| .. |
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attention
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Move attention test data to file (#17158)
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2023-08-15 21:31:57 -07:00 |
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cloud_models
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CloudEP (#13855)
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2023-01-03 10:03:15 -08:00 |
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CNTK
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Adopt linrtunner as the linting tool - take 2 (#15085)
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2023-03-24 15:29:03 -07:00 |
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custom_execution_provider_library
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ExecutionProvider API refactor - move allocator from EP level to SessionState level and indexed by OrtDevice (#15833)
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2023-06-19 17:44:45 -07:00 |
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custom_op_get_const_input_test_library
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Allow disable exceptions to work with ort-extensions (#16536)
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2023-06-29 18:24:33 -07:00 |
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custom_op_invalid_library
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Improve custom op library handle cleanup (#14099)
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2023-01-04 17:56:29 -08:00 |
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custom_op_library
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EP context for custom op (#16454)
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2023-08-16 13:03:40 -07:00 |
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custom_op_openvino_wrapper_library
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Run clang-format in CI (#15524)
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2023-04-18 09:26:58 -07:00 |
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mobilenet_v3_small_excerpt_gen
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[CoreML EP] Enable inputs with dynamic shape (#16915)
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2023-08-03 18:15:00 -07:00 |
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multi_stream_models
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Sync between parent node and subgraph (#15757)
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2023-05-11 09:28:04 -07:00 |
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ort_minimal_e2e_test_data
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Changes to support standalone custom ops in a minimal build. (#14497)
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2023-03-01 11:22:54 +10:00 |
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ort_minimal_test_models
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Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791)
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2022-09-20 14:24:59 -07:00 |
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snpe
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Snpe ep (#11665)
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2022-06-03 14:10:02 -07:00 |
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squeezenet
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Fix cuda graph capture (#15005)
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2023-06-14 18:10:20 -07:00 |
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test_data_generation
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Adopt linrtunner as the linting tool - take 2 (#15085)
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2023-03-24 15:29:03 -07:00 |
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training_api
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Add SGDOptimizer in the on-device training offline tooling (onnxblock) (#17085)
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2023-08-18 10:50:39 -07:00 |
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transform
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Improve graph transformer DoubleQDQPairsRemover (#16910)
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2023-07-31 09:24:46 -07:00 |
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transformers
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Some changes to Sampling Op (#14218)
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2023-01-12 14:15:26 -08:00 |
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TRTEP_test_model
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Update engine hash id generator with model name/model content/metadata (#13015)
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2022-09-21 11:10:05 -07:00 |
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abs_free_dimensions.onnx
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add_opset_314159.onnx
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alloc_tensor_reuse.onnx
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attention_mask1d_fp16.onnx
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[CUDA] Add TensorRT fused attention fp16 v2 kernels (#12814)
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2022-09-13 15:16:12 -07:00 |
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attention_mask1d_fp32.onnx
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[CUDA] Add TensorRT fused attention fp16 v2 kernels (#12814)
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2022-09-13 15:16:12 -07:00 |
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attention_mask2d_fp32.onnx
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[CUDA] Add TensorRT fused attention fp16 v2 kernels (#12814)
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2022-09-13 15:16:12 -07:00 |
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attention_past_state.onnx
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attention_past_state.u8s8.onnx
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attention_past_state.u8u8.onnx
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bart_tiny.onnx
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bert_toy_optimized.onnx
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bert_toy_postprocessed.onnx
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capi_symbolic_dims.onnx
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capi_symbolic_dims.py
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Adopt linrtunner as the linting tool - take 2 (#15085)
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2023-03-24 15:29:03 -07:00 |
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ckpt_mnist.pt
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constant_floats.onnx
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Set dims for constant with multiple values (#11116)
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2022-04-06 07:39:07 +10:00 |
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conv_autopad.onnx
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conv_qdq_s8s8.onnx
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[xnnpack] basic QDQ operators support (#11912)
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2022-08-11 10:12:51 +08:00 |
