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- .gitattributes +442 -0
- README.md +4 -0
- benchmarks/benchmark.py +28 -0
- build/torch-ext/relu/__init__.py +12 -0
- build/torch-ext/torch_binding.cpp +17 -0
- build/torch-ext/torch_binding.h +5 -0
- build/torch210-cpu-aarch64-darwin/__init__.py +16 -0
- build/torch210-cpu-aarch64-darwin/_ops.py +9 -0
- build/torch210-cpu-aarch64-darwin/_relu_cpu_6261c06.abi3.so +0 -0
- build/torch210-cpu-aarch64-darwin/layers/__init__.py +11 -0
- build/torch210-cpu-aarch64-darwin/metadata.json +5 -0
- build/torch210-cpu-aarch64-darwin/relu/__init__.py +26 -0
- build/torch210-cu128-x86_64-windows/__init__.py +16 -0
- build/torch210-cu128-x86_64-windows/_ops.py +9 -0
- build/torch210-cu128-x86_64-windows/_relu_cuda_fd389c8.pyd +3 -0
- build/torch210-cu128-x86_64-windows/layers/__init__.py +11 -0
- build/torch210-cu128-x86_64-windows/metadata.json +21 -0
- build/torch210-cu128-x86_64-windows/relu/__init__.py +26 -0
- build/torch210-cxx11-cpu-aarch64-linux/__init__.py +16 -0
- build/torch210-cxx11-cpu-aarch64-linux/_ops.py +9 -0
- build/torch210-cxx11-cpu-aarch64-linux/_relu_cpu_918d6dc.abi3.so +3 -0
- build/torch210-cxx11-cpu-aarch64-linux/layers/__init__.py +11 -0
- build/torch210-cxx11-cpu-aarch64-linux/metadata.json +8 -0
- build/torch210-cxx11-cpu-aarch64-linux/relu/__init__.py +26 -0
- build/torch210-cxx11-cpu-x86_64-linux/__init__.py +16 -0
- build/torch210-cxx11-cpu-x86_64-linux/_ops.py +9 -0
- build/torch210-cxx11-cpu-x86_64-linux/_relu_cpu_918d6dc.abi3.so +3 -0
- build/torch210-cxx11-cpu-x86_64-linux/layers/__init__.py +11 -0
- build/torch210-cxx11-cpu-x86_64-linux/metadata.json +8 -0
- build/torch210-cxx11-cpu-x86_64-linux/relu/__init__.py +26 -0
- build/torch210-cxx11-cu126-aarch64-linux/__init__.py +16 -0
- build/torch210-cxx11-cu126-aarch64-linux/_ops.py +9 -0
- build/torch210-cxx11-cu126-aarch64-linux/_relu_cuda_918d6dc.abi3.so +3 -0
- build/torch210-cxx11-cu126-aarch64-linux/layers/__init__.py +11 -0
- build/torch210-cxx11-cu126-aarch64-linux/metadata.json +18 -0
- build/torch210-cxx11-cu126-aarch64-linux/relu/__init__.py +26 -0
- build/torch210-cxx11-cu126-x86_64-linux/__init__.py +16 -0
- build/torch210-cxx11-cu126-x86_64-linux/_ops.py +9 -0
- build/torch210-cxx11-cu126-x86_64-linux/_relu_cuda_918d6dc.abi3.so +3 -0
- build/torch210-cxx11-cu126-x86_64-linux/layers/__init__.py +11 -0
- build/torch210-cxx11-cu126-x86_64-linux/metadata.json +18 -0
- build/torch210-cxx11-cu126-x86_64-linux/relu/__init__.py +26 -0
- build/torch210-cxx11-cu128-aarch64-linux/__init__.py +16 -0
- build/torch210-cxx11-cu128-aarch64-linux/_ops.py +9 -0
- build/torch210-cxx11-cu128-aarch64-linux/_relu_cuda_918d6dc.abi3.so +3 -0
- build/torch210-cxx11-cu128-aarch64-linux/layers/__init__.py +11 -0
- build/torch210-cxx11-cu128-aarch64-linux/metadata.json +21 -0
- build/torch210-cxx11-cu128-aarch64-linux/relu/__init__.py +26 -0
- build/torch210-cxx11-cu128-x86_64-linux/__init__.py +16 -0
- build/torch210-cxx11-cu128-x86_64-linux/_ops.py +9 -0
.gitattributes
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README.md
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---
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tags:
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+
- kernels
|
| 4 |
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---
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benchmarks/benchmark.py
ADDED
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+
import torch
|
| 2 |
+
import torch.nn.functional as F
|
| 3 |
+
|
| 4 |
+
from kernels.benchmark import Benchmark
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
class ReluBenchmark(Benchmark):
|
| 8 |
+
seed: int = 42
