As your guide, after changing the code from " reporter->Assign(types[1], TensorTypeNode::make(wshape, data->dtype));" to “reporter->Assign(types[1], TensorTypeNode::make(wshape, weight->dtype));”, the infer_type can pass, but it appears a new error, just like below. I will create a new question, thank you very much!
Log:
Traceback (most recent call last):
File “/home/ai/solomon/workspace/code/tvm/python/tvm/relay/backend/compile_engine.py”, line 76, in lower
return _backend._CompileEngineLower(self, key)
File “/home/ai/solomon/workspace/code/tvm/python/tvm/_ffi/_ctypes/function.py”, line 185, in call
ctypes.byref(ret_val), ctypes.byref(ret_tcode)))
File “/home/ai/solomon/workspace/code/tvm/python/tvm/_ffi/base.py”, line 71, in check_call
raise TVMError(py_str(_LIB.TVMGetLastError()))
tvm._ffi.base.TVMError: TVMCall CFunc Error:
Traceback (most recent call last):
File “/home/ai/solomon/workspace/code/tvm/python/tvm/_ffi/_ctypes/function.py”, line 55, in cfun
rv = local_pyfunc(*pyargs)
File “/home/ai/solomon/workspace/code/tvm/python/tvm/relay/op/nn/_nn.py”, line 337, in compute_contrib_conv2d_NCHWc
data_layout, out_layout, out_dtype)
File “”, line 2, in conv2d_NCHWc
File “/home/ai/solomon/workspace/code/tvm/python/tvm/target.py”, line 356, in dispatch_func
return dispatch_dict[k](*args, **kwargs)
File “”, line 2, in config_dispatcher
File “/home/ai/solomon/workspace/code/tvm/python/tvm/autotvm/task/dispatcher.py”, line 199, in dispatch_func
return dispatch_dict[‘direct’](cfg, *args, **kwargs)
File “/home/ai/solomon/workspace/code/tvm/python/tvm/autotvm/task/topi_integration.py”, line 267, in template_call
node = f(cfg, *args, **kwargs)
File “/home/ai/solomon/workspace/code/tvm/topi/python/topi/x86/conv2d.py”, line 377, in _declaration_conv_NCHWc
oc_chunk, _, kernel_height, kernel_width, _, oc_bn, _ = get_const_tuple(kernel.shape)
ValueError: not enough values to unpack (expected 7, got 6)