infer/modules/ipex/__init__.py

import os
import sys
import contextlib
import torch
import intel_extension_for_pytorch as ipex  # pylint: disable=import-error, unused-import
from .hijacks import ipex_hijacks
from .attention import attention_init

# pylint: disable=protected-access, missing-function-docstring, line-too-long


def ipex_init():  # pylint: disable=too-many-statements
    try:
        # Replace cuda with xpu:
        torch.cuda.current_device = torch.xpu.current_device
        torch.cuda.current_stream = torch.xpu.current_stream
        torch.cuda.device = torch.xpu.device
        torch.cuda.device_count = torch.xpu.device_count
        torch.cuda.device_of = torch.xpu.device_of
        torch.cuda.get_device_name = torch.xpu.get_device_name
        torch.cuda.get_device_properties = torch.xpu.get_device_properties
        torch.cuda.init = torch.xpu.init
        torch.cuda.is_available = torch.xpu.is_available
        torch.cuda.is_initialized = torch.xpu.is_initialized
        torch.cuda.is_current_stream_capturing = lambda: False
        torch.cuda.set_device = torch.xpu.set_device
        torch.cuda.stream = torch.xpu.stream
        torch.cuda.synchronize = torch.xpu.synchronize
        torch.cuda.Event = torch.xpu.Event
        torch.cuda.Stream = torch.xpu.Stream
        torch.cuda.FloatTensor = torch.xpu.FloatTensor
        torch.Tensor.cuda = torch.Tensor.xpu
        torch.Tensor.is_cuda = torch.Tensor.is_xpu
        torch.cuda._initialization_lock = torch.xpu.lazy_init._initialization_lock
        torch.cuda._initialized = torch.xpu.lazy_init._initialized
        torch.cuda._lazy_seed_tracker = torch.xpu.lazy_init._lazy_seed_tracker
        torch.cuda._queued_calls = torch.xpu.lazy_init._queued_calls
        torch.cuda._tls = torch.xpu.lazy_init._tls
        torch.cuda.threading = torch.xpu.lazy_init.threading
        torch.cuda.traceback = torch.xpu.lazy_init.traceback
        torch.cuda.Optional = torch.xpu.Optional
        torch.cuda.__cached__ = torch.xpu.__cached__
        torch.cuda.__loader__ = torch.xpu.__loader__
        torch.cuda.ComplexFloatStorage = torch.xpu.ComplexFloatStorage
        torch.cuda.Tuple = torch.xpu.Tuple
        torch.cuda.streams = torch.xpu.streams
        torch.cuda._lazy_new = torch.xpu._lazy_new
        torch.cuda.FloatStorage = torch.xpu.FloatStorage
        torch.cuda.Any = torch.xpu.Any
        torch.cuda.__doc__ = torch.xpu.__doc__
        torch.cuda.default_generators = torch.xpu.default_generators
        torch.cuda.HalfTensor = torch.xpu.HalfTensor
        torch.cuda._get_device_index = torch.xpu._get_device_index
        torch.cuda.__path__ = torch.xpu.__path__
        torch.cuda.Device = torch.xpu.Device
        torch.cuda.IntTensor = torch.xpu.IntTensor
        torch.cuda.ByteStorage = torch.xpu.ByteStorage
        torch.cuda.set_stream = torch.xpu.set_stream
        torch.cuda.BoolStorage = torch.xpu.BoolStorage
        torch.cuda.os = torch.xpu.os
        torch.cuda.torch = torch.xpu.torch
        torch.cuda.BFloat16Storage = torch.xpu.BFloat16Storage
        torch.cuda.Union = torch.xpu.Union
        torch.cuda.DoubleTensor = torch.xpu.DoubleTensor
        torch.cuda.ShortTensor = torch.xpu.ShortTensor
        torch.cuda.LongTensor = torch.xpu.LongTensor
        torch.cuda.IntStorage = torch.xpu.IntStorage
        torch.cuda.LongStorage = torch.xpu.LongStorage
        torch.cuda.__annotations__ = torch.xpu.__annotations__
        torch.cuda.__package__ = torch.xpu.__package__
        torch.cuda.__builtins__ = torch.xpu.__builtins__
        torch.cuda.CharTensor = torch.xpu.CharTensor
        torch.cuda.List = torch.xpu.List
        torch.cuda._lazy_init = torch.xpu._lazy_init
        torch.cuda.BFloat16Tensor = torch.xpu.BFloat16Tensor
        torch.cuda.DoubleStorage = torch.xpu.DoubleStorage
        torch.cuda.ByteTensor = torch.xpu.ByteTensor
        torch.cuda.StreamContext = torch.xpu.StreamContext
        torch.cuda.ComplexDoubleStorage = torch.xpu.ComplexDoubleStorage
        torch.cuda.ShortStorage = torch.xpu.ShortStorage
        torch.cuda._lazy_call = torch.xpu._lazy_call
        torch.cuda.HalfStorage = torch.xpu.HalfStorage
        torch.cuda.random = torch.xpu.random
        torch.cuda._device = torch.xpu._device
        torch.cuda.classproperty = torch.xpu.classproperty
        torch.cuda.__name__ = torch.xpu.__name__
        torch.cuda._device_t = torch.xpu._device_t
        torch.cuda.warnings = torch.xpu.warnings
        torch.cuda.__spec__ = torch.xpu.__spec__
        torch.cuda.BoolTensor = torch.xpu.BoolTensor
        torch.cuda.CharStorage = torch.xpu.CharStorage
        torch.cuda.__file__ = torch.xpu.__file__
        torch.cuda._is_in_bad_fork = torch.xpu.lazy_init._is_in_bad_fork
        # torch.cuda.is_current_stream_capturing = torch.xpu.is_current_stream_capturing

