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Don't detect local GPU if $DS_IGNORE_CUDA_DETECTION is set #7896

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Merged
tohtana merged 4 commits into from
Mar 24, 2026
Merged

Don't detect local GPU if $DS_IGNORE_CUDA_DETECTION is set #7896

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fda9cea
Don't detect local GPU if `$DS_IGNORE_CUDA_DETECTION` is set
Flamefire Mar 11, 2026
79bffb3
Merge branch 'master' into DS_IGNORE_CUDA_DETECTION-fix
sfc-gh-truwase Mar 12, 2026
6d28a26
Merge branch 'master' into DS_IGNORE_CUDA_DETECTION-fix
tohtana Mar 23, 2026
ad7b7ce
Merge branch 'master' into DS_IGNORE_CUDA_DETECTION-fix
tohtana Mar 24, 2026
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24 changes: 13 additions & 11 deletions op_builder/fp_quantizer.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@

# DeepSpeed Team

import os
try:
from packaging import version as pkg_version
except ImportError:
Expand Down Expand Up @@ -31,19 +32,20 @@ def is_compatible(self, verbose=False):
return False

cuda_okay = True
if not self.is_rocm_pytorch() and torch.cuda.is_available(): #ignore-cuda
sys_cuda_major, _ = installed_cuda_version()
torch_cuda_major = int(torch.version.cuda.split('.')[0])
cuda_capability = torch.cuda.get_device_properties(0).major #ignore-cuda
if cuda_capability < 8:
if verbose:
self.warning("NVIDIA Inference is only supported on Ampere and newer architectures")
cuda_okay = False
if cuda_capability >= 8:
if torch_cuda_major < 11 or sys_cuda_major < 11:
if not os.environ.get("DS_IGNORE_CUDA_DETECTION"):
if not self.is_rocm_pytorch() and torch.cuda.is_available(): #ignore-cuda
sys_cuda_major, _ = installed_cuda_version()
torch_cuda_major = int(torch.version.cuda.split('.')[0])
cuda_capability = torch.cuda.get_device_properties(0).major #ignore-cuda
if cuda_capability < 8:
if verbose:
self.warning("On Ampere and higher architectures please use CUDA 11+")
self.warning("NVIDIA Inference is only supported on Ampere and newer architectures")
cuda_okay = False
if cuda_capability >= 8:
if torch_cuda_major < 11 or sys_cuda_major < 11:
if verbose:
self.warning("On Ampere and higher architectures please use CUDA 11+")
cuda_okay = False

try:
import triton
Expand Down
23 changes: 12 additions & 11 deletions op_builder/inference_core_ops.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -28,19 +28,20 @@ def is_compatible(self, verbose=False):
return False

cuda_okay = True
if not self.is_rocm_pytorch() and torch.cuda.is_available(): #ignore-cuda
sys_cuda_major, _ = installed_cuda_version()
torch_cuda_major = int(torch.version.cuda.split('.')[0])
cuda_capability = torch.cuda.get_device_properties(0).major #ignore-cuda
if cuda_capability < 6:
if verbose:
self.warning("NVIDIA Inference is only supported on Pascal and newer architectures")
cuda_okay = False
if cuda_capability >= 8:
if torch_cuda_major < 11 or sys_cuda_major < 11:
if not os.environ.get("DS_IGNORE_CUDA_DETECTION"):
if not self.is_rocm_pytorch() and torch.cuda.is_available(): #ignore-cuda
sys_cuda_major, _ = installed_cuda_version()
torch_cuda_major = int(torch.version.cuda.split('.')[0])
cuda_capability = torch.cuda.get_device_properties(0).major #ignore-cuda
if cuda_capability < 6:
if verbose:
self.warning("On Ampere and higher architectures please use CUDA 11+")
self.warning("NVIDIA Inference is only supported on Pascal and newer architectures")
cuda_okay = False
if cuda_capability >= 8:
if torch_cuda_major < 11 or sys_cuda_major < 11:
if verbose:
self.warning("On Ampere and higher architectures please use CUDA 11+")
cuda_okay = False
return super().is_compatible(verbose) and cuda_okay

