Adam Sypniewski ajsyp
ajsyp
/ massif.549038
Created
July 29, 2020 19:35
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| 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
/ gist:6ea036f8dbd5dba8052f92d10bf210ed
Created
March 7, 2019 15:10
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| ### 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: |
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| $ 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 |
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| $ 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
/ parallel_bug.py
Created
March 9, 2017 14:56
Recreates the bug with multi-GPU TensorFlow in Kur
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| 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( |