float32) y = tf.fft(x) sess=tf.Session() sess.run(model) print(sess.run(d))and it gives an error TypeError: Input 'input' of 'FFT' Op has type float32 that does not match expected type of complex64So i tried converting the variable to complex number and it shows another error. a = tf.Variable ([1,2,3,4,5],dtype=tf.float32) b= tf.Variable([0,0,0,0,0],dtype =tf.float32) c = tf.complex(a,b) d = tf.fft(c model = init_all_variables() sess = tf.Session() sess.run(model) print(sess.run(c)) InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'FFT' with these attrs. Registered kernels: <no registered kernels> [[Node: FFT = FFT[](Complex)]]Please help me to resolve the issue RE: Error in computing FFT operation - j.crater - Jan-18-2017 Hello, Your question/issue is specific to Tensorflow. So unless someone here is familiar with TensorFlow, then it's unlikely you will find an answer on this forum. Asking on TF Google Group was a better idea, so I hope guys there can help you out. That said, I don't know how TF handles FFT input data, but FFT routines usually expect a "vector/array/list..." whose length is a power of two. Have you tried that out? Good luck! JC |