mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-08 07:39:33 +01:00
2752ad8045
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/14568 Previous import was 882c5283c54345d131e8fe5c859e4844dcf7ca8e Included changes: - **[f461f7a](https://github.com/onnx/onnx/commit/f461f7a)**: Show the op's type and name when the shape inference is failed. (#1623) <Jerry> - **[ab8aaf9](https://github.com/onnx/onnx/commit/ab8aaf9)**: Add scan test case (#1586) <G. Ramalingam> - **[c95357e](https://github.com/onnx/onnx/commit/c95357e)**: link the tutorial (#1650) <Lu Fang> - **[d7e2420](https://github.com/onnx/onnx/commit/d7e2420)**: Upgrade label encoder to support more input types (#1596) <Wei-Sheng Chin> - **[6425108](https://github.com/onnx/onnx/commit/6425108)**: Add Doc about Adding New Operator into ONNX (#1647) <Lu Fang> - **[295889c](https://github.com/onnx/onnx/commit/295889c)**: use an empty initializer to create map (#1643) <Lu Fang> - **[e38f3ec](https://github.com/onnx/onnx/commit/e38f3ec)**: Remove redundant const (#1639) <daquexian> - **[ea694bf](https://github.com/onnx/onnx/commit/ea694bf)**: implement fuse reduce->unsqueeze + fix assumption in nop_dropout pass (#1565) <Armen> - **[6db386e](https://github.com/onnx/onnx/commit/6db386e)**: make output shape clear enough for Softmax family (#1634) <Lu Fang> - **[2b67c6e](https://github.com/onnx/onnx/commit/2b67c6e)**: fix batchnorm doc (#1633) <Lu Fang> - **[c901784](https://github.com/onnx/onnx/commit/c901784)**: remove inappropriate consts (#1632) <Lu Fang> - **[de82119](https://github.com/onnx/onnx/commit/de82119)**: Shape inference fix for broadcast, concat and scan (#1594) <KeDengMS> - **[d7ffe3b](https://github.com/onnx/onnx/commit/d7ffe3b)**: Update Optimizer Docs (#1607) <Armen> - **[d09d139](https://github.com/onnx/onnx/commit/d09d139)**: mark PROTOBUF_INCLUDE_DIRS as BUILD_INTERFACE (#1466) <Yuta Okamoto> - **[eb4b7c2](https://github.com/onnx/onnx/commit/eb4b7c2)**: allow variadic parameters of different types (#1615) <G. Ramalingam> - **[4166246](https://github.com/onnx/onnx/commit/4166246)**: Fix onnxifi test (#1617) <Yinghai Lu> - **[6706a4d](https://github.com/onnx/onnx/commit/6706a4d)**: Fix a bug in vector address access (#1598) <Raymond Yang> - **[ae39866](https://github.com/onnx/onnx/commit/ae39866)**: Separate types of inputs 1 and 2 in OneHot op. (#1610) <Spandan Tiwari> - **[45ba661](https://github.com/onnx/onnx/commit/45ba661)**: Handle new types in the switch. (#1608) <Dmitri Smirnov> - **[14853b6](https://github.com/onnx/onnx/commit/14853b6)**: Bump docker image version to 230 used in CircleCI (#1606) <bddppq> - **[e0993b8](https://github.com/onnx/onnx/commit/e0993b8)**: [onnxifi] Make sure that backend handles run async. (#1599) <Roman Dzhabarov> - **[e6965cc](https://github.com/onnx/onnx/commit/e6965cc)**: Introduce SparseTensor ML proto (#1554) <Dmitri Smirnov> - **[75b782f](https://github.com/onnx/onnx/commit/75b782f)**: In driver test check the return status of onnxGetBackendIDs (#1597) <bddppq> - **[c05b364](https://github.com/onnx/onnx/commit/c05b364)**: Make CI log less verbose (#1595) <bddppq> - **[fa568e4](https://github.com/onnx/onnx/commit/fa568e4)**: Loop type shape inferencing (#1591) <Scott McKay> - **[937e64c](https://github.com/onnx/onnx/commit/937e64c)**: add uint8 (#1590) <Lu Fang> - **[f86e951](https://github.com/onnx/onnx/commit/f86e951)**: Add domain as an optional parameter for make_node function (#1588) <Young Kim> - **[ff45588](https://github.com/onnx/onnx/commit/ff45588)**: Remove unreachable code in shape_inference.h (#1585) <Changming Sun> - **[f7dcad0](https://github.com/onnx/onnx/commit/f7dcad0)**: Add several hyperbolic function ops. (#1499) <Sergii Dymchenko> - **[a60ac7d](https://github.com/onnx/onnx/commit/a60ac7d)**: Add OneHot op to ONNX. (#1567) <Spandan Tiwari> - **[f6c3a7e](https://github.com/onnx/onnx/commit/f6c3a7e)**: [compiler flag] Issue a warning if class has virtual method but missing virtual dtor. (#1583) <Roman Dzhabarov> - **[88d1784](https://github.com/onnx/onnx/commit/88d1784)**: Fix MaxUnpool shape inference when output_shape is provided as input (#1578) <Spandan Tiwari> - **[20041b7](https://github.com/onnx/onnx/commit/20041b7)**: Add type shape inferencing for the If operator (#1571) <Scott McKay> - **[d6c4c75](https://github.com/onnx/onnx/commit/d6c4c75)**: Add a virtual destructor to GraphInferencer (#1574) <Changming Sun> - **[a339598](https://github.com/onnx/onnx/commit/a339598)**: fix ConvTranspose spec (#1566) <Wenhao Hu> Reviewed By: zrphercule Differential Revision: D13263831 fbshipit-source-id: a2ff22c6454e2430429e5a7d18d21661a7ffb0cb |
