Open elhazz opened 3 years ago
Hello,
I think you can change inputs = tf.reshape(inputs, [-1, n_channels, input_depth / n_channels]) to inputs = tf.reshape(inputs, [-1, n_channels, int(input_depth / n_channels])) to fix it. Regards, Sajad
On Thu, May 13, 2021 at 9:24 AM elhazz @.***> wrote:
Hello First of all, congratulation on your model. I tried to run it and have some issues.
on the reshape section I have this error, and cannot figure out how to resolve it. inputs = tf.reshape(inputs, [-1, n_channels, input_depth / n_channels])
Error: Value passed to parameter 'shape' has DataType float32 not in list of allowed values: int32, int64
Thank you for any help
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Hello First of all, congratulation on your model. I tried to run it and have some issues.
on the reshape section I have this error, and cannot figure out how to resolve it.
inputs = tf.reshape(inputs, [-1, n_channels, input_depth / n_channels])
Error:
Value passed to parameter 'shape' has DataType float32 not in list of allowed values: int32, int64
Thank you for any help