def __init__(self,
value=None,
shape=None,
dtype=None,
device=None,
name=''):
if not device:
device = use_default_device()
if (np.isscalar(value) or isinstance(value, np.ndarray)) and not shape:
shape = ()
if dtype is not None:
if isinstance(value, np.ndarray) and dtype != value.dtype:
value = np.array(value, dtype=dtype)
else:
if isinstance(value, np.ndarray):
dtype = value.dtype
else:
dtype = np.float32
if np.isscalar(value):
super(Constant, self).__init__(sanitize_shape(shape),
sanitize_dtype_cntk(dtype), value,
device, name)
else:
ndav = sanitize_value(shape, value, dtype, device)
super(Constant, self).__init__(ndav, name)
def __init__(self,
shape=None,
init=None,
dtype=None,
device=None,
name=''):
if not device:
device = use_default_device()
if dtype is not None:
if isinstance(init, np.ndarray) and dtype != init.dtype:
init = np.array(init, dtype=dtype)
else:
if np.isscalar(init) and not shape:
shape = ()
if isinstance(init, np.ndarray):
dtype = init.dtype
else:
dtype = np.float32
if init is None:
init = 0
if isinstance(init, (np.ndarray, list, float, int)):
ndav = sanitize_value(shape, init, dtype, device)
super(Parameter, self).__init__(ndav, name)
else:
shape = sanitize_shape(shape)
cntk_dtype = sanitize_dtype_cntk(dtype)
super(Parameter, self).__init__(shape, cntk_dtype, init, device,
name)
def __init__(self, value=None, shape=None, dtype=None, device=None, name=''):
if dtype is None:
if isinstance(value, np.ndarray):
dtype = value.dtype
else:
dtype = np.float32
if device is None:
device = DeviceDescriptor.use_default_device()
if np.isscalar(value):
super(Constant, self).__init__(sanitize_shape(shape),
sanitize_dtype_cntk(dtype), value, device, name)
else:
ndav = sanitize_value(shape, value, dtype, device)
super(Constant, self).__init__(ndav, name)
def test_numpy_conversion():
from cntk.internal import sanitize_value
from ..cntk_py import Value
# check NDArrayView
ndav = sanitize_value((2, 3), 1, np.float32, None)
assert np.all(ndav.asarray() == np.ones((2, 3)))
# check Value
assert np.all(Value(ndav).asarray() == np.ones((2, 3)))
# check Constant
c = C.constant(1, shape=(2, 3))
assert np.all(c.asarray() == np.ones((2, 3)))
#check Parameter
p = C.parameter(shape=(2, 3), init=1)
assert np.all(p.asarray() == np.ones((2, 3)))
def test_numpy_conversion():
from cntk.internal import sanitize_value
from ..cntk_py import Value
# check NDArrayView
ndav = sanitize_value((2,3), 1, np.float32, None)
assert np.all(ndav.asarray() == np.ones((2,3)))
# check Value
assert np.all(Value(ndav).asarray() == np.ones((2,3)))
# check Constant
c = C.constant(1, shape=(2,3))
assert np.all(c.asarray() == np.ones((2,3)))
#check Parameter
p = C.parameter(shape=(2,3), init=1)
assert np.all(p.asarray() == np.ones((2,3)))
def __init__(self, shape=None, init=None, dtype=None,
device=None, name=''):
if dtype is None:
if isinstance(init, np.ndarray):
dtype = init.dtype
else:
dtype = np.float32
if init is None:
init = 0
if isinstance(init, (np.ndarray, list, float, int)):
ndav = sanitize_value(shape, init, dtype, device)
super(Parameter, self).__init__(ndav, name)
else:
shape = sanitize_shape(shape)
cntk_dtype = sanitize_dtype_cntk(dtype)
super(Parameter, self).__init__(shape, cntk_dtype, init,
device, name)
def __init__(self,
value=None,
shape=None,
dtype=None,
device=None,
name=''):
if dtype is None:
if isinstance(value, np.ndarray):
dtype = value.dtype
else:
dtype = np.float32
if device is None:
device = DeviceDescriptor.use_default_device()
if np.isscalar(value):
super(Constant, self).__init__(sanitize_shape(shape),
sanitize_dtype_cntk(dtype), value,
device, name)
else:
ndav = sanitize_value(shape, value, dtype, device)
super(Constant, self).__init__(ndav, name)
def __init__(self,
shape=None,
init=None,
dtype=None,
device=None,
name=''):
if dtype is None:
if isinstance(init, np.ndarray):
dtype = init.dtype
else:
dtype = np.float32
if init is None:
init = 0
if isinstance(init, (np.ndarray, list, float, int)):
ndav = sanitize_value(shape, init, dtype, device)
super(Parameter, self).__init__(ndav, name)
else:
shape = sanitize_shape(shape)
cntk_dtype = sanitize_dtype_cntk(dtype)
super(Parameter, self).__init__(shape, cntk_dtype, init, device,
name)