Why is ortvalue_from_numpy_with_onnx_type needed to support bfloat16 #24106
Description
Describe the issue
When I was using ortvalue_from_numpy_with_onnx_type, it occurred to me that the input dtypes are already known by the inference session which could simply reinterpret cast any 16-bit input (like uint16) into the desired onnx type. I wonder why we need to specify the types again in ortvalue_from_numpy_with_onnx_type?
To reproduce
N/A
Urgency
No response
Platform
Linux
OS Version
N/A
ONNX Runtime Installation
Released Package
ONNX Runtime Version or Commit ID
1.21
ONNX Runtime API
Python
Architecture
X64
Execution Provider
Default CPU
Execution Provider Library Version
No response