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package com.tactico.tm.nn.graphs;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.IOException;
import org.deeplearning4j.api.storage.StatsStorage;
import org.deeplearning4j.nn.api.Layer;
import org.deeplearning4j.nn.api.OptimizationAlgorithm;
import org.deeplearning4j.nn.conf.BackpropType;
@Joshuaalbert
Joshuaalbert / UIBug.java
Last active May 13, 2017 11:04
with this conf the ui doesn't update
package com.tactico.tm.nn.graphs.confs;
import org.deeplearning4j.api.storage.StatsStorage;
import org.deeplearning4j.nn.api.OptimizationAlgorithm;
import org.deeplearning4j.nn.conf.BackpropType;
import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
import org.deeplearning4j.nn.conf.Updater;
import org.deeplearning4j.nn.conf.inputs.InputType;
import org.deeplearning4j.nn.conf.layers.GravesLSTM;
[INFO] Scanning for projects...
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Build Order:
[INFO]
[INFO] nd4j
[INFO] nd4j-shade
[INFO] jackson
[INFO] nd4j-common
[INFO] nd4j-context
[INFO] nd4j-buffer
eval cmake
Running windows
PACKAGING = none
BUILD = release
CHIP = cpu
ARCH = x86-64
CHIP_VERSION =
GPU_COMPUTE_CAPABILITY = all
EXPERIMENTAL = no
LIBRARY TYPE = dynamic
This file has been truncated, but you can view the full file.
eval cmake
Running windows
PACKAGING = none
BUILD = release
CHIP = cuda
ARCH = x86-64
CHIP_VERSION =
GPU_COMPUTE_CAPABILITY = 50
EXPERIMENTAL = no
LIBRARY TYPE = dynamic
@Joshuaalbert
Joshuaalbert / validationError.java
Last active June 10, 2017 00:24
gives a null pointer at some point
package com.tactico.tm.bugs;
import org.deeplearning4j.nn.api.OptimizationAlgorithm;
import org.deeplearning4j.nn.conf.BackpropType;
import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
import org.deeplearning4j.nn.conf.Updater;
import org.deeplearning4j.nn.conf.inputs.InputType;
import org.deeplearning4j.nn.conf.layers.RnnOutputLayer;
import org.deeplearning4j.nn.weights.WeightInit;
@Joshuaalbert
Joshuaalbert / cholesky-issues.py
Last active November 16, 2017 23:04
TF Cholesky fail on RBF pos-def matrix
import gpflow as gp
import numpy as np
import pylab as plt
import tensorflow as tf
X = np.array([[ 1.16527441e+09],
[ 1.16527442e+09],
[ 1.16527443e+09],
[ 1.16527443e+09],
[ 1.16527444e+09],
import numpy as np
import tensorflow as tf
from gpflow.likelihoods import Likelihood
from gpflow import densities
from gpflow.decors import params_as_tensors
from gpflow.params import Parameter
from gpflow.transforms import Transform, positive, Chain
from gpflow import settings
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-65-a4128a1c8e7f> in <module>()
14 gp = pm.gp.Marginal(cov_func=cov_func)
15 f = gp.marginal_likelihood('f',X,y,0.1)
---> 16 f_star = gp.conditional('fstar',Xnew)
17
~/anaconda3/envs/kerastf/lib/python3.6/site-packages/pymc3-3.3rc2-py3.6.egg/pymc3/gp/gp.py in conditional(self, name, Xnew, pred_noise, given, **kwargs)
501
@Joshuaalbert
Joshuaalbert / speed_test_jax.py
Last active October 16, 2020 15:20
Tests speed of N-D Least squares + L1 regularisation with various backends
def speed_test_jax():
import numpy as np
from jax import jit,value_and_grad, random
from jax.scipy.optimize import minimize as minimize_jax
from scipy.optimize import minimize as minimize_np
import pylab as plt
from timeit import default_timer
S = 3