onnxruntime

3e0e2084 - Fix CUDA ReduceSum crash on empty tensors with explicit axes

Fix CUDA ReduceSum crash on empty tensors with explicit axes Remove the overly strict assertion that rejected reducing along a zero-sized dimension even with explicit axes. Reducing axis K of shape {N, 0} with keepdims=false produces shape {N} filled with the identity value (0 for sum), which is mathematically valid. The CPU implementation already handles this case via check_and_reduce_empty_set_input(). The CUDA path now allows PrepareForReduce to succeed, and ReduceComputeCore (line 369) already handles input_count==0 correctly. This fixes CUDA inference for models with dynamic KV cache where past_sequence_length=0 during prefill (e.g., Gemma4 via ORT GenAI). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Signed-off-by: Justin Chu <justinchu@microsoft.com>