drbh commited on
Commit ·
4b436b7
1
Parent(s): f9791fd
feat: add build dir
Browse files- .gitignore +1 -1
- build/torch210-metal-aarch64-darwin/__init__.py +12 -0
- build/torch210-metal-aarch64-darwin/_first_kernel_metal_c46b1d4_dirty.abi3.so +3 -0
- build/torch210-metal-aarch64-darwin/_ops.py +9 -0
- build/torch210-metal-aarch64-darwin/first_kernel/__init__.py +26 -0
- build/torch210-metal-aarch64-darwin/metadata.json +4 -0
- build/torch29-metal-aarch64-darwin/__init__.py +12 -0
- build/torch29-metal-aarch64-darwin/_first_kernel_metal_c46b1d4_dirty.abi3.so +3 -0
- build/torch29-metal-aarch64-darwin/_ops.py +9 -0
- build/torch29-metal-aarch64-darwin/first_kernel/__init__.py +26 -0
- build/torch29-metal-aarch64-darwin/metadata.json +4 -0
.gitignore
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-
build
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# build
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build/torch210-metal-aarch64-darwin/__init__.py
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from typing import Optional
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import torch
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from ._ops import ops
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def first_kernel(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
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if out is None:
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out = torch.empty_like(x)
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ops.first_kernel(out, x)
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return out
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build/torch210-metal-aarch64-darwin/_first_kernel_metal_c46b1d4_dirty.abi3.so
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version https://git-lfs.github.com/spec/v1
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oid sha256:183370f8822e588aeef3d8e7ade433f7bc7d46e3067876a3f72c0256a0b4e9b4
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size 82712
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build/torch210-metal-aarch64-darwin/_ops.py
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import torch
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from . import _first_kernel_metal_c46b1d4_dirty
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ops = torch.ops._first_kernel_metal_c46b1d4_dirty
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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"_first_kernel_metal_c46b1d4_dirty::{op_name}"
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build/torch210-metal-aarch64-darwin/first_kernel/__init__.py
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import ctypes
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import sys
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import importlib
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from pathlib import Path
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from types import ModuleType
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def _import_from_path(file_path: Path) -> ModuleType:
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# We cannot use the module name as-is, after adding it to `sys.modules`,
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# it would also be used for other imports. So, we make a module name that
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# depends on the path for it to be unique using the hex-encoded hash of
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# the path.
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path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
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module_name = path_hash
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spec = importlib.util.spec_from_file_location(module_name, file_path)
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if spec is None:
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raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
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module = importlib.util.module_from_spec(spec)
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if module is None:
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raise ImportError(f"Cannot load module {module_name} from spec")
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sys.modules[module_name] = module
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spec.loader.exec_module(module) # type: ignore
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return module
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globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
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build/torch210-metal-aarch64-darwin/metadata.json
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{
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"version": 1,
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"python-depends": []
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}
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build/torch29-metal-aarch64-darwin/__init__.py
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from typing import Optional
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import torch
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from ._ops import ops
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def first_kernel(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
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if out is None:
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out = torch.empty_like(x)
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ops.first_kernel(out, x)
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return out
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build/torch29-metal-aarch64-darwin/_first_kernel_metal_c46b1d4_dirty.abi3.so
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version https://git-lfs.github.com/spec/v1
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oid sha256:9338d48c07b3e717abf0fff3c0f1817dcaeb5309b8414a2be33da3d9ebfd7216
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size 81752
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build/torch29-metal-aarch64-darwin/_ops.py
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import torch
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from . import _first_kernel_metal_c46b1d4_dirty
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ops = torch.ops._first_kernel_metal_c46b1d4_dirty
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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"_first_kernel_metal_c46b1d4_dirty::{op_name}"
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build/torch29-metal-aarch64-darwin/first_kernel/__init__.py
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import ctypes
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import sys
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import importlib
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from pathlib import Path
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from types import ModuleType
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def _import_from_path(file_path: Path) -> ModuleType:
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# We cannot use the module name as-is, after adding it to `sys.modules`,
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| 10 |
+
# it would also be used for other imports. So, we make a module name that
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| 11 |
+
# depends on the path for it to be unique using the hex-encoded hash of
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+
# the path.
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+
path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
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module_name = path_hash
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spec = importlib.util.spec_from_file_location(module_name, file_path)
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if spec is None:
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raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
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module = importlib.util.module_from_spec(spec)
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if module is None:
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raise ImportError(f"Cannot load module {module_name} from spec")
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sys.modules[module_name] = module
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spec.loader.exec_module(module) # type: ignore
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return module
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globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
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build/torch29-metal-aarch64-darwin/metadata.json
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{
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"version": 1,
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"python-depends": []
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}
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