        # Memory:
        torch.cuda.memory = torch.xpu.memory
        if "linux" in sys.platform and "WSL2" in os.popen("uname -a").read():
            torch.xpu.empty_cache = lambda: None
        torch.cuda.empty_cache = torch.xpu.empty_cache
        torch.cuda.memory_stats = torch.xpu.memory_stats
        torch.cuda.memory_summary = torch.xpu.memory_summary
        torch.cuda.memory_snapshot = torch.xpu.memory_snapshot
        torch.cuda.memory_allocated = torch.xpu.memory_allocated
        torch.cuda.max_memory_allocated = torch.xpu.max_memory_allocated
        torch.cuda.memory_reserved = torch.xpu.memory_reserved
        torch.cuda.memory_cached = torch.xpu.memory_reserved
        torch.cuda.max_memory_reserved = torch.xpu.max_memory_reserved
        torch.cuda.max_memory_cached = torch.xpu.max_memory_reserved
        torch.cuda.reset_peak_memory_stats = torch.xpu.reset_peak_memory_stats
        torch.cuda.reset_max_memory_cached = torch.xpu.reset_peak_memory_stats
        torch.cuda.reset_max_memory_allocated = torch.xpu.reset_peak_memory_stats
        torch.cuda.memory_stats_as_nested_dict = torch.xpu.memory_stats_as_nested_dict
        torch.cuda.reset_accumulated_memory_stats = (
            torch.xpu.reset_accumulated_memory_stats
        )

        # RNG:
        torch.cuda.get_rng_state = torch.xpu.get_rng_state
        torch.cuda.get_rng_state_all = torch.xpu.get_rng_state_all
        torch.cuda.set_rng_state = torch.xpu.set_rng_state
        torch.cuda.set_rng_state_all = torch.xpu.set_rng_state_all
        torch.cuda.manual_seed = torch.xpu.manual_seed
        torch.cuda.manual_seed_all = torch.xpu.manual_seed_all
        torch.cuda.seed = torch.xpu.seed
        torch.cuda.seed_all = torch.xpu.seed_all
        torch.cuda.initial_seed = torch.xpu.initial_seed

        # AMP:
        torch.cuda.amp = torch.xpu.amp
        if not hasattr(torch.cuda.amp, "common"):
            torch.cuda.amp.common = contextlib.nullcontext()
        torch.cuda.amp.common.amp_definitely_not_available = lambda: False
        try:
            torch.cuda.amp.GradScaler = torch.xpu.amp.GradScaler
        except Exception:  # pylint: disable=broad-exception-caught
            try:
                from .gradscaler import (
                    gradscaler_init,
                )  # pylint: disable=import-outside-toplevel, import-error

                gradscaler_init()
                torch.cuda.amp.GradScaler = torch.xpu.amp.GradScaler
            except Exception:  # pylint: disable=broad-exception-caught
                torch.cuda.amp.GradScaler = ipex.cpu.autocast._grad_scaler.GradScaler

        # C
        torch._C._cuda_getCurrentRawStream = ipex._C._getCurrentStream
        ipex._C._DeviceProperties.major = 2023
        ipex._C._DeviceProperties.minor = 2

        # Fix functions with ipex:
        torch.cuda.mem_get_info = lambda device=None: [
            (
                torch.xpu.get_device_properties(device).total_memory
                - torch.xpu.memory_allocated(device)
            ),
            torch.xpu.get_device_properties(device).total_memory,
        ]
        torch._utils._get_available_device_type = lambda: "xpu"
        torch.has_cuda = True
        torch.cuda.has_half = True
        torch.cuda.is_bf16_supported = lambda *args, **kwargs: True
        torch.cuda.is_fp16_supported = lambda *args, **kwargs: True
        torch.version.cuda = "11.7"
        torch.cuda.get_device_capability = lambda *args, **kwargs: [11, 7]
        torch.cuda.get_device_properties.major = 11
        torch.cuda.get_device_properties.minor = 7
        torch.cuda.ipc_collect = lambda *args, **kwargs: None
        torch.cuda.utilization = lambda *args, **kwargs: 0
        if hasattr(torch.xpu, "getDeviceIdListForCard"):
            torch.cuda.getDeviceIdListForCard = torch.xpu.getDeviceIdListForCard
            torch.cuda.get_device_id_list_per_card = torch.xpu.getDeviceIdListForCard
        else:
            torch.cuda.getDeviceIdListForCard = torch.xpu.get_device_id_list_per_card
            torch.cuda.get_device_id_list_per_card = (
                torch.xpu.get_device_id_list_per_card
            )

        ipex_hijacks()
        attention_init()
        try:
            from .diffusers import ipex_diffusers

            ipex_diffusers()
        except Exception:  # pylint: disable=broad-exception-caught
            pass
    except Exception as e:
        return False, e
    return True, None