【Hackathon 5th No.110】为 Paddle 增强 sparse.matmul API #59890

MayYouBeProsperous · 2023-12-11T07:19:45Z

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【Hackathon 5th No.110】为 Paddle 增强 sparse.matmul API community#721

paddle-bot · 2023-12-11T07:19:50Z

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MayYouBeProsperous · 2023-12-18T09:12:01Z

@zhwesky2010 麻烦review

zhwesky2010 · 2023-12-19T04:17:48Z

paddle/phi/kernels/funcs/sparse/sparse_blas_impl.cu.h

+      phi::Stream(reinterpret_cast<phi::StreamId>(dev_ctx_.stream())));
+  void* tmp_buffer_b_ptr = tmp_buffer_b->ptr();
+
+  dev_ctx_.CusparseCall([&](cusparseHandle_t handle) {


这里为啥调了这么多次cusparseSpGEMM_compute

CUSPARSE_SPGEMM_ALG1 算法需要调用两次 cusparseSpGEMM_compute，另外两个算法需要 CUDA 12 才能支持。

zhwesky2010 · 2023-12-19T04:18:43Z

paddle/phi/kernels/sparse/gpu/matmul_grad_kernel.cu

+                            const SparseCooTensor& dout,
+                            SparseCooTensor* dx,
+                            SparseCooTensor* dy) {
+  // 'cusparseSPGEMM' only support CSR now, so use COO->CSR->COO,


cusparse以后有可能支持coo吗

最新的CUDA 12.3 还未支持。

zhwesky2010 · 2023-12-19T04:19:50Z

paddle/phi/kernels/sparse/gpu/matmul_kernel.cu

+    batch_size *= out_dim_vec[i];
+  }
+
+  PADDLE_ENFORCE_EQ(


不支持3D的COO和CSR吗

增加了3d coo*coo, csr*scr 的单侧

zhwesky2010 · 2023-12-19T04:20:17Z

paddle/phi/kernels/sparse/gpu/matmul_kernel.cu

+                        const SparseCsrTensor& x,
+                        const SparseCsrTensor& y,
+                        SparseCsrTensor* out) {
+  MatmulKernelImpl<T>(dev_ctx, x, y, out);


为啥不直接把实现放这里面，然后COO调CSR的kernel

好的已修改

zhwesky2010 · 2023-12-19T04:21:21Z

test/legacy_test/test_sparse_matmul_op.py

+        not paddle.is_compiled_with_cuda() or get_cuda_version() < 11000,
+        "only support cuda>=11.0",
+    )
+    def test_matmul_2d(self):


3d的coo * dense目前支持吗

coo*dense 支持 3d，相关单测原来已经有了

Paddle/test/legacy_test/test_sparse_matmul_op.py

Line 39 in 5d32c61

class TestMatmul(unittest.TestCase):

zhwesky2010 · 2023-12-19T04:21:35Z

test/legacy_test/test_sparse_matmul_op.py

+        not paddle.is_compiled_with_cuda() or get_cuda_version() < 11000,
+        "only support cuda>=11.0",
+    )
+    def test_matmul_2d(self):


3d的csr * dense目前支持吗

csr*dense 支持 3d，相关单测原来已经有了

Paddle/test/legacy_test/test_sparse_matmul_op.py

Line 39 in 5d32c61

class TestMatmul(unittest.TestCase):

3d的coo*coo目前支持吗

支持的，单测在下方。

zhwesky2010 · 2023-12-19T04:22:23Z

test/legacy_test/test_sparse_matmul_op.py

+
+        sp_y = origin_y.detach().to_sparse_csr()
+        # only support 32-bit index.
+        sp_y_crows = paddle.cast(sp_y.crows(), "int32")


coo*dense也只能int32吗

coo*dense 支持 int64，相关单测原来已经有了

对于coocoo，csrcsr，如果是int64，插入一个稀疏的CastKernel是不是就可以了

确实可以，修改使用了 CastCsrKernel

zhwesky2010 · 2023-12-19T04:22:34Z

test/legacy_test/test_sparse_matmul_op.py

+
+        sp_x = origin_x.detach().to_sparse_coo(len(x_shape))
+
+        # only support 32-bit index.


csr*dense也只能int32吗

csr*dense 也支持 int64，相关单测原来已经有了

zhwesky2010

有个问题：
1.对于int64，插入稀疏CastKernel可以支持吗
2.对于3D是11.8以上会支持吗

zhwesky2010 · 2023-12-21T11:13:41Z

test/legacy_test/test_sparse_matmul_op.py

+
+        sp_y = origin_y.detach().to_sparse_csr()
+        # only support 32-bit index.
+        sp_y_crows = paddle.cast(sp_y.crows(), "int32")


