Is Conv1D supported?

[carbocation]

I have an onnx model that expects input in the shape (B, C, S), where S is signal. E.g., (1, 1, 350). When I try to initialize this based on the demo (code shown below), I run into the error shown beneath the code. Is Conv1D not supported, or should I modify how I am setting up the input (which is currently tensor.New(tensor.WithShape(1, 1, signalLength), tensor.Of(tensor.Float32)))?

package main

import (
	"fmt"
	"log"
	"os"

	"github.com/owulveryck/onnx-go"
	"github.com/owulveryck/onnx-go/backend/x/gorgonnx"
	"gorgonia.org/tensor"
)

var signalLength = 350

func main() {
	// Create a backend receiver
	backend := gorgonnx.NewGraph()
	// Create a model and set the execution backend
	model := onnx.NewModel(backend)

	// read the onnx model
	b, _ := os.ReadFile("../model.pt.onnx")
	// Decode it into the model
	err := model.UnmarshalBinary(b)
	if err != nil {
		log.Fatal(err)
	}

	// Set the first input, the number depends of the model
	input := tensor.New(tensor.WithShape(1, 1, signalLength), tensor.Of(tensor.Float32))
	model.SetInput(0, input)
	err = backend.Run()
	if err != nil {
		log.Fatal(err)
	}
	// Check error
	output, _ := model.GetOutputTensors()
	// write the first output to stdout
	fmt.Println(output[0])
}

Error:

go run *.go
2023/08/27 14:22:30 conv: kernel shape is supposed to have a dim of 2
exit status 1