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Unverified 提交 9f7a1b69 authored 作者: Brandon T. Willard's avatar Brandon T. Willard 提交者： GitHub
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Merge pull request #110 from brandonwillard/enforce-sane-test-values

Refactor test value framework so that test value validation is performed up-front.
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正在显示 包含 97 行增加 和 377 行删除
doc/library/misc/pkl_utils.txt
浏览文件 @ 9f7a1b69
......@@ -15,10 +15,6 @@
.. autoclass:: theano.misc.pkl_utils.StripPickler
.. autoclass:: theano.misc.pkl_utils.CompatUnpickler
.. seealso::
:ref:`tutorial_loadsave`
tests/gof/test_compute_test_value.py
浏览文件 @ 9f7a1b69
......@@ -167,14 +167,16 @@ class TestComputeTestValue:
@theano.change_flags(compute_test_value="raise")
def test_incorrect_type(self):
x = tt.fmatrix("x")
# Incorrect dtype (float64) for test_value
x.tag.test_value = np.random.rand(3, 4)
y = tt.dmatrix("y")
y.tag.test_value = np.random.rand(4, 5)
x = tt.vector("x")
with pytest.raises(TypeError):
tt.dot(x, y)
# Incorrect shape for test value
x.tag.test_value = np.empty((2, 2))
x = tt.fmatrix("x")
with pytest.raises(TypeError):
# Incorrect dtype (float64) for test value
x.tag.test_value = np.random.rand(3, 4)
@theano.change_flags(compute_test_value="raise")
def test_overided_function(self):
......
tests/gof/test_fg.py
浏览文件 @ 9f7a1b69
import os
import pickle
import pytest
import theano
from theano.compat import PY3
from theano.gof.fg import FunctionGraph
from theano import tensor as tt
from theano.gof.fg import FunctionGraph
class TestFunctionGraph:
......@@ -16,24 +11,3 @@ class TestFunctionGraph:
s = pickle.dumps(func)
pickle.loads(s)
@pytest.mark.skipif(
not theano.config.cxx, reason="G++ not available, so we need to skip this test."
)
@pytest.mark.slow
def test_node_outputs_not_used(self):
# In the past, we where removing some not used variable from
# fgraph.variables event if the apply had other output used in
# the graph. This caused a crash.
# This test run the pickle that reproduce this case.
with open(
os.path.join(os.path.dirname(__file__), "test_fg_old_crash.pkl"), "rb"
) as f:
from theano.misc.pkl_utils import CompatUnpickler
if PY3:
u = CompatUnpickler(f, encoding="latin1")
else:
u = CompatUnpickler(f)
d = u.load()
f = theano.function(**d)
tests/gof/test_op.py
浏览文件 @ 9f7a1b69
import numpy as np
import pytest
import theano
import theano.gof.op as op
import theano.tensor as tt
from six import string_types
from theano.gof.type import Type, Generic
from theano import scalar, shared
from theano.configparser import change_flags
from theano.gof.graph import Apply, Variable
import theano.tensor as T
from theano import scalar
from theano import shared
from theano.gof.type import Generic, Type
config = theano.config
Op = op.Op
......@@ -238,15 +238,15 @@ class TestMakeThunk:
__props__ = ()
itypes = [T.dmatrix]
otypes = [T.dmatrix]
itypes = [tt.dmatrix]
otypes = [tt.dmatrix]
def perform(self, node, inputs, outputs):
inp = inputs[0]
output = outputs[0]
output[0] = inp * 2
x_input = T.dmatrix("x_input")
x_input = tt.dmatrix("x_input")
f = theano.function([x_input], DoubleOp()(x_input))
inp = np.random.rand(5, 4)
out = f(inp)
......@@ -255,17 +255,17 @@ class TestMakeThunk:
def test_test_value_python_objects():
for x in ([0, 1, 2], 0, 0.5, 1):
assert (op.get_test_value(x) == x).all()
assert np.all(op.get_test_value(x) == x)
def test_test_value_ndarray():
x = np.zeros((5, 5))
v = op.get_test_value(x)
assert (v == x).all()
assert np.all(v == x)
def test_test_value_constant():
x = T.as_tensor_variable(np.zeros((5, 5)))
x = tt.as_tensor_variable(np.zeros((5, 5)))
v = op.get_test_value(x)
assert np.all(v == np.zeros((5, 5)))
......@@ -278,62 +278,37 @@ def test_test_value_shared():
assert np.all(v == np.zeros((5, 5)))
@change_flags(compute_test_value="raise")
def test_test_value_op():
try:
prev_value = config.compute_test_value
config.compute_test_value = "raise"
x = T.log(np.ones((5, 5)))
v = op.get_test_value(x)
assert np.allclose(v, np.zeros((5, 5)))
finally:
config.compute_test_value = prev_value
def test_get_debug_values_no_debugger():
"get_debug_values should return [] when debugger is off"
x = tt.log(np.ones((5, 5)))
v = op.get_test_value(x)
prev_value = config.compute_test_value
try:
config.compute_test_value = "off"
assert np.allclose(v, np.zeros((5, 5)))
x = T.vector()
for x_val in op.get_debug_values(x):
assert False
@change_flags(compute_test_value="off")
def test_get_debug_values_no_debugger():
"""Tests that `get_debug_values` returns `[]` when debugger is off."""
