issue/60: to_tensor存储原torch张量，增加INFINI_ROOT默认路径

test/infiniop/libinfiniop/liboperators.py

@@ -5,11 +5,12 @@ import ctypes
 from ctypes import c_int, c_int64, c_uint64, Structure, POINTER, c_size_t
 from .datatypes import *
 from .devices import *
+from pathlib import Path
 
 Device = c_int
 Optype = c_int
 
-INFINI_ROOT = os.environ.get("INFINI_ROOT")
+INFINI_ROOT = os.getenv("INFINI_ROOT") or str(Path.home() / ".infini")
 
 
 class TensorDescriptor(Structure):
@@ -30,9 +31,10 @@ infiniopTensorDescriptor_t = ctypes.POINTER(TensorDescriptor)
 
 
 class CTensor:
-    def __init__(self, desc, data):
+    def __init__(self, desc, torch_tensor):
         self.descriptor = desc
-        self.data = data
+        self.torch_tensor_ = torch_tensor
+        self.data = torch_tensor.data_ptr()
 
 
 class Handle(Structure):

test/infiniop/libinfiniop/utils.py

@@ -19,7 +19,6 @@ def to_tensor(tensor, lib):
     ndim = tensor.ndimension()
     shape = (ctypes.c_size_t * ndim)(*tensor.shape)
     strides = (ctypes.c_int64 * ndim)(*(tensor.stride()))
-    data_ptr = tensor.data_ptr()
     # fmt: off
     dt = (
         InfiniDtype.I8 if tensor.dtype == torch.int8 else
@@ -46,7 +45,7 @@ def to_tensor(tensor, lib):
         ctypes.byref(tensor_desc), ndim, shape, strides, dt
     )
     # Create Tensor
-    return CTensor(tensor_desc, data_ptr)
+    return CTensor(tensor_desc, tensor)
 
 
 def create_workspace(size, torch_device):