def filter_ccs(self, ccs):
Expand Down
23 changes: 12 additions & 11 deletions op_builder/inference_cutlass_builder.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -27,19 +27,20 @@ def is_compatible(self, verbose=False):
return False

cuda_okay = True
if not self.is_rocm_pytorch() and torch.cuda.is_available(): #ignore-cuda
sys_cuda_major, _ = installed_cuda_version()
torch_cuda_major = int(torch.version.cuda.split('.')[0])
cuda_capability = torch.cuda.get_device_properties(0).major #ignore-cuda
if cuda_capability < 6:
if verbose:
self.warning("NVIDIA Inference is only supported on Pascal and newer architectures")
cuda_okay = False
if cuda_capability >= 8:
if torch_cuda_major < 11 or sys_cuda_major < 11:
if not os.environ.get("DS_IGNORE_CUDA_DETECTION"):
if not self.is_rocm_pytorch() and torch.cuda.is_available(): #ignore-cuda
sys_cuda_major, _ = installed_cuda_version()
torch_cuda_major = int(torch.version.cuda.split('.')[0])
cuda_capability = torch.cuda.get_device_properties(0).major #ignore-cuda
if cuda_capability < 6:
if verbose:
self.warning("On Ampere and higher architectures please use CUDA 11+")
self.warning("NVIDIA Inference is only supported on Pascal and newer architectures")
cuda_okay = False
if cuda_capability >= 8:
if torch_cuda_major < 11 or sys_cuda_major < 11:
if verbose:
self.warning("On Ampere and higher architectures please use CUDA 11+")
cuda_okay = False
return super().is_compatible(verbose) and cuda_okay

def filter_ccs(self, ccs):
Expand Down
23 changes: 12 additions & 11 deletions op_builder/ragged_ops.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -28,19 +28,20 @@ def is_compatible(self, verbose=False):
return False

cuda_okay = True
if not self.is_rocm_pytorch() and torch.cuda.is_available(): #ignore-cuda
sys_cuda_major, _ = installed_cuda_version()
torch_cuda_major = int(torch.version.cuda.split('.')[0])
cuda_capability = torch.cuda.get_device_properties(0).major #ignore-cuda
if cuda_capability < 6:
if verbose:
self.warning("NVIDIA Inference is only supported on Pascal and newer architectures")
cuda_okay = False
if cuda_capability >= 8:
if torch_cuda_major < 11 or sys_cuda_major < 11:
if not os.environ.get("DS_IGNORE_CUDA_DETECTION"):
if not self.is_rocm_pytorch() and torch.cuda.is_available(): #ignore-cuda
sys_cuda_major, _ = installed_cuda_version()
torch_cuda_major = int(torch.version.cuda.split('.')[0])
cuda_capability = torch.cuda.get_device_properties(0).major #ignore-cuda
if cuda_capability < 6:
if verbose:
self.warning("On Ampere and higher architectures please use CUDA 11+")
self.warning("NVIDIA Inference is only supported on Pascal and newer architectures")
cuda_okay = False
if cuda_capability >= 8:
if torch_cuda_major < 11 or sys_cuda_major < 11:
if verbose:
self.warning("On Ampere and higher architectures please use CUDA 11+")
cuda_okay = False
return super().is_compatible(verbose) and cuda_okay

def filter_ccs(self, ccs):
Expand Down
23 changes: 12 additions & 11 deletions op_builder/ragged_utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -28,19 +28,20 @@ def is_compatible(self, verbose=False):
return False

