- 19 10月, 2022 19 次提交
-
-
由 Weilong Wu 提交于
-
由 Wang Xin 提交于
-
由 RichardWooSJTU 提交于
-
由 Xinger 提交于
-
由 Nyakku Shigure 提交于
-
由 Yuanle Liu 提交于
-
由 zyfncg 提交于
-
由 zyfncg 提交于
* rename op in yaml * fix test_layout_autotune * fix layout autotune of transpose
-
由 Chen Weihang 提交于
-
由 Ruibiao Chen 提交于
* Support stream overlap for c_allreduce_sum * Test CI * Add notes * Add SingleStreamGuard for BuildOpFuncList
-
由 Yiqun Liu 提交于
Enable to record whether the conv algo is got by exhaustive search to fix autotune cache bug. (#47065)
-
由 Charles-hit 提交于
* support uniform api in new ad * add unit test for uniform_random_p * resolve conflict * fix uniform_random orig2prim * fix primrules * remove ShapeTensor and ShapeTensorList input in uniform_random_p op and add sigmoid orig2prim rules
-
由 WangZhen 提交于
* Fix recurrent op eager deletion pass error in dy2st * Polish code * Refine error message
-
由 will-jl944 提交于
-
由 xiongkun 提交于
* [Dy2Static] Remove GradTransformer 1. fix einsum infershape bugs. 2. remove grad_transformer and unify paddle.grad and paddle.static.gradient. 3. add dygraph_and_dy2static_only decorator for dy2static. * fix bugs * rename
-
由 Hui Zhang 提交于
* cond infer apply exec seprate * fix bugs * fix as comment
-
由 Leo Chen 提交于
* clean unused code: piece.cc/h * clean usage
-
由 wanghuancoder 提交于
-
由 Li-fAngyU 提交于
-
- 18 10月, 2022 14 次提交
-
-
由 weishengying 提交于
-
由 zhoutianzi666 提交于
* Rewrite strided_slice converter using shape tensor * clean code
-
由 zhouweiwei2014 提交于
-
由 seemingwang 提交于
* add embedding range check * change head file * change head file * fix
-
由 liu zhengxi 提交于
-
由 Wang Bojun 提交于
* first version, accuracy corrected * disable debug print * use blockReduceSum in phi * add UT * add opCompat * code style * code refine * bug fix * code refine * test fix * bugfix * codesytle fix * code style * code-style * code-style * code-style
-
由 Sławomir Siwek 提交于
* git * style * leave default relu in kernel * style * cleanup FCMKLDNN pattern * merge conflicts * update develop * update develop * add const * rename to oneDNN and adjust attributes * whitespace
-
由 Hui Zhang 提交于
* cond infer apply exec seprate * fix bugs
-
由 Wilber 提交于
-
由 xiaoxiaohehe001 提交于
-
由 Weilong Wu 提交于
-
由 houj04 提交于
* [XPU] update xpu cmake to 1016. test=kunlun * fix special case of transpose op. test=kunlun
-
由 zyfncg 提交于
* support generating code of opmaker for backward op invoke forward op * gsupport code-gen of opmaker for sparse op * refind logic of choose phi kernrel * fix complie budg * fix code_gen bug * fix bug * fix kernel signature code-gen * fix complie bug of VarType * fix complie bug of VarType * fix test_sparse_conv_op * fix test_sparse_norm_op
-
由 HongyuJia 提交于
-
- 17 10月, 2022 7 次提交
-
-
由 Ghost Screaming 提交于
* Fix bug of reduce_sum op. When input.numel() > INT32_MAX, its result is wrong. * Support allow_partial switch, which can be configure in pipeline_configs. If sent tensor are not the same from different hosts, they shouldn't been sent partially and then concated as a whole tensor. * Change name allow_partial to enable_partial_send_recv. * Add global variable _enable_partial_send_recv
-
由 Ghost Screaming 提交于
* Fix bug of reduce_sum op. When input.numel() > INT32_MAX, its result is wrong. * support pure bfloat16 * support bf16 linear * update PR to pass CI * tiny fix where_grad_kernel.cu * Support bfloat16 type for reducer and sharding. * Fix some bug. * Polish code. * Polise code. * Add bfloat16 datatype in fill_grad kernels. Co-authored-by: Nsneaxiy <sneaxiy@126.com>
-
由 OccupyMars2025 提交于
-
由 YuanRisheng 提交于
* namespace modify * update by comment
-
由 RedContritio 提交于
-
由 OccupyMars2025 提交于
* add sparse reshape * change the dtype in all test cases to int64 * just one test case * modify comments * Update test_sparse_reshape_op.py * chang the type of "shape" from vector<int64_t> to IntArray * check whether sp_out.to_dense() is the cause of error * print sp_out * Update reshape_kernel.cc * use numpy to generate the equal paddle tensor * just check dense_tensor.numpy() * check cpu and cuda versions * Update test_sparse_reshape_op.py * supply all test cases for cpu forward coo kernel * test forward coo cuda kernel * change configuration of cuda kernel * keep only one test case * test coo cpu kernel (forward and backward) * row major or column major ??? * test cuda coo forward kernel * complete declaration and registration * Update __init__.py * rebuild * retrigger CI * add cudaMalloc and cudaMemcpy in ReshapeCooKernel and change back to row major order in a cuda dense tensor * midify minor error * test only cpu coo forward kernel * add all test cases for coo forward kernel (both cpu and gpu) * test all forward kernels (coo, csr; cpu, gpu) * add all test cases for all kinds of kernels * just retrigger CI * Update sparse_ops.yaml * Update sparse_ops.yaml * Update sparse_ops.yaml * resolve conflicts * Update sparse_ops.yaml * don't specify tensor place * new shape has -1 or 0 in it * Update unary_grad_kernel.h * correct lvalue error * code style * Update sparse_backward.yaml * Update sparse_ops.yaml * Update unary_kernel.h * Update unary.py * Update sparse_backward.yaml * Update unary.py * code style * code style * code style * Update unary.py * specify tensor place explicitly * do not use numpy array * use numpy array in unit test again * modify example code in docstring
-