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conv_qdq_s8s8_perchannel.onnx
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[xnnpack] basic QDQ operators support (#11912)
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2022-08-11 10:12:51 +08:00 |
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conv_qdq_u8u8.onnx
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[xnnpack] basic QDQ operators support (#11912)
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2022-08-11 10:12:51 +08:00 |
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coreml_argmax_cast_test.onnx
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coreml_argmax_cast_test.py
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Adopt linrtunner as the linting tool - take 2 (#15085)
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2023-03-24 15:29:03 -07:00 |
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crop_and_resize.onnx
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cuda_graph_with_shape_nodes.onnx
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Relax node placement check for CUDA Graph usage (#16358)
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2023-06-15 14:03:08 -07:00 |
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custom_op_negpos.onnx
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custom_op_single_schema_multi_kernel.onnx
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Single-schema-multi-kernel (#15184)
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2023-04-27 13:39:59 -07:00 |
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custom_op_string_lower.onnx
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custom_op_variadic_io.onnx
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Support for custom op variadic inputs/outputs (#13946)
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2022-12-23 11:41:15 -08:00 |
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custom_op_variadic_undef_io.onnx
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Support for custom op variadic inputs/outputs (#13946)
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2022-12-23 11:41:15 -08:00 |
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dynamic_quantize_matmul_int8.onnx
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dynamic_quantize_matmul_int8_bias.onnx
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dynamic_quantize_matmul_test.py
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Adopt linrtunner as the linting tool - take 2 (#15085)
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2023-03-24 15:29:03 -07:00 |
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dynamic_quantize_matmul_uint8.onnx
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dynamic_quantize_matmul_uint8_bias.onnx
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ep_dynamic_graph_input_test.onnx
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Add logic to NNAPI EP to exclude pre-processing involving dynamic shapes when partitioning (#10452)
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2022-02-02 15:54:19 -08:00 |
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ep_dynamic_graph_input_test.py
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Adopt linrtunner as the linting tool - take 2 (#15085)
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2023-03-24 15:29:03 -07:00 |
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ep_partitioning_test_1.onnx
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ep_partitioning_test_2.onnx
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ep_partitioning_tests.py
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Adopt linrtunner as the linting tool - take 2 (#15085)
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2023-03-24 15:29:03 -07:00 |
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flatten_broadcast.onnx
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Fix CoreML Flatten handling of axis attribute (#16046)
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2023-05-24 08:27:32 +10:00 |
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foo_1.onnx
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Fix issue with schema lookup where there are custom ops using the ONNX domain (#14492)
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2023-02-03 08:05:18 +10:00 |
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foo_1.onnx.ort
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Changes to support standalone custom ops in a minimal build. (#14497)
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2023-03-01 11:22:54 +10:00 |
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foo_1_clip_11.onnx
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Fix issue with schema lookup where there are custom ops using the ONNX domain (#14492)
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2023-02-03 08:05:18 +10:00 |
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foo_3.onnx
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Fix issue with schema lookup where there are custom ops using the ONNX domain (#14492)
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2023-02-03 08:05:18 +10:00 |
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foo_bar_1.onnx
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Fix issue with schema lookup where there are custom ops using the ONNX domain (#14492)
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2023-02-03 08:05:18 +10:00 |
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foo_bar_2.onnx
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Fix issue with schema lookup where there are custom ops using the ONNX domain (#14492)
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2023-02-03 08:05:18 +10:00 |
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foo_bar_3.onnx
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Fix issue with schema lookup where there are custom ops using the ONNX domain (#14492)
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2023-02-03 08:05:18 +10:00 |
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function_opset_test.onnx
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function_with_variadics.onnx
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Add handling for variadic inputs/outputs in a function. (#13140)
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2022-09-30 14:51:17 +10:00 |
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fuse_mul_1.onnx
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fuse_select_filter.onnx
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Implement lite custom op API (#15778)
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2023-05-04 09:49:17 -07:00 |
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gather_with_scalar_indices_then_shape.onnx
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[CoreML EP] Add Shape, Gather, and Slice ops (#17153)
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2023-08-18 22:34:34 -07:00 |
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gather_with_scalar_indices_then_shape.py
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[CoreML EP] Add Shape, Gather, and Slice ops (#17153)
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2023-08-18 22:34:34 -07:00 |
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gh_issue_9671.onnx
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gh_issue_11717.onnx
