def __init__(self, op, operands):
self.op = op
self.children = operands
self.operands = operands
self._opaque = False
# If all the operands to the expression are simple
# numeric types then go ahead and determine what the
# datashape of this operator is before we hit eval().
# Examples:
# IntNode, IntNode
# IntNode, FloatNode
# minor hack until we get graph level numbering of
# expression objects
self.uuid = str(uuid4())
# Make sure the graph makes sense given the signature of
# the function. Does naive type checking and inference.
# TODO: type inference on the aterm graph
self.datashape = coretypes.broadcast(*operands)
def __init__(self, op, operands):
self.op = op
self.children = operands
self.operands = operands
self._opaque = False
# If all the operands to the expression are simple
# numeric types then go ahead and determine what the
# datashape of this operator is before we hit eval().
# Examples:
# IntNode, IntNode
# IntNode, FloatNode
# minor hack until we get graph level numbering of
# expression objects
self.uuid = str(uuid4())
# Make sure the graph makes sense given the signature of
# the function. Does naive type checking and inference.
# TODO: type inference on the aterm graph
self.datashape = coretypes.broadcast(*operands)
def test_broadcast():
x = NDArray([1,2,3])
y = NDArray([1,2,3])
res = broadcast(x,y)
def test_broadcast():
x = NDArray([1, 2, 3])
y = NDArray([1, 2, 3])
res = broadcast(x, y)
