ajsyp

desc: (none)
cmd: ./target/release/awc-mem-leak
time_unit: i
#-----------
snapshot=0
#-----------
time=0
mem_heap_B=0
mem_heap_extra_B=0
mem_stacks_B=0

ajsyp

### Keybase proof

I hereby claim:

  * I am ajsyp on github.
  * I am ajsyp (https://keybase.io/ajsyp) on keybase.
  * I have a public key ASB-CygiByvEokE-xOP4FwUVwEO1_EUnzVedfqRDfCk7pAo

To claim this, I am signing this object:

ajsyp

$ python parallel_bug.py 
Using TensorFlow backend.
get_output_shape_for((None, 32))
  self.name: dense_1
  self.input_dim: 32
  self.output_dim: 100
  id(self): 140287380209560
get_output_shape_for((None, 32))
  self.name: dense_1
  self.input_dim: 32

ajsyp

$ python parallel_bug.py 
Using TensorFlow backend.
____________________________________________________________________________________________________
Layer (type)                     Output Shape          Param #     Connected to                     
====================================================================================================
input_1 (InputLayer)             (None, 32, 32)        0                                            
____________________________________________________________________________________________________
timedistributed_1 (TimeDistribut (None, 32, 100)       3300        input_1[0][0]                    
____________________________________________________________________________________________________
lstm_1 (LSTM)                    (None, 32, 50)        30200       timedistributed_1[0][0]          

ajsyp

import keras.models as M
import keras.layers as L
from kur.utils.parallelism import make_parallel

# Pretend to have some 32 x 32 images.
input = x = L.Input(shape=(32, 32))

# Shape: (samples, 32, 32)

x = L.TimeDistributed(