对于coocoo，csrcsr，如果是int64，插入一个稀疏的CastKernel是不是就可以了

zhwesky2010 · 2023-12-21T11:14:01Z

test/legacy_test/test_sparse_matmul_op.py

+        not paddle.is_compiled_with_cuda() or get_cuda_version() < 11000,
+        "only support cuda>=11.0",
+    )
+    def test_matmul_2d(self):


3d的coo*coo目前支持吗

MayYouBeProsperous · 2023-12-21T15:08:52Z

有个问题： 1.对于int64，插入稀疏CastKernel可以支持吗 2.对于3D是11.8以上会支持吗

确实可以，修改支持了 int64 index。

3D 依赖 cusparseCsrSetStridedBatch、cusparseCooSetStridedBatch，我看到 11.0 就已经支持了，3D 单测限制 11.8 是因为框架中相关代码会抛出error：

Paddle/paddle/phi/kernels/funcs/sparse/sparse_blas_impl.cu.h

Lines 105 to 116 in 1383a2f

    
             if (batch_size > 1) { 
        
           #if CUDA_VERSION >= 11080 
        
               dev_ctx.CusparseCall([&](cusparseHandle_t handle) { 
        
                 phi::dynload::cusparseCsrSetStridedBatch( 
        
                     *descriptor, batch_size, M + 1, batch_nnz); 
        
               }); 
        
           #else 
        
               PADDLE_THROW(phi::errors::Unimplemented( 
        
                   "Batch Sparse matmul use 'cusparseCsrSetStridedBatch', which is " 
        
                   "supported from CUDA 11.8")); 
        
           #endif 
        
             }

不同的显卡感觉结果不太一样，应该用什么卡测试呢？

zhwesky2010 · 2023-12-22T03:18:26Z

@MayYouBeProsperous cusparseCsrSetStridedBatch 这个是因为之前测试发现CUDA 11.8才能跑对，就按CUDA11.8来吧，目前是11.8上支持了3D对吧

zhwesky2010 · 2023-12-22T03:26:48Z

test/legacy_test/test_sparse_matmul_op.py

+        not paddle.is_compiled_with_cuda() or get_cuda_version() < 11080,
+        "only support cuda>=11.8",
+    )
+    def test_matmul_3d(self):


3d就按目前11.8来吧，不用改就行

zhwesky2010 · 2023-12-22T03:42:16Z

paddle/phi/kernels/sparse/gpu/matmul_grad_kernel.cu

+                       static_cast<T>(0),
+                       &dx_tmp);
+
+    CastCsrKernel<T, Context>(


有个小问题在于：如果原本是int32，就会浪费4次cast的性能成本。如果原本是int64，目前的实现就没问题。

这里建议特化一下，加入类型判断，如果int32，无需任何操作，如果是非int32，再插入4次cast，并且最后一次cast是cast成index原本的类型而不一定指定int64。

请下个PR提交一下

好的，我提交PR修改一下。

paddle-ci-bot · 2023-12-29T03:11:24Z

Sorry to inform you that c8ff3d5's CIs have passed for more than 7 days. To prevent PR conflicts, you need to re-run all CIs manually.

MayYouBeProsperous · 2024-01-04T09:49:35Z

PR-CI-Coverage 中的 3D COO*COO CSR*CSR 单测现在有报错

3D 应该需要对每个 batch 进行计算，还在开发中。

zhwesky2010 · 2024-01-08T10:45:37Z

paddle/phi/kernels/funcs/sparse/sparse_blas_impl.cu.h

+    if (batch_size > 1) {
+#if CUDA_VERSION >= 11080
+      dev_ctx.CusparseCall([&](cusparseHandle_t handle) {
+        phi::dynload::cusparseCsrSetStridedBatch(


你这里不是已经设置了3D的stride吗，为什么Batch还会计算不成功呢

cusparseCsrSetStridedBatch 现在应该只能用于 spmm 和 sddmm，还不支持 spgemm。

zhwesky2010 · 2024-01-08T10:53:24Z

paddle/phi/kernels/funcs/sparse/sparse_blas_impl.cu.h

+  cusparseSpMatDescr_t descriptor_;
+
+  // temporarily save crows and cols for int64_t index csr
+  DenseTensor crows_int;


内部变量可以加两个下划线：crows_int_、cols_int_

这个类删除了

zhwesky2010 · 2024-01-08T11:06:39Z

paddle/phi/kernels/funcs/sparse/sparse_blas_impl.cu.h

+  const phi::GPUContext& dev_ctx_;
+  cusparseSpMatDescr_t descriptor_;
+
+  // temporarily save crows and cols for int64_t index csr


