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onnxruntime/onnxruntime/test/testdata
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JiCheng 4f309f05ca
[CPU] Resize of Opset 18 (#13890) 
### Description

To Implement Resize 18.
This PR depends on https://github.com/microsoft/onnxruntime/pull/13765.

### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
2023-01-14 08:57:23 +10:00
..
cloud_models CloudEP (#13855) 2023-01-03 10:03:15 -08:00
CNTK Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
custom_execution_provider_library Multi-stream execution support (#13495) 2022-12-15 07:39:29 -08:00
custom_op_invalid_library Improve custom op library handle cleanup (#14099) 2023-01-04 17:56:29 -08:00
custom_op_library Add ability to register custom ops by specifying a function name (#14177) 2023-01-12 15:11:34 +10:00
multi_stream_models Use json format to save and load partition config (#14169) 2023-01-11 10:03:14 -08:00
ort_minimal_e2e_test_data/test_voice_commands
ort_minimal_test_models Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791) 2022-09-20 14:24:59 -07:00
snpe Snpe ep (#11665) 2022-06-03 14:10:02 -07:00
squeezenet
test_data_generation Multi-tensor SGDOptimizer (on device training) (#14083) 2023-01-11 10:15:53 -08:00
training_api Training API to export the eval model to an inference model (#13345) 2022-10-27 09:34:01 -07:00
transform Replace all numpy.bool by python builtin bool (#14014) 2022-12-23 09:27:23 +10:00
transformers Some changes to Sampling Op (#14218) 2023-01-12 14:15:26 -08:00
TRTEP_test_model Update engine hash id generator with model name/model content/metadata (#13015) 2022-09-21 11:10:05 -07:00
abs_free_dimensions.onnx
add_opset_314159.onnx
alloc_tensor_reuse.onnx
attention_mask1d_fp16.onnx [CUDA] Add TensorRT fused attention fp16 v2 kernels (#12814) 2022-09-13 15:16:12 -07:00
attention_mask1d_fp32.onnx [CUDA] Add TensorRT fused attention fp16 v2 kernels (#12814) 2022-09-13 15:16:12 -07:00
attention_mask2d_fp32.onnx [CUDA] Add TensorRT fused attention fp16 v2 kernels (#12814) 2022-09-13 15:16:12 -07:00
attention_past_state.onnx
attention_past_state.u8s8.onnx
attention_past_state.u8u8.onnx
bart_tiny.onnx
bert_toy_optimized.onnx
bert_toy_postprocessed.onnx
capi_symbolic_dims.onnx
capi_symbolic_dims.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
ckpt_mnist.pt
constant_floats.onnx Set dims for constant with multiple values (#11116) 2022-04-06 07:39:07 +10:00
conv_autopad.onnx
conv_qdq_s8s8.onnx [xnnpack] basic QDQ operators support (#11912) 2022-08-11 10:12:51 +08:00
conv_qdq_s8s8_perchannel.onnx [xnnpack] basic QDQ operators support (#11912) 2022-08-11 10:12:51 +08:00
conv_qdq_u8u8.onnx [xnnpack] basic QDQ operators support (#11912) 2022-08-11 10:12:51 +08:00
coreml_argmax_cast_test.onnx
coreml_argmax_cast_test.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
crop_and_resize.onnx Cancel transpose optimizer for resize (#9870) 2021-11-29 22:30:16 -08:00
custom_op_negpos.onnx Integrate onnxruntime-extensions into onnxruntime. (#8143) 2021-07-01 09:34:03 -07:00
custom_op_string_lower.onnx Integrate onnxruntime-extensions into onnxruntime. (#8143) 2021-07-01 09:34:03 -07:00
custom_op_variadic_io.onnx Support for custom op variadic inputs/outputs (#13946) 2022-12-23 11:41:15 -08:00
custom_op_variadic_undef_io.onnx Support for custom op variadic inputs/outputs (#13946) 2022-12-23 11:41:15 -08:00
dynamic_quantize_matmul_int8.onnx
dynamic_quantize_matmul_int8_bias.onnx
dynamic_quantize_matmul_test.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
dynamic_quantize_matmul_uint8.onnx
dynamic_quantize_matmul_uint8_bias.onnx
