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@ -678,6 +678,13 @@ class FusedBatchNormEx(PrimitiveWithInfer):
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>>> op = P.FusedBatchNormEx()
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>>> output = op(input_x, scale, bias, mean, variance)
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"""
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__mindspore_signature__ = (
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('input_x', sig_rw.RW_READ, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE, sig_dtype.T2),
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('scale', sig_rw.RW_WRITE, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE, sig_dtype.T),
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('bias', sig_rw.RW_WRITE, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE, sig_dtype.T),
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('mean', sig_rw.RW_WRITE, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE, sig_dtype.T),
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('variance', sig_rw.RW_WRITE, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE, sig_dtype.T),
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)
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@prim_attr_register
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def __init__(self, mode=0, epsilon=1e-5, momentum=0.1):
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