[Copilot]

Description

• Convolution: Initialize Conv and ConvTranspose frontend graphs with the SM version from cached kernel properties:

  const auto& device_prop = GetDeviceProp();
  s_.cudnn_fe_graph->set_sm_version(device_prop.major * 10 + device_prop.minor);

• Other queries: Pass cached properties to multinomial sampling; replace CUTLASS’s full-property query with the required shared-memory attribute query.
• Coverage: Add dynamic-shape convolution cases with bias fusion enabled/disabled and deterministic sampling cases.

Motivation and Context

cuDNN frontend ≥1.24 queries full device properties during support checks on rebuilt graphs. Dynamic-shape convolution models incur ~1 ms per node per shape change, causing a reported 22–42% end-to-end slowdown; reusing the EP’s cached properties avoids this overhead.

• Fixes [Performance] CUDA Conv: cuDNN frontend >= 1.24 calls cudaGetDeviceProperties on every plan rebuild (~1 ms per Conv node per input-shape change) #33769

[azure-pipelines]

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