- 23 3月, 2023 34 次提交
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由 Aurelius84 提交于
* [Dy2St]Fix clone for test state problem * clean code
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由 Nyakku Shigure 提交于
* [CodeStyle] update ruff config with `#` style to reduce conflicts * revert C403-C406 * remove B905; test=document_fix
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由 HongyuJia 提交于
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由 HongyuJia 提交于
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由 HongyuJia 提交于
[Polish Log] Polish Tensor operants' log: 'OperantsManager reusing XXX mode API {func_name}' (#51991) * [Polish Log] Polish Tensor operants' log: 'OperantsManager reusing XXX mode API {func_name}' * Make API name more precise
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由 zhangyikun02 提交于
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由 Wangzheee 提交于
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由 xiaoguoguo626807 提交于
* delete prim flag for matmul_2_grad * delete prim flag for matmul_2_grad * add new setgradoutmeta for matmul_double_grad_node * modify test and delete log * deal with review
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由 chenjian 提交于
* add meshgrid composite rule * add meshgrid composite rule * update * add into CMakeLists * fix * update * update * optimize code * fix meshgrid op * update test
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由 iSerendipity 提交于
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由 ZhouMengLei1999 提交于
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由 sneaxiy 提交于
* remove fluid deps in fused_linear_param_grad_add_kernel * fix compile error * fix ut error * follow comments
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由 limingshu 提交于
* first commit * fix bugs * remove_useless sync
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由 wanghuancoder 提交于
* delete old dygraph xpu op test
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由 Huang Jiyi 提交于
* unify add_position_encoding * unify affine_channel * unify alloc_float_status * unify allreduce * unify alltoall * unify anchor_generator * unify ascend_trigger * fix bug * fix test
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由 Huang Jiyi 提交于
* update * update * update * update * update * fix test
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由 cxxly 提交于
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由 caozhou 提交于
* add patterns * update rule based tuner * add forward sub program completion * add unittest * add bwd sub program completion
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由 zqw_1997 提交于
* to support cuda12, pybind need to upgrade to v2.10.0 * add DEPS of pybind in test_custom_plugin_creater.cc * only change the tag * please let CI pass * try pybind v2.10/3 * modify the include header in test * code check
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由 Lin Manhui 提交于
* Add bf16 support for elementwise_pow * Update ut
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由 Infinity_lee 提交于
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由 Yuang Liu 提交于
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由 yeliang2258 提交于
* add bf16 and fp16 tests * fix dtype check
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由 Huang Zhengjie 提交于
* fix distributed graph engine
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由 Zheng-Bicheng 提交于
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由 LoneRanger 提交于
* add fp16 and bfp16 for temporalshift * add fp16 and bfp16 for complex * fix bug * fix bug * add fp16 and bf16 for conj * fix bug * fix bug * Update complex_kernel.h fix bug * Update temporal_shift_grad_kernel.h fix bug * Update temporal_shift_kernel.h fix bug
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由 PuQing 提交于
* add nanmedian output defs * remove the multiclass_nms3 momentum
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由 Infinity_lee 提交于
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由 PuQing 提交于
[CodeStyle][C408][C409][C410] Fix unnecessary <dict/list/tuple> call and unnecessary <list/tuple> passed to <list/tupule>() (#51928) * autofix * add select config * autofix C410 * add C410 select
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由 denglianbin 提交于
* finish pr * skip cpu test for logical * change test style * fix error.
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由 haosicheng 提交于
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由 Jiabin Yang 提交于
* allow return none when stop_gradient=True * remove useless code * refine code * refine code * fix test cast * change more test * add more tests * fix error msg in pylayer
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由 Infinity_lee 提交于
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由 张春乔 提交于
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- 22 3月, 2023 6 次提交
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由 HappyHeavyRain 提交于
* test_get_kernel * add invoke signature * change reduce_max * change frobenius_norm * reset reduce_max according to composite and change reduce_all * fix the bug when Scalar(*) * fix 'scalar when support_tensor' * change code according to review * change 'keep_signature' to 'manual_signature' and add some erro info * support optimizers autogen * change sgd yaml * change generate signature * fix test/cpp/new_executor/CM * reset signature generated function * change signature funciton * change signature funciton
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由 YangQun 提交于
* support 0-d tensor for element wise unary ops * fix python code style check * fix approval check * support 0-d tensor for onednn softmax and logsoftmax kernels * fix commnets * fix some unittests
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由 joanna.wozna.intel 提交于
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由 ShenLiang 提交于
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由 duanyanhui 提交于
* fix distribute_fpn_proposals * fix bug
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由 Ghost Screaming 提交于
* Add fused_feed_forward pass for semi-automatic static graph training. * Add fused_feedforward property in parallel_executor.cc * Polish code. * Polish fused feed_forward pass code. Support use_dropout1 and use_dropout2 option. * Support model parallel in fused_feedforward pass.
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