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Skip Constant Folding for ops producing an optional type output (#11839)
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2022-06-30 13:38:35 -07:00 |
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identity_9799.onnx
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identity_string.onnx
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initializer_as_output.onnx
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invalid_dim_param_value_repetition.onnx
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issue4829.onnx
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LabelEncoder.onnx
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layernorm.onnx
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layernorm_no_bias.onnx
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layout_transform_reshape.onnx
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Transpose optimizer enhancements (#15117)
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2023-03-28 08:28:17 +10:00 |
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layout_transform_reshape.qdq.onnx
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Transpose optimizer enhancements (#15117)
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2023-03-28 08:28:17 +10:00 |
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logicaland.onnx
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matmul_1.onnx
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matmul_2.onnx
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matmul_integer_to_float.py
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Adopt linrtunner as the linting tool - take 2 (#15085)
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2023-03-24 15:29:03 -07:00 |
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matmul_integer_to_float_int8.onnx
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matmul_integer_to_float_int8_bias.onnx
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matmul_integer_to_float_int8_int8.onnx
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matmul_integer_to_float_int8_int8_bias.onnx
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matmul_integer_to_float_uint8.onnx
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matmul_integer_to_float_uint8_bias.onnx
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matmul_with_dynamic_input_shape.onnx
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[CoreML EP] Enable inputs with dynamic shape (#16915)
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2023-08-03 18:15:00 -07:00 |
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matmul_with_dynamic_input_shape.py
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[CoreML EP] Enable inputs with dynamic shape (#16915)
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2023-08-03 18:15:00 -07:00 |
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merge.onnx
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Implement lite custom op API (#15778)
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2023-05-04 09:49:17 -07:00 |
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mlnet_encoder.onnx
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mnist.basic.ort
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Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791)
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2022-09-20 14:24:59 -07:00 |
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mnist.basic.v4.ort
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Add backwards compatibility for all versions of ORT format model in full build. (#13242)
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2022-10-12 17:45:52 +10:00 |
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mnist.internal_testing_ep.ort
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Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791)
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2022-09-20 14:24:59 -07:00 |
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mnist.onnx
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mnist.readme.txt
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Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791)
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2022-09-20 14:24:59 -07:00 |
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mobilenet_v3_small_excerpt.onnx
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[CoreML EP] Enable inputs with dynamic shape (#16915)
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2023-08-03 18:15:00 -07:00 |
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mobilenet_v3_small_excerpt_gen.py
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[CoreML EP] Enable inputs with dynamic shape (#16915)
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2023-08-03 18:15:00 -07:00 |
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model_containing_op_with_function_body.onnx
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model_resize_empty_optional_input.onnx
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skip the placeholder inputs while adding node inputs as sub-graph inputs (#13106)
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2022-09-26 21:06:29 -07:00 |
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model_with_external_initializer_come_from_user.onnx
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Provide an API to supply external initializers data from user buffers (#11109)
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2022-04-07 12:21:53 -07:00 |
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model_with_external_initializer_come_from_user.py
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Adopt linrtunner as the linting tool - take 2 (#15085)
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2023-03-24 15:29:03 -07:00 |
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model_with_external_initializers.onnx
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model_with_external_initializers.py
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Extend saving models optimized by inference session (#16912)
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2023-07-31 16:39:35 -07:00 |
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model_with_invalid_ort_config_json.onnx
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model_with_metadata.onnx
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model_with_metadata.py
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Adopt linrtunner as the linting tool - take 2 (#15085)
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2023-03-24 15:29:03 -07:00 |
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model_with_orig_ext_data.bin
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Extend saving models optimized by inference session (#16912)
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2023-07-31 16:39:35 -07:00 |
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model_with_orig_ext_data.onnx
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Extend saving models optimized by inference session (#16912)
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2023-07-31 16:39:35 -07:00 |
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model_with_valid_ort_config_json.onnx
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mul_1.noopset.onnx