finally:
config.compute_test_value = prev_value
x = tt.vector()
assert op.get_debug_values(x) == []
@change_flags(compute_test_value="ignore")
def test_get_det_debug_values_ignore():
# get_debug_values should return [] when debugger is ignore
# and some values are missing
"""Tests that `get_debug_values` returns `[]` when debugger is set to "ignore" and some values are missing."""
prev_value = config.compute_test_value
try:
config.compute_test_value = "ignore"
x = T.vector()
for x_val in op.get_debug_values(x):
assert False
finally:
config.compute_test_value = prev_value
x = tt.vector()
assert op.get_debug_values(x) == []
def test_get_debug_values_success():
# tests that get_debug_value returns values when available
# (and the debugger is on)
"""Tests that `get_debug_value` returns values when available (and the debugger is on)."""
prev_value = config.compute_test_value
for mode in ["ignore", "warn", "raise"]:
try:
config.compute_test_value = mode
x = T.vector()
with change_flags(compute_test_value=mode):
x = tt.vector()
x.tag.test_value = np.zeros((4,), dtype=config.floatX)
y = np.zeros((5, 5))
......@@ -348,54 +323,11 @@ def test_get_debug_values_success():
assert iters == 1
finally:
config.compute_test_value = prev_value
@change_flags(compute_test_value="raise")
def test_get_debug_values_exc():
# tests that get_debug_value raises an exception when
# debugger is set to raise and a value is missing
prev_value = config.compute_test_value
try:
config.compute_test_value = "raise"
x = T.vector()
try:
for x_val in op.get_debug_values(x):
# this assert catches the case where we
# erroneously get a value returned
assert False
raised = False
except AttributeError:
raised = True
# this assert catches the case where we got []
# returned, and possibly issued a warning,
# rather than raising an exception
assert raised
"""Tests that `get_debug_value` raises an exception when debugger is set to raise and a value is missing."""
finally:
config.compute_test_value = prev_value
def test_debug_error_message():
# tests that debug_error_message raises an
# exception when it should.
prev_value = config.compute_test_value
for mode in ["ignore", "raise"]:
try:
config.compute_test_value = mode
try:
op.debug_error_message("msg")
raised = False
except ValueError:
raised = True
assert raised
finally:
config.compute_test_value = prev_value
with pytest.raises(AttributeError):
x = tt.vector()
assert op.get_debug_values(x) == []
tests/gpuarray/test_multinomial.py
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......@@ -7,9 +7,10 @@ import theano
import tests.unittest_tools as utt
from pickle import Unpickler
from theano import config, function, tensor
from theano.compat import PY3
from theano.misc.pkl_utils import CompatUnpickler
from theano.sandbox import multinomial
from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams
from theano.gpuarray.multinomial import (
......@@ -384,6 +385,6 @@ def test_unpickle_legacy_op():
if not PY3:
with open(os.path.join(testfile_dir, fname), "r") as fp:
u = CompatUnpickler(fp)
u = Unpickler(fp)
m = u.load()
assert isinstance(m, GPUAChoiceFromUniform)
tests/gpuarray/test_pickle.py
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......@@ -13,9 +13,9 @@ import pytest
import numpy as np
from pickle import Unpickler
from theano import config
from theano.compat import PY3
from theano.misc.pkl_utils import CompatUnpickler
from theano.gpuarray.type import ContextNotDefined
......@@ -37,10 +37,7 @@ def test_unpickle_gpuarray_as_numpy_ndarray_flag1():
fname = "GpuArray.pkl"
with open(os.path.join(testfile_dir, fname), "rb") as fp:
if PY3:
u = CompatUnpickler(fp, encoding="latin1")
else:
u = CompatUnpickler(fp)
u = Unpickler(fp, encoding="latin1")
with pytest.raises((ImportError, ContextNotDefined)):
u.load()
finally:
......@@ -56,10 +53,7 @@ def test_unpickle_gpuarray_as_numpy_ndarray_flag2():
fname = "GpuArray.pkl"
with open(os.path.join(testfile_dir, fname), "rb") as fp:
if PY3:
u = CompatUnpickler(fp, encoding="latin1")
else:
u = CompatUnpickler(fp)
u = Unpickler(fp, encoding="latin1")
try:
mat = u.load()
except ImportError:
......
