def __init__(self, backend):
Backend.__init__(self, 'Symbolic Field Backend')
self.backend = backend
for fname in dir(self):
if fname not in ('__init__', 'is_tensor', 'is_applicable', 'symbolic_call') and not fname.startswith('__'):
function = getattr(self, fname)
if callable(function):
def context(fname=fname):
def proxy(*args, **kwargs):
return self.symbolic_call(fname, args, kwargs)
return proxy
setattr(self, fname, context())
def __init__(self, backend, target_content_type=struct.VALID):
Backend.__init__(self, 'StructBroadcast')
self.backend = backend
self.target_content_type = target_content_type
for fname in dir(self):
if fname not in ('__init__', 'is_applicable', 'broadcast_function') and not fname.startswith('__'):
function = getattr(self, fname)
if callable(function):
def context(fname=fname):
def proxy(*args, **kwargs):
return self.broadcast_function(self.backend, fname, args, kwargs)
return proxy
setattr(self, fname, context())
def __init__(self):
Backend.__init__(self, "TensorFlow")
def __init__(self):
Backend.__init__(self, 'PyTorch')