onnxruntime.capi.onnxruntime_pybind11_state.NotImplemented: [ONNXRuntimeError] : 9 : NOT_IMPLEMENTED : Could not find an implementation for Trilu(14) node with name '/decoder/Trilu'

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### Describe the issue

onnx 1.13.0
onnxruntime 1.14.0
CPU

### To reproduce

import numpy as np
import onnxruntime

np.random.seed(0)

onnx_file_name = "work_dir/onnx/master/end2end.onnx"

shape = [1, 3, 1024, 1024]

input_data = np.random.random(shape).astype(np.float32)

providers = ['CPUExecutionProvider']
onnx_model = onnxruntime.InferenceSession(onnx_file_name, providers=providers, use_gpu=False,opt_level=1)
onnx_inputs = {onnx_model.get_inputs()[0].name :input_data}
onnx_outputs = onnx_model.run(None, onnx_inputs)

for output in onnx_outputs:
print(output.shape)

### Urgency

_No response_

### Platform

Windows

### OS Version

11

### ONNX Runtime Installation

Released Package

### ONNX Runtime Version or Commit ID

1.14.0

### ONNX Runtime API

Python

### Architecture

X64

### Execution Provider

Default CPU

### Execution Provider Library Version

_No response_

Start with the Python reproduction using work_dir/onnx/master/end2end.onnx and the CPUExecutionProvider, focusing on the /decoder/Trilu node and Trilu(14) error. Determine whether the reported model and ONNX Runtime 1.14.0 combination should support this operator, then verify behavior with the same input and provider settings.

Written by the indexing model from the issue text.