tensorlayerx.nn.UpSampling2d当data_format="channels_first"和paddle.nn.Upsample输出结果维度不一致

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[INSERT CODE HERE]

# ======================================================== #
###### THIS CODE IS AN EXAMPLE, REPLACE WITH YOUR OWN ######
# ======================================================== #
import os
import paddle
os.environ['TL_BACKEND'] = 'paddle'
import tensorlayerx as tlx

tlx_ni = tlx.nn.Input([4, 32, 50, 50], name='input')
tlx_out = tlx.nn.UpSampling2d(scale=(2, 2), data_format="channels_first")(tlx_ni)
print(f"tlx_out.shape={tlx_out.shape}")

pd_ni = paddle.rand([4, 32, 50, 50], dtype="float32")
pd_out = paddle.nn.Upsample(scale_factor=2, data_format="NCHW")(pd_ni)
print(f"pd_out.shape={pd_out.shape}")

# ======================================================== #
###### THIS CODE IS AN EXAMPLE, REPLACE WITH YOUR OWN ######
# ======================================================== #

输出结果
tlx_out.shape=[4, 32, 64, 100]
pd_out.shape=[4, 32, 100, 100]