Remove error log for Intel CPU/XPU

bitsandbytes/cextension.py

@@ -6,6 +6,7 @@
 
 import torch
 
+from bitsandbytes.backends.cpu_xpu_common import ipex_cpu, ipex_xpu
 from bitsandbytes.consts import DYNAMIC_LIBRARY_SUFFIX, PACKAGE_DIR
 from bitsandbytes.cuda_specs import CUDASpecs, get_cuda_specs, get_rocm_gpu_arch
 from bitsandbytes.npu_specs import get_npu_specs
@@ -70,6 +71,11 @@ def __init__(self, lib: ct.CDLL):
 
 
 def get_native_library() -> BNBNativeLibrary:
+    from bitsandbytes.backends.cpu_xpu_common import ipex_cpu, ipex_xpu
+
+    if ipex_cpu or ipex_xpu:
+        return None
+
     binary_path = PACKAGE_DIR / f"libbitsandbytes_cpu{DYNAMIC_LIBRARY_SUFFIX}"
     cuda_specs = get_cuda_specs()
     if cuda_specs:
@@ -93,30 +99,34 @@ def get_native_library() -> BNBNativeLibrary:
 
 ROCM_GPU_ARCH = get_rocm_gpu_arch()
 
-try:
-    if torch.version.hip:
-        hip_major, hip_minor = map(int, torch.version.hip.split(".")[0:2])
-        HIP_ENVIRONMENT, BNB_HIP_VERSION = True, hip_major * 100 + hip_minor
-        BNB_HIP_VERSION_SHORT = f"{hip_major}{hip_minor}"
-        BNB_BACKEND = "ROCm"
-    else:
-        HIP_ENVIRONMENT, BNB_HIP_VERSION = False, 0
-        BNB_HIP_VERSION_SHORT = ""
-        BNB_BACKEND = "CUDA"
-
-    lib = get_native_library()
-except Exception as e:
-    lib = None
-    logger.error(f"Could not load bitsandbytes native library: {e}", exc_info=True)
-    if torch.cuda.is_available():
-        logger.warning(
-            f"""
-{BNB_BACKEND} Setup failed despite {BNB_BACKEND} being available. Please run the following command to get more information:
 
-python -m bitsandbytes
-
-Inspect the output of the command and see if you can locate {BNB_BACKEND} libraries. You might need to add them
-to your LD_LIBRARY_PATH. If you suspect a bug, please take the information from python -m bitsandbytes
-and open an issue at: https://github.com/bitsandbytes-foundation/bitsandbytes/issues
-""",
-        )
+if ipex_cpu or ipex_xpu:
+    lib = None
+else:
+    try:
+        if torch.version.hip:
+            hip_major, hip_minor = map(int, torch.version.hip.split(".")[0:2])
+            HIP_ENVIRONMENT, BNB_HIP_VERSION = True, hip_major * 100 + hip_minor
+            BNB_HIP_VERSION_SHORT = f"{hip_major}{hip_minor}"
+            BNB_BACKEND = "ROCm"
+        else:
+            HIP_ENVIRONMENT, BNB_HIP_VERSION = False, 0
+            BNB_HIP_VERSION_SHORT = ""
+            BNB_BACKEND = "CUDA"
+
+        lib = get_native_library()
+    except Exception as e:
+        lib = None
+        logger.error(f"Could not load bitsandbytes native library: {e}", exc_info=True)
+        if torch.cuda.is_available():
+            logger.warning(
+                f"""
+    {BNB_BACKEND} Setup failed despite {BNB_BACKEND} being available. Please run the following command to get more information:
+
+    python -m bitsandbytes
+
+    Inspect the output of the command and see if you can locate {BNB_BACKEND} libraries. You might need to add them
+    to your LD_LIBRARY_PATH. If you suspect a bug, please take the information from python -m bitsandbytes
+    and open an issue at: https://github.com/bitsandbytes-foundation/bitsandbytes/issues
+    """,
+            )

docs/source/installation.mdx

@@ -341,10 +341,10 @@ pip install -e .   # `-e` for "editable" install, when developing BNB (otherwise
 </hfoption>
 <hfoption id="Intel CPU + GPU">
 
-#### Intel CPU
+#### Intel CPU / XPU
 
 > [!TIP]
-> Intel CPU backend only supports building from source; for now, please follow the instructions below.
+> Intel CPU / XPU backend only supports building from source; for now, please follow the instructions below.
 
 Similar to the CUDA case, you can compile bitsandbytes from source for Linux and Windows systems.