ep_dynamic_graph_input_test.onnx Add logic to NNAPI EP to exclude pre-processing involving dynamic shapes when partitioning (#10452) 2022-02-02 15:54:19 -08:00
ep_dynamic_graph_input_test.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
ep_partitioning_test_1.onnx
ep_partitioning_test_2.onnx
ep_partitioning_tests.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
foo_1.onnx
foo_1.onnx.ort Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791) 2022-09-20 14:24:59 -07:00
foo_2.onnx
foo_3.onnx
foo_bar_1.onnx
foo_bar_2.onnx
foo_bar_3.onnx
function_opset_test.onnx
function_with_variadics.onnx Add handling for variadic inputs/outputs in a function. (#13140) 2022-09-30 14:51:17 +10:00
fuse_mul_1.onnx
gh_issue_9671.onnx Fix Issue #9671 (#9691) 2021-11-12 07:18:16 +10:00
gh_issue_11717.onnx Skip Constant Folding for ops producing an optional type output (#11839) 2022-06-30 13:38:35 -07:00
identity_9799.onnx Fix potential data race with OrtValue usage in Python (#9841) 2021-11-23 14:34:24 -08:00
identity_string.onnx
initializer_as_output.onnx
invalid_dim_param_value_repetition.onnx
issue4829.onnx
LabelEncoder.onnx
layernorm.onnx
layernorm_no_bias.onnx
logicaland.onnx
matmul_1.onnx
matmul_2.onnx
matmul_integer_to_float.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
matmul_integer_to_float_int8.onnx enable s8s8 QDQ fusion on ARM (#9961) 2021-12-08 18:13:13 -08:00
matmul_integer_to_float_int8_bias.onnx enable s8s8 QDQ fusion on ARM (#9961) 2021-12-08 18:13:13 -08:00
matmul_integer_to_float_int8_int8.onnx add missing test files (#9989) 2021-12-09 13:25:15 -08:00
matmul_integer_to_float_int8_int8_bias.onnx add missing test files (#9989) 2021-12-09 13:25:15 -08:00
matmul_integer_to_float_uint8.onnx enable s8s8 QDQ fusion on ARM (#9961) 2021-12-08 18:13:13 -08:00
matmul_integer_to_float_uint8_bias.onnx enable s8s8 QDQ fusion on ARM (#9961) 2021-12-08 18:13:13 -08:00
mlnet_encoder.onnx
mnist.basic.ort Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791) 2022-09-20 14:24:59 -07:00
mnist.basic.v4.ort Add backwards compatibility for all versions of ORT format model in full build. (#13242) 2022-10-12 17:45:52 +10:00
mnist.internal_testing_ep.ort Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791) 2022-09-20 14:24:59 -07:00
mnist.onnx
mnist.readme.txt Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791) 2022-09-20 14:24:59 -07:00
model_containing_op_with_function_body.onnx
model_resize_empty_optional_input.onnx skip the placeholder inputs while adding node inputs as sub-graph inputs (#13106) 2022-09-26 21:06:29 -07:00
model_with_external_initializer_come_from_user.onnx Provide an API to supply external initializers data from user buffers (#11109) 2022-04-07 12:21:53 -07:00
model_with_external_initializer_come_from_user.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
model_with_external_initializers.onnx
model_with_external_initializers.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
model_with_invalid_ort_config_json.onnx
model_with_metadata.onnx Add metadata_props to ORT model (#8340) 2021-07-09 11:28:27 -07:00
model_with_metadata.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
model_with_valid_ort_config_json.onnx
mul_1.noopset.onnx
mul_1.onnx
mul_16.onnx
nhwc_conv_clip_relu.onnx XNNPACK EP (#11445) 2022-06-03 20:22:34 +10:00
nhwc_conv_clip_relu.txt XNNPACK EP (#11445) 2022-06-03 20:22:34 +10:00
nnapi_internal_uint8_support.onnx [NNAPI EP] Fix MaxPool error using uint8 (#9129) 2021-09-21 00:44:43 -07:00
nnapi_internal_uint8_support.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
nnapi_reshape_flatten_test.onnx