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mul_1.onnx
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mul_16.onnx
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nhwc_conv_clip_relu.onnx
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XNNPACK EP (#11445)
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2022-06-03 20:22:34 +10:00 |
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nhwc_conv_clip_relu.txt
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XNNPACK EP (#11445)
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2022-06-03 20:22:34 +10:00 |
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nhwc_resize_scales_opset11.onnx
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[QNN EP] Fix shape inference of NHWC Resize (#15477)
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2023-04-20 07:25:25 -07:00 |
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nhwc_resize_scales_opset18.onnx
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[QNN EP] Fix shape inference of NHWC Resize (#15477)
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2023-04-20 07:25:25 -07:00 |
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nhwc_resize_sizes_opset11.onnx
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[QNN EP] Fix shape inference of NHWC Resize (#15477)
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2023-04-20 07:25:25 -07:00 |
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nhwc_resize_sizes_opset18.onnx
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[QNN EP] Fix shape inference of NHWC Resize (#15477)
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2023-04-20 07:25:25 -07:00 |
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nhwc_resize_sizes_opset18.quant.onnx
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[QNN EP] Fix shape inference of NHWC Resize (#15477)
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2023-04-20 07:25:25 -07:00 |
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nnapi_internal_uint8_support.onnx
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nnapi_internal_uint8_support.py
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Adopt linrtunner as the linting tool - take 2 (#15085)
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2023-03-24 15:29:03 -07:00 |
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nnapi_reshape_flatten_test.onnx
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nnapi_reshape_flatten_test.py
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Adopt linrtunner as the linting tool - take 2 (#15085)
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2023-03-24 15:29:03 -07:00 |
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nnapi_sigmoid_input_rank_test.onnx
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Add limit input rank <= 4 in NNAPI EP Sigmoid op support checker (#13019)
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2022-09-20 16:40:45 -07:00 |
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nnapi_sigmoid_input_rank_test.py
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Adopt linrtunner as the linting tool - take 2 (#15085)
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2023-03-24 15:29:03 -07:00 |
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onnx_backend_test_series_filters.jsonc
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To support size opset 19 (#15689)
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2023-08-11 14:48:53 -07:00 |
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onnx_backend_test_series_overrides.jsonc
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Add Bluestein Z-Chirp CPU EP implementation for the DFT operator (#15522)
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2023-04-18 09:06:05 -07:00 |
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optional_1.onnx
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Fix issue with schema lookup where there are custom ops using the ONNX domain (#14492)
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2023-02-03 08:05:18 +10:00 |
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optional_2.onnx
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Implement lite custom op API (#15778)
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2023-05-04 09:49:17 -07:00 |
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optional_3.onnx
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Implement lite custom op API (#15778)
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2023-05-04 09:49:17 -07:00 |
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optional_inputs_ir3.onnx
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optional_inputs_ir4.onnx
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optional_sequence_tensor.onnx
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Fix bug in MemcpyToHost (#10816)
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2022-03-10 07:02:27 -08:00 |
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ort_github_issue_4031.onnx
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ort_github_issue_4031.onnx.ort
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Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791)
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2022-09-20 14:24:59 -07:00 |
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ort_github_issue_4031.py
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Format all python files under onnxruntime with black and isort (#11324)
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2022-04-26 09:35:16 -07:00 |
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ort_github_issue_10305.onnx
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Fix GH Issue 10305 by adding implicit inputs to consumer nodes map. (#10319)
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2022-01-20 07:46:35 +10:00 |
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ort_github_issue_10305.py
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Format all python files under onnxruntime with black and isort (#11324)
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2022-04-26 09:35:16 -07:00 |
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ort_github_issue_11536.onnx
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Add better error message for subgraph output coming directly from outer scope value. (#11638)
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2022-05-28 08:04:27 +10:00 |
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ort_github_issue_12151.onnx
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Fix GH issue 12151 by using inverse perms for updating DQ axis attribute (#12158)
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2022-07-13 18:02:58 +10:00 |
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ort_github_issue_15949.onnx
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Fix some issues with NNAPI Softmax (#16095)
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2023-06-08 13:56:06 +10:00 |
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overridable_initializer.onnx
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packed_attention_fp16.onnx
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Add PackedAttention for packing mode (#14858)
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2023-03-21 12:59:29 -07:00 |
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packed_attention_fp16.rbp.onnx
