[fx2trt] Fix dummy weight initialization in conv1d converter (#78402)
Summary:
att, currently it errors out with the following error:
```
---> 72 dummy_weight = trt.Weights(weight_shape)
73 layer = network.add_convolution_nd(
74 input=input_val,
TypeError: __init__(): incompatible constructor arguments. The following argument types are supported:
1. tensorrt.tensorrt.Weights(type: tensorrt.tensorrt.DataType = <DataType.FLOAT: 0>)
2. tensorrt.tensorrt.Weights(a: numpy.ndarray)
```
full error: https://www.internalfb.com/phabricator/paste/view/P503598381
we need to pass arond a numpy ndarray instead of a shape here.
and support conv1d in backend_config_dict for tensorrt
Test Plan:
```
buck test mode/opt deeplearning/trt/fx2trt_oss/test/converters:test_convolution
```
```
buck test mode/opt deeplearning/trt/fx2trt_oss/test/quant:test_quant_trt
```
Differential Revision: D36721313
Pull Request resolved: https://github.com/pytorch/pytorch/pull/78402
Approved by: https://github.com/842974287
