Basically I have a 2d array and I want to do this nice numpy-like thing
noise_spec[:rows,:cols]
in Tensorflow. Here rows and cols are just two integers.
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问题:
回答1:
Indeed, TensorFlow now has better support for slicing, so you can use the exact same syntax as NumPy:
result = noise_spec[:rows, :cols]
回答2:
found out, it's
tf.slice(noise_spec, [0,0],[rows, cols])
