Torch 2.1
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2 changed files with 39 additions and 29 deletions
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@ -12,5 +12,44 @@
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# See the License for the specific language governing permissions and
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# limitations under the License.
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__version__ = "2023.11"
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import os
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try:
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import torch
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except:
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raise ImportError("Pytorch is not installed. Go to https://pytorch.org/.\n"\
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"We have some installation instructions on our Github page.")
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# We only support torch 2.1
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major_torch, minor_torch, _ = torch.__version__.split(".")
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major_torch, minor_torch = int(major_torch), int(minor_torch)
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if (major_torch != 2) or (major_torch == 2 and minor_torch < 1):
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raise ImportError("Unsloth only supports Pytorch 2.1 for now. Please update your Pytorch to 2.1.\n"\
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"We have some installation instructions on our Github page.")
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# Currently only supports 1 GPU, or else seg faults will occur.
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reload_package = False
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n_gpus = torch.cuda.device_count()
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if n_gpus == 0:
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raise RuntimeError("Unsloth: Requires at least 1 GPU. Found 0.")
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elif n_gpus > 1:
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if "CUDA_VISIBLE_DEVICES" in os.environ:
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device = os.environ["CUDA_VISIBLE_DEVICES"]
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if not device.isdigit():
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print(f"Unsloth: 'CUDA_VISIBLE_DEVICES' is currently {device} "\
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"but we require 'CUDA_VISIBLE_DEVICES=0'\n"\
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"We shall set it ourselves.")
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os.environ["CUDA_VISIBLE_DEVICES"] = "0"
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reload_package = True
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else:
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print("Unsloth: 'CUDA_VISIBLE_DEVICES' is not set. We shall set it ourselves.")
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os.environ["CUDA_VISIBLE_DEVICES"] = "0"
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reload_package = True
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pass
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# Reload Pytorch with CUDA_VISIBLE_DEVICES
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if reload_package:
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import importlib
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importlib.reload(torch)
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pass
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from .models import *
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@ -12,33 +12,4 @@
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import torch
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import os
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# Currently only supports 1 GPU, or else seg faults will occur.
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reload_package = False
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n_gpus = torch.cuda.device_count()
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if n_gpus == 0:
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raise RuntimeError("Unsloth: Requires at least 1 GPU. Found 0.")
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elif n_gpus > 1:
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if "CUDA_VISIBLE_DEVICES" in os.environ:
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device = os.environ["CUDA_VISIBLE_DEVICES"]
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if not device.isdigit():
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print(f"Unsloth: 'CUDA_VISIBLE_DEVICES' is currently {device} "\
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"but we require 'CUDA_VISIBLE_DEVICES=0'\n"\
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"We shall set it ourselves.")
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os.environ["CUDA_VISIBLE_DEVICES"] = "0"
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reload_package = True
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else:
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print("Unsloth: 'CUDA_VISIBLE_DEVICES' is not set. We shall set it ourselves.")
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os.environ["CUDA_VISIBLE_DEVICES"] = "0"
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reload_package = True
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pass
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# Reload Pytorch with CUDA_VISIBLE_DEVICES
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if reload_package:
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import importlib
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importlib.reload(torch)
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pass
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from .llama import FastLlamaModel
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