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

Function static_rnn

tensorflow/python/ops/rnn.py:1111–1277  ·  view source on GitHub ↗

Creates a recurrent neural network specified by RNNCell `cell`. The simplest form of RNN network generated is: ```python state = cell.zero_state(...) outputs = [] for input_ in inputs: output, state = cell(input_, state) outputs.append(output) return (outputs, state

(cell,
               inputs,
               initial_state=None,
               dtype=None,
               sequence_length=None,
               scope=None)

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Callers 2

static_state_saving_rnnFunction · 0.85
static_bidirectional_rnnFunction · 0.85

Calls 15

_like_rnncellFunction · 0.85
tupleFunction · 0.85
_create_zero_outputFunction · 0.85
_rnn_stepFunction · 0.85
variable_scopeMethod · 0.80
in_graph_modeMethod · 0.80
set_caching_deviceMethod · 0.80
with_rank_at_leastMethod · 0.80
flattenMethod · 0.80
reuse_variablesMethod · 0.80
get_shapeMethod · 0.45
merge_withMethod · 0.45

Tested by

no test coverage detected