mirror of https://github.com/hpcaitech/ColossalAI
fix typo under extensions/ (#5330)
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febed23288
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@ -3,12 +3,12 @@
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## ๐ Table of Contents
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- [๐ Extensions](#-extensions)
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- [๐ Table of Contents](#-table-of-contents)
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- [๐ Introduction](#-introduction)
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- [๐ช
Design](#-design)
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- [๐ API Usage](#-api-usage)
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- [๐ Write a customized extension](#-write-a-customized-extension)
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- [โ๏ธ Acknowledgement](#๏ธ-acknowledgement)
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- [๐ Table of Contents](#-table-of-contents)
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- [๐ Introduction](#-introduction)
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- [๐ช
Design](#-design)
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- [๐ API Usage](#-api-usage)
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- [๐ Write a customized extension](#-write-a-customized-extension)
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- [โ๏ธ Acknowledgement](#๏ธ-acknowledgement)
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## ๐ Introduction
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@ -46,12 +46,12 @@ kernel = CPUAdamLoader().load()
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- Case 2: Load a specific kernel
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This case applies if you are familar with the extensions available.
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This case applies if you are familiar with the extensions available.
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```python
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from colossalai.kernel.kernel_loader import CPUAdamLoader
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# load the kernel by giving the kernal name
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# load the kernel by giving the kernel name
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kernel = CPUAdamLoader().load(ext_name="cpu_adam_arm")
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```
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@ -20,7 +20,7 @@ class _CudaExtension(_CppExtension):
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"""
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def is_hardware_available(self) -> bool:
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# cuda extension can only be built if cuda is availabe
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# cuda extension can only be built if cuda is available
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try:
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import torch
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@ -6,7 +6,7 @@ class FlashAttentionDaoCudaExtension(_Extension):
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super().__init__(name="flash_attention_dao_cuda", support_aot=False, support_jit=False, priority=10)
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def is_hardware_available(self) -> bool:
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# cuda extension can only be built if cuda is availabe
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# cuda extension can only be built if cuda is available
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try:
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import torch
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@ -6,7 +6,7 @@ class FlashAttentionXformersCudaExtension(_Extension):
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super().__init__(name="flash_attention_xformers_cuda", support_aot=False, support_jit=False)
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def is_hardware_available(self) -> bool:
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# cuda extension can only be built if cuda is availabe
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# cuda extension can only be built if cuda is available
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try:
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import torch
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@ -8,7 +8,7 @@ class _TritonExtension(_Extension):
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super().__init__(name, support_aot=False, support_jit=True, priority=priority)
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def is_hardware_compatible(self) -> bool:
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# cuda extension can only be built if cuda is availabe
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# cuda extension can only be built if cuda is available
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try:
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import torch
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