|
| 9 |
+
|
| 10 |
+
def setup(self):
|
| 11 |
+
self.x = torch.randn(1024, 1024, device=self.device, dtype=torch.float32)
|
| 12 |
+
self.out = torch.empty_like(self.x)
|
| 13 |
+
|
| 14 |
+
def benchmark_base(self):
|
| 15 |
+
self.out = self.kernel.relu(self.x)
|
| 16 |
+
|
| 17 |
+
def verify_base(self) -> torch.Tensor:
|
| 18 |
+
return F.relu(self.x)
|
| 19 |
+
|
| 20 |
+
def setup_large(self):
|
| 21 |
+
self.x = torch.randn(4096, 4096, device=self.device, dtype=torch.float32)
|
| 22 |
+
self.out = torch.empty_like(self.x)
|
| 23 |
+
|
| 24 |
+
def benchmark_large(self):
|
| 25 |
+
self.out = self.kernel.relu(self.x)
|
| 26 |
+
|
| 27 |
+
def verify_large(self) -> torch.Tensor:
|
| 28 |
+
return F.relu(self.x)
|
build/torch-ext/relu/__init__.py
ADDED
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from typing import Optional
|
| 2 |
+
|
| 3 |
+
import torch
|
| 4 |
+
|
| 5 |
+
from ._ops import ops
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
|
| 9 |
+
if out is None:
|
| 10 |
+
out = torch.empty_like(x)
|
| 11 |
+
ops.relu(out, x)
|
| 12 |
+
return out
|
build/torch-ext/torch_binding.cpp
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#include <torch/library.h>
|
| 2 |
+
|
| 3 |
+
#include "registration.h"
|
| 4 |
+
#include "torch_binding.h"
|
| 5 |
+
|
| 6 |
+
TORCH_LIBRARY_EXPAND(TORCH_EXTENSION_NAME, ops) {
|
| 7 |
+
ops.def("relu(Tensor! out, Tensor input) -> ()");
|
| 8 |
+
#if defined(CUDA_KERNEL) || defined(ROCM_KERNEL)
|
| 9 |
+
ops.impl("relu", torch::kCUDA, &relu);
|
| 10 |
+
#elif defined(METAL_KERNEL)
|
| 11 |
+
ops.impl("relu", torch::kMPS, relu);
|
| 12 |
+
#elif defined(XPU_KERNEL)
|
| 13 |
+
ops.impl("relu", torch::kXPU, &relu);
|
| 14 |
+
#endif
|
| 15 |
+
}
|
| 16 |
+
|
| 17 |
+
REGISTER_EXTENSION(TORCH_EXTENSION_NAME)
|
build/torch-ext/torch_binding.h
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#pragma once
|
| 2 |
+
|
| 3 |
+
#include <torch/torch.h>
|
| 4 |
+
|
| 5 |
+
void relu(torch::Tensor &out, torch::Tensor const &input);
|
build/torch210-cpu-aarch64-darwin/__init__.py
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from typing import Optional
|
| 2 |
+
|
| 3 |
+
import torch
|
| 4 |
+
|
| 5 |
+
from ._ops import ops
|
| 6 |
+
|
| 7 |
+
from . import layers
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
|
| 11 |
+
if out is None:
|
| 12 |
+
out = torch.empty_like(x)
|
| 13 |
+
ops.relu(out, x)
|
| 14 |
+
return out
|
| 15 |
+
|
| 16 |
+
__all__ = ["relu", "layers"]
|
build/torch210-cpu-aarch64-darwin/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _relu_cpu_6261c06
|
| 3 |
+
ops = torch.ops._relu_cpu_6261c06
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_relu_cpu_6261c06::{op_name}"
|
build/torch210-cpu-aarch64-darwin/_relu_cpu_6261c06.abi3.so
ADDED
|
Binary file (80 kB). View file
|
|
|
build/torch210-cpu-aarch64-darwin/layers/__init__.py
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from .._ops import ops
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
class ReLU(nn.Module):
|
| 8 |
+
def forward(self, x: torch.Tensor) -> torch.Tensor:
|
| 9 |
+
out = torch.empty_like(x)
|
| 10 |
+
ops.relu(out, x)
|
| 11 |
+
return out
|
build/torch210-cpu-aarch64-darwin/metadata.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"version": 1,
|
| 3 |
+
"license": "Apache-2.0",
|
| 4 |
+
"python-depends": []
|
| 5 |
+
}
|
build/torch210-cpu-aarch64-darwin/relu/__init__.py
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import ctypes
|
| 2 |
+
import sys
|
| 3 |
+
|
| 4 |
+
import importlib
|
| 5 |
+
from pathlib import Path
|
| 6 |
+
from types import ModuleType
|
| 7 |
+
|
| 8 |
+
def _import_from_path(file_path: Path) -> ModuleType:
