convolution_overrideable not implemented.

**Device**: Mac m2 8gb 512gb

**What work**:
1. Launch ComfyUI on Mac M2 with parameters ` python3 main.py --force-fp16`
2. Load Default
3. Queue Prompt
**4. Success**

**How to reproduce error:**
1. Launch ComfyUI on Mac M2 with parameters ` python3 main.py --force-fp16`
2. Load Default
3. Remove Empty Latent Image
4. Add Load Image and VAE Encode
5. Select Image and Queue Prompt
**6. Fail**

**Error**
Error at VAE Encode:
`Error occurred when executing VAEEncode:
convolution_overrideable not implemented. You are likely triggering this with tensor backend other than CPU/CUDA/MKLDNN, if this is intended, please use TORCH_LIBRARY_IMPL to override this function
File "/Users/coriolan/Developer/comfyui/ComfyUI/execution.py", line 155, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "/Users/coriolan/Developer/comfyui/ComfyUI/execution.py", line 85, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "/Users/coriolan/Developer/comfyui/ComfyUI/execution.py", line 78, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "/Users/coriolan/Developer/comfyui/ComfyUI/nodes.py", line 304, in encode
t = vae.encode(pixels[:,:,:,:3])
File "/Users/coriolan/Developer/comfyui/ComfyUI/comfy/sd.py", line 268, in encode
samples[x:x+batch_number] = self.first_stage_model.encode(pixels_in).to(self.output_device).float()
File "/Users/coriolan/Developer/comfyui/ComfyUI/comfy/ldm/models/autoencoder.py", line 181, in encode
z = self.encoder(x)
File "/Users/coriolan/Library/Python/3.9/lib/python/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/Users/coriolan/Library/Python/3.9/lib/python/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/Users/coriolan/Developer/comfyui/ComfyUI/comfy/ldm/modules/diffusionmodules/model.py", line 520, in forward
h = self.conv_in(x)
File "/Users/coriolan/Library/Python/3.9/lib/python/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/Users/coriolan/Library/Python/3.9/lib/python/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/Users/coriolan/Developer/comfyui/ComfyUI/comfy/ops.py", line 43, in forward
return super().forward(*args, **kwargs)
File "/Users/coriolan/Library/Python/3.9/lib/python/site-packages/torch/nn/modules/conv.py", line 460, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/Users/coriolan/Library/Python/3.9/lib/python/site-packages/torch/nn/modules/conv.py", line 456, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,`