提交 6c7da0d4 authored 作者: Olivier Delalleau's avatar Olivier Delalleau

Typo fixes

上级 f0d6f48e
...@@ -397,8 +397,8 @@ have to be jointly optimized explicitly in the code.) ...@@ -397,8 +397,8 @@ have to be jointly optimized explicitly in the code.)
SciPy SciPy
----- -----
We can wrap SciPy function in Theano. But Scipy is an optional dependency. We can wrap SciPy functions in Theano. But SciPy is an optional dependency.
Here is some code that allow to make the op Optional: Here is some code that allows the Op to be optional:
.. code-block:: python .. code-block:: python
...@@ -413,17 +413,19 @@ Here is some code that allow to make the op Optional: ...@@ -413,17 +413,19 @@ Here is some code that allow to make the op Optional:
... ...
def make_node(self, x): def make_node(self, x):
assert imported_scipy, ( assert imported_scipy, (
"Scipy not available. Scipy is needed for the SomeOp op.") "SciPy not available. SciPy is needed for the SomeOp op.")
...
from nose.plugins.skip import SkipTest from nose.plugins.skip import SkipTest
class test_Solve(utt.InferShapeTester): class test_SomeOp(utt.InferShapeTester):
... ...
def test_infer_shape(self): def test_infer_shape(self):
if not imported_scipy: if not imported_scipy:
raise SkipTest("Scipy needed for the Cholesky op.") raise SkipTest("SciPy needed for the SomeOp op.")
...
Random number in tests Random numbers in tests
---------------------- -----------------------
Making tests errors more reproducible is a good practice. To make your Making tests errors more reproducible is a good practice. To make your
tests more reproducible, you need a way to get the same random tests more reproducible, you need a way to get the same random
......
...@@ -560,7 +560,7 @@ conv3D = Conv3D() ...@@ -560,7 +560,7 @@ conv3D = Conv3D()
:param b: bias, shape == (W.shape[0],) :param b: bias, shape == (W.shape[0],)
:param d: strides when moving the filter over the input(dx, dy, dt) :param d: strides when moving the filter over the input(dx, dy, dt)
:note: The order of dimensions do not correspond with the one in `conv2d`. :note: The order of dimensions does not correspond to the one in `conv2d`.
This is for optimization. This is for optimization.
""" """
......
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