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README.md

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@@ -217,7 +217,7 @@ Specifically following new keys need to be modified according to your dataset wi
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cond_drop_prob : <probability of dropping class labels>
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```
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* Create a dataset class similar to mnist where the getitem method now returns a tuple of image_tensor and dictionary of conditional_inputs.
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* For class conditional input will ONLY be the integer class
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* For class, conditional input will ONLY be the integer class
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* ```
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(image_tensor, {
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'class' : {0/1/.../num_classes}
@@ -273,7 +273,7 @@ Specifically following new keys need to be modified according to your dataset wi
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cond_drop_prob: 0.1
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```
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* Create a dataset class similar to celebhq where the getitem method now returns a tuple of image_tensor and dictionary of conditional_inputs.
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* For text and mask, conditional input will caption and mask image
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* For text and mask, conditional input will be caption and mask image
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* ```
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(image_tensor, {
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'text' : 'a sample caption for image_tensor',

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