From 30faf44a08edcc2075362c4633f6b1d291944cd3 Mon Sep 17 00:00:00 2001 From: Alex Auvolat Date: Tue, 29 Mar 2016 12:27:35 +0200 Subject: This HPC stuff doesn't work very well. --- config/hpc-lstm-2.py | 46 ++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 46 insertions(+) create mode 100644 config/hpc-lstm-2.py (limited to 'config/hpc-lstm-2.py') diff --git a/config/hpc-lstm-2.py b/config/hpc-lstm-2.py new file mode 100644 index 0000000..aaed80e --- /dev/null +++ b/config/hpc-lstm-2.py @@ -0,0 +1,46 @@ +import numpy +from numpy.random import RandomState + +from blocks.algorithms import AdaDelta, Momentum, RMSProp, CompositeRule, BasicMomentum +from blocks.bricks import Tanh, Rectifier + +from model.hpc_lstm import Model + +dataset = 'data/logcompil-2016-03-07.txt' + +io_dim = 256 +repr_dim = 64 +embedding_matrix = (RandomState(42).binomial(1, 10./repr_dim, ((io_dim, repr_dim))) + -RandomState(123).binomial(1, 10./repr_dim, ((io_dim, repr_dim)))) + +# An epoch will be composed of 'num_seqs' sequences of len 'seq_len' +# divided in chunks of lengh 'seq_div_size' +num_seqs = 100 +seq_len = 2000 +seq_div_size = 100 + +hidden_dims = [64, 256, 1024] +cost_factors = [1., 1., 1.] +hidden_q = [0.5, 0.5, 0.5] +activation_function = Tanh() + +out_hidden = [512] +out_hidden_act = [Rectifier] + +step_rule = AdaDelta() +#step_rule = CompositeRule([RMSProp(learning_rate=0.01), +# BasicMomentum(momentum=0.9)]) +#step_rule = Momentum(learning_rate=.1, momentum=0.9) + +# parameter saving freq (number of batches) +monitor_freq = 100 +save_freq = 100 + +# used for sample generation and IRC mode +sample_temperature = 0.7 #0.5 + +# do we want to generate samples at times during training? +sample_len = 1000 +sample_freq = 100 +sample_init = '\nalex\ttu crois?\n' + -- cgit v1.2.3