Tensor shape mismatch error when using candle-onnx with audio input

## Description
I'm encountering a tensor reshape error when trying to run inference on an audio model using `candle-onnx`. The error occurs during model evaluation despite the input tensor seemingly having the correct shape.

## Reproduction Code
```rust
let model = candle_onnx::read_file(MODEL).unwrap();
let graph = model.graph.as_ref().unwrap();
let input_tensor = Tensor::from_vec(audio[0..32000].to_vec(), (1, 32000), &Device::Cpu).unwrap();
let mut inputs: std::collections::HashMap = std::collections::HashMap::new();
inputs.insert(graph.input[0].name.to_string(), input_tensor);
let mut outputs = candle_onnx::simple_eval(&model, inputs).unwrap();
let output = outputs.remove(&graph.output[0].name).unwrap();
```

## Input Information
When printing the model input information:
```
Input dims: ValueInfoProto {
name: "input",
r#type: Some(TypeProto {
denotation: "",
value: Some(TensorType(Tensor {
elem_type: 1,
shape: Some(TensorShapeProto {
dim: [
Dimension { denotation: "", value: Some(DimValue(1)) },
Dimension { denotation: "", value: Some(DimValue(32000)) }
]
})
}))
}),
doc_string: ""
}
Input Tensor shape: Tensor[dims 1, 32000; f32]
```

## Error Message
```
thread 'main' panicked at src/main.rs:61:64:
called `Result::unwrap()` on an `Err` value: shape mismatch in reshape, lhs: [3], rhs: [1, 2]
```

## Environment
- Rust version: 1.85.1
- candle-onnx version: 0.8.4
- OS: Linux

## Additional Information
- The error happens during the `simple_eval` call, not during tensor creation
- The input tensor has the correct shape `[1, 32000]` as expected by the model
- The audio data is loaded from a WAV file
- The error seems to be from an internal reshaping operation where something is trying to reshape a tensor of shape [3] to [1, 2]

Any help or suggestions would be greatly appreciated!