onnxruntime/onnxruntime/test
Xavier Dupré 80213a9e66
Add implementation for ScatterND (#19540)
### Description
onnxruntime switches to CPU for ScatterND after opset 13. This extends
the implementation of higher opsets.
2024-04-24 14:08:50 +02:00
..
common
contrib_ops [DML EP] Add MatMulNBits (#20308) 2024-04-19 15:05:37 -07:00
cuda_host
custom_op_registration
debug_node_inputs_outputs
flatbuffers Support >2GB of Tensor data in training checkpoint (#20077) 2024-04-22 15:17:43 -07:00
framework Avoid call to Node::ToProto on first Graph::Resolve to improve session creation performance. (#20296) 2024-04-17 10:07:12 +10:00
fuzzing
global_thread_pools
ir Introduce memory efficient topological sort (#20258) 2024-04-23 08:00:23 +08:00
logging_apis
mlas [MLAS][AArch64] SQNBitGemm M>1 CompFp32 kernel optimization (#20319) 2024-04-17 17:50:26 -07:00
onnx Enable provider option to let user provider the profiling file path (#20285) 2024-04-17 09:42:40 -07:00
opaque_api
optimizer
perftest OVEP Bug fix 1.18 (#20408) 2024-04-22 18:31:05 -07:00
platform Add helper to get errno and error message (#20324) 2024-04-17 21:17:36 +10:00
proto
providers Add implementation for ScatterND (#19540) 2024-04-24 14:08:50 +02:00
python Add implementation for ScatterND (#19540) 2024-04-24 14:08:50 +02:00
quantization
shared_lib fix android build issue (#20389) 2024-04-19 14:21:34 -07:00
testdata Fix handling of nodes that get assigned to kMSInternalNHWCDomain when loading an ORT format model. (#20379) 2024-04-22 18:34:01 -07:00
unittest_main
util [DML EP] Add graph capture (#20257) 2024-04-18 10:15:00 -07:00
wasm
win_getopt
xctest
run_benchmark.py
run_benchmark.readme.md