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hub / github.com/benoitsteiner/tensorflow-opencl / _rnn_step

Function _rnn_step

tensorflow/python/ops/rnn.py:138–266  ·  view source on GitHub ↗

Calculate one step of a dynamic RNN minibatch. Returns an (output, state) pair conditioned on the sequence_lengths. When skip_conditionals=False, the pseudocode is something like: if t >= max_sequence_length: return (zero_output, state) if t < min_sequence_length: return call_cell(

(
    time, sequence_length, min_sequence_length, max_sequence_length,
    zero_output, state, call_cell, state_size, skip_conditionals=False)

Source from the content-addressed store, hash-verified

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Callers 2

_time_stepFunction · 0.85
static_rnnFunction · 0.85

Calls 5

_copy_some_throughFunction · 0.85
flattenMethod · 0.80
condMethod · 0.45
set_shapeMethod · 0.45
get_shapeMethod · 0.45

Tested by

no test coverage detected