Maximilianxu commented on issue #7758:
URL: https://github.com/apache/tvm/issues/7758#issuecomment-808674041
```
Traceback (most recent call last):
File "tune_network_x86.py", line 492, in <module>
tune_network()
File "tune_network_x86.py", line 423, in tune_network
tmp = tvm.nd.array(np.random.uniform(size=(30522,
7680)).astype(np.float32), ctx)
File
"/home/zyx/workspaces/python/tvm0.8_v3/python/tvm/runtime/ndarray.py", line
513, in array
return empty(arr.shape, arr.dtype, device).copyfrom(arr)
File
"/home/zyx/workspaces/python/tvm0.8_v3/python/tvm/runtime/ndarray.py", line
152, in copyfrom
check_call(_LIB.TVMArrayCopyFromBytes(self.handle, data, nbytes))
File "/home/zyx/workspaces/python/tvm0.8_v3/python/tvm/_ffi/base.py", line
346, in check_call
raise get_last_ffi_error()
tvm._ffi.base.TVMError: Traceback (most recent call last):
31: 0xffffffffffffffff
30: _start
29: __libc_start_main
28: Py_BytesMain
27: Py_RunMain
26: PyRun_SimpleFileExFlags
25: PyRun_FileExFlags
24: 0x000000000067d61e
23: 0x000000000067d5a0
22: PyEval_EvalCode
21: _PyEval_EvalCodeWithName
20: _PyEval_EvalFrameDefault
19: _PyFunction_Vectorcall
18: _PyEval_EvalCodeWithName
17: _PyEval_EvalFrameDefault
16: _PyFunction_Vectorcall
15: _PyEval_EvalCodeWithName
14: _PyEval_EvalFrameDefault
13: _PyFunction_Vectorcall
12: _PyEval_EvalFrameDefault
11: _PyObject_MakeTpCall
10: 0x00007f19e8e4d7df
9: _ctypes_callproc
8: 0x00007f19e9d82409
7: 0x00007f19e9d82ff4
6: TVMArrayCopyFromBytes
5: tvm::runtime::ArrayCopyFromBytes(DLTensor*, void const*, unsigned long)
4: tvm::runtime::RPCDeviceAPI::CopyDataFromTo(DLTensor*, DLTensor*, void*)
3: tvm::runtime::RPCEndpoint::CopyToRemote(void*, DLTensor*, unsigned long)
2: tvm::runtime::RPCEndpoint::HandleUntilReturnEvent(bool,
std::function<void (tvm::runtime::TVMArgs)>)
1: tvm::runtime::SockChannel::Send(void const*, unsigned long)
0: tvm::support::Socket::Error(char const*)
File
"/home/zyx/workspaces/python/tvm0.8_v3/src/runtime/rpc/../../support/socket.h",
line 360
```
The last error message was generated using the latest version and the
following code.
```
local_demo = True if TARGET != "android" else False
if local_demo:
remote = rpc.LocalSession()
else:
tracker_host = os.environ.get("TVM_TRACKER_HOST", "192.168.1.103")
tracker_port = int(os.environ.get("TVM_TRACKER_PORT", 9196))
key = "huawei"
tracker = rpc.connect_tracker(tracker_host, tracker_port)
# When running a heavy model, we should increase the
`session_timeout`
remote = tracker.request(key, priority=0, session_timeout=1000)
weights = {}
ctx = remote.cpu(0) if TARGET != "cuda" else remote.gpu(0)
MB = 0
from functools import reduce
byte = lambda x: reduce(lambda a, b: a * b, x) / 1e6
for _ in range(100):
tmp = tvm.nd.array(np.random.uniform(size=(30522,
7680)).astype(np.float32), ctx)
MB += byte((30522, 7680)) * 4
print(tmp.shape)
print("MB:", MB)
exit()
```
I cannot allocate a single array with the above code.
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