zhutian
30 lines
1.1 KiB
Python
30 lines
1.1 KiB
Python
import copy
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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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from .gather_and_scatter_mixin import GatherAndScatterMixin
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@onnx_op("Gather")
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@tf_func(tf.gather)
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class Gather(GatherAndScatterMixin, BackendHandler):
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@classmethod
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def version_1(cls, node, **kwargs):
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return [cls.make_tensor_from_onnx_node(node, **kwargs)]
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@classmethod
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def version_11(cls, node, **kwargs):
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x = kwargs["tensor_dict"][node.inputs[0]]
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indices = kwargs["tensor_dict"][node.inputs[1]]
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attrs = copy.deepcopy(node.attrs)
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axis = attrs.get("axis", 0)
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result = cls.chk_idx_out_of_bounds_along_axis(x, axis, indices)
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msg = 'Gather indices are out of bounds, please double check the indices and retry.'
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with tf.control_dependencies([tf.compat.v1.assert_equal(result, True, message=msg)]):
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indices = cls.process_neg_idx_along_axis(x, axis, indices)
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attrs['axis'] = axis
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return [cls.make_tensor_from_onnx_node(node, attrs=attrs, inputs=[x, indices], **kwargs)]
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