CLIPTextEncode "round" "_vml_cpu" not implemented for 'Long'

### Expected Behavior

# ComfyUI Error Report
## Error Details
- **Node Type:** CLIPTextEncode
- **Exception Type:** RuntimeError
- **Exception Message:** "round" "_vml_cpu" not implemented for 'Long'
## Stack Trace
```
File "/home/jk/ComfyUI/execution.py", line 323, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

File "/home/jk/ComfyUI/execution.py", line 198, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

File "/home/jk/ComfyUI/execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)

File "/home/jk/ComfyUI/execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))

File "/home/jk/ComfyUI/nodes.py", line 65, in encode
output = clip.encode_from_tokens(tokens, return_pooled=True, return_dict=True)

File "/home/jk/ComfyUI/comfy/sd.py", line 127, in encode_from_tokens
o = self.cond_stage_model.encode_token_weights(tokens)

File "/home/jk/ComfyUI/comfy/sd1_clip.py", line 598, in encode_token_weights
out = getattr(self, self.clip).encode_token_weights(token_weight_pairs)

File "/home/jk/ComfyUI/comfy/sd1_clip.py", line 41, in encode_token_weights
o = self.encode(to_encode)

File "/home/jk/ComfyUI/comfy/sd1_clip.py", line 238, in encode
return self(tokens)

File "/home/jk/miniconda3/envs/cfu/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)

File "/home/jk/ComfyUI/comfy/sd1_clip.py", line 210, in forward
outputs = self.transformer(tokens, attention_mask_model, intermediate_output=self.layer_idx, final_layer_norm_intermediate=self.layer_norm_hidden_state, dtype=torch.float32)

File "/home/jk/miniconda3/envs/cfu/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)

File "/home/jk/ComfyUI/comfy/clip_model.py", line 136, in forward
x = self.text_model(*args, **kwargs)

File "/home/jk/miniconda3/envs/cfu/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)

File "/home/jk/ComfyUI/comfy/clip_model.py", line 117, in forward
pooled_output = x[torch.arange(x.shape[0], device=x.device), (torch.round(input_tokens).to(dtype=torch.int, device=x.device) == self.eos_token_id).int().argmax(dim=-1),]

```
## System Information
- **ComfyUI Version:** v0.2.6-3-gf2aaa0a
- **Arguments:** main.py
- **OS:** posix
- **Python Version:** 3.10.0 (default, Mar 3 2022, 09:58:08) [GCC 7.5.0]
- **Embedded Python:** false
- **PyTorch Version:** 1.12.1+cu113
## Devices

- **Name:** cuda:0 Tesla P100-PCIE-16GB :
- **Type:** cuda
- **VRAM Total:** 17071734784
- **VRAM Free:** 16786718720
- **Torch VRAM Total:** 0
- **Torch VRAM Free:** 0

