questions about transformation of tensor shape in Conv2d

[dingli-dean]

Hello,I have built a Conv2d instance with num_filters=6 and kernei_size=(3,3),and the input of the conv2d layer is a tensor of [1,12,12,6] with complexed value. Shape=(batch_size, h, w, channels).
Then I found that the output of this layer is of [1,10,10,12] with real value.While the expected tensor should be [1,10,10,6] with complexed value.
Does the [1,10,10,12] tensor stand for the real part and imagenary part of output tensor?If so, we can concate the [1,10,10,:6] and [1,10,10,6:] to get the final expected tensor, right?
Thank you for reading,look forward to your reply.

[dingli-dean]

Then I split the [1,12,12,6] complexed-value tensor into [1,12,12,12] real-valued tensor,and take it as imput,using the same conv2d layer mentioned above.Finally I got a [1,10,10,12] tensor with real value.
Does the [1,10,10,12] tensor stand for the real part and imagenary part of output tensor?If so, we can concate the [1,10,10,:6] and [1,10,10,6:] to get the final expected tensor, right?