cuda_okay = True
if not self.is_rocm_pytorch() and torch.cuda.is_available(): #ignore-cuda
sys_cuda_major, _ = installed_cuda_version()
torch_cuda_major = int(torch.version.cuda.split('.')[0])
cuda_capability = torch.cuda.get_device_properties(0).major #ignore-cuda
if cuda_capability < 6:
if verbose:
self.warning("NVIDIA Inference is only supported on Pascal and newer architectures")
cuda_okay = False
if cuda_capability >= 8:
if torch_cuda_major < 11 or sys_cuda_major < 11:
if not os.environ.get("DS_IGNORE_CUDA_DETECTION"):
if not self.is_rocm_pytorch() and torch.cuda.is_available(): #ignore-cuda
sys_cuda_major, _ = installed_cuda_version()
torch_cuda_major = int(torch.version.cuda.split('.')[0])
cuda_capability = torch.cuda.get_device_properties(0).major #ignore-cuda
if cuda_capability < 6:
if verbose:
self.warning("On Ampere and higher architectures please use CUDA 11+")
self.warning("NVIDIA Inference is only supported on Pascal and newer architectures")
cuda_okay = False
if cuda_capability >= 8:
if torch_cuda_major < 11 or sys_cuda_major < 11:
if verbose:
self.warning("On Ampere and higher architectures please use CUDA 11+")
cuda_okay = False
return super().is_compatible(verbose) and cuda_okay

def filter_ccs(self, ccs):
Expand Down
20 changes: 11 additions & 9 deletions op_builder/spatial_inference.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@

# DeepSpeed Team

import os
from .builder import CUDAOpBuilder, installed_cuda_version


Expand All @@ -26,15 +27,16 @@ def is_compatible(self, verbose=False):
return False

cuda_okay = True
if not self.is_rocm_pytorch() and torch.cuda.is_available():
sys_cuda_major, _ = installed_cuda_version()
torch_cuda_major = int(torch.version.cuda.split('.')[0])
cuda_capability = torch.cuda.get_device_properties(0).major
if cuda_capability >= 8:
if torch_cuda_major < 11 or sys_cuda_major < 11:
if verbose:
self.warning("On Ampere and higher architectures please use CUDA 11+")
cuda_okay = False
if not os.environ.get("DS_IGNORE_CUDA_DETECTION"):
if not self.is_rocm_pytorch() and torch.cuda.is_available():
sys_cuda_major, _ = installed_cuda_version()
torch_cuda_major = int(torch.version.cuda.split('.')[0])
cuda_capability = torch.cuda.get_device_properties(0).major
if cuda_capability >= 8:
if torch_cuda_major < 11 or sys_cuda_major < 11:
if verbose:
self.warning("On Ampere and higher architectures please use CUDA 11+")
cuda_okay = False
return super().is_compatible(verbose) and cuda_okay

def sources(self):
Expand Down
24 changes: 13 additions & 11 deletions op_builder/transformer_inference.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@

# DeepSpeed Team

import os
from .builder import CUDAOpBuilder, installed_cuda_version


Expand All @@ -26,19 +27,20 @@ def is_compatible(self, verbose=False):
return False

cuda_okay = True
if not self.is_rocm_pytorch() and torch.cuda.is_available():
sys_cuda_major, _ = installed_cuda_version()
torch_cuda_major = int(torch.version.cuda.split('.')[0])
cuda_capability = torch.cuda.get_device_properties(0).major
if cuda_capability < 6:
if verbose:
self.warning("NVIDIA Inference is only supported on Pascal and newer architectures")
cuda_okay = False
if cuda_capability >= 8:
if torch_cuda_major < 11 or sys_cuda_major < 11:
if not os.environ.get("DS_IGNORE_CUDA_DETECTION"):
if not self.is_rocm_pytorch() and torch.cuda.is_available():
sys_cuda_major, _ = installed_cuda_version()
torch_cuda_major = int(torch.version.cuda.split('.')[0])
cuda_capability = torch.cuda.get_device_properties(0).major
if cuda_capability < 6:
if verbose:
self.warning("On Ampere and higher architectures please use CUDA 11+")
self.warning("NVIDIA Inference is only supported on Pascal and newer architectures")
cuda_okay = False
if cuda_capability >= 8:
if torch_cuda_major < 11 or sys_cuda_major < 11:
if verbose:
self.warning("On Ampere and higher architectures please use CUDA 11+")
cuda_okay = False
return super().is_compatible(verbose) and cuda_okay

def filter_ccs(self, ccs):
Expand Down
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