Add build
Browse files- build/torch24-cxx11-cu118-x86_64-linux/activation/__init__.py +32 -0
- build/torch24-cxx11-cu118-x86_64-linux/activation/_activation.abi3.so +0 -0
- build/torch24-cxx11-cu121-x86_64-linux/activation/__init__.py +32 -0
- build/torch24-cxx11-cu121-x86_64-linux/activation/_activation.abi3.so +0 -0
- build/torch24-cxx11-cu124-x86_64-linux/activation/__init__.py +32 -0
- build/torch24-cxx11-cu124-x86_64-linux/activation/_activation.abi3.so +0 -0
- build/torch24-cxx98-cu118-x86_64-linux/activation/__init__.py +32 -0
- build/torch24-cxx98-cu118-x86_64-linux/activation/_activation.abi3.so +0 -0
- build/torch24-cxx98-cu121-x86_64-linux/activation/__init__.py +32 -0
- build/torch24-cxx98-cu121-x86_64-linux/activation/_activation.abi3.so +0 -0
- build/torch24-cxx98-cu124-x86_64-linux/activation/__init__.py +32 -0
- build/torch24-cxx98-cu124-x86_64-linux/activation/_activation.abi3.so +0 -0
- build/torch25-cxx11-cu118-x86_64-linux/activation/__init__.py +32 -0
- build/torch25-cxx11-cu118-x86_64-linux/activation/_activation.abi3.so +0 -0
- build/torch25-cxx11-cu121-x86_64-linux/activation/__init__.py +32 -0
- build/torch25-cxx11-cu121-x86_64-linux/activation/_activation.abi3.so +0 -0
- build/torch25-cxx11-cu124-x86_64-linux/activation/__init__.py +32 -0
- build/torch25-cxx11-cu124-x86_64-linux/activation/_activation.abi3.so +0 -0
- build/torch25-cxx98-cu118-x86_64-linux/activation/__init__.py +32 -0
- build/torch25-cxx98-cu118-x86_64-linux/activation/_activation.abi3.so +0 -0
- build/torch25-cxx98-cu121-x86_64-linux/activation/__init__.py +32 -0
- build/torch25-cxx98-cu121-x86_64-linux/activation/_activation.abi3.so +0 -0
- build/torch25-cxx98-cu124-x86_64-linux/activation/__init__.py +32 -0
- build/torch25-cxx98-cu124-x86_64-linux/activation/_activation.abi3.so +0 -0
build/torch24-cxx11-cu118-x86_64-linux/activation/__init__.py
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import torch
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import activation._activation
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def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.silu_and_mul(out, x)
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def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.gelu_and_mul(out, x)
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def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.gelu_tanh_and_mul(out, x)
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def fatrelu_and_mul(out: torch.Tensor,
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x: torch.Tensor,
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threshold: float = 0.0) -> None:
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torch.ops._activation.fatrelu_and_mul(out, x, threshold)
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def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.gelu_fast(out, x)
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def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.gelu_new(out, x)
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def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.gelu_quick(out, x)
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build/torch24-cxx11-cu118-x86_64-linux/activation/_activation.abi3.so
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build/torch24-cxx11-cu121-x86_64-linux/activation/__init__.py
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import torch
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import activation._activation
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def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.silu_and_mul(out, x)
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def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.gelu_and_mul(out, x)
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def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.gelu_tanh_and_mul(out, x)
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def fatrelu_and_mul(out: torch.Tensor,
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x: torch.Tensor,
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threshold: float = 0.0) -> None:
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torch.ops._activation.fatrelu_and_mul(out, x, threshold)
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def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.gelu_fast(out, x)
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def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.gelu_new(out, x)
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def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.gelu_quick(out, x)
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build/torch24-cxx11-cu121-x86_64-linux/activation/_activation.abi3.so
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Binary file (771 kB). View file
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build/torch24-cxx11-cu124-x86_64-linux/activation/__init__.py
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import torch
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import activation._activation
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def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.silu_and_mul(out, x)
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| 8 |
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| 9 |
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def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.gelu_and_mul(out, x)
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def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
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torch.ops._activation.gelu_tanh_and_mul(out, x)
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def fatrelu_and_mul(out: torch.Tensor,
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x: torch.Tensor,
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threshold: float = 0.0) -> None:
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torch.ops._activation.fatrelu_and_mul(out, x, threshold)
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def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
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| 24 |
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torch.ops._activation.gelu_fast(out, x)
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def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
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| 28 |
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torch.ops._activation.gelu_new(out, x)
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| 31 |
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def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
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| 32 |
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torch.ops._activation.gelu_quick(out, x)
