- 25 3月, 2022 7 次提交
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由 FlyingQianMM 提交于
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由 0x45f 提交于
* Fix loop index for FillZeroForEmptyGradInputs * Call fill zero in run_program_grad
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由 seemingwang 提交于
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由 Aganlengzi 提交于
* [NPU] add merged_momentum * fix * fix device
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由 Zhangjingyu06 提交于
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由 zyfncg 提交于
* Scalar support marking data_type in yaml * fix code-gene bug
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由 FlyingQianMM 提交于
* support get_item where the index is a bool scalar tensor * add unittests for supporting get_item where the index is a bool scalar tensor
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- 24 3月, 2022 33 次提交
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由 Chen Weihang 提交于
* add mean phi kernel * remove original mean kernel * add alias name
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由 Chen Weihang 提交于
* move batch size like infershape * revert other op change * call infermeta in infershape * adjust batchsize like pos
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由 zhiboniu 提交于
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由 Leo Chen 提交于
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由 jiangcheng 提交于
* fix build_cinn_pass internal var may be control var problem * add annotation and vlog by review advice
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由 zyfncg 提交于
* support intermediate for saprse api * close intermediate in yaml * fix dygraph_api dep for eager
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由 zhangbo9674 提交于
* approve amp for intermediate_dygraph * add amp_utils for intermediate_dygraph * add amp needcast check for mlu & npu * test unittest * add SetGradNode for set_stop_gradient && add checktensor for GradientHooks * refine code * refien unittest of imperative_amp for new dygraph * inplace api skip amp * add test_imperative_qat_amp for intermediate amp * refine code * refine test_amp ci strategy * refine unittest code * refine amp_utils code * refine amp getpromotetype for some special op * refine unittest code
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由 Aurelius84 提交于
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由 joanna.wozna.intel 提交于
* Correct MultipleQuantizeSquash * Correct logging
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由 Ren Wei (任卫) 提交于
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由 Roc 提交于
* # This is a combination of 10 commits. # The first commit's message is: add expert count op add ut for expert_count # This is the 2nd commit message: update UT only for cuda # This is the 3rd commit message: fix for rocm # This is the 4th commit message: update ut # This is the 5th commit message: add moe module # This is the 6th commit message: add expert count op add ut for expert_count # This is the 7th commit message: update UT only for cuda # This is the 8th commit message: update ut # This is the 9th commit message: add moe module # This is the 10th commit message: make expert count private * add assign pos op * fix upper num name * add api _assign pos * add ut for assign pos op * update date * fix for win * update for test (timeout) * fix ut * update * fix ut for number count Co-authored-by: Nhlygit66666 <2570058140@qq.com>
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由 lilong12 提交于
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由 Guoxia Wang 提交于
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由 Sing_chan 提交于
* make vcvars64 and cuda_version can be set in xly pipe * make third_party_path reused by ci and build pipe;test=windows_ci_inference;test=windows_op;test=windows_ci
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由 tianshuo78520a 提交于
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由 liutiexing 提交于
* add align for WorkQueue * add spinlock * merge develop * merge * Add EventsWaiter * Add EventsWaiter * update * Revert "Add EventsWaiter" This reverts commit e206173aa9be7401b83a53581627bfaf557c8fb2. * update * update Error MSG * update EventsWaiter * update Co-authored-by: Nliutiexing <liutiexing@google.com>
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由 kuizhiqing 提交于
* test=document_fix , fix launch doc * test=document_fix , fix typo
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由 Jack Zhou 提交于
* Fix rnn, wmt16 docs;test=document_fix * Fix wmt14 docs;test=document_fix * Add more description;test=document_fix
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由 xiayanming 提交于
* [Auto Parallel] gradient merge pass support dist attribute
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由 zhangkaihuo 提交于
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由 zhaocaibei123 提交于
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由 caozhou 提交于
* migrate infershape * fix tril_triu infershape error * fix qr_op infershape * add parse qr mode func * move order
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由 huzhiqiang 提交于
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由 Zhanlue Yang 提交于
* [Refactor] refactored eager_gen.py PR #1 * [Refactor] refactored eager_gen.py PR #1 * Refactored version 2 * Added automatic code generation utils * Fixed merge issues
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由 huzhiqiang 提交于
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由 Sing_chan 提交于
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由 ronnywang 提交于
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由 Jiabin Yang 提交于
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由 kuizhiqing 提交于
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由 Zhanlue Yang 提交于
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由 王明冬 提交于
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由 seemingwang 提交于
* extract sub-graph * graph-engine merging * fix * fix * fix heter-ps config * test performance * test performance * test performance * test * test * update bfs * change cmake
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由 xiongkun 提交于
Polish optest: refine the optest parameter logic. support name, dtype, out, output in arbitrary position (#40824) * 1. add the python api grad 2. add final and intermediate state vlog 3. change the python_api error logic * add python api or close the check_eager=True * fix the compatibility * matmul * disable unittests: test_elementwise_add_op test_scatter_nd_op test_gather_nd_op test_scatter_op test_index_sample_op test_elementwise_add_mkldnn_op * refine the logic of prepara_parameter logic * fix Tensor(gpu) 2 Scalar segment fault.
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