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measure each kernel's perf in eager mode and torch.compile
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Need to create a module to implement eager loading on the server. The idea is that when a client makes a request to us we want to fulfill their request all at once, not require them to make repeated …
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It would be great if collections supported eager saving node, in which insertion, updates and deletion of documents were persisted immediately. This would be async, so promise could be returned.
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Below text by Chris Pressey:
I have encountered what certainly appears to be a bug in version 3.0.1
of the `reuse` tool. I am reporting it here because I don't use GitHub
(and thank you for work…
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Hi, first I just want to thank you for all the hard work you're doing and have done in creating and supporting this gem.
I have a question that's almost exactly the same as [this one](https://github.…
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### bug描述 Describe the Bug
File "/workspace/PaddleNLP/paddlenlp/transformers/llama/modeling.py", line 1540, in forward
logits = parallel_matmul(hidden_states, self.weight, tensor_parallel_output=ten…
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Hi @chuanqi129,
Currently guilty commit inductor single run cannot support other backend except inductor.
https://github.com/chuanqi129/inductor-tools/blob/main/scripts/modelbench/inductor_single…
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Hello, I'm new to toolz and am trying out the functions in the curried namespace. The code below
```
from toolz.curried import *
is_even = lambda n: n % 2 == 0
inc = lambda n: n + 1
compose(
…
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When using `db.get` provided by `@dzlzv/hydra-common`'s `DatabaseManager` like this:
```
// input schema
type Video @entity {
channel: Channel
license: License
...
}
// db.get in map…
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I'm interested in using this to model very large Xmls, but I'm concerned that the library is effectively eagerly reading all the data in, and will take enormous amounts of data.
Is it just a thin lay…