Comments (4)
zasdfgbnm
commented on August 16, 2024
For (2), might be related to my recent PR #86, and I am working on rewriting this part, so hopefully it will be fixed after I rewrite.
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zasdfgbnm
commented on August 16, 2024
I will self assign this issue, but since you already have the fix for setupDivMaxSoftmaxDropoutForward, could you post it as PR?
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liqiangxl
commented on August 16, 2024
sure
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zasdfgbnm
commented on August 16, 2024
Update:
- This is not related to #86
- Adding
, norm_params->lparamstocompileFusionalso fix the issue, I think we should just do it.
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Related Issues (20)
- why consumer's logical domain doesn't equal producer's logical domain after fusion concretization HOT 5
- `cudaMalloc` when using `at::matmul_out` HOT 13
- Hopper-only crash: Unsupported loop structure. Two loops are mapped together. HOT 26
- Sharding propagation
- ExpressionEvaluator errors out when running `logical_and` HOT 1
- Add runtime check for circular buffer correctness
- Codegen error: `have dynamic allocations but are placed in local memory.` coming from qkv_split_rope backwards HOT 9
- benchmarking thunder.jit
- MarkAliasPrepare does not preserve shardings
- Performance of innerOuterPersistent scheduler is very sensitive to register usage and spills HOT 3
- Generalize pattern matching of matmul patterns
- SDPAOp and ComputeAtMap HOT 2
- makeInitialSchedulerEntry requires more than the current segment's inputs. HOT 6
- nvFuser confuses sharded dimension size and unsharded. HOT 3
- crash in transformOutputFromAllocationToLogical: frontier.size() != logical.size() HOT 2
- Indexing failure due to self-mapped broadcast domains
- Indexing error in matmul with certain parameters HOT 1
- Allocs must be based on constant integers HOT 7
- Promote reuse over specialization for small reductions
- INTERNAL ASSERT FAILED: Allocations must be based on constant integers for local memory HOT 2
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