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.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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build/torch27-cxx11-rocm63-x86_64-linux/aiter_cache/_aiter_cache_a120ba4f5566b.so filter=lfs diff=lfs merge=lfs -text
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build/torch27-cxx11-rocm63-x86_64-linux/aiter_cache/__init__.py
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@@ -0,0 +1,74 @@
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# This is a Python package for the kernel.
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from ._ops import ops
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# SPDX-License-Identifier: MIT
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# Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
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from torch import Tensor
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from typing import List, Optional
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from ..jit.core import compile_ops, CK_DIR, AITER_CSRC_DIR
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import torch.nn.functional as F
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MD_NAME = "module_cache"
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def swap_blocks(src: Tensor, dst: Tensor, block_mapping: Tensor):
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return ops.swap_blocks(src, dst, block_mapping)
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def copy_blocks(key_caches: Tensor, value_caches: Tensor, block_mapping: Tensor):
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return ops.copy_blocks(key_caches, value_caches, block_mapping)
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def reshape_and_cache(
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key: Tensor,
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value: Tensor,
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key_cache: Tensor,
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value_cache: Tensor,
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slot_mapping: Tensor,
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kv_cache_dtype: str,
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k_scale: float,
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v_scale: float,
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asm_layout: bool,
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):
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return ops.reshape_and_cache(
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key, value, key_cache, value_cache, slot_mapping, kv_cache_dtype, k_scale, v_scale, asm_layout
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)
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def reshape_and_cache_flash(
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key: Tensor,
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value: Tensor,
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key_cache: Tensor,
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value_cache: Tensor,
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slot_mapping: Tensor,
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kv_cache_dtype: str,
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k_scale: float,
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v_scale: float,
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):
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return ops.reshape_and_cache_flash(
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key, value, key_cache, value_cache, slot_mapping, kv_cache_dtype, k_scale, v_scale
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)
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def reshape_and_cache_with_pertoken_quant(
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key: Tensor,
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value: Tensor,
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key_cache: Tensor,
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value_cache: Tensor,
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k_dequant_scales: Tensor,
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v_dequant_scales: Tensor,
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slot_mapping: Tensor,
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asm_layout: bool,
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):
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return ops.reshape_and_cache_with_pertoken_quant(
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key, value, key_cache, value_cache, k_dequant_scales, v_dequant_scales, slot_mapping, asm_layout
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)
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def convert_fp8(dst_cache: Tensor, src_cache: Tensor, scale: float, kv_cache_dtype: str):
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return ops.convert_fp8(dst_cache, src_cache, scale, kv_cache_dtype)
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__all__ = [
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"swap_blocks",
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"copy_blocks",
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"reshape_and_cache",
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"reshape_and_cache_flash",
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"reshape_and_cache_with_pertoken_quant",
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"convert_fp8",
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]
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build/torch27-cxx11-rocm63-x86_64-linux/aiter_cache/_aiter_cache_a120ba4f5566b.so
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version https://git-lfs.github.com/spec/v1
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oid sha256:90b336720d27099a02e321d13a67c5e81caeb5c956d76ee21752434521fd57f0
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size 2371744
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build/torch27-cxx11-rocm63-x86_64-linux/aiter_cache/_ops.py
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import torch
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from . import _aiter_cache_a120ba4f5566b
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ops = torch.ops._aiter_cache_a120ba4f5566b
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def add_op_namespace_prefix(op_name: str):
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"""
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Prefix op by namespace.
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"""
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return f"_aiter_cache_a120ba4f5566b::{op_name}"
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