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| .. | ||
| docs | ||
| examples | ||
| helpers | ||
| ideep | ||
| layers | ||
| mint | ||
| mkl | ||
| modeling | ||
| models | ||
| onnx | ||
| operator_test | ||
| predictor | ||
| rnn | ||
| serialized_test | ||
| test | ||
| trt | ||
| __init__.py | ||
| _import_c_extension.py | ||
| allcompare_test.py | ||
| attention.py | ||
| benchmark_generator.py | ||
| binarysize.py | ||
| brew_test.py | ||
| brew.py | ||
| build.py | ||
| cached_reader.py | ||
| caffe_translator_test.py | ||
| caffe_translator.py | ||
| checkpoint_test.py | ||
| checkpoint.py | ||
| CMakeLists.txt | ||
| cnn.py | ||
| compatibility.py | ||
| context_test.py | ||
| context.py | ||
| control_ops_grad.py | ||
| control_ops_util.py | ||
| control_test.py | ||
| control.py | ||
| convert_test.py | ||
| convert.py | ||
| convnet_benchmarks_test.py | ||
| convnet_benchmarks.py | ||
| core_gradients_test.py | ||
| core_test.py | ||
| core.py | ||
| crf_predict.py | ||
| crf_viterbi_test.py | ||
| crf.py | ||
| data_parallel_model_test.py | ||
| data_parallel_model.py | ||
| data_workers_test.py | ||
| data_workers.py | ||
| dataio_test.py | ||
| dataio.py | ||
| dataset.py | ||
| db_file_reader.py | ||
| db_test.py | ||
| device_checker.py | ||
| dlpack.h | ||
| dyndep.py | ||
| embedding_generation_benchmark.py | ||
| experiment_util.py | ||
| extension_loader.py | ||
| functional_test.py | ||
| functional.py | ||
| fused_8bit_rowwise_conversion_ops_test.py | ||
| gradient_check_test.py | ||
| gradient_checker.py | ||
| gru_cell.py | ||
| hip_test_util.py | ||
| hsm_util.py | ||
| hypothesis_test_util.py | ||
| hypothesis_test.py | ||
| ideep_test_util.py | ||
| layer_model_helper.py | ||
| layer_model_instantiator.py | ||
| layer_parameter_sharing_test.py | ||
| layer_test_util.py | ||
| layers_test.py | ||
| lengths_reducer_fused_8bit_rowwise_ops_test.py | ||
| lengths_reducer_rowwise_8bit_ops_test.py | ||
| lstm_benchmark.py | ||
| memonger_test.py | ||
| memonger.py | ||
| mkl_test_util.py | ||
| model_device_test.py | ||
| model_helper_test.py | ||
| model_helper.py | ||
| modifier_context.py | ||
| mpi_python.cc | ||
| muji_test.py | ||
| muji.py | ||
| net_builder_test.py | ||
| net_builder.py | ||
| net_drawer.py | ||
| net_printer_test.py | ||
| net_printer.py | ||
| nomnigraph_test.py | ||
| nomnigraph_transformations_test.py | ||
| nomnigraph_transformations.py | ||
| nomnigraph.py | ||
| normalizer_context.py | ||
| normalizer_test.py | ||
| normalizer.py | ||
| numa_benchmark.py | ||
| numa_test.py | ||
| observer_test.py | ||
| optimizer_context.py | ||
| optimizer_test_util.py | ||
| optimizer_test.py | ||
| optimizer.py | ||
| parallel_workers_test.py | ||
| parallel_workers.py | ||
| parallelize_bmuf_distributed_test.py | ||
| pipeline_test.py | ||
| pipeline.py | ||
| predictor_constants.py | ||
| pybind_state_dlpack.cc | ||
| pybind_state_dlpack.h | ||
| pybind_state_gpu.cc | ||
| pybind_state_hip.cc | ||
| pybind_state_ideep.cc | ||
| pybind_state_int8.cc | ||
| pybind_state_nomni.cc | ||
| pybind_state_registry.cc | ||
| pybind_state_registry.h | ||
| pybind_state.cc | ||
| pybind_state.h | ||
| python_op_test.py | ||
| queue_util.py | ||
| record_queue.py | ||
| recurrent.py | ||
| regularizer_context.py | ||
| regularizer_test.py | ||
| regularizer.py | ||
| rnn_cell.py | ||
| schema_test.py | ||
| schema.py | ||
| scope_test.py | ||
| scope.py | ||
| session_test.py | ||
| session.py | ||
| sparse_to_dense_mask_test.py | ||
| sparse_to_dense_test.py | ||
| task.py | ||
| test_util.py | ||
| text_file_reader.py | ||
| timeout_guard.py | ||
| toy_regression_test.py | ||
| transformations_test.py | ||
| transformations.py | ||
| tt_core_test.py | ||
| tt_core.py | ||
| utils_test.py | ||
| utils.py | ||
| visualize.py | ||
| workspace_test.py | ||
| workspace.py | ||