tests/gpuarray/test_type.py
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......@@ -5,10 +5,10 @@ import theano
pygpu = pytest.importorskip("pygpu")
from theano.compat import PY3
from pickle import Unpickler
from theano import config
from theano.compile import DeepCopyOp, Rebroadcast, ViewOp
from theano.misc.pkl_utils import CompatUnpickler
from theano.gpuarray.type import GpuArrayType, gpuarray_shared_constructor
from tests.gpuarray.config import test_ctx_name
......@@ -122,10 +122,7 @@ def test_unpickle_gpuarray_as_numpy_ndarray_flag0():
fname = "GpuArray.pkl"
with open(os.path.join(testfile_dir, fname), "rb") as fp:
if PY3:
u = CompatUnpickler(fp, encoding="latin1")
else:
u = CompatUnpickler(fp)
u = Unpickler(fp, encoding="latin1")
mat = u.load()
assert isinstance(mat, pygpu.gpuarray.GpuArray)
assert np.asarray(mat)[0] == -42.0
......
tests/sandbox/test_multinomial.py
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import os
import sys
import numpy as np
import theano
import tests.unittest_tools as utt
from theano import config, function, tensor
from theano.sandbox import multinomial
from theano.compat import PY3
from theano.misc.pkl_utils import CompatUnpickler
def test_n_samples_1():
......@@ -51,40 +45,6 @@ def test_n_samples_2():
assert res.sum() == i
def test_n_samples_compatibility():
# This test checks if the new change to MultinomialFromUniform is still compatible
# with old interface. Here I will load a graph created (using the old interface) as follows:
# RandomStreams = theano.sandbox.rng_mrg.MRG_RandomStreams
# th_rng = RandomStreams(12345)
# X = T.matrix('X')
# pvals = T.exp(X)
# pvals = pvals / pvals.sum(axis=1, keepdims=True)
# samples = th_rng.multinomial(pvals=pvals)
# pickle.dump([X, samples], open("multinomial_test_graph.pkl", "w"))
folder = os.path.dirname(os.path.abspath(__file__))
with open(os.path.join(folder, "multinomial_test_graph.pkl"), "rb") as pkl_file:
if PY3:
u = CompatUnpickler(pkl_file, encoding="latin1")
else:
u = CompatUnpickler(pkl_file)
try:
X, samples = u.load()
except ImportError:
# Windows sometimes fail with nonsensical errors like:
# ImportError: No module named type
# ImportError: No module named copy_reg
# when "type" and "copy_reg" are builtin modules.
if sys.platform == "win32":
exc_type, exc_value, exc_trace = sys.exc_info()
raise
raise
f = theano.function([X], samples)
res = f(np.random.randn(20, 10))
assert np.all(res.sum(axis=1) == 1)
def test_multinomial_0():
# This tests the MultinomialFromUniform Op directly, not going through the
# multinomial() call in GPU random generation.
......
tests/sandbox/test_multinomial_wo_replacement.py
浏览文件 @ 9f7a1b69
import numpy as np
import pytest
import os
from theano import config, function, tensor
from theano.compat import PY3
from theano.misc.pkl_utils import CompatUnpickler
from theano.sandbox import multinomial
from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams
......@@ -214,14 +212,3 @@ class TestFunction:
avg_pvals /= avg_pvals.sum()
avg_diff = np.mean(abs(avg_pvals - pvals))
assert avg_diff < mean_rtol
def test_unpickle_legacy_op(self):
testfile_dir = os.path.dirname(os.path.realpath(__file__))
fname = "test_sandbox_multinomial_wo_replacement.pkl"
if not PY3:
with open(os.path.join(testfile_dir, fname), "r") as fp:
u = CompatUnpickler(fp)
m = u.load()
print(m)
assert isinstance(m, multinomial.ChoiceFromUniform)
tests/unittest_tools.py
浏览文件 @ 9f7a1b69
......@@ -255,7 +255,7 @@ class InferShapeTester:
else:
shp = inp.shape
if len(set(shp)) != len(shp):
_logger.warn(
_logger.warning(
"While testing shape inference for %r, we received an"
" input with a shape that has some repeated values: %r"
", like a square matrix. This makes it impossible to"
......
