DivineTraube
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Making the Web Faster with Service Workers and Performance Research
UnfilteredStackTrace Traceback (most recent call last) <ipython-input-2-0e20e3adf861> in <module>() 2 ----> 3 image = generate_image_from_text("alien life", seed=7) 4 display(image)
67 frames UnfilteredStackTrace: TypeError: lax.dynamic_update_slice requires arguments to have the same dtypes, got float16, float32.
The stack trace below excludes JAX-internal frames. The preceding is the original exception that occurred, unmodified.
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The above exception was the direct cause of the following exception:
TypeError Traceback (most recent call last) /content/min-dalle/min_dalle/models/dalle_bart_decoder_flax.py in __call__(self, decoder_state, keys_state, values_state, attention_mask, state_index) 38 keys_state, 39 self.k_proj(decoder_state).reshape(shape_split), ---> 40 state_index 41 ) 42 values_state = lax.dynamic_update_slice(
TypeError: lax.dynamic_update_slice requires arguments to have the same dtypes, got float16, float32.
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This is one of the reasons, why at Baqend we opted for a different approach: by using Service Workers, we can make sure that as a service provider we will only see public data. Personally identifiable information like cookies and sensitive session information does not leave the user's browser. And if you think about it that makes a lot of sense, since the public data really is what makes a site fast or slow. User-specific data (e.g., a profile, payment data, etc.) is hardly ever the cause of performance problems. Nonetheless, we do use CDNs for public data as they are an indispensable tool to achieve low latency.