- 11 4月, 2023 9 次提交
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由 RedContritio 提交于
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由 mhy-666 提交于
* add softmax_with_cross_entropybf16 test * correct defalut value in testBF16/FP16 op * fix test checkout/grad, add skipif
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由 Thomas Young 提交于
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由 RedContritio 提交于
* support auto generate for op momentum optimizer * remove momentum_op.* and update signature * fix dgc momentum op maker error
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由 ykkk2333 提交于
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由 jjyaoao 提交于
* remove paddle/infrt/ * delete .lit_test_times.txt
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由 石晓伟 提交于
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由 Chitsing KUI 提交于
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由 Aurelius84 提交于
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- 10 4月, 2023 31 次提交
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由 lzydev 提交于
* autogen segment_pool * delete legacy_dygraph about segment_pool
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由 JYChen 提交于
* remove legacy profiler * rm test_parallel_executor_profiler
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由 HongyuJia 提交于
* [CustomOP unittest] Polish unit test, phi->custom * Change phi->custom in custom_linear_op.cc
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由 risemeup1 提交于
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由 jjyaoao 提交于
* delete paddle/fluid/operators/*_npu.* * try pass CI * try pass CI
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由 Difer 提交于
* add_fp_bf_for_flip_gaussian_random * forget convert uint * fix some error * fix some error
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由 jjyaoao 提交于
* delete paddle/fluid/operators/*_npu.* * try pass code-style
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由 JZ-LIANG 提交于
* unique id for mesh * rng ctrl * support dropout * register op * adopt for recompute * update unitest * support pp
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由 LyndonKong 提交于
* add PoissonNLLLoss API * update unittests * Fix poisson_nll_loss init and update data type support * remove type comment * Update doc string * Fix doc string erro * Fix doc string math equation format * Add float16 and bfloat16 support
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由 Zhang Ting 提交于
* support set master_grad * move register_hook to auto_cast * update unittest * fix fp16 test * update for review comments
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由 xiaoxiaohehe001 提交于
* Support two inputs of multihead attention named qk_multihead
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由 HongyuJia 提交于
* [Opt Performance] Optimize custom operator performance, reconstruct python API auto-gen, add cache and use const inference * opt AutoGradMeta implementation * remove profiler codes * fix unit test * change year, 2021->2023 * fix int64_t parse bug
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由 gouzil 提交于
* add autogen code bilinear_tensor_product * [phi] rm cc file
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由 cyberslack_lee 提交于
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由 lzydev 提交于
* autogen softmax_with_cross_entropy * fix error in softmax_with_cross_entropy version
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由 HongyuJia 提交于
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由 kangguangli 提交于
* add strategy force_sequential_run * remove flag * fix * fix * fix * fix * fix * fix * fix * fix * fix
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由 HongyuJia 提交于
* [enforce.h Decouple gflags.h] Move gflags.h from enforce.h to enforce.cc * Add gflags.h for other files * Add gflags.h for other files * Add gflags.h for blas_impl.hip.h * Add gflags.h for miopen_helper.h
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由 Vvsmile 提交于
* adjust defalut tolerance of output and grad * fix a bug in the grad of OpTest * fix the type of setting defalut value in optest, both forward and backward * add defalut * fix test_sum_op * adjust tolerance * fix the tolerance of eager * add bf16 and fp16 to the activation tests * remove some fixs * fix activation * fix fp16 * fix gelu * fix the activation tests * add bfloat16 specialization to singrad and cosgrad * fix bugs * fix bugs * add unittest * add skip * add fp/bf to rrelu/rrelu_grad * git add rrelu * fix bugs
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由 Wilber 提交于
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由 qizhaoaoe 提交于
* add fp16 and bf16 support for instance_norm * fix /= operator which not support bf16 * fix instance_norm_grad kernel and unittests. * fix fp32 unittests. * fix instance_norm_kernel and unittests. * fix instance_norm_grad_kernel and unittest threshold. * add fp16/bf16 for instance_norm_grad_grad op. * add bf16 dtype check. * fix conflicts. * fix cpu support for fp32 op and fix type in instance_norm_grad_kernel. * fix type in instance_norm_kernel. * fix bf16 outputs in unittests and refine codes. * fix dx computation. * delete unuseful params and head including. * add fp16/bf16 for static graph. * fix device condiction for instance_norm op. * fix instance_norm_grad_grad and bf16 op tests. * fix op_test to support grad of bf16 can be compared with fp32. * remove updates. * add self-defined grad.
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由 chalsliu 提交于
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由 Wang Xin 提交于
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由 huangjiyi 提交于
* update * fix bug * fix ci-windows-openblas * fix test_partial_sum_op * fix codestyle
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由 jjyaoao 提交于
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由 Zero Rains 提交于
* fix divide zero bug for softmax_with_cross_entropy * change the single test way * can run but slow. the most important is that I do not know why it slow * remove some useless commet * change the copyright to correct * remove some useless change * if repeat_times == 1, we will not use BroadcastKernel
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由 cyberslack_lee 提交于
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由 Asthestarsfalll 提交于
* Optimize the performance of logsumexp * Support zero-dim tensor
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由 lishicheng1996 提交于
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由 zyfncg 提交于
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由 Wang Xin 提交于
* add autogen code support for affine_grid op * update op_compat.yaml for affine_grid * update op_compat.yaml for affine_grid * fix AffineGridGradInferMeta * fix CI error * update AffineGridInferMeta
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