Dummy CI run. (#1817)
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@ -33,7 +33,12 @@ from text_generation_server.utils import StoppingCriteria, HeterogeneousNextToke
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from text_generation_server.utils.dist import MEMORY_FRACTION
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tracer = trace.get_tracer(__name__)
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from text_generation_server.utils.import_utils import IS_CUDA_SYSTEM, IS_ROCM_SYSTEM, IS_XPU_SYSTEM
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from text_generation_server.utils.import_utils import (
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IS_CUDA_SYSTEM,
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IS_ROCM_SYSTEM,
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IS_XPU_SYSTEM,
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)
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@dataclass
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class FlashCausalLMBatch(Batch):
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@ -788,14 +793,16 @@ class FlashCausalLM(Model):
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if IS_CUDA_SYSTEM or IS_ROCM_SYSTEM:
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total_free_memory, _ = torch.cuda.mem_get_info(self.device)
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total_gpu_memory = torch.cuda.get_device_properties(self.device).total_memory
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total_gpu_memory = torch.cuda.get_device_properties(
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self.device
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).total_memory
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free_memory = max(
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0, total_free_memory - (1 - MEMORY_FRACTION) * total_gpu_memory
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)
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elif IS_XPU_SYSTEM:
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total_gpu_memory = torch.xpu.get_device_properties(self.device).total_memory
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free_memory = int(total_gpu_memory *0.5)
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free_memory = int(total_gpu_memory * 0.5)
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else:
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raise NotImplementedError("FlashModel is only available on GPU")
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@ -20,6 +20,7 @@ tracer = trace.get_tracer(__name__)
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from text_generation_server.utils.import_utils import IS_XPU_SYSTEM
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class FlashLlama(FlashCausalLM):
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def __init__(
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self,
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@ -15,6 +15,7 @@ from text_generation_server.utils import (
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Weights,
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)
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from text_generation_server.utils.import_utils import IS_XPU_SYSTEM
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tracer = trace.get_tracer(__name__)
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@ -16,6 +16,7 @@ from text_generation_server.utils import (
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Weights,
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)
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from text_generation_server.utils.import_utils import IS_XPU_SYSTEM
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tracer = trace.get_tracer(__name__)
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@ -19,6 +19,7 @@ from text_generation_server.utils import (
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)
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from text_generation_server.utils.import_utils import IS_XPU_SYSTEM
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tracer = trace.get_tracer(__name__)
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@ -1,5 +1,6 @@
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import torch
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def is_xpu_available():
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try:
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import intel_extension_for_pytorch
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@ -8,6 +9,7 @@ def is_xpu_available():
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return hasattr(torch, "xpu") and torch.xpu.is_available()
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IS_ROCM_SYSTEM = torch.version.hip is not None
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IS_CUDA_SYSTEM = torch.version.cuda is not None
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IS_XPU_SYSTEM = is_xpu_available()
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@ -8,6 +8,7 @@ from typing import List, Tuple, Optional
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from loguru import logger
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from functools import lru_cache
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# Dummy comment.
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HAS_BITS_AND_BYTES = True
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try:
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import bitsandbytes as bnb
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