fix dtype conversion of example_input_array in model summary #2510
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What does this PR do?
Fixes #2286
We currently convert the input to
model.dtype
. We should however not do this and let the user determine the dtype, since there are models that have different dtype for their inputs than for the model parameters. Example: nn.Embedding layer takes a long tensor as input, but the weights are float.Therefore, the fix is to simply drop the automatic conversion.
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