这个注释是不是错了，不是存储int32的index的吗

这个类删除了

zhwesky2010 · 2024-01-08T11:09:35Z

paddle/phi/kernels/funcs/sparse/sparse_blas_impl.cu.h

@@ -481,6 +493,248 @@ void SparseBlas<phi::GPUContext>::SDDMM(bool transa,
 }
 #endif

+/************* SPARSE*SPARSE->SPARSE MATMUL ************/
+template <typename T>
+class CuSparseSpGEMMCsrDescriptor {


这个名字建议可以优化下：CreateInt32IndexCsrDescriptor、CreateInt32IndexCooDescriptor

为了支持3D计算，需要在每个batch上 cusparseCreateCsr，这个类删除了。

zhwesky2010 · 2024-01-08T11:25:12Z

@MayYouBeProsperous 看起来没有什么计算的大问题，为什么还会计算不成功呢？

MayYouBeProsperous · 2024-01-08T14:47:00Z

@zhwesky2010 之前 approve 的代码不知道为啥能通过单测，同样的代码现在也会报错，可能 PR-CI-Coverage 环境有变动？

之前提交比较匆忙，3D 只在 CI 测试成功，我在 3090 CUDA 12.0，V100 CUDA11.8 测试都报错。CUDA 文档没有说明 cusparseCsrSetStridedBatch 可以用在 SPGEMM，应该是用不了。

目前打算每个 batch 分别计算一次乘法，tensorflow 也是这样实现：

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse/sparse_mat_mul_op.cc#L467-L496

luotao1 · 2024-01-09T02:27:40Z

之前 approve 的代码不知道为啥能通过单测

是哪个commit？

MayYouBeProsperous · 2024-01-09T02:33:24Z

之前 approve 的代码不知道为啥能通过单测

是哪个commit？

是这个：c8ff3d5

luotao1 · 2024-01-09T02:44:38Z

https://xly.bce.baidu.com/paddlepaddle/paddle/newipipe/builds/6512?module=github/PaddlePaddle/Paddle&pipeline=PR-CI-Coverage&branch=pull/59890(develop)

从历史记录看，12月20日前是成功的，后面是不是有些代码上的改动呢

MayYouBeProsperous · 2024-01-09T15:52:42Z

https://xly.bce.baidu.com/paddlepaddle/paddle/newipipe/builds/6512?module=github/PaddlePaddle/Paddle&pipeline=PR-CI-Coverage&branch=pull/59890(develop)
从历史记录看，12月20日前是成功的，后面是不是有些代码上的改动呢

我用12月20日之前通过单测的代码再次提交，也都报错了：#60640 #60555

CI 的测试显卡都是 V100 吗？

不过这个问题应该不影响后续开发，我现在换了实现方式。

luotao1 · 2024-01-10T02:25:11Z

2024-01-10 09:17:41 [check_op_benchmark_result.py:94] [INFO] parameters:
2024-01-10 09:17:41 [check_op_benchmark_result.py:96] [INFO] 	x (Variable) - dtype: float16, shape: [4, 512, 512, 1]
2024-01-10 09:17:41 [check_op_benchmark_result.py:96] [INFO] 	perm (list): [1, 2, 0, 3]
2024-01-10 09:17:41 [check_op_benchmark_result.py:159] [ERROR] Check speed result with case "matmul_10 (backward)" failed.
2024-01-10 09:17:41 [check_op_benchmark_result.py:159] [ERROR] Check speed result with case "matmul_10 (forward)" failed.
2024-01-10 09:17:41 [check_op_benchmark_result.py:159] [ERROR] Check speed result with case "transpose_6 (backward)" failed.

op-benchmark的速度变慢了

MayYouBeProsperous · 2024-01-10T09:09:50Z

op-benchmark的速度变慢了

通过了

zhwesky2010 · 2024-01-11T07:39:02Z

https://xly.bce.baidu.com/paddlepaddle/paddle/newipipe/builds/6512?module=github/PaddlePaddle/Paddle&pipeline=PR-CI-Coverage&branch=pull/59890(develop) 从历史记录看，12月20日前是成功的，后面是不是有些代码上的改动呢

