Simple FP8 GEMM is not runnable in CPU EP

[galagam]

Describe the issue

Simple model with GEMM(DQ(Q(input0)), DQ(Q(input1)) quantizing FP32 -> FP8E4M3 fails to run using the CPU EP. It is runnable when using the CUDA EP.
An identical model using FP16 -> FP8E4M3 quantization is able to run with either CPU EP or CUDA EP.

Reported error:
onnxruntime.capi.onnxruntime_pybind11_state.InvalidGraph: [ONNXRuntimeError] : 10 : INVALID_GRAPH : This is an invalid model. Type Error: Type 'tensor(float8e4m3fn)' of input parameter (/self_attention/proj/TRT_FP8QuantizeLinear_output_0) of operator (QGemm) in node (/self_attention/proj/Gemm) is invalid.

To reproduce

ort_bug_fp8_fp32_gemm.zip
See attached model and script.

Usage: python test_ort.py ort_bug_gemm_fp8_fp32.onnx

Urgency

No response

Platform

Linux

OS Version

Ubuntu 22.04

ONNX Runtime Installation

Released Package

ONNX Runtime Version or Commit ID

1.19.2

ONNX Runtime API

Python

Architecture

X64

Execution Provider

Default CPU

Execution Provider Library Version

No response

[github-actions]

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