def __init__(self, type, data, name=None):
Constant.__init__(self, type, data, name)
if (isinstance(data, numpy.ndarray) and data.ndim > 0
and len(numpy.unique(data)) == 1):
self.tag.unique_value = numpy.unique(data)[0]
else:
self.tag.unique_value = None
def __init__(self, type, data, name=None):
Constant.__init__(self, type, data, name)
if (isinstance(data, numpy.ndarray) and
data.ndim > 0 and
len(numpy.unique(data)) == 1):
self.tag.unique_value = numpy.unique(data)[0]
else:
self.tag.unique_value = None
def __init__(self, type, data, name=None):
Constant.__init__(self, type, data, name)
self.tag.unique_value = None
if isinstance(data, numpy.ndarray) and data.ndim > 0:
flat_data = data.ravel()
if flat_data.shape[0]:
if (flat_data == flat_data[0]).all():
self.tag.unique_value = flat_data[0]
def __init__(self, type, data, name=None):
Constant.__init__(self, type, data, name)
self.tag.unique_value = None
if isinstance(data, np.ndarray) and data.ndim > 0:
flat_data = data.ravel()
if flat_data.shape[0]:
if (flat_data == flat_data[0]).all():
self.tag.unique_value = flat_data[0]
def __init__(self, type, data, name=None):
assert isinstance(data, slice)
# Numpy ndarray aren't hashable, so get rid of them.
if isinstance(data.start, numpy.ndarray):
assert data.start.ndim == 0
assert "int" in str(data.start.dtype)
data = slice(int(data.start), data.stop, data.step)
elif isinstance(data.stop, numpy.ndarray):
assert data.stop.ndim == 0
assert "int" in str(data.stop.dtype)
data = slice(data.start, int(data.stop), data.step)
elif isinstance(data.step, numpy.ndarray):
assert data.step.ndim == 0
assert "int" in str(data.step.dtype)
data = slice(data.start, int(data.stop), data.step)
Constant.__init__(self, type, data, name)
def __init__(self, type, data, name=None):
assert isinstance(data, slice)
# Numpy ndarray aren't hashable, so get rid of them.
if isinstance(data.start, np.ndarray):
assert data.start.ndim == 0
assert str(data.start.dtype) in theano.tensor.integer_dtypes
data = slice(int(data.start), data.stop, data.step)
elif isinstance(data.stop, np.ndarray):
assert data.stop.ndim == 0
assert str(data.stop.dtype) in theano.tensor.integer_dtypes
data = slice(data.start, int(data.stop), data.step)
elif isinstance(data.step, np.ndarray):
assert data.step.ndim == 0
assert str(data.step.dtype) in theano.tensor.integer_dtypes
data = slice(data.start, int(data.stop), data.step)
Constant.__init__(self, type, data, name)