我用12月20日之前通过单测的代码再次提交，也都报错了：#60640 #60555

CI 的测试显卡都是 V100 吗？

不过这个问题应该不影响后续开发，我现在换了实现方式。

这个问题可能是近期的CUDA版本进行了升级，支持了CUDA11.8以上的流水线，而之前有些单测在11.8以上才会跑

zhwesky2010

LGTM

zhwesky2010 · 2024-01-11T07:19:47Z

paddle/phi/kernels/funcs/sparse/sparse_blas_impl.cu.h

+  const int64_t b_cols = b_dim_vec[b_ndims - 1];
+
+  // cusparseSpGEMM only support 32-bit indices.
+  DenseTensor a_crows_int, a_cols_int, b_crows_int, b_cols_int;


这几个临时Tensor感觉写到else分支里更好

好的已修改

* [DimExpr] DimExpr support hash (PaddlePaddle#60471) * open warning with `paddle.utils.deprecated` (PaddlePaddle#60458) * open_warning * update unittest * update * fix typos * fix warning in test runner * uncomment * cleanup todo * using VisibleDeprecationWarning * update comment * fix typo * fix indentation * fix * fix * fix indent level and test * update --------- Co-authored-by: SigureMo <[email protected]> * [AutoParallel] Auto Trans PP to VPP (PaddlePaddle#60467) * [AutoParallel] Auto Trans PP to VPP * add comment * 【PIR OpTest Fix No.23】 fix test_distribute_fpn_proposals_op (PaddlePaddle#60335) * fix * fix * fix test_lookup_table_v2_bf16_op (PaddlePaddle#60332) * Fix shape error in combined-indexing setitem (PaddlePaddle#60447) * add ut * fix shape error in combine-indexing * fix ut * [auto parallel] Add pp lazy init, bug fix for xavier (PaddlePaddle#60441) * [PIR] add slice_array_dense api (PaddlePaddle#60433) * fix * fix * Set value with scalar (PaddlePaddle#60452) * set_value with scalar * fix ut * [PIR]Support custom op in PIR (PaddlePaddle#59790) * support custom op in pir * fix compile bugs * fix bugs * delete code * fix windows bugs * fix windows bugs * add symbol to paddle lib * fix windows bugs * revert code * fix bugs * fix bugs * perfect code according comment * fix py3 * revert third party * fix bugs * fix bug * fix compile bugs * fix windows * [Prim][PIR] support roll, gather, scatter, scatter_nd_add op backward in pir prim (PaddlePaddle#60481) * prim gather op backward * prim scatter op backward * prim roll op backward * prim scatter_nd op backward * [PIR] delete dense_tensor mem_desc_ (PaddlePaddle#60024) * delete dense_tensor mem_desc_ * [PIR] Complement op defs (PaddlePaddle#60475) * complement translation of legacy matmul * Complement op mappings in translation for deformable_conv_v1. * [pir]Supporting constant_folding_pass for train (PaddlePaddle#60355) * [pir]Supporting constant_folding_pass for train * fix * Update constant_folding_pass.cc * [Dynamic Shape] Fuse shape ops into generate shape op pass (PaddlePaddle#60490) * add shape.generate_shape op * rename shape.generate_shape to cinn_op.generate_shape * refactor GenerateShapeOp::SymbolBinding * move GenerateShapeOp related helper functions into generate_shape_util.cc * minor fix * minor fix * backup * refine signature of ConvertDimExprToAttribute * minor fix for signature of ConvertDimExprToAttributes * remove SubstituteDimExpr from generate_shape_util.h * Fix compile error * Fix unittest compile error * Code format * Code format * Fix _hiden_size to _hidden_size (PaddlePaddle#60485) * [DimExpr] Add substitute DimExpr util (PaddlePaddle#60493) * add SubstituteDimExpr * Fix compile error * Code format * Polish DimExprUtilTest * Change namesapce * Fix unittest * Polish DimExprUtilTest * [xpu]add sine_pos fuse pass and sine_pos xpu kernel (PaddlePaddle#60025) * add split with variable in factors and rewrite vectorize,unroll,bind error handling mechanism (PaddlePaddle#60449) * [CodeStyle] Fix regression of Ruff in sot (PaddlePaddle#60483) * support cast op from FP32 to low precision (PaddlePaddle#60385) * test=document_fix (PaddlePaddle#60399) * [XPU] refine flash attention ut (PaddlePaddle#60474) * [XPU] refine flash attention ut * refine tolerance * [Inference] support collect shape in sub block (PaddlePaddle#60451) * support collect shape in sub block * udpate * udpate * fix process mesh incorrect set in converter (PaddlePaddle#60504) * 【CMake opt No.13】Remove CINN DEPS in test/cpp/pir/shape_dialect/CMakeLists.txt (PaddlePaddle#60517) * Update CMakeLists.txt * Apply suggestions from code review * Apply suggestions from code