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add cutlass fmha support in PackedAttention (#15838)
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2023-05-11 13:47:15 -07:00 |
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packed_attention_fp16.rbp.py
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add cutlass fmha support in PackedAttention (#15838)
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2023-05-11 13:47:15 -07:00 |
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packed_attention_fp32.onnx
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Add PackedAttention for packing mode (#14858)
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2023-03-21 12:59:29 -07:00 |
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Pads.bin
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pipeline_vectorize.onnx
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pyop_1.onnx
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pyop_2.onnx
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pyop_3.onnx
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qdq_with_multi_consumer_dq_nodes.onnx
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Add helper for optimizing a QDQ format model for usage with ORT. (#10595)
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2022-02-21 09:26:19 +10:00 |
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qnn_ep_partial_support.onnx
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[QNN EP] Add session option to disable fallback to default CPU EP (#16016)
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2023-05-23 17:56:32 -07:00 |
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reduced_build_test.onnx_model_with_excluded_ops
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reduced_build_test.readme.txt
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required_ops.config
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required_ops_and_types.config
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Include layout transformation ops in extended minimal build and above. (#11355)
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2022-04-27 10:31:02 -07:00 |
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required_ops_config.readme.txt
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scan_1.onnx
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sequence_construct.onnx
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sequence_insert.onnx
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sequence_length.onnx
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shape_then_slice_and_gather.onnx
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[CoreML EP] Add Shape, Gather, and Slice ops (#17153)
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2023-08-18 22:34:34 -07:00 |
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shape_then_slice_and_gather.py
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[CoreML EP] Add Shape, Gather, and Slice ops (#17153)
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2023-08-18 22:34:34 -07:00 |
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sklearn_bin_voting_classifier_soft.onnx
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sklearn_bin_voting_classifier_soft.onnx.ort
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Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791)
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2022-09-20 14:24:59 -07:00 |
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sklearn_bin_voting_classifier_soft.readme.txt
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sparse_initializer_as_output.onnx
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sparse_initializer_as_output.py
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Bump ruff in CI (#15533)
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2023-04-17 10:11:44 -07:00 |
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sparse_to_dense_matmul.onnx
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sparse_to_dense_matmul.py
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Bump ruff in CI (#15533)
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2023-04-17 10:11:44 -07:00 |
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subgraph_implicit_input_from_initializer.onnx
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subgraph_input_shadows_outer_scope_value.onnx
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test_cast_back_to_back_non_const_mixed_types_origin.onnx
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test_conv_follow_convtrans.onnx
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[XNNPACK] add more computation heavy ops (#13270)
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2022-11-29 09:09:26 +08:00 |
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test_conv_follow_convtrans_s8.onnx
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[XNNPACK] add more computation heavy ops (#13270)
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2022-11-29 09:09:26 +08:00 |
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test_kernel_info_get_const_input.onnx
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FasterTransformer model wrapper using custom op (#15013)
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2023-03-20 09:05:30 -07:00 |
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test_kernel_info_get_const_input.py
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Adopt linrtunner as the linting tool - take 2 (#15085)
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2023-03-24 15:29:03 -07:00 |
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test_model_with_fullonnxdomain.onnx
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test_resize.onnx
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[XNNPACK] add more computation heavy ops (#13270)
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2022-11-29 09:09:26 +08:00 |
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test_training_model.onnx
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test_training_model_0.onnx
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test_training_model_1.onnx
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test_training_model_2.onnx
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tree_ensemble_as_tensor.onnx
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Implement TreeEnsemble for opset(ai.onnx.ml)==3 (#10821)
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2022-03-30 12:53:12 +02:00 |
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trt_plugin_custom_op_test.onnx
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Add TRT plugins support using custom ops (#13847)
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2023-04-18 20:24:32 -07:00 |
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trt_plugin_custom_op_test.py
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Add TRT plugins support using custom ops (#13847)
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2023-04-18 20:24:32 -07:00 |
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unused_initializer.onnx
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VariedInputCustomOp.onnx
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zipmap_int64float.onnx
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zipmap_stringfloat.onnx
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