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all_reduce
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156f577f79
feat: switch from `PYBIND11_MODULE` to `TORCH_LIBRARY` (#569)
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7 mēneši atpakaļ |
attention
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156f577f79
feat: switch from `PYBIND11_MODULE` to `TORCH_LIBRARY` (#569)
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7 mēneši atpakaļ |
backup
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f8dfac6372
chore: attention refactor and upstream sync apr01 (#365)
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11 mēneši atpakaļ |
cpu
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271a680026
feat: inference support for PowerPC ISA
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7 mēneši atpakaļ |
hadamard
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5d288aa76c
feat: add fast hadamard transformation kernels (#232)
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1 gadu atpakaļ |
mamba
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5be90c3859
Mamba infrastrucuture support (#586)
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6 mēneši atpakaļ |
moe
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156f577f79
feat: switch from `PYBIND11_MODULE` to `TORCH_LIBRARY` (#569)
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7 mēneši atpakaļ |
punica
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4f42985b5c
feat: qwen2 lora shapes
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7 mēneši atpakaļ |
quantization
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ad24e74a99
feat: FP8 weight-only quantization support for Ampere GPUs
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6 mēneši atpakaļ |
activation_kernels.cu
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c0c336aaa3
refactor: registry for processing model inputs; quick_gelu; clip model support
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7 mēneši atpakaļ |
cache.h
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156f577f79
feat: switch from `PYBIND11_MODULE` to `TORCH_LIBRARY` (#569)
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7 mēneši atpakaļ |
cache_kernels.cu
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156f577f79
feat: switch from `PYBIND11_MODULE` to `TORCH_LIBRARY` (#569)
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7 mēneši atpakaļ |
cuda_compat.h
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00acf371f9
rocm: fused topk softmax
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7 mēneši atpakaļ |
cuda_utils.h
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156f577f79
feat: switch from `PYBIND11_MODULE` to `TORCH_LIBRARY` (#569)
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7 mēneši atpakaļ |
cuda_utils_kernels.cu
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156f577f79
feat: switch from `PYBIND11_MODULE` to `TORCH_LIBRARY` (#569)
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7 mēneši atpakaļ |
dispatch_utils.h
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156f577f79
feat: switch from `PYBIND11_MODULE` to `TORCH_LIBRARY` (#569)
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7 mēneši atpakaļ |
layernorm_kernels.cu
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156f577f79
feat: switch from `PYBIND11_MODULE` to `TORCH_LIBRARY` (#569)
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7 mēneši atpakaļ |
ops.h
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5be90c3859
Mamba infrastrucuture support (#586)
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6 mēneši atpakaļ |
pos_encoding_kernels.cu
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156f577f79
feat: switch from `PYBIND11_MODULE` to `TORCH_LIBRARY` (#569)
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7 mēneši atpakaļ |
reduction.cuh
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aba03b4756
feat: dynamic per-token activation quantization
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7 mēneši atpakaļ |
registration.h
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156f577f79
feat: switch from `PYBIND11_MODULE` to `TORCH_LIBRARY` (#569)
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7 mēneši atpakaļ |
torch_bindings.cpp
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ad24e74a99
feat: FP8 weight-only quantization support for Ampere GPUs
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6 mēneši atpakaļ |