|
| 9 |
+
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
+
# it would also be used for other imports. So, we make a module name that
|
| 11 |
+
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
+
# the path.
|
| 13 |
+
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
+
module_name = path_hash
|
| 15 |
+
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
+
if spec is None:
|
| 17 |
+
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
+
module = importlib.util.module_from_spec(spec)
|
| 19 |
+
if module is None:
|
| 20 |
+
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
+
sys.modules[module_name] = module
|
| 22 |
+
spec.loader.exec_module(module) # type: ignore
|
| 23 |
+
return module
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
|
build/torch210-cu128-x86_64-windows/__init__.py
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from typing import Optional
|
| 2 |
+
|
| 3 |
+
import torch
|
| 4 |
+
|
| 5 |
+
from ._ops import ops
|
| 6 |
+
|
| 7 |
+
from . import layers
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
|
| 11 |
+
if out is None:
|
| 12 |
+
out = torch.empty_like(x)
|
| 13 |
+
ops.relu(out, x)
|
| 14 |
+
return out
|
| 15 |
+
|
| 16 |
+
__all__ = ["relu", "layers"]
|
build/torch210-cu128-x86_64-windows/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _relu_cuda_fd389c8
|
| 3 |
+
ops = torch.ops._relu_cuda_fd389c8
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_relu_cuda_fd389c8::{op_name}"
|
build/torch210-cu128-x86_64-windows/_relu_cuda_fd389c8.pyd
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af9e521d3ea13ea0f2fb410c1e458f0753ea7b277e0ccfdf6102ace1f8e2696b
|
| 3 |
+
size 203264
|
build/torch210-cu128-x86_64-windows/layers/__init__.py
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from .._ops import ops
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
class ReLU(nn.Module):
|
| 8 |
+
def forward(self, x: torch.Tensor) -> torch.Tensor:
|
| 9 |
+
out = torch.empty_like(x)
|
| 10 |
+
ops.relu(out, x)
|
| 11 |
+
return out
|
build/torch210-cu128-x86_64-windows/metadata.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"version": 1,
|
| 3 |
+
"license": "Apache-2.0",
|
| 4 |
+
"python-depends": [],
|
| 5 |
+
"backend": {
|
| 6 |
+
"type": "cuda",
|
| 7 |
+
"archs": [
|
| 8 |
+
"10.0",
|
| 9 |
+
"10.1",
|
| 10 |
+
"12.0+PTX",
|
| 11 |
+
"7.0",
|
| 12 |
+
"7.2",
|
| 13 |
+
"7.5",
|
| 14 |
+
"8.0",
|
| 15 |
+
"8.6",
|
| 16 |
+
"8.7",
|
| 17 |
+
"8.9",
|
| 18 |
+
"9.0"
|
| 19 |
+
]
|
| 20 |
+
}
|
| 21 |
+
}
|
build/torch210-cu128-x86_64-windows/relu/__init__.py
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import ctypes
|
| 2 |
+
import sys
|
| 3 |
+
|
| 4 |
+
import importlib
|
| 5 |
+
from pathlib import Path
|
| 6 |
+
from types import ModuleType
|
| 7 |
+
|
| 8 |
+
def _import_from_path(file_path: Path) -> ModuleType:
