zhutian
20 lines
540 B
Python
20 lines
540 B
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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@onnx_op("ImageScaler")
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class ImageScaler(BackendHandler):
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@classmethod
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def version_1(cls, node, **kwargs):
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input_dict = kwargs["tensor_dict"]
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x = input_dict[node.inputs[0]]
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scale = node.attrs.get("scale", 1.0)
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output = tf.multiply(x, scale)
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if "bias" in node.attrs:
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bias = node.attrs["bias"]
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output = tf.nn.bias_add(output, bias, data_format="NCHW")
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return [output]
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