## Logs
```
2024-10-31 09:57:08,312 - root - INFO - Total VRAM 16281 MB, total RAM 56256 MB
2024-10-31 09:57:08,312 - root - INFO - pytorch version: 1.12.1+cu113
2024-10-31 09:57:08,312 - root - INFO - Set vram state to: NORMAL_VRAM
2024-10-31 09:57:08,313 - root - INFO - Device: cuda:0 Tesla P100-PCIE-16GB :
2024-10-31 09:57:08,539 - root - INFO - Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --use-split-cross-attention
2024-10-31 09:57:09,537 - root - INFO - [Prompt Server] web root: /home/jk/ComfyUI/web
2024-10-31 09:57:09,772 - root - INFO -
Import times for custom nodes:
2024-10-31 09:57:09,772 - root - INFO - 0.0 seconds: /home/jk/ComfyUI/custom_nodes/websocket_image_save.py
2024-10-31 09:57:09,772 - root - INFO -
2024-10-31 09:57:09,778 - root - INFO - Starting server

### Actual Behavior

2024-10-31 09:57:46,120 - root - ERROR - !!! Exception during processing !!! "round" "_vml_cpu" not implemented for 'Long'
2024-10-31 09:57:46,121 - root - ERROR - Traceback (most recent call last):
File "/home/jk/ComfyUI/execution.py", line 323, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
File "/home/jk/ComfyUI/execution.py", line 198, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
File "/home/jk/ComfyUI/execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)
File "/home/jk/ComfyUI/execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
File "/home/jk/ComfyUI/nodes.py", line 65, in encode
output = clip.encode_from_tokens(tokens, return_pooled=True, return_dict=True)
File "/home/jk/ComfyUI/comfy/sd.py", line 127, in encode_from_tokens
o = self.cond_stage_model.encode_token_weights(tokens)
File "/home/jk/ComfyUI/comfy/sd1_clip.py", line 598, in encode_token_weights
out = getattr(self, self.clip).encode_token_weights(token_weight_pairs)
File "/home/jk/ComfyUI/comfy/sd1_clip.py", line 41, in encode_token_weights
o = self.encode(to_encode)
File "/home/jk/ComfyUI/comfy/sd1_clip.py", line 238, in encode
return self(tokens)
File "/home/jk/miniconda3/envs/cfu/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/jk/ComfyUI/comfy/sd1_clip.py", line 210, in forward
outputs = self.transformer(tokens, attention_mask_model, intermediate_output=self.layer_idx, final_layer_norm_intermediate=self.layer_norm_hidden_state, dtype=torch.float32)
File "/home/jk/miniconda3/envs/cfu/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/jk/ComfyUI/comfy/clip_model.py", line 136, in forward
x = self.text_model(*args, **kwargs)
File "/home/jk/miniconda3/envs/cfu/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/jk/ComfyUI/comfy/clip_model.py", line 117, in forward
pooled_output = x[torch.arange(x.shape[0], device=x.device), (torch.round(input_tokens).to(dtype=torch.int, device=x.device) == self.eos_token_id).int().argmax(dim=-1),]
RuntimeError: "round" "_vml_cpu" not implemented for 'Long'

### Steps to Reproduce

2024-10-31 09:57:46,121 - root - ERROR - Got an OOM, unloading all loaded models.
2024-10-31 09:57:46,122 - root - INFO - Prompt executed in 1.62 seconds
2024-10-31 10:20:54,487 - root - INFO - got prompt
2024-10-31 10:20:54,644 - root - ERROR - !!! Exception during processing !!! "round" "_vml_cpu" not implemented for 'Long'
2024-10-31 10:20:54,645 - root - ERROR - Traceback (most recent call last):
File "/home/jk/ComfyUI/execution.py", line 323, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
File "/home/jk/ComfyUI/execution.py", line 198, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
File "/home/jk/ComfyUI/execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)
File "/home/jk/ComfyUI/execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
File "/home/jk/ComfyUI/nodes.py", line 65, in encode
output = clip.encode_from_tokens(tokens, return_pooled=True, return_dict=True)
File "/home/jk/ComfyUI/comfy/sd.py", line 127, in encode_from_tokens
o = self.cond_stage_model.encode_token_weights(tokens)
File "/home/jk/ComfyUI/comfy/sd1_clip.py", line 598, in encode_token_weights
out = getattr(self, self.clip).encode_token_weights(token_weight_pairs)
File "/home/jk/ComfyUI/comfy/sd1_clip.py", line 41, in encode_token_weights
o = self.encode(to_encode)
File "/home/jk/ComfyUI/comfy/sd1_clip.py", line 238, in encode
return self(tokens)
File "/home/jk/miniconda3/envs/cfu/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/jk/ComfyUI/comfy/sd1_clip.py", line 210, in forward
outputs = self.transformer(tokens, attention_mask_model, intermediate_output=self.layer_idx, final_layer_norm_intermediate=self.layer_norm_hidden_state, dtype=torch.float32)
File "/home/jk/miniconda3/envs/cfu/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/jk/ComfyUI/comfy/clip_model.py", line 136, in forward
x = self.text_model(*args, **kwargs)
File "/home/jk/miniconda3/envs/cfu/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/jk/ComfyUI/comfy/clip_model.py", line 117, in forward
pooled_output = x[torch.arange(x.shape[0], device=x.device), (torch.round(input_tokens).to(dtype=torch.int, device=x.device) == self.eos_token_id).int().argmax(dim=-1),]
RuntimeError: "round" "_vml_cpu" not implemented for 'Long'

### Debug Logs

