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# Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: BSD-3-Clause
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
# 3. Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
from importlib.util import find_spec
class GlobalOptions:
"""
Singleton class that configures global options for CUTLASS API.
This can be used to enable or disable certain features of the API. For example,
the user can enable TVM-FFI support to allow for the use of framework-level tensors
at run time.
Example:
```python
GlobalOptions().use_tvm_ffi = True
```
"""
_instance = None
def __new__(cls):
"""
Create a new singleton instance of the GlobalOptions class only once.
"""
if cls._instance is None:
cls._instance = super().__new__(cls)
has_tvm_ffi = find_spec("tvm_ffi") is not None
cls._instance._options = {
"use_tvm_ffi": has_tvm_ffi,
}
return cls._instance
@property
def use_tvm_ffi(self) -> bool:
"""
Check if TVM FFI support is enabled.
Default: True if `tvm_ffi` is installed.
When enabled, conversions from DLPack compatible tensors to cute.Tensor is via TVM FFI.
Additionally, invoking the compiled kernel happens via TVM FFI.
Both can offer significant (3x-10x) speedups.
Dependencies:
- Required: `tvm_ffi` (pip install apache-tvm-ffi)
- Optional: `torch_c_dlpack_ext` (pip install torch-c-dlpack-ext)
"""
return self._options["use_tvm_ffi"]
@use_tvm_ffi.setter
def use_tvm_ffi(self, value: bool) -> None:
if value and not find_spec("tvm_ffi"):
raise ImportError(
"TVM FFI is not installed, please install it via `pip install apache-tvm-ffi`."
)
self._options["use_tvm_ffi"] = value