|
| 9 |
+
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
+
# it would also be used for other imports. So, we make a module name that
|
| 11 |
+
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
+
# the path.
|
| 13 |
+
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
+
module_name = path_hash
|
| 15 |
+
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
+
if spec is None:
|
| 17 |
+
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
+
module = importlib.util.module_from_spec(spec)
|
| 19 |
+
if module is None:
|
| 20 |
+
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
+
sys.modules[module_name] = module
|
| 22 |
+
spec.loader.exec_module(module) # type: ignore
|
| 23 |
+
return module
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
|
build/torch210-cxx11-cpu-aarch64-linux/__init__.py
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from typing import Optional
|
| 2 |
+
|
| 3 |
+
import torch
|
| 4 |
+
|
| 5 |
+
from ._ops import ops
|
| 6 |
+
|
| 7 |
+
from . import layers
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
|
| 11 |
+
if out is None:
|
| 12 |
+
out = torch.empty_like(x)
|
| 13 |
+
ops.relu(out, x)
|
| 14 |
+
return out
|
| 15 |
+
|
| 16 |
+
__all__ = ["relu", "layers"]
|
build/torch210-cxx11-cpu-aarch64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _relu_cpu_918d6dc
|
| 3 |
+
ops = torch.ops._relu_cpu_918d6dc
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_relu_cpu_918d6dc::{op_name}"
|
build/torch210-cxx11-cpu-aarch64-linux/_relu_cpu_918d6dc.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:910c8d2d40ffb2bbf7b4bade6dae4b7e6160668cec32379d6a33feea7b2a76ab
|
| 3 |
+
size 2025352
|
build/torch210-cxx11-cpu-aarch64-linux/layers/__init__.py
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from .._ops import ops
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
class ReLU(nn.Module):
|
| 8 |
+
def forward(self, x: torch.Tensor) -> torch.Tensor:
|
| 9 |
+
out = torch.empty_like(x)
|
| 10 |
+
ops.relu(out, x)
|
| 11 |
+
return out
|
build/torch210-cxx11-cpu-aarch64-linux/metadata.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"version": 1,
|
| 3 |
+
"license": "Apache-2.0",
|
| 4 |
+
"python-depends": [],
|
| 5 |
+
"backend": {
|
| 6 |
+
"type": "cpu"
|
| 7 |
+
}
|
| 8 |
+
}
|
build/torch210-cxx11-cpu-aarch64-linux/relu/__init__.py
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import ctypes
|
| 2 |
+
import importlib.util
|
| 3 |
+
import sys
|
| 4 |
+
from pathlib import Path
|
| 5 |
+
from types import ModuleType
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
def _import_from_path(file_path: Path) -> ModuleType:
|
| 9 |
+
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
+
# it would also be used for other imports. So, we make a module name that
|
| 11 |
+
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
+
# the path.
|
| 13 |
+
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
+
module_name = path_hash
|
| 15 |
+
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
+
if spec is None:
|
| 17 |
+
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
+
module = importlib.util.module_from_spec(spec)
|
| 19 |
+
if module is None:
|
| 20 |
+
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
+
sys.modules[module_name] = module
|
| 22 |
+
spec.loader.exec_module(module) # type: ignore
|
| 23 |
+
return module
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
|
build/torch210-cxx11-cpu-x86_64-linux/__init__.py
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from typing import Optional
|
| 2 |
+
|
| 3 |
+
import torch
|
| 4 |
+
|
| 5 |
+
from ._ops import ops
|
| 6 |
+
|
| 7 |
+
from . import layers
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
|
| 11 |
+
if out is None:
|
| 12 |
+
out = torch.empty_like(x)
|
| 13 |
+
ops.relu(out, x)
|
| 14 |
+
return out
|
| 15 |
+
|
| 16 |
+
__all__ = ["relu", "layers"]
|
build/torch210-cxx11-cpu-x86_64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _relu_cpu_918d6dc
|
| 3 |
+
ops = torch.ops._relu_cpu_918d6dc
