zhutian
33 lines
838 B
Python
33 lines
838 B
Python
import copy
|
|
|
|
import tensorflow as tf
|
|
|
|
from onnx_tf.handlers.backend_handler import BackendHandler
|
|
from onnx_tf.handlers.handler import onnx_op
|
|
from onnx_tf.handlers.handler import tf_func
|
|
|
|
|
|
@onnx_op("Unsqueeze")
|
|
@tf_func(tf.expand_dims)
|
|
class Unsqueeze(BackendHandler):
|
|
|
|
@classmethod
|
|
def _common(cls, node, **kwargs):
|
|
attrs = copy.deepcopy(node.attrs)
|
|
axes = attrs.pop("axes")
|
|
if len(axes) != 1:
|
|
x = kwargs["tensor_dict"][node.inputs[0]]
|
|
for axis in sorted(axes):
|
|
x = tf.expand_dims(x, axis=axis)
|
|
return [x]
|
|
attrs["axis"] = axes[0]
|
|
return [cls.make_tensor_from_onnx_node(node, attrs=attrs, **kwargs)]
|
|
|
|
@classmethod
|
|
def version_1(cls, node, **kwargs):
|
|
return cls._common(node, **kwargs)
|
|
|
|
@classmethod
|
|
def version_11(cls, node, **kwargs):
|
|
return cls._common(node, **kwargs)
|