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-rw-r--r--tensorflow/contrib/specs/python/specs_ops.py20
1 files changed, 0 insertions, 20 deletions
diff --git a/tensorflow/contrib/specs/python/specs_ops.py b/tensorflow/contrib/specs/python/specs_ops.py
index a6bd4d16c2..49b989b8d0 100644
--- a/tensorflow/contrib/specs/python/specs_ops.py
+++ b/tensorflow/contrib/specs/python/specs_ops.py
@@ -23,8 +23,6 @@ from __future__ import division
from __future__ import print_function
from tensorflow.contrib.layers.python.layers import layers
-from tensorflow.contrib.ndlstm.python import lstm1d
-from tensorflow.contrib.ndlstm.python import lstm2d
from tensorflow.contrib.specs.python import specs_lib
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import logging_ops
@@ -122,17 +120,6 @@ Sig = Fun(math_ops.sigmoid)
Tanh = Fun(math_ops.tanh)
Smax = Fun(nn_ops.softmax)
-# 2D LSTM
-
-Lstm2 = Fun(lstm2d.separable_lstm)
-Lstm2to1 = Fun(lstm2d.reduce_to_sequence) # 2D to 1D
-Lstm2to0 = Fun(lstm2d.reduce_to_final) # 2D to depth-only
-
-
-def Clstm2(n, *args, **kw):
- """2D LSTM with 3x3 pre-convolution."""
- return Cl(n, [3, 3]) | Lstm2(*args, **kw)
-
def Dws(n):
"""Depth-wise convolution + sigmoid (used after LSTM)."""
@@ -143,13 +130,6 @@ def Dwm(n):
"""Depth-wise convolution + softmax (used after LSTM)."""
return Cm(n, [1, 1])
-
-# 1D LSTM
-
-Lstm1 = Fun(lstm1d.ndlstm_base)
-Lstm1to0 = Fun(lstm1d.sequence_to_final) # 1D to depth-only
-Ssm = Fun(lstm1d.sequence_softmax)
-
# Sharing of Variables