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_relu_cpu_918d6dc::{op_name}"
|
build/torch210-cxx11-cpu-x86_64-linux/_relu_cpu_918d6dc.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c99aa1351f9dee4fb48914cd4f1ef7af3ca33be603253ba798f02e78152f7614
|
| 3 |
+
size 1778080
|
build/torch210-cxx11-cpu-x86_64-linux/layers/__init__.py
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from .._ops import ops
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
class ReLU(nn.Module):
|
| 8 |
+
def forward(self, x: torch.Tensor) -> torch.Tensor:
|
| 9 |
+
out = torch.empty_like(x)
|
| 10 |
+
ops.relu(out, x)
|
| 11 |
+
return out
|
build/torch210-cxx11-cpu-x86_64-linux/metadata.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"version": 1,
|
| 3 |
+
"license": "Apache-2.0",
|
| 4 |
+
"python-depends": [],
|
| 5 |
+
"backend": {
|
| 6 |
+
"type": "cpu"
|
| 7 |
+
}
|
| 8 |
+
}
|
build/torch210-cxx11-cpu-x86_64-linux/relu/__init__.py
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import ctypes
|
| 2 |
+
import importlib.util
|
| 3 |
+
import sys
|
| 4 |
+
from pathlib import Path
|
| 5 |
+
from types import ModuleType
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
def _import_from_path(file_path: Path) -> ModuleType:
|
| 9 |
+
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
+
# it would also be used for other imports. So, we make a module name that
|
| 11 |
+
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
+
# the path.
|
| 13 |
+
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
+
module_name = path_hash
|
| 15 |
+
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
+
if spec is None:
|
| 17 |
+
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
+
module = importlib.util.module_from_spec(spec)
|
| 19 |
+
if module is None:
|
| 20 |
+
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
+
sys.modules[module_name] = module
|
| 22 |
+
spec.loader.exec_module(module) # type: ignore
|
| 23 |
+
return module
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
|
build/torch210-cxx11-cu126-aarch64-linux/__init__.py
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from typing import Optional
|
| 2 |
+
|
| 3 |
+
import torch
|
| 4 |
+
|
| 5 |
+
from ._ops import ops
|
| 6 |
+
|
| 7 |
+
from . import layers
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
|
| 11 |
+
if out is None:
|
| 12 |
+
out = torch.empty_like(x)
|
| 13 |
+
ops.relu(out, x)
|
| 14 |
+
return out
|
| 15 |
+
|
| 16 |
+
__all__ = ["relu", "layers"]
|
build/torch210-cxx11-cu126-aarch64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _relu_cuda_918d6dc
|
| 3 |
+
ops = torch.ops._relu_cuda_918d6dc
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_relu_cuda_918d6dc::{op_name}"
|
build/torch210-cxx11-cu126-aarch64-linux/_relu_cuda_918d6dc.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:72fb0ad68cd5fc3d5a911caf26118921fe87457938a01c174bca796036fca14d
|
| 3 |
+
size 2103912
|
build/torch210-cxx11-cu126-aarch64-linux/layers/__init__.py
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from .._ops import ops
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
class ReLU(nn.Module):
|
| 8 |
+
def forward(self, x: torch.Tensor) -> torch.Tensor:
|
| 9 |
+
out = torch.empty_like(x)
|
| 10 |
+
ops.relu(out, x)
|
| 11 |
+
return out
|
build/torch210-cxx11-cu126-aarch64-linux/metadata.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"version": 1,
|
| 3 |
+
"license": "Apache-2.0",
|
| 4 |
+
"python-depends": [],
|
| 5 |
+
"backend": {
|
| 6 |
+
"type": "cuda",
|
| 7 |
+
"archs": [
|
| 8 |
+
"7.0",
|
| 9 |
+
"7.2",
|
| 10 |
+
"7.5",
|
| 11 |
+
"8.0",
|
| 12 |
+
"8.6",
|
| 13 |
+
"8.7",
|
| 14 |
+
"8.9",
|
| 15 |
+
"9.0+PTX"
|
| 16 |
+
]
|
| 17 |
+
}
|
| 18 |
+
}
|
build/torch210-cxx11-cu126-aarch64-linux/relu/__init__.py
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import ctypes
|
| 2 |
+
import importlib.util
|
| 3 |
+
import sys
|
| 4 |
+
from pathlib import Path
|
| 5 |
+
from types import ModuleType
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
def _import_from_path(file_path: Path) -> ModuleType:
