Upsampling Issue

[krishnakarthi]

Hi,
I'm using Deeplab v3 keras based model to train my custom dataset from scratch, here my image size is 512 x 512. When i look upsampling architecture in the Lambda layer its suddenly increasing from 64 to 512. Can you please give me reason for this sudden increase from 64 to 512 or am i missing here.

dropout_1 (Dropout) (None, 64, 64, 256) 0 activation_2[0][0]

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custom_logits_semantic (Conv2D) (None, 64, 64, 10) 2570 dropout_1[0][0]

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lambda_4 (Lambda) (None, 512, 512, 10) 0 custom_logits_semantic[0][0]

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reshape_1 (Reshape) (None, 262144, 10) 0 lambda_4[0][0]

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[zainulabidin302]

@krishnakarthi , looks like the issue is coming due to difference in "input_shape" and "input_tensor" parameters.
Are you passing both?