theano/compile/debugmode.py
浏览文件 @ 9f7a1b69
......@@ -1437,7 +1437,7 @@ def _check_preallocated_output(
fn_attr_name = ops_with_inner_function[type(node.op)]
fn = getattr(node.op, fn_attr_name, None)
if not fn or not hasattr(fn, "maker") or not hasattr(fn.maker, "mode"):
_logger.warn(
_logger.warning(
"Expected theano function not found in %s.%s", node.op, fn_attr_name
)
else:
......@@ -1482,7 +1482,7 @@ def _check_preallocated_output(
if not out_map:
# Map is empty, there is no need to execute thunk() again
_logger.warn("%s: out_map is empty", name)
_logger.warning("%s: out_map is empty", name)
continue
# Copy the inputs over, if they were marked as destroyed or viewed
......@@ -1904,7 +1904,7 @@ class _Linker(gof.link.LocalLinker):
thunks_py.append(None)
if not self.maker.mode.check_c_code and thunks_py[-1] is None:
_logger.warn(
_logger.warning(
"Op %s doesn't have a perform, "
"forcing check of the C code" % node.op
)
......@@ -1921,7 +1921,7 @@ class _Linker(gof.link.LocalLinker):
elif thunks_c[-1] is None:
thunks_c[-1] = thunk_other
else:
_logger.warn(
_logger.warning(
"We won't check the perform function "
"of node '%s' but we will check its "
"make_thunk function" % node
......
theano/gof/cmodule.py
浏览文件 @ 9f7a1b69
......@@ -2055,7 +2055,7 @@ class GCC_compiler(Compiler):
and "clang-omp++" not in theano.config.cxx
and "icpc" not in theano.config.cxx
):
_logger.warn(
_logger.warning(
"OPTIMIZATION WARNING: your Theano flag `cxx` seems not to be"
" the g++ compiler. So we disable the compiler optimization"
" specific to g++ that tell to compile for a specific CPU."
......@@ -2124,7 +2124,7 @@ class GCC_compiler(Compiler):
)
else:
reported_lines = native_lines
_logger.warn(
_logger.warning(
"OPTIMIZATION WARNING: Theano was not able to find the"
" g++ parameters that tune the compilation to your "
" specific CPU. This can slow down the execution of Theano"
......@@ -2137,7 +2137,7 @@ class GCC_compiler(Compiler):
default_lines = get_lines("%s -E -v -" % theano.config.cxx)
_logger.info("g++ default lines: %s", default_lines)
if len(default_lines) < 1:
_logger.warn(
_logger.warning(
"OPTIMIZATION WARNING: Theano was not able to find the"
" default g++ parameters. This is needed to tune"
" the compilation to your specific"
......
theano/gof/compilelock.py
浏览文件 @ 9f7a1b69
......@@ -349,7 +349,7 @@ def refresh_lock(lock_file):
# This way, only 1 test would fail.
while get_lock.n_lock > 0:
release_lock()
_logger.warn(
_logger.warning(
"Refreshing lock failed, we release the"
" lock before raising again the exception"
)
......
theano/gof/graph.py
浏览文件 @ 9f7a1b69
......@@ -92,7 +92,7 @@ class Apply(Node):
def __init__(self, op, inputs, outputs):
self.op = op
self.inputs = []
self.tag = utils.scratchpad()
self.tag = utils.Scratchpad()
if not isinstance(inputs, (list, tuple)):
raise TypeError("The inputs of an Apply must be a list or tuple")
......@@ -383,7 +383,8 @@ class Variable(Node):
def __init__(self, type, owner=None, index=None, name=None):
super(Variable, self).__init__()
self.tag = utils.scratchpad()
self.tag = utils.ValidatingScratchpad("test_value", type.filter)
self.type = type
if owner is not None and not isinstance(owner, Apply):
raise TypeError("owner must be an Apply instance", owner)
......