|
| 9 |
+
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
+
# it would also be used for other imports. So, we make a module name that
|
| 11 |
+
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
+
# the path.
|
| 13 |
+
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
+
module_name = path_hash
|
| 15 |
+
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
+
if spec is None:
|
| 17 |
+
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
+
module = importlib.util.module_from_spec(spec)
|
| 19 |
+
if module is None:
|
| 20 |
+
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
+
sys.modules[module_name] = module
|
| 22 |
+
spec.loader.exec_module(module) # type: ignore
|
| 23 |
+
return module
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
|
build/torch210-cxx11-cu126-x86_64-linux/__init__.py
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from typing import Optional
|
| 2 |
+
|
| 3 |
+
import torch
|
| 4 |
+
|
| 5 |
+
from ._ops import ops
|
| 6 |
+
|
| 7 |
+
from . import layers
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
|
| 11 |
+
if out is None:
|
| 12 |
+
out = torch.empty_like(x)
|
| 13 |
+
ops.relu(out, x)
|
| 14 |
+
return out
|
| 15 |
+
|
| 16 |
+
__all__ = ["relu", "layers"]
|
build/torch210-cxx11-cu126-x86_64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _relu_cuda_918d6dc
|
| 3 |
+
ops = torch.ops._relu_cuda_918d6dc
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_relu_cuda_918d6dc::{op_name}"
|
build/torch210-cxx11-cu126-x86_64-linux/_relu_cuda_918d6dc.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9edb80faf33bee9de68a7b74077c8650286a0774914127d7115d1a90092e6803
|
| 3 |
+
size 2019880
|
build/torch210-cxx11-cu126-x86_64-linux/layers/__init__.py
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from .._ops import ops
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
class ReLU(nn.Module):
|
| 8 |
+
def forward(self, x: torch.Tensor) -> torch.Tensor:
|
| 9 |
+
out = torch.empty_like(x)
|
| 10 |
+
ops.relu(out, x)
|
| 11 |
+
return out
|
build/torch210-cxx11-cu126-x86_64-linux/metadata.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"version": 1,
|
| 3 |
+
"license": "Apache-2.0",
|
| 4 |
+
"python-depends": [],
|
| 5 |
+
"backend": {
|
| 6 |
+
"type": "cuda",
|
| 7 |
+
"archs": [
|
| 8 |
+
"7.0",
|
| 9 |
+
"7.2",
|
| 10 |
+
"7.5",
|
| 11 |
+
"8.0",
|
| 12 |
+
"8.6",
|
| 13 |
+
"8.7",
|
| 14 |
+
"8.9",
|
| 15 |
+
"9.0+PTX"
|
| 16 |
+
]
|
| 17 |
+
}
|
| 18 |
+
}
|
build/torch210-cxx11-cu126-x86_64-linux/relu/__init__.py
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import ctypes
|
| 2 |
+
import importlib.util
|
| 3 |
+
import sys
|
| 4 |
+
from pathlib import Path
|
| 5 |
+
from types import ModuleType
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
def _import_from_path(file_path: Path) -> ModuleType:
