Fix dummy cache allocation #574
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mryab
reviewed
Apr 11, 2024
src/petals/server/throughput.py
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| @@ -206,7 +206,7 @@ def measure_compute_rps( | |||
| block = block.to(dtype) | |||
| block = convert_block(block, 0, config, tensor_parallel_devices, device, quant_type=quant_type, freeze=True) | |||
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| cache = (DUMMY_KEY_PAST.to(dtype), DUMMY_KEY_PAST.to(dtype)) | |||
| cache = (DUMMY_KEY_PAST.to(dtype).to(device), DUMMY_KEY_PAST.to(dtype).to(device)) | |||
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Let's replace chained calls by a single call to .to
justheuristic
approved these changes
Apr 16, 2024
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Fix allocation of the dummy key_value cache. It's not used in actual computations, but torch checkers require them to be on the correct device.