def __from_inputs():
mapped_inputs = [
nndct_utils.node_from_output(i, self.get_model_type())
for i in inputs
]
for node in self.__Nndctgraph.nodes:
if all(i in node.inputs for i in mapped_inputs):
return node
raise KeyError(
"node with inputs {}(map to {}) do not exist in Graph, please check!"
.format(inputs, mapped_inputs))
def quant_inputs(self, node_or_name, inputs, params=None, validate=True):
node = self._find_node(node_or_name)
valid_inputs = []
for i in inputs:
try:
input_node = self.get_Nndctnode(
node_name=nndct_utils.node_from_output(
i, self.get_model_type()))
except KeyError:
valid_inputs.append(None)
continue
if input_node.op.type == NNDCT_OP.INPUT:
valid_input = input_node.name
valid_inputs.append(valid_input)
else:
valid_inputs.append(None)
return valid_inputs