|
| 9 |
+
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
+
# it would also be used for other imports. So, we make a module name that
|
| 11 |
+
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
+
# the path.
|
| 13 |
+
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
+
module_name = path_hash
|
| 15 |
+
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
+
if spec is None:
|
| 17 |
+
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
+
module = importlib.util.module_from_spec(spec)
|
| 19 |
+
if module is None:
|
| 20 |
+
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
+
sys.modules[module_name] = module
|
| 22 |
+
spec.loader.exec_module(module) # type: ignore
|
| 23 |
+
return module
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
|
build/torch210-cxx11-cu128-aarch64-linux/__init__.py
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from typing import Optional
|
| 2 |
+
|
| 3 |
+
import torch
|
| 4 |
+
|
| 5 |
+
from ._ops import ops
|
| 6 |
+
|
| 7 |
+
from . import layers
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
|
| 11 |
+
if out is None:
|
| 12 |
+
out = torch.empty_like(x)
|
| 13 |
+
ops.relu(out, x)
|
| 14 |
+
return out
|
| 15 |
+
|
| 16 |
+
__all__ = ["relu", "layers"]
|
build/torch210-cxx11-cu128-aarch64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _relu_cuda_918d6dc
|
| 3 |
+
ops = torch.ops._relu_cuda_918d6dc
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_relu_cuda_918d6dc::{op_name}"
|
build/torch210-cxx11-cu128-aarch64-linux/_relu_cuda_918d6dc.abi3.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ad7917e6994838799623905d6a42f6090ee6b827d4370673e7fdebb84caf8667
|
| 3 |
+
size 2235240
|
build/torch210-cxx11-cu128-aarch64-linux/layers/__init__.py
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import torch.nn as nn
|
| 3 |
+
|
| 4 |
+
from .._ops import ops
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
class ReLU(nn.Module):
|
| 8 |
+
def forward(self, x: torch.Tensor) -> torch.Tensor:
|
| 9 |
+
out = torch.empty_like(x)
|
| 10 |
+
ops.relu(out, x)
|
| 11 |
+
return out
|
build/torch210-cxx11-cu128-aarch64-linux/metadata.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"version": 1,
|
| 3 |
+
"license": "Apache-2.0",
|
| 4 |
+
"python-depends": [],
|
| 5 |
+
"backend": {
|
| 6 |
+
"type": "cuda",
|
| 7 |
+
"archs": [
|
| 8 |
+
"10.0",
|
| 9 |
+
"10.1",
|
| 10 |
+
"12.0+PTX",
|
| 11 |
+
"7.0",
|
| 12 |
+
"7.2",
|
| 13 |
+
"7.5",
|
| 14 |
+
"8.0",
|
| 15 |
+
"8.6",
|
| 16 |
+
"8.7",
|
| 17 |
+
"8.9",
|
| 18 |
+
"9.0"
|
| 19 |
+
]
|
| 20 |
+
}
|
| 21 |
+
}
|
build/torch210-cxx11-cu128-aarch64-linux/relu/__init__.py
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import ctypes
|
| 2 |
+
import importlib.util
|
| 3 |
+
import sys
|
| 4 |
+
from pathlib import Path
|
| 5 |
+
from types import ModuleType
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
def _import_from_path(file_path: Path) -> ModuleType:
|
| 9 |
+
# We cannot use the module name as-is, after adding it to `sys.modules`,
|
| 10 |
+
# it would also be used for other imports. So, we make a module name that
|
| 11 |
+
# depends on the path for it to be unique using the hex-encoded hash of
|
| 12 |
+
# the path.
|
| 13 |
+
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
|
| 14 |
+
module_name = path_hash
|
| 15 |
+
spec = importlib.util.spec_from_file_location(module_name, file_path)
|
| 16 |
+
if spec is None:
|
| 17 |
+
raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
|
| 18 |
+
module = importlib.util.module_from_spec(spec)
|
| 19 |
+
if module is None:
|
| 20 |
+
raise ImportError(f"Cannot load module {module_name} from spec")
|
| 21 |
+
sys.modules[module_name] = module
|
| 22 |
+
spec.loader.exec_module(module) # type: ignore
|
| 23 |
+
return module
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
|
build/torch210-cxx11-cu128-x86_64-linux/__init__.py
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from typing import Optional
|
| 2 |
+
|
| 3 |
+
import torch
|
| 4 |
+
|
| 5 |
+
from ._ops import ops
|
| 6 |
+
|
| 7 |
+
from . import layers
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
|
| 11 |
+
if out is None:
|
| 12 |
+
out = torch.empty_like(x)
|
| 13 |
+
ops.relu(out, x)
|
| 14 |
+
return out
|
| 15 |
+
|
| 16 |
+
__all__ = ["relu", "layers"]
|
build/torch210-cxx11-cu128-x86_64-linux/_ops.py
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from . import _relu_cuda_918d6dc
|
| 3 |
+
ops = torch.ops._relu_cuda_918d6dc
|
| 4 |
+
|
| 5 |
+
def add_op_namespace_prefix(op_name: str):
|
| 6 |
+
"""
|
| 7 |
+
Prefix op by namespace.
|
| 8 |
+
"""
|
| 9 |
+
return f"_relu_cuda_918d6dc::{op_name}"
|