Comments (3)
LaurentMazare
commented on June 22, 2024
2
Note that I'm also adding a synchronize method across devices in #2055, this will ensure that there is a unified and simple way to make these calls.
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tomsanbear
commented on June 22, 2024
1
I'm actually in the middle of an overhaul of the metal backend on this PR, could you try out this branch with your benchmark and see if it's still an issue? Note that I've replaced the "wait_until_completed" method with a "synchronize" method to match the cuda backend
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antimora
commented on June 22, 2024
CC @louisfd
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Related Issues (20)
- Flash attention 2 support ? HOT 2
- Could someone please explain why this is happening? (batcher.rs seq_len:4294967040) HOT 1
- The output diverges in comparison to the Python implementation. HOT 5
- Running models with different precisions HOT 8
- How to use CUDA as the backend in `candle-wasm-examples/llama2-c` ? HOT 2
- Support for tensors with 0-length dimensions
- Unsound usages of unsafe function `slice::from_raw_parts` HOT 2
- Error: DriverError(CUDA_ERROR_NOT_FOUND, "named symbol not found") when loading cast_f32_bf16 HOT 3
- Falcon example seems broken (on metal) HOT 3
- Error: DriverError(CUDA_ERROR_OUT_OF_MEMORY, "out of memory") with multiple GPU HOT 2
- Falcon implementation issues HOT 2
- llama example seems broken HOT 4
- flash attention does not yield speed gains on llama example HOT 1
- [Possible bug?] Apparent memory leak in repeat_kv, KV cache HOT 3
- [Bug] Multiple batches fails in `quantized` example HOT 2
- Quantized Matmul: Small batches are slower than no-batch HOT 11
- VarBuilder from custom VarMap causes OOM HOT 4
- `Op::Unary(arg, UnaryOp::Silu)` branch in Tensor::backward() may cause NaN HOT 2
- Codegemma-7b-instruct failure on Metal HOT 4
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