theano/gof/op.py
浏览文件 @ 9f7a1b69
......@@ -553,29 +553,10 @@ class PureOp(object):
elif isinstance(v, SharedVariable):
return v.get_value(borrow=True, return_internal_type=True)
elif isinstance(v, graph.Variable) and hasattr(v.tag, "test_value"):
# ensure that the test value is correct
try:
ret = v.type.filter(v.tag.test_value)
except Exception as e:
# Better error message.
detailed_err_msg = (
"For compute_test_value, one input test value does not"
" have the requested type.\n"
)
detailed_err_msg += utils.get_variable_trace_string(v)
return v.tag.test_value
detailed_err_msg += (
"\nThe error when converting the test value to that"
" variable type:"
)
# We need to only have 1 args and it should be of type
# string. Otherwise, it print the tuple and so the
# new line do not get printed.
args = (detailed_err_msg,) + tuple(str(arg) for arg in e.args)
e.args = ("\n".join(args),)
raise
return ret
detailed_err_msg = utils.get_variable_trace_string(v)
raise AttributeError("%s has no test value %s" % (v, detailed_err_msg))
def __call__(self, *inputs, **kwargs):
......@@ -1057,48 +1038,13 @@ def missing_test_message(msg):
assert action in ["ignore", "off"]
def debug_error_message(msg):
"""
Displays a message saying that an error was found in some
test_values. Becomes a warning or a ValueError depending on
config.compute_test_value.
"""
action = config.compute_test_value
# this message should never be called when the debugger is off
assert action != "off"
if action in ["raise", "ignore"]:
raise ValueError(msg)
else:
assert action == "warn"
warnings.warn(msg, stacklevel=2)
def debug_assert(condition, msg=None):
"""
Customized assert with options to ignore the assert
with just a warning
"""
if msg is None:
msg = "debug_assert failed"
if not condition:
action = config.compute_test_value
if action in ["raise", "ignore"]:
raise AssertionError(msg)
else:
assert action == "warn"
warnings.warn(msg, stacklevel=2)
def get_debug_values(*args):
"""
Intended use:
for val_1, ..., val_n in get_debug_values(var_1, ..., var_n):
if some condition on val_1, ..., val_n is not met:
debug_error_message("condition was not met")
missing_test_message("condition was not met")
Given a list of variables, get_debug_values does one of three things:
......@@ -1128,10 +1074,10 @@ def get_debug_values(*args):
except AttributeError:
if hasattr(arg, "name") and arg.name is not None:
missing_test_message(
"Argument " + str(i) + "('" + arg.name + "') has no test value"
"Argument {} ('{}') has no test value".format(i, arg.name)
)
else:
missing_test_message("Argument " + str(i) + " has no test value")
missing_test_message("Argument {} has no test value".format(i))
return []
if len(rval) == 1:
......
theano/gof/utils.py
浏览文件 @ 9f7a1b69
......@@ -239,7 +239,7 @@ class object2(with_metaclass(MetaObject, object)):
return not self == other
class scratchpad(object):
class Scratchpad(object):
def clear(self):
self.__dict__.clear()
......@@ -259,6 +259,23 @@ class scratchpad(object):
print(" %s: %s" % (k, v))
class ValidatingScratchpad(Scratchpad):
"""This `Scratchpad` validates attribute values."""
def __init__(self, attr, attr_filter):
super().__init__()
object.__setattr__(self, "attr", attr)
object.__setattr__(self, "attr_filter", attr_filter)
def __setattr__(self, attr, obj):
if getattr(self, "attr", None) == attr:
obj = self.attr_filter(obj)
return object.__setattr__(self, attr, obj)
class D:
def __init__(self, **d):
self.__dict__.update(d)
......
theano/gof/vm.py
浏览文件 @ 9f7a1b69
......@@ -924,7 +924,7 @@ class VM_Linker(link.LocalLinker):
if self.use_cloop and (
self.callback is not None or self.callback_input is not None
):
logger.warn("CVM does not support callback, using Stack VM.")
logger.warning("CVM does not support callback, using Stack VM.")
if self.use_cloop and config.profile_memory:
warnings.warn("CVM does not support memory profile, using Stack VM.")
if not self.use_cloop and self.allow_partial_eval:
......