review * Update CMakeLists.txt * Update CMakeLists.txt * 【pir】 add tensorarray op createarrylike, add_n (PaddlePaddle#60460) * optimize backward * [PIR] add vjp interface for while op * [PIR] fix ci error. * modify while stopgradient * merge * modify while grad bug * modify while grad op * modify * increment vp * [PIR] add get_used_external_value interface for block. * while case * delete print * delete print * Update python/paddle/autograd/ir_backward.py * [PIR] add unit_test for get_used_external_value * modify while_loop * code_style * modofy ci bug * modify while api * modify ci * modify array * Update python/paddle/autograd/ir_backward.py * Update test/legacy_test/test_cond.py * update * modify array_write grad info * merge * add_n and createarraylike * conflict * modify exe bug * modify kernel choose --------- Co-authored-by: winter-wang <[email protected]> * Add align iter space tactic (PaddlePaddle#60498) Add align iter space tactic * [Dynamic Shape] Add helper function MakeGenerateShapeOpAttribute (PaddlePaddle#60512) * add helper function MakeGenerateShapeOpAttribute * fix complier complaint * Code format * [Prim][PIR] Set prim gflag for pure cpp (PaddlePaddle#60505) * inference support decomp * polish code * add decomp base define * add decomp base define2 * change decomp infer * fix symbol overload * fix test case * debug * debug * decomp add debug info * add cpp flag * revert * remove unused flag * [PIR] Refine and fix pir exe (PaddlePaddle#60443) * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * update 2023 security advisory, test=document_fix (PaddlePaddle#60527) * [Inference] refine common/*.h for inference lib (PaddlePaddle#60513) * 【complex op】No.19 add complex support for triangular_solve (PaddlePaddle#59529) * fix reshard dist_attr (PaddlePaddle#60535) * 【auto parallel】剔除切分推导相关的头文件对proto 的依赖 (PaddlePaddle#60543) * decouple proto * format * format * strcuct pre def * [PIR] Support Operation::Clone Interface (PaddlePaddle#60536) * [PIR] Support Operation::Clone Interface * modify into shared_ptr * [Dynamic Shape] Add FullyInsertBroadcastPass and Broadcast Op (PaddlePaddle#60511) * add ShapeBroadcastOp * add pass FullyInsertBroadcastPass * InferSymbolicShape of BroadcastShape Op * Delete unit test * Fix return error * Code format * Fix error message * Update paddle/cinn/hlir/dialect/operator/transforms/fully_insert_broadcast_pass.cc Co-authored-by: Bo Zhang <[email protected]> --------- Co-authored-by: Bo Zhang <[email protected]> * Fix OpTranslatorTest name (PaddlePaddle#60518) * fix name * fix name * fix name * fix name * [PIR] migrate DataFeeder into pir (PaddlePaddle#60434) * 【PIR API adaptor No.90,92】Migrate some ops into pir (PaddlePaddle#59801) * [DimExpr] Convert Broadcast to BroadcastTree (PaddlePaddle#60440) * backup BroadcastTree * add SubstituteDimExpr * add helper function ConstructBroadcastTree * Fix compile error * Code format * Polish DimExprUtilTest * Add cmake file * Change namesapce * Fix compile error * Fix unittest * reconstruct BroadcastTree * Polish DimExprUtilTest * Reconstruct BroadcastTree * Finish BroadcastBranch * Finish BroadcastBranch * Finish BroadcastBranch * Add Unittest * Remove unnecessary dim_expr_util * Add header file * [Dynamic Shape] Erase expand (PaddlePaddle#60525) * EraseExpandOp * minor fix * minor fix * Code format * [inference] Support wint4 groupwise with cutlass gemm (PaddlePaddle#60422) * support gemv-groupwise func && weightQuanter-groupwise && weightDeQuanter-groupwise * fix build bug * add unit_test && fix bug * delete useless code * fix ci build bug * fix ci && optimize * fix merge conflict * add op change info * fix weight_only_linear_pass * fix format * solve ci unit_test * init * support cutlass gemm with groupwise * add unit test * fix strange bug * delete random bug * fix sm70 build bug * try to fix ci build bug * fix bug * fix volta build bug * skip sm70 in groupwise mode * change cutlass branch * simplify extent of loop after fuse and add corresponding test case (PaddlePaddle#60538) * fix bug of put_along_axis (PaddlePaddle#60551) * remove clearPass to allow custom device use