[v1][torch.compile] support managing cudagraph buffer #10203
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Signed-off-by: youkaichao <[email protected]>
Signed-off-by: youkaichao <[email protected]>
Signed-off-by: youkaichao <[email protected]>
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| @@ -94,13 +94,14 @@ def test_simple_piecewise_compile(): | |||
| with set_compile_context([1, 2]): | |||
| model(input_buffer) | |||
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To double check: Here, input_buffer is not directly cached and reused by the backend, right?
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right. let me rename the variable. it is not a persistent buffer anymore. it can be a newly created tensor.
Co-authored-by: Woosuk Kwon <[email protected]>
Signed-off-by: youkaichao <[email protected]>
Signed-off-by: youkaichao <[email protected]>
youkaichao
changed the title
…0203) Signed-off-by: youkaichao <[email protected]> Co-authored-by: Woosuk Kwon <[email protected]>
…0203) Signed-off-by: youkaichao <[email protected]> Co-authored-by: Woosuk Kwon <[email protected]> Signed-off-by: OmerD <[email protected]>
…0203) Signed-off-by: youkaichao <[email protected]> Co-authored-by: Woosuk Kwon <[email protected]> Signed-off-by: Sumit Dubey <[email protected]>
…0203) Signed-off-by: youkaichao <[email protected]> Co-authored-by: Woosuk Kwon <[email protected]>
…0203) Signed-off-by: youkaichao <[email protected]> Co-authored-by: Woosuk Kwon <[email protected]> Signed-off-by: Maxime Fournioux <[email protected]>
advantage: caller does not need to explicitly manage the input buffer
disadvantage: the cost of one more input tensor, and one more copy kernel.
given the code simplification from user side, i think it should be worthwhile.