提交 243ba500 authored 作者: Pascal Lamblin's avatar Pascal Lamblin

Pep8 / unused imports

上级 99cfc788
...@@ -24,7 +24,7 @@ from theano.sparse.basic import _is_dense, _is_sparse, _mtypes ...@@ -24,7 +24,7 @@ from theano.sparse.basic import _is_dense, _is_sparse, _mtypes
from theano.sparse.basic import _is_dense_variable, _is_sparse_variable from theano.sparse.basic import _is_dense_variable, _is_sparse_variable
from theano.sparse import ( from theano.sparse import (
verify_grad_sparse, as_sparse_variable, verify_grad_sparse, as_sparse_variable,
CSC, CSR, CSM, CSMProperties, csm_properties, CSC, CSM, CSMProperties, csm_properties,
SparseType, CSMGrad, SparseType, CSMGrad,
StructuredDot, StructuredDot,
StructuredDotGradCSC, StructuredDotGradCSR, StructuredDotGradCSC, StructuredDotGradCSR,
...@@ -34,9 +34,8 @@ from theano.sparse import ( ...@@ -34,9 +34,8 @@ from theano.sparse import (
Dot, Usmm, sp_ones_like, GetItemScalar, Dot, Usmm, sp_ones_like, GetItemScalar,
SparseFromDense, SparseFromDense,
Cast, cast, HStack, VStack, AddSSData, add_s_s_data, Cast, cast, HStack, VStack, AddSSData, add_s_s_data,
structured_sigmoid, structured_exp, structured_log, structured_minimum, structured_maximum, structured_add,
structured_pow, structured_minimum, structured_maximum, structured_add, mul_s_v, structured_add_s_v,
MulSV, mul_s_v, StructuredAddSV, structured_add_s_v,
SamplingDot, sampling_dot, SamplingDot, sampling_dot,
Diag, diag, SquareDiagonal, square_diagonal, Diag, diag, SquareDiagonal, square_diagonal,
EnsureSortedIndices, ensure_sorted_indices, clean, EnsureSortedIndices, ensure_sorted_indices, clean,
...@@ -1272,9 +1271,9 @@ class UsmmTests(unittest.TestCase): ...@@ -1272,9 +1271,9 @@ class UsmmTests(unittest.TestCase):
isinstance(topo[2].op.scalar_op, theano.scalar.Mul)) isinstance(topo[2].op.scalar_op, theano.scalar.Mul))
assert (isinstance(topo[3].op, theano.tensor.Elemwise) and assert (isinstance(topo[3].op, theano.tensor.Elemwise) and
isinstance(topo[3].op.scalar_op, theano.scalar.Sub)) isinstance(topo[3].op.scalar_op, theano.scalar.Sub))
elif (y.type.dtype == up and format1 == 'csc' and format2 == 'dense' elif (y.type.dtype == up and format1 == 'csc'
and not fast_compile and theano.config.cxx and and format2 == 'dense' and not fast_compile
up in ('float32', 'float64')): and theano.config.cxx and up in ('float32', 'float64')):
# The op UsmmCscDense should be inserted # The op UsmmCscDense should be inserted
assert (sum([isinstance(node.op, tensor.Elemwise) and assert (sum([isinstance(node.op, tensor.Elemwise) and
isinstance(node.op.scalar_op, isinstance(node.op.scalar_op,
...@@ -2079,6 +2078,7 @@ class CastTester(utt.InferShapeTester): ...@@ -2079,6 +2078,7 @@ class CastTester(utt.InferShapeTester):
verify_grad_sparse(Cast(o_dtype), data, eps=eps) verify_grad_sparse(Cast(o_dtype), data, eps=eps)
def _format_info(nb): def _format_info(nb):
x = {} x = {}
mat = {} mat = {}
......
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