fusion under fp16 (PaddlePaddle#60541) * fix fleetutil get_online_pass_interval bug2; test=develop (PaddlePaddle#60544) * fix vs2017 limit (PaddlePaddle#60528) * 【Hackathon 5th No.20】为 Paddle 新增 Exponential 和 Gamma API (PaddlePaddle#57899) * add exponential * add gamma distribution * refine docs * add kl_divergence and test * resolve conflicts * resolve conflicts * fix bug * refine test * fix test timeout * refine code * add standard_gamma kernel * fix comments * fix tests * fix tests * fix comments * fix tests * fix gamma grad * fix yaml * fix bugs * fix tests * fix standard_gamma_grad * fix test * fix test * add cdf & icdf * add cdf & icdf * refine comments * fix * fix * fix head file * fix * fix cuda op * fix * fix * refine test * fix test * refine comments * fix comments * fix * fix * fix type check * fix docs * delete useless comments * [CINN] Add IntrinsicOps into ir_codes_collector (PaddlePaddle#60556) This PR fixed a bug of running Resnet PaddleClas. The bug is due to vectorize introduce an intrinsic GetAddr and we didn't collect the tensor of GetAddr in ir_node_collector, this would caused tensor alias won't create in cuda code. TODO: we may modify IntrinsicOp in the near future * 【auto parallel】custom op spmd rule register (PaddlePaddle#60509) * custom op spmd rule register * custom op spmd rule register * custom op spmd rule register * custom op spmd rule register * polish * 【AutoParallel】Add master grad in AMP-O2 of AutoParallel (PaddlePaddle#59987) * add master_grad in auto-parallel * reset third_party * fix coverage * support bf16 master_grad * fix bug in master_grad * change code according to review * change the way to find optimizer op * [Dy2St] Fix `NameloadJstTransformer` missing transform call kwargs (PaddlePaddle#60515) --------- Co-authored-by: gouzil <[email protected]> * cinn(backends): generate infer shape kernel to infer shape of output tensor (PaddlePaddle#60519) 通过二维指针来返回后端infer shape的结果。生成的cinn ir如下。tensor_shape_args是一个二维指针。 infer_shape_set_value(0, 0, S1, tensor_shape_args) 表示将第0个output tensor的第0维设置为S1。 * fix tensor math method inplace converter (PaddlePaddle#60546) * [xpu]Add vis_decoder_attention_xpu_pass && modify qkv_attention_xpu_kernel (PaddlePaddle#60361) * [Prim][PIR] support abs, instance_norm op backward in prim pir (PaddlePaddle#60444) * abs op backward * add test case * update code * update code * update code * update code * update code * instance_norm op backward * add instance_norm_v2 test cast * custom op * [PIR] remove log simply name mechnism from phi to common. (PaddlePaddle#60507) * [InferSymbolicShape] Delete redundent value_id_to_shapeordata_ (PaddlePaddle#60554) * 【Hackathon 5th No.25】add gammaln api (PaddlePaddle#60553) * fix (PaddlePaddle#60570) * [CINN] Add tile tactic and bind cuda tactic (PaddlePaddle#60534) * [CINN] Add tile tactic * [CINN] Add bind cuda tactic * 【PIR OpTest Fix No.8】 fix test_shuffle_batch_op (PaddlePaddle#59631) * fix test_shuffle_batch_op * fix * 【PIR OpTest Fix No.14】 fix test_nce (PaddlePaddle#60255) * fix test_nce * fix test_nce * Update ops.yaml * fix * Update utils.cc * Update ops.yaml * 【PIR OpTest Fix No.19】 fix test_ftrl_op (PaddlePaddle#60329) * fix test_ftrl_op * fix * [auto parallel] Lazy init for MP. Add reshard infer shape. (PaddlePaddle#60563) * [PIR] Add unittest for Operation::Clone and Group::Clone (PaddlePaddle#60577) * [PIR] dce pass disable custom op (PaddlePaddle#60578) * [Inference] Fix bug of RunWithExternalStream API in new executor (PaddlePaddle#60122) * fix bug of RunWithExternalStream API in new executor * add test * fix bug of RunWithExternalStream API in new executor * reset flage in RunWithExternalStream * fix bug * add param swith_stream * fix bug * modify python api * fix bug * Resubmit PR-58859 (PaddlePaddle#60310) * allow multiple rng state in generator * Fix 60142; Fix some comments from sneaxiy * Overwrite copy constructors * add api * pre-commit * tensor_array slice in PIR (PaddlePaddle#60503) * use slice_array, now will meet error of destory opresult still in use * disable the pir test until the bug fixed * Set DistModel state_dict keys to