add uvm operators

starrygl/__init__.py

 import torch
 
-# from .lib import libstarrygl_ops as ops
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+import logging
+
+try:
+    from .lib import libstarrygl_ops as ops
+except:
+    logging.error("unable to import libstarrygl.so, some features may not be available.")
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starrygl/uvm.py

+import torch
+import starrygl
+
+from torch import Tensor
+from enum import Enum
+from typing import *
+
+__all__ = [
+    "uvm_empty",
+    "uvm_share_",
+    "uvm_advise",
+    "uvm_prefetch",
+    "cudaMemoryAdvise",
+]
+
+def uvm_empty(*sizes: int, dtype: torch.dtype, device: Any):
+    sizes = torch.Size(sizes)
+    device = torch.device(device)
+
+    assert device.type == "cuda" \
+        and device.index is not None, "device must be cuda:x"
+    
+    size_bytes = torch.Size(sizes).numel() * dtype.itemsize
+
+    dims = len(sizes)
+    strides = [1] * dims
+    for i in range(1, dims):
+        strides[dims-i-1] = strides[dims-i] * sizes[dims-i]
+    strides = torch.Size(strides)
+    print(strides)
+
+    storage = starrygl.ops.uvm_storage_new(size_bytes, device.index)
+    return torch.empty(0, dtype=dtype, device=device).set_(storage, 0, sizes, strides)
+
+def uvm_share_(x: Tensor, device: Any):
+    device = torch.device(device)
+    if device.type == "cpu":
+        storage = starrygl.ops.uvm_storage_to_cpu(x.untyped_storage())
+    else:
+        assert device.type == "cuda" \
+            and device.index is not None, "device must be cuda:x or cpu"
+        storage = starrygl.ops.uvm_storage_to_cuda(x.untyped_storage(), device.index)
+
+    return torch.empty(0, dtype=x.dtype, device=device) \
+        .set_(storage, x.storage_offset(), x.size(), x.stride())
+
+class cudaMemoryAdvise(Enum):
+    cudaMemAdviseSetAccessedBy = starrygl.ops.cudaMemoryAdvise.cudaMemAdviseSetAccessedBy
+    cudaMemAdviseUnsetAccessedBy = starrygl.ops.cudaMemoryAdvise.cudaMemAdviseUnsetAccessedBy
+    cudaMemAdviseSetPreferredLocation = starrygl.ops.cudaMemoryAdvise.cudaMemAdviseSetPreferredLocation
+    cudaMemAdviseUnsetPreferredLocation = starrygl.ops.cudaMemoryAdvise.cudaMemAdviseUnsetPreferredLocation
+    cudaMemAdviseSetReadMostly = starrygl.ops.cudaMemoryAdvise.cudaMemAdviseSetReadMostly
+    cudaMemAdviseUnsetReadMostly = starrygl.ops.cudaMemoryAdvise.cudaMemAdviseUnsetReadMostly
+
+def uvm_advise(x: Tensor, advise: cudaMemoryAdvise):
+    assert isinstance(advise, cudaMemoryAdvise)
+    advise = starrygl.ops.cudaMemoryAdvise(advise.value)
+    starrygl.ops.uvm_storage_advise(x.untyped_storage(), advise)
+
+def uvm_prefetch(x: Tensor):
+    starrygl.ops.uvm_storage_prefetch(x.untyped_storage())
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