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build/torch24-cxx11-cu124-x86_64-linux/activation/_activation.abi3.so
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Binary file (808 kB). View file
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build/torch24-cxx98-cu118-x86_64-linux/activation/__init__.py
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import torch
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| 3 |
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import activation._activation
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| 4 |
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|
| 5 |
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def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 6 |
+
torch.ops._activation.silu_and_mul(out, x)
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 10 |
+
torch.ops._activation.gelu_and_mul(out, x)
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| 11 |
+
|
| 12 |
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|
| 13 |
+
def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 14 |
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torch.ops._activation.gelu_tanh_and_mul(out, x)
|
| 15 |
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|
| 16 |
+
|
| 17 |
+
def fatrelu_and_mul(out: torch.Tensor,
|
| 18 |
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x: torch.Tensor,
|
| 19 |
+
threshold: float = 0.0) -> None:
|
| 20 |
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torch.ops._activation.fatrelu_and_mul(out, x, threshold)
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 24 |
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torch.ops._activation.gelu_fast(out, x)
|
| 25 |
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|
| 26 |
+
|
| 27 |
+
def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 28 |
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torch.ops._activation.gelu_new(out, x)
|
| 29 |
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| 30 |
+
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| 31 |
+
def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 32 |
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torch.ops._activation.gelu_quick(out, x)
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build/torch24-cxx98-cu118-x86_64-linux/activation/_activation.abi3.so
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Binary file (761 kB). View file
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build/torch24-cxx98-cu121-x86_64-linux/activation/__init__.py
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import torch
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| 3 |
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import activation._activation
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| 4 |
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| 5 |
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def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 6 |
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torch.ops._activation.silu_and_mul(out, x)
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 10 |
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torch.ops._activation.gelu_and_mul(out, x)
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 14 |
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torch.ops._activation.gelu_tanh_and_mul(out, x)
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
def fatrelu_and_mul(out: torch.Tensor,
|
| 18 |
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x: torch.Tensor,
|
| 19 |
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threshold: float = 0.0) -> None:
|
| 20 |
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torch.ops._activation.fatrelu_and_mul(out, x, threshold)
|
| 21 |
+
|
| 22 |
+
|
| 23 |
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def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 24 |
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torch.ops._activation.gelu_fast(out, x)
|
| 25 |
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|
| 26 |
+
|
| 27 |
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def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 28 |
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torch.ops._activation.gelu_new(out, x)
|
| 29 |
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|
| 30 |
+
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| 31 |
+
def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 32 |
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torch.ops._activation.gelu_quick(out, x)
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build/torch24-cxx98-cu121-x86_64-linux/activation/_activation.abi3.so
ADDED
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Binary file (757 kB). View file
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build/torch24-cxx98-cu124-x86_64-linux/activation/__init__.py
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import torch
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| 3 |
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import activation._activation
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| 4 |
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|
| 5 |
+
def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 6 |
+
torch.ops._activation.silu_and_mul(out, x)
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 10 |
+
torch.ops._activation.gelu_and_mul(out, x)
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 14 |
+
torch.ops._activation.gelu_tanh_and_mul(out, x)
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
def fatrelu_and_mul(out: torch.Tensor,
|
| 18 |
+
x: torch.Tensor,
|
| 19 |
+
threshold: float = 0.0) -> None:
|
| 20 |
+
torch.ops._activation.fatrelu_and_mul(out, x, threshold)
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 24 |
+
torch.ops._activation.gelu_fast(out, x)
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 28 |
+
torch.ops._activation.gelu_new(out, x)
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 32 |
+
torch.ops._activation.gelu_quick(out, x)
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build/torch24-cxx98-cu124-x86_64-linux/activation/_activation.abi3.so
ADDED
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Binary file (798 kB). View file
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build/torch25-cxx11-cu118-x86_64-linux/activation/__init__.py
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| 1 |
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import torch
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| 2 |
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|
| 3 |
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import activation._activation
|
| 4 |
+
|
| 5 |
+
def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 6 |
+
torch.ops._activation.silu_and_mul(out, x)
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 10 |
+
torch.ops._activation.gelu_and_mul(out, x)
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 14 |
