Hi, I tried the following code:
```
# logging config (for printing tuning log to screen)
logging.getLogger('autotvm').setLevel(logging.DEBUG)
logging.getLogger('autotvm').addHandler(logging.StreamHandler(sys.stdout))
# the last layer in resnet
N, H, W, CO, CI, KH, KW, strides, padding = 1, 7, 7, 512, 512, 3, 3, (1, 1),
(1, 1)
data = te.placeholder((N, CI, H, W), name='data')
kernel = te.placeholder((CO, CI, KH, KW), name='kernel')
conv = topi.nn.conv2d_nchw(data, kernel, strides, padding, dilation=1,
out_dtype='float32')
cfg = autotvm.get_config()
task = autotvm.task.create("conv2d_nchw.cuda",
args=(cfg, [conv]),
target='cuda')
print(task.config_space)
```
But output is as follows:
```
Cannot find config for target=None, workload=None. A fallback configuration is
used, which may bring great performance regression.
Traceback (most recent call last):
File "tune_conv2d_cuda_builtin_tmp.py", line 194, in <module>
target='cuda')
File "/usr/tvm/python/tvm/autotvm/task/task.py", line 406, in create
args = serialize_args(args)
File "/usr/tvm/python/tvm/autotvm/task/task.py", line 64, in serialize_args
ret.append(_encode(t))
File "/usr/tvm/python/tvm/autotvm/task/task.py", line 61, in _encode
'primitive types or tvm.tir.Var only' % type(x))
RuntimeError: Do not support type "<class
'tvm.autotvm.task.space.FallbackConfigEntity'>" in argument. Consider to
useprimitive types or tvm.tir.Var only
```
Could you give me some advice on this situation?
Thanks in advance.
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