```powershell
2024-10-31 10:20:54,646 - root - ERROR - Got an OOM, unloading all loaded models.
2024-10-31 10:20:54,648 - root - INFO - Prompt executed in 0.16 seconds

## Attached Workflow
Please make sure that workflow does not contain any sensitive information such as API keys or passwords.
```
{"last_node_id":9,"last_link_id":9,"nodes":[{"id":7,"type":"CLIPTextEncode","pos":{"0":413,"1":389},"size":{"0":425.27801513671875,"1":180.6060791015625},"flags":{},"order":3,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":5}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[6],"slot_index":0}],"properties":{"Node name for S&R":"CLIPTextEncode"},"widgets_values":["text, watermark"]},{"id":6,"type":"CLIPTextEncode","pos":{"0":415,"1":186},"size":{"0":422.84503173828125,"1":164.31304931640625},"flags":{},"order":2,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":3}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[4],"slot_index":0}],"properties":{"Node name for S&R":"CLIPTextEncode"},"widgets_values":["beautiful scenery nature glass bottle landscape, , purple galaxy bottle,"]},{"id":5,"type":"EmptyLatentImage","pos":{"0":473,"1":609},"size":{"0":315,"1":106},"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[{"name":"LATENT","type":"LATENT","links":[2],"slot_index":0}],"properties":{"Node name for S&R":"EmptyLatentImage"},"widgets_values":[512,512,1]},{"id":3,"type":"KSampler","pos":{"0":863,"1":186},"size":{"0":315,"1":262},"flags":{},"order":4,"mode":0,"inputs":[{"name":"model","type":"MODEL","link":1},{"name":"positive","type":"CONDITIONING","link":4},{"name":"negative","type":"CONDITIONING","link":6},{"name":"latent_image","type":"LATENT","link":2}],"outputs":[{"name":"LATENT","type":"LATENT","links":[7],"slot_index":0}],"properties":{"Node name for S&R":"KSampler"},"widgets_values":[250084882913724,"randomize",20,8,"euler","normal",1]},{"id":8,"type":"VAEDecode","pos":{"0":1209,"1":188},"size":{"0":210,"1":46},"flags":{},"order":5,"mode":0,"inputs":[{"name":"samples","type":"LATENT","link":7},{"name":"vae","type":"VAE","link":8}],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[9],"slot_index":0}],"properties":{"Node name for S&R":"VAEDecode"},"widgets_values":[]},{"id":9,"type":"SaveImage","pos":{"0":1451,"1":189},"size":{"0":210,"1":58},"flags":{},"order":6,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":9}],"outputs":[],"properties":{},"widgets_values":["ComfyUI"]},{"id":4,"type":"CheckpointLoaderSimple","pos":{"0":26,"1":474},"size":{"0":315,"1":98},"flags":{},"order":1,"mode":0,"inputs":[],"outputs":[{"name":"MODEL","type":"MODEL","links":[1],"slot_index":0},{"name":"CLIP","type":"CLIP","links":[3,5],"slot_index":1},{"name":"VAE","type":"VAE","links":[8],"slot_index":2}],"properties":{"Node name for S&R":"CheckpointLoaderSimple"},"widgets_values":["cardosAnime_v20.safetensors"]}],"links":[[1,4,0,3,0,"MODEL"],[2,5,0,3,3,"LATENT"],[3,4,1,6,0,"CLIP"],[4,6,0,3,1,"CONDITIONING"],[5,4,1,7,0,"CLIP"],[6,7,0,3,2,"CONDITIONING"],[7,3,0,8,0,"LATENT"],[8,4,2,8,1,"VAE"],[9,8,0,9,0,"IMAGE"]],"groups":[],"config":{},"extra":{"ds":{"scale":1,"offset":[126,77]}},"version":0.4}
```
```

### Other

## Additional Context
(Please add any additional context or steps to reproduce the error here)