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Thank you for sharing so nice codes to us.
I have tested successfully with my code with the AlexNet model which implemented by tensorflow, however there is something wrong with your xception model instead of AlexNet.
Here is the exception in line 66 of xception.py:
InvalidArgumentError (see above for traceback): total number of outputs should be within the range of int which is used in the GPU kernel128 vs 128
[[Node: Xception/block2_dws_conv2/separable_conv2d/depthwise = DepthwiseConv2dNative[T=DT_FLOAT, data_format="NHWC", padding="SAME", strides=[1, 1, 1, 1], _device="/job:localhost/replica:0/task:0/cpu:0"](Xception/block2_relu1, Xception/block2_dws_conv2/depthwise_weights/read)]]
Could you give me a hand for this problem?
Thanks
BR!
From Alex, China
The text was updated successfully, but these errors were encountered:
Hi, @mlopezantequera @kwotsin
Thank you for sharing so nice codes to us.
I have tested successfully with my code with the AlexNet model which implemented by tensorflow, however there is something wrong with your xception model instead of AlexNet.
Here is the exception in line 66 of xception.py:
Could you give me a hand for this problem?
Thanks
BR!
From Alex, China
The text was updated successfully, but these errors were encountered: