zhutian
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
import tensorflow as tf
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from onnx_tf.handlers.backend_handler import BackendHandler
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from onnx_tf.handlers.handler import onnx_op
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from onnx_tf.handlers.handler import tf_func
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@onnx_op("ConstantFill")
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@tf_func(tf.fill)
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class ConstantFill(BackendHandler):
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@classmethod
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def args_check(cls, node, **kwargs):
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if node.inputs and "shape" in node.attrs:
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raise ValueError(
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"Cannot set the shape argument and pass in an input at the same time."
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)
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if not node.inputs and "extra_shape" in node.attrs:
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raise ValueError("Cannot set extra_shape when there is no input.")
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@classmethod
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def get_attrs_processor_param(cls):
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return {"default": {"value": 0.}}
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@classmethod
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def version_1(cls, node, **kwargs):
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tensor_dict = kwargs["tensor_dict"]
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if "shape" in node.attrs:
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shape = node.attrs["shape"]
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else:
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shape = tensor_dict[
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node.inputs[0]].get_shape().as_list() if node.attrs.get(
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"input_as_shape", 0) == 0 else tensor_dict[node.inputs[0]]
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if "extra_shape" in node.attrs:
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shape = tf.concat([shape, node.attrs["extra_shape"]], 0)
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value = node.attrs.get("value", 0.)
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if "dtype" in node.attrs:
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return [tf.cast(tf.fill(shape, value), dtype=node.attrs["dtype"])]
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return [cls.make_tensor_from_onnx_node(node, inputs=[shape], **kwargs)]
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