nnapi_reshape_flatten_test.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
nnapi_sigmoid_input_rank_test.onnx Add limit input rank <= 4 in NNAPI EP Sigmoid op support checker (#13019) 2022-09-20 16:40:45 -07:00
nnapi_sigmoid_input_rank_test.py Add limit input rank <= 4 in NNAPI EP Sigmoid op support checker (#13019) 2022-09-20 16:40:45 -07:00
onnx_backend_test_series_filters.jsonc [CPU] Resize of Opset 18 (#13890) 2023-01-14 08:57:23 +10:00
onnx_backend_test_series_overrides.jsonc register signal ops for opset 17 (#11778) 2022-06-27 10:26:55 +10:00
optional_1.onnx
optional_inputs_ir3.onnx
optional_inputs_ir4.onnx
optional_sequence_tensor.onnx Fix bug in MemcpyToHost (#10816) 2022-03-10 07:02:27 -08:00
ort_github_issue_4031.onnx
ort_github_issue_4031.onnx.ort Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791) 2022-09-20 14:24:59 -07:00
ort_github_issue_4031.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
ort_github_issue_10305.onnx Fix GH Issue 10305 by adding implicit inputs to consumer nodes map. (#10319) 2022-01-20 07:46:35 +10:00
ort_github_issue_10305.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
ort_github_issue_11536.onnx Add better error message for subgraph output coming directly from outer scope value. (#11638) 2022-05-28 08:04:27 +10:00
ort_github_issue_12151.onnx Fix GH issue 12151 by using inverse perms for updating DQ axis attribute (#12158) 2022-07-13 18:02:58 +10:00
overridable_initializer.onnx
Pads.bin
pipeline_vectorize.onnx
pyop_1.onnx
pyop_2.onnx
pyop_3.onnx
qdq_with_multi_consumer_dq_nodes.onnx Add helper for optimizing a QDQ format model for usage with ORT. (#10595) 2022-02-21 09:26:19 +10:00
reduced_build_test.onnx_model_with_excluded_ops
reduced_build_test.readme.txt
required_ops.config Add SparseToDenseMatMul to the list of required by test ops (#8774) 2021-08-18 14:08:07 -07:00
required_ops_and_types.config Include layout transformation ops in extended minimal build and above. (#11355) 2022-04-27 10:31:02 -07:00
required_ops_config.readme.txt
scan_1.onnx
sequence_construct.onnx
sequence_insert.onnx
sequence_length.onnx
sklearn_bin_voting_classifier_soft.onnx
sklearn_bin_voting_classifier_soft.onnx.ort Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791) 2022-09-20 14:24:59 -07:00
sklearn_bin_voting_classifier_soft.readme.txt
sparse_initializer_as_output.onnx Implement SparseTensor and infrastructure suppport and advance ONNX commit (#8038) 2021-07-22 15:24:36 -07:00
sparse_initializer_as_output.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
sparse_to_dense_matmul.onnx Implement SparseTensor and infrastructure suppport and advance ONNX commit (#8038) 2021-07-22 15:24:36 -07:00
sparse_to_dense_matmul.py Format all python files under onnxruntime with black and isort (#11324) 2022-04-26 09:35:16 -07:00
subgraph_implicit_input_from_initializer.onnx
subgraph_input_shadows_outer_scope_value.onnx
test_cast_back_to_back_non_const_mixed_types_origin.onnx
test_conv_follow_convtrans.onnx [XNNPACK] add more computation heavy ops (#13270) 2022-11-29 09:09:26 +08:00
test_conv_follow_convtrans_s8.onnx [XNNPACK] add more computation heavy ops (#13270) 2022-11-29 09:09:26 +08:00
test_model_with_fullonnxdomain.onnx
test_resize.onnx [XNNPACK] add more computation heavy ops (#13270) 2022-11-29 09:09:26 +08:00
test_training_model.onnx
test_training_model_0.onnx
test_training_model_1.onnx
test_training_model_2.onnx
tree_ensemble_as_tensor.onnx Implement TreeEnsemble for opset(ai.onnx.ml)==3 (#10821) 2022-03-30 12:53:12 +02:00
unused_initializer.onnx
VariedInputCustomOp.onnx
zipmap_int64float.onnx
zipmap_stringfloat.onnx