[Bug] "FLOW_2_NP_DTYPE" undefined

[nwy2010]

I find some bug!
in tvm/python/tvm/relay/frontend/oneflow.py
1、“FLOW_2_NP_DTYPE“ is undefined
shape = tuple(node.input_conf.blob_conf.shape.dim)
dtype = node.input_conf.blob_conf.data_type
if dtype in list(FLOW_2_NP_DTYPE.keys()):
data_type = FLOW_2_NP_DTYPE[dtype]
else:
raise IndexError("Please check the data type of your node: %s" % node.name)

return shape, data_type

2、"scales" undefined
class Upsample(OneFlowOpConverter):
name = ""

@classmethod
def _impl_v1(cls, inputs, attrs, params):
    data = inputs[0]
    input_shape = infer_shape(data)
    dims = len(input_shape)

    width_scale = attrs.get("width_scale", 1.0)
    height_scale = attrs.get("height_scale", 1.0)
    align_corners = attrs.get("align_corners", False)

    if "nearest" in cls.name:
        method = "nearest_neighbor"
    elif "trilinear" in cls.name:
        method = "trilinear"
    elif "bilinear" in cls.name:
        method = "bilinear"

    # in 3d case, we use the purely static op
    if dims == 5:
        if isinstance(scales, _expr.Expr):
            scale_h = _op.take(scales, _op.const(3))
            scale_w = _op.take(scales, _op.const(4))
            scale_d = _op.take(scales, _op.const(1))
        else:
            assert len(scales) == 5
            scale_h = scales[-2]
            scale_w = scales[-1]
            scale_d = scales[-3]

[masahi]

You are welcome to send a PR to fix them. We don't have active contributors to the oneflow frontend.