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kyleabeauchamptwiecki
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More float32 fixes (builds on previous PR) (#2270)
* Fix float32 for test_diagnostics and test_distributions * Remove extra njobs crud * More fixes * Fix lint * More fixes
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+21
-7
lines changed

7 files changed

+21
-7
lines changed

pymc3/tests/test_plots.py

Lines changed: 4 additions & 2 deletions
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@@ -1,5 +1,5 @@
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import matplotlib
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matplotlib.use('Agg', warn=False)
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matplotlib.use('Agg', warn=False) # noqa
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import numpy as np
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import pymc3 as pm
@@ -13,6 +13,8 @@
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from ..tuning.scaling import find_hessian
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from .test_examples import build_disaster_model
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from pymc3.examples import arbitrary_stochastic as asmod
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import theano
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import pytest
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def test_plots():
@@ -52,7 +54,7 @@ def test_plots_multidimensional():
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traceplot(trace)
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plot_posterior(trace)
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@pytest.mark.xfail(condition=(theano.config.floatX == "float32"), reason="Fails on GPU due to njobs=2")
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def test_multichain_plots():
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model = build_disaster_model()
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with model:

pymc3/tests/test_posteriors.py

Lines changed: 2 additions & 1 deletion
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@@ -1,7 +1,8 @@
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import pytest
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from . import sampler_fixtures as sf
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import theano
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4-
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@pytest.mark.xfail(condition=(theano.config.floatX == "float32"), reason="Fails on float32")
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class TestNUTSUniform(sf.NutsFixture, sf.UniformFixture):
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n_samples = 10000
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tune = 1000

pymc3/tests/test_sampling.py

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@@ -10,6 +10,7 @@
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import pymc3 as pm
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import theano.tensor as tt
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from theano import shared
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import theano
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from .models import simple_init
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from .helpers import SeededTest
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@@ -22,6 +23,7 @@
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pass
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@pytest.mark.xfail(condition=(theano.config.floatX == "float32"), reason="Fails on float32")
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class TestSample(SeededTest):
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def setup_method(self):
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super(TestSample, self).setup_method()
@@ -141,6 +143,7 @@ def test_soft_update_transformed(self):
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assert assert_almost_equal(start['a_log__'], np.log(start['a']))
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@pytest.mark.xfail(condition=(theano.config.floatX == "float32"), reason="Fails on float32")
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class TestNamedSampling(SeededTest):
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def test_shared_named(self):
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G_var = shared(value=np.atleast_2d(1.), broadcastable=(True, False),

pymc3/tests/test_smc.py

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@@ -5,10 +5,12 @@
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from tempfile import mkdtemp
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import shutil
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import theano.tensor as tt
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import theano
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from .helpers import SeededTest
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@pytest.mark.xfail(condition=(theano.config.floatX == "float32"), reason="Fails on float32")
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class TestSMC(SeededTest):
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def setup_method(self):

pymc3/tests/test_step.py

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@@ -138,6 +138,7 @@ def setup_class(self):
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def teardown_class(self):
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shutil.rmtree(self.temp_dir)
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@pytest.mark.xfail(condition=(theano.config.floatX == "float32"), reason="Fails on float32")
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def test_sample_exact(self):
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for step_method in self.master_samples:
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self.check_trace(step_method)
@@ -329,6 +330,7 @@ def test_binomial(self):
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assert isinstance(steps, Metropolis)
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@pytest.mark.xfail(condition=(theano.config.floatX == "float32"), reason="Fails on float32")
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class TestNutsCheckTrace(object):
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def test_multiple_samplers(self):
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with Model():

pymc3/tests/test_text_backend.py

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@@ -1,5 +1,7 @@
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from pymc3.tests import backend_fixtures as bf
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from pymc3.backends import ndarray, text
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import pytest
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import theano
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class TestText0dSampling(bf.SamplingTestCase):
@@ -20,6 +22,7 @@ class TestText2dSampling(bf.SamplingTestCase):
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shape = (2, 3)
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@pytest.mark.xfail(condition=(theano.config.floatX == "float32"), reason="Fails on float32")
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class TestText0dSelection(bf.SelectionTestCase):
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backend = text.Text
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name = 'text-db'
@@ -45,6 +48,7 @@ class TestTextDumpLoad(bf.DumpLoadTestCase):
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shape = (2, 3)
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@pytest.mark.xfail(condition=(theano.config.floatX == "float32"), reason="Fails on float32")
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class TestTextDumpFunction(bf.BackendEqualityTestCase):
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backend0 = backend1 = ndarray.NDArray
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name0 = None

pymc3/tests/test_theanof.py

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Original file line numberDiff line numberDiff line change
@@ -57,11 +57,11 @@ def gen():
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for i in range(2):
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yield floatX(np.ones((10, 10)) * i)
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60-
gop = generator(gen(), np.ones((10, 10)) * 10)
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gop = generator(gen(), floatX(np.ones((10, 10)) * 10))
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f = theano.function([], gop)
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np.testing.assert_equal(np.ones((10, 10)) * 0, f())
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np.testing.assert_equal(np.ones((10, 10)) * 1, f())
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np.testing.assert_equal(np.ones((10, 10)) * 10, f())
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np.testing.assert_equal(floatX(np.ones((10, 10)) * 0), f())
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np.testing.assert_equal(floatX(np.ones((10, 10)) * 1), f())
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np.testing.assert_equal(floatX(np.ones((10, 10)) * 10), f())
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with pytest.raises(ValueError):
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gop.set_default(1)
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