+
torch.ops._activation.gelu_tanh_and_mul(out, x)
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
def fatrelu_and_mul(out: torch.Tensor,
|
| 18 |
+
x: torch.Tensor,
|
| 19 |
+
threshold: float = 0.0) -> None:
|
| 20 |
+
torch.ops._activation.fatrelu_and_mul(out, x, threshold)
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 24 |
+
torch.ops._activation.gelu_fast(out, x)
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 28 |
+
torch.ops._activation.gelu_new(out, x)
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 32 |
+
torch.ops._activation.gelu_quick(out, x)
|
build/torch25-cxx11-cu118-x86_64-linux/activation/_activation.abi3.so
ADDED
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Binary file (775 kB). View file
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build/torch25-cxx11-cu121-x86_64-linux/activation/__init__.py
ADDED
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@@ -0,0 +1,32 @@
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|
| 1 |
+
import torch
|
| 2 |
+
|
| 3 |
+
import activation._activation
|
| 4 |
+
|
| 5 |
+
def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 6 |
+
torch.ops._activation.silu_and_mul(out, x)
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 10 |
+
torch.ops._activation.gelu_and_mul(out, x)
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 14 |
+
torch.ops._activation.gelu_tanh_and_mul(out, x)
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
def fatrelu_and_mul(out: torch.Tensor,
|
| 18 |
+
x: torch.Tensor,
|
| 19 |
+
threshold: float = 0.0) -> None:
|
| 20 |
+
torch.ops._activation.fatrelu_and_mul(out, x, threshold)
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 24 |
+
torch.ops._activation.gelu_fast(out, x)
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 28 |
+
torch.ops._activation.gelu_new(out, x)
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 32 |
+
torch.ops._activation.gelu_quick(out, x)
|
build/torch25-cxx11-cu121-x86_64-linux/activation/_activation.abi3.so
ADDED
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Binary file (771 kB). View file
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build/torch25-cxx11-cu124-x86_64-linux/activation/__init__.py
ADDED
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@@ -0,0 +1,32 @@
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|
| 1 |
+
import torch
|
| 2 |
+
|
| 3 |
+
import activation._activation
|
| 4 |
+
|
| 5 |
+
def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 6 |
+
torch.ops._activation.silu_and_mul(out, x)
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 10 |
+
torch.ops._activation.gelu_and_mul(out, x)
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 14 |
+
torch.ops._activation.gelu_tanh_and_mul(out, x)
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
def fatrelu_and_mul(out: torch.Tensor,
|
| 18 |
+
x: torch.Tensor,
|
| 19 |
+
threshold: float = 0.0) -> None:
|
| 20 |
+
torch.ops._activation.fatrelu_and_mul(out, x, threshold)
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 24 |
+
torch.ops._activation.gelu_fast(out, x)
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 28 |
+
torch.ops._activation.gelu_new(out, x)
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 32 |
+
torch.ops._activation.gelu_quick(out, x)
|
build/torch25-cxx11-cu124-x86_64-linux/activation/_activation.abi3.so
ADDED
|
Binary file (808 kB). View file
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build/torch25-cxx98-cu118-x86_64-linux/activation/__init__.py
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
import torch
|
| 2 |
+
|
| 3 |
+
import activation._activation
|
| 4 |
+
|
| 5 |
+
def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 6 |
+
torch.ops._activation.silu_and_mul(out, x)
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 10 |
+
torch.ops._activation.gelu_and_mul(out, x)
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 14 |
+
torch.ops._activation.gelu_tanh_and_mul(out, x)
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
def fatrelu_and_mul(out: torch.Tensor,
|
| 18 |
+
x: torch.Tensor,
|
| 19 |
+
threshold: float = 0.0) -> None:
|
| 20 |
+
torch.ops._activation.fatrelu_and_mul(out, x, threshold)
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 24 |
+
torch.ops._activation.gelu_fast(out, x)
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 28 |
+
torch.ops._activation.gelu_new(out, x)
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 32 |
+
torch.ops._activation.gelu_quick(out, x)
|
build/torch25-cxx98-cu118-x86_64-linux/activation/_activation.abi3.so
ADDED
|
Binary file (761 kB). View file
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build/torch25-cxx98-cu121-x86_64-linux/activation/__init__.py
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
import torch
|
| 2 |
+
|
| 3 |
+
import activation._activation
|
| 4 |
+
|
| 5 |
+
def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 6 |
+
torch.ops._activation.silu_and_mul(out, x)
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 10 |
+
torch.ops._activation.gelu_and_mul(out, x)
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 14 |
+
torch.ops._activation.gelu_tanh_and_mul(out, x)
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
def fatrelu_and_mul(out: torch.Tensor,
|
| 18 |
+
x: torch.Tensor,
|
| 19 |
+
threshold: float = 0.0) -> None:
|
| 20 |
+
torch.ops._activation.fatrelu_and_mul(out, x, threshold)
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 24 |
+
torch.ops._activation.gelu_fast(out, x)
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 28 |
+
torch.ops._activation.gelu_new(out, x)
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 32 |
+
torch.ops._activation.gelu_quick(out, x)
|
build/torch25-cxx98-cu121-x86_64-linux/activation/_activation.abi3.so
ADDED
|
Binary file (757 kB). View file
|
|
|
build/torch25-cxx98-cu124-x86_64-linux/activation/__init__.py
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
|
| 3 |
+
import activation._activation
|
| 4 |
+
|
| 5 |
+
def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 6 |
+
torch.ops._activation.silu_and_mul(out, x)
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 10 |
+
torch.ops._activation.gelu_and_mul(out, x)
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 14 |
+
torch.ops._activation.gelu_tanh_and_mul(out, x)
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
def fatrelu_and_mul(out: torch.Tensor,
|
| 18 |
+
x: torch.Tensor,
|
| 19 |
+
threshold: float = 0.0) -> None:
|
| 20 |
+
torch.ops._activation.fatrelu_and_mul(out, x, threshold)
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 24 |
+
torch.ops._activation.gelu_fast(out, x)
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 28 |
+
torch.ops._activation.gelu_new(out, x)
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
|
| 32 |
+
torch.ops._activation.gelu_quick(out, x)
|
build/torch25-cxx98-cu124-x86_64-linux/activation/_activation.abi3.so
ADDED
|
Binary file (798 kB). View file
|
|
|