And also I got some error using method 1.
Here is my code:
```python
strides, padding, dilation = (1, 1), (1, 1), (1, 1)
data = te.placeholder((1, 512, 7, 7), name="data")
kernel = te.placeholder((512, 512, 3, 3), name="kernel")
cfg = autotvm.get_config()
task = autotvm.task.create(
"conv2d_nchw.cuda", args=( cfg, data, kernel, strides, padding, dilation),
target="cuda"
)
```
And the error info is:
```
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 "tvm_op_test.py", line 105, in <module>
"conv2d_nchw.cuda", args=( cfg, data, kernel, strides, padding, dilation),
target="cuda"
File "/WorkSpace/incubator-tvm/python/tvm/autotvm/task/task.py", line 445, in
create
args = serialize_args(args)
File "/WorkSpace/incubator-tvm/python/tvm/autotvm/task/task.py", line 77, in
serialize_args
ret.append(_encode(t))
File "/WorkSpace/incubator-tvm/python/tvm/autotvm/task/task.py", line 72, 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
```
---
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