..
CNTK
Use yapf to format python ( #3276 )
2020-03-20 14:34:10 -07:00
custom_op_library
CSharp api and test for loading custom op shared library ( #2420 )
2019-11-21 15:45:49 -08:00
ngraph
Use yapf to format python ( #3276 )
2020-03-20 14:34:10 -07:00
squeezenet
transform
Use yapf to format python ( #3276 )
2020-03-20 14:34:10 -07:00
abs_free_dimensions.onnx
Implement L1 graph transformer for free dimension override ( #1825 )
2019-09-20 10:52:14 -07:00
add_opset_314159.onnx
Merge windowsai (winml layering) into master ( #2956 )
2020-02-04 17:12:19 -08:00
capi_symbolic_dims.onnx
Add ability to get symbolic dimension info for graph inputs and outputs. ( #2051 )
2019-10-12 15:46:28 -07:00
capi_symbolic_dims.py
Use yapf to format python ( #3276 )
2020-03-20 14:34:10 -07:00
conv_autopad.onnx
foo_1.onnx
a subset of the models in testdata were missing an ir_version. update this ir_version to 3. ( #2702 )
2019-12-20 13:56:11 -08:00
foo_2.onnx
a subset of the models in testdata were missing an ir_version. update this ir_version to 3. ( #2702 )
2019-12-20 13:56:11 -08:00
fuse_mul_1.onnx
a subset of the models in testdata were missing an ir_version. update this ir_version to 3. ( #2702 )
2019-12-20 13:56:11 -08:00
identity_string.onnx
invalid_dim_param_value_repetition.onnx
LabelEncoder.onnx
layernorm.onnx
Add layernorm operator ( #1967 )
2019-10-03 11:32:13 -07:00
logicaland.onnx
matmul_1.onnx
a subset of the models in testdata were missing an ir_version. update this ir_version to 3. ( #2702 )
2019-12-20 13:56:11 -08:00
matmul_2.onnx
a subset of the models in testdata were missing an ir_version. update this ir_version to 3. ( #2702 )
2019-12-20 13:56:11 -08:00
mlnet_encoder.onnx
model_containing_op_with_function_body.onnx
Handle nodes with subgraphs in ORT function handling implementation ( #2053 )
2019-10-10 16:07:42 -07:00
model_with_invalid_ort_config_json.onnx
a subset of the models in testdata were missing an ir_version. update this ir_version to 3. ( #2702 )
2019-12-20 13:56:11 -08:00
model_with_valid_ort_config_json.onnx
Support a few new C/C++ APIs ( #2794 )
2020-02-10 16:18:42 -08:00
mul_1.noopset.onnx
a subset of the models in testdata were missing an ir_version. update this ir_version to 3. ( #2702 )
2019-12-20 13:56:11 -08:00
mul_1.onnx
a subset of the models in testdata were missing an ir_version. update this ir_version to 3. ( #2702 )
2019-12-20 13:56:11 -08:00
mul_16.onnx
a subset of the models in testdata were missing an ir_version. update this ir_version to 3. ( #2702 )
2019-12-20 13:56:11 -08:00
optional_1.onnx
a subset of the models in testdata were missing an ir_version. update this ir_version to 3. ( #2702 )
2019-12-20 13:56:11 -08:00
optional_inputs_ir3.onnx
optional_inputs_ir4.onnx
overridable_initializer.onnx
Expose GetOverridableInitializers via Python and C/C++ API ( #1878 )
2019-09-19 15:43:28 -07:00
pipeline_vectorize.onnx
pyop_1.onnx
scan_1.onnx
sequence_construct.onnx
Add support for output seq(tensor) in python binding and test framework. Implement SequenceConstruct, SequenceEmpty, SequenceInsert and SequenceErase ops. ( #2040 )
2019-10-10 15:58:49 -07:00
sequence_insert.onnx
Add support for output seq(tensor) in python binding and test framework. Implement SequenceConstruct, SequenceEmpty, SequenceInsert and SequenceErase ops. ( #2040 )
2019-10-10 15:58:49 -07:00
sequence_length.onnx
Support seq(tensor), implement 2 sequence ops that use the new type. ( #1983 )
2019-10-07 15:35:09 -07:00
subgraph_implicit_input_from_initializer.onnx
subgraph_input_shadows_outer_scope_value.onnx
Don't create implicit input for outer scope value if there is a subgraph input with the same name. ( #1186 )
2019-08-02 07:23:41 +10:00
test_cast_back_to_back_non_const_mixed_types_origin.onnx
Fix reuse logic in allocation planner. ( #2393 )
2019-11-13 22:51:12 -08:00
test_model_with_fullonnxdomain.onnx
Fix reading of onnx domain causing one of the automl models to break in 0.5 release. ( #1694 )
2019-08-29 12:18:39 -07:00
zipmap_int64float.onnx
zipmap_stringfloat.onnx