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docs/proposals/ONNXMultiDeviceProposal.md
@@ -129,7 +129,7 @@ Note that the above examples assume that the num_shards are evenly divisible int
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#### Sharding as a Broadcast
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-There may be cases where data in a tensor must be duplicated across multiple devices to ensure that operations stay functionaly correct.
+There may be cases where data in a tensor must be duplicated across multiple devices to ensure that operations stay functionally correct.
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For example consider replicating the same 2x2 tensor across two devices. We can do so by providing the following ShardingSpecProto:
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