theano/misc/pkl_utils.py
浏览文件 @ 9f7a1b69
......@@ -12,6 +12,9 @@ import sys
import tempfile
import zipfile
import warnings
import theano
from collections import defaultdict
from contextlib import closing
from pickle import HIGHEST_PROTOCOL
......@@ -22,10 +25,7 @@ try:
except ImportError:
DEFAULT_PROTOCOL = HIGHEST_PROTOCOL
import theano
from theano import config
from theano.compat import PY3
from six import string_types
from theano.compile.sharedvalue import SharedVariable
__docformat__ = "restructuredtext en"
......@@ -68,7 +68,7 @@ class StripPickler(Pickler):
def save(self, obj):
# Remove the tag.trace attribute from Variable and Apply nodes
if isinstance(obj, theano.gof.utils.scratchpad):
if isinstance(obj, theano.gof.utils.Scratchpad):
for tag in self.tag_to_remove:
if hasattr(obj, tag):
del obj.__dict__[tag]
......@@ -80,93 +80,6 @@ class StripPickler(Pickler):
return Pickler.save(self, obj)
# Make an unpickler that tries encoding byte streams before raising TypeError.
# This is useful with python 3, in order to unpickle files created with
# python 2.
# This code is taken from Pandas, https://github.com/pydata/pandas,
# under the same 3-clause BSD license.
def load_reduce(self):
stack = self.stack
args = stack.pop()
func = stack[-1]
try:
value = func(*args)
except Exception:
# try to reencode the arguments
if self.encoding is not None:
new_args = []
for arg in args:
if isinstance(arg, string_types):
new_args.append(arg.encode(self.encoding))
else:
new_args.append(arg)
args = tuple(new_args)
try:
stack[-1] = func(*args)
return
except Exception:
pass
# if self.is_verbose:
# print(sys.exc_info())
# print(func, args)
raise
stack[-1] = value
if PY3:
class CompatUnpickler(pickle._Unpickler):
"""
Allow to reload in python 3 some pickled numpy ndarray.
.. versionadded:: 0.8
Examples
--------
::
with open(fname, 'rb') as fp:
if PY3:
u = CompatUnpickler(fp, encoding="latin1")
else:
u = CompatUnpickler(fp)
mat = u.load()
"""
pass
# Register `load_reduce` defined above in CompatUnpickler
CompatUnpickler.dispatch[pickle.REDUCE[0]] = load_reduce
else:
class CompatUnpickler(pickle.Unpickler):
"""
Allow to reload in python 3 some pickled numpy ndarray.
.. versionadded:: 0.8
Examples
--------
::
with open(fname, 'rb') as fp:
if PY3:
u = CompatUnpickler(fp, encoding="latin1")
else:
u = CompatUnpickler(fp)
mat = u.load()
"""
pass
class PersistentNdarrayID(object):
"""Persist ndarrays in an object by saving them to a zip file.
......
theano/printing.py
浏览文件 @ 9f7a1b69
......@@ -371,11 +371,11 @@ class Print(Op):
return (1,)
class PrinterState(gof.utils.scratchpad):
class PrinterState(gof.utils.Scratchpad):
def __init__(self, props=None, **more_props):
if props is None:
props = {}
elif isinstance(props, gof.utils.scratchpad):
elif isinstance(props, gof.utils.Scratchpad):
self.__update__(props)
else:
self.__dict__.update(props)
......@@ -862,7 +862,7 @@ def pydotprint(
):
cond = node
if cond is None:
_logger.warn(
_logger.warning(
"pydotprint: cond_highlight is set but there is no"
" IfElse node in the graph"
)
......
theano/tensor/nnet/conv.py
浏览文件 @ 9f7a1b69
......@@ -559,7 +559,7 @@ class ConvOp(OpenMPOp):
" bsize(%i). We revert it to %i. This"
" won't change the result, but may make it slower."
)
_logger.warn(warnstr, self.unroll_batch, self.bsize, new)
_logger.warning(warnstr, self.unroll_batch, self.bsize, new)
self.unroll_batch = new
......@@ -585,7 +585,7 @@ class ConvOp(OpenMPOp):
" nkern(%i). We revert it to %i. This"
" won't change the result, but may make it slower."
)
_logger.warn(warnstr, self.unroll_kern, self.nkern, new)
_logger.warning(warnstr, self.unroll_kern, self.nkern, new)
self.unroll_kern = new
self.outshp = get_conv_output_shape(
......
theano/tensor/opt.py
浏览文件 @ 9f7a1b69
差异被折叠。
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