structure_names (PaddlePaddle#60478) * exclude xpu * check structure name mapping * test pp * polish * support dynamic save static load * support dygraph save static load * polish * polish * use structured_name as key in DistModel state_dict * polish * polish * fix checkpoint path conflict * test get_rank_to_files * static save dynamic load test * fix sm75 build bug (PaddlePaddle#60583) * replace LOG(INFO) with VLOG(6) * Add CanProveDivisible for symbolic calculation (PaddlePaddle#60572) * add CanProveDivisible for symbolic calculation * delete extra cout for debug * fix according to some comments * [PIR][DynamicShape] make shape pass default and fix some bugs (PaddlePaddle#60548) att, make shape pass default and fix some bugs * Fix words (PaddlePaddle#60603) * 【auto parallel】custom op use spmd rule (PaddlePaddle#60571) * custom op use smpd rule * custom op use smpd rule * [auto parallel] add lazy init ut to llama (PaddlePaddle#60585) * 【pir】 modify array_write and array_read vjp , add a simple while with array_write (PaddlePaddle#60575) * optimize backward * [PIR] add vjp interface for while op * [PIR] fix ci error. * modify while stopgradient * merge * modify while grad bug * modify while grad op * modify * increment vp * [PIR] add get_used_external_value interface for block. * while case * delete print * delete print * Update python/paddle/autograd/ir_backward.py * [PIR] add unit_test for get_used_external_value * modify while_loop * code_style * modofy ci bug * modify while api * modify ci * modify array * Update python/paddle/autograd/ir_backward.py * Update test/legacy_test/test_cond.py * update * modify array_write grad info * merge * add_n and createarraylike * conflict * modify array_write vjp * modify array_write vjp * Update paddle/fluid/pybind/manual_static_op_function.h * modify array_write vjp * modify ci bug * modify * modify * Update test/legacy_test/test_while_loop_op.py * modify inplace array_read * Update test/legacy_test/test_while_op.py * Update test/ir/pir/test_while_api.py --------- Co-authored-by: winter-wang <[email protected]> * [Prim][PIR] add leaky_relu, sigmoid, instance_norm op forward prim (PaddlePaddle#60564) * hardswish op prim sink * hardswish op prim * add composite * add leaky_relu, sigmoid op forward prim * remove hardswish op forward * add instance_norm op forward prim * [CINN]Add bucket context (PaddlePaddle#60549) * [CINN] Add tile tactic * [CINN] Add bind cuda tactic * [CINN] Add bucket contexts * fix group output args bug * Add CUDNNv8 max pooling (PaddlePaddle#59413) * Add CUDNNv8 version of pool2d * Minor fix * Fix build failure * Remove dygraph API * Fix CI failure * Fix CI failure * Fix timeout * Fix timeout * Add comments * Minor fix * update lbfgs to avoid the randomness caused by paddle.dot() temporarily (PaddlePaddle#60591) * update lbfgs to avoid the randomness caused by paddle.dot() temporarily * add note * set_pir_tests_properties for some tests (PaddlePaddle#60401) * fix * Update CMakeLists.txt * Update pir_op_test_white_list * Update pir_op_test_white_list * Update pir_op_test_white_list * Add tests to whitelist (PaddlePaddle#60522) * fix * add * fix double grad without convert inplace (PaddlePaddle#60614) * fix fleetutil get_online_pass_interval bug3 (PaddlePaddle#60615) * fix fleetutil get_online_pass_interval bug3; test=develop * fix fleetutil get_online_pass_interval bug3; test=develop * fix fleetutil get_online_pass_interval bug3; test=develop * [PIR][DynamicShape] Add an example for broadcast in dynamic shape infer (PaddlePaddle#60608) * Add an example for broadcast in dynamic shape infer * fix_convert_all_blocks (PaddlePaddle#60613) * fix_convert_all_blocks * [Paddle-TRT] support set_value dynamic shape (PaddlePaddle#60508) [Paddle-TRT] support set_value dynamic shape (PaddlePaddle#60508) * fix (PaddlePaddle#60625) * [PIR] Support Region Clone in Operation::Clone (PaddlePaddle#60590) * deg2rad test passed (PaddlePaddle#60619) * [PIR+CINN]Fix Pool2d Variant Attibute for kernel_size (PaddlePaddle#60623) * [PIR+CINN]Fix Pool2d Variant Attibute for kernel_size * fix padding_size * fix pooling_type * [SOT] move_gpu_pinned_to_gpu (PaddlePaddle#60395) * PIR API adaptor No.35、40】 Migrate paddle.nn.ChannelShuffle/ClipGradByNorm into pir (PaddlePaddle#60445) * fix some bugs * fix bugs * Update clip.py * Update test_channel_shuffle.py * Update test_clip_by_norm_op.py * Update test_clip_by_norm_op.py * add param name for dist_tensor parameter (PaddlePaddle#60574) * Fix (PaddlePaddle#60631) * [PIR] Reify InferSymbolicShapeInterface (PaddlePaddle#60438) * Reify InferSymbolicShapeInterface * [Dynamic Shape] Remove ShapeBroadcastOp redundant codes (PaddlePaddle#60609) * [Dy2St] fix `test_grad` in PIR mode (PaddlePaddle#60621) --------- Co-authored-by: xiaoguoguo626807 <[email protected]> * reconstruct llama ci cases (PaddlePaddle#60637) * 【AutoParallel】Unify the fp16 and bf16 in auto-parallel (PaddlePaddle#60514) * unify the fp16 and bf16 * change white_list in AMP * add dtype support * fix bug in dtype * [Dynamic Shape] Add SplitGenerateShapeIntoShapeOpsPass (PaddlePaddle#60624) * [Dynamic Shape] Add SplitGenerateShapeIntoShapeOpsPass * Fix compile error * Fix compile error * update pdsa-2023-019, test=document_fix (PaddlePaddle#60646) * [SOT] sot export test files (PaddlePaddle#60547) * Improve the performence of put_along_axis (PaddlePaddle#60618) * fix bug of put_along_axis * improve performence of put_along_axis * [AutoParallel] Fit vpp for gradient_merge pass (PaddlePaddle#60560) * add dist attr * add op namescope * add test_semi_auto_parallel_hybrid_strategy (PaddlePaddle#60537) * [PIR]Open uts for AdaptiveAvgPool3D (PaddlePaddle#60636) * test (PaddlePaddle#60654) * [CINN] Add OptimizeReductionTactic (PaddlePaddle#60661) * [Paddle-Trt]update set_value cmakelist (PaddlePaddle#60664) [Paddle-Trt]update set_value cmakelist * [auto parallel] fix reshape infer shape (PaddlePaddle#60632) * [CINN+PIR]Clean Old GroupScheduler logic and switch into new_group_scheduler (PaddlePaddle#60642) * [CINN]Fix HasDynamicShape Bug while Type is NULL (PaddlePaddle#60658) * [PIR] pir onednn support legact istruction and lrn (PaddlePaddle#60502) * pir onednn support legact istruction and lrn * c_softmax_with_cross_entropy support bf16 for xpu (PaddlePaddle#60472) * enable custom device to use silu_fuse_pass (PaddlePaddle#60595) move SetUseCustomDevice to all platform * [XPU] add empty_like op and test, update XHPC to 20240105 (PaddlePaddle#60617) * [XPU] update XHPC date and refine FA ut (PaddlePaddle#60598) * [XPU] update XHPC date * update comments for ut * correct adamw bf16 unit test and the way to get data type (PaddlePaddle#60565) * Fix some PADDLE_THROW error type and change test cases (PaddlePaddle#60487) * fix error type * fix TypeError fix type fix fix fix fix * fix typo * as_complex as_real check_grad (PaddlePaddle#60666) * [Fix Bug] Fix Bugs of Two Pass (PaddlePaddle#60626) * [Fix Bug] Fix Bugs of Two Pass * Fix GenerateShapeOp bug * Modify unit test * Fix MakeGetterDimExpr4SymbolName * 【Hackathon 5th No.34】为 Paddle 新增 bitwise_right_shift / bitwise_right_shift_ / bitwise_left_shift / bitwise_left_shift_ API (PaddlePaddle#58092) * This PR enable offset of generator for custom device. (PaddlePaddle#60616) * [SOT] Convert dtype to `DataType` in PIR mode (PaddlePaddle#60627) * [PIR] Change output to block_arg from copy to a shared for the execution of while (PaddlePaddle#60607) * test * fix * fix * fix * 【auto parallel】custom op spmd infer add args check (PaddlePaddle#60633) * add bound check * add bound check * [PIR] Open PIR flag for test_ifelse (PaddlePaddle#60685) * open pir flag for test_ifelse * Update test_ifelse.py * Update test_ifelse.py * [CIN+PIR]Fix SplitOpPattern Bug in pd_to_cinn_pass (PaddlePaddle#60669) * [CIN+PIR]Fix SplitOpPattern Bug in pd_to_cinn_pass * fix index error * refine pir_all_path UT * fix bug * fix uncontiguous tensor resize bug (PaddlePaddle#60684) * fix uncontiguous tensor resize bug * [PIR]Support inplace custom op in pir (PaddlePaddle#60529) * support inplace in pir * fix inference ut * fix win bugs * fix win bug * fix * polish code * polish code * print log * print log * debug * fix win bugs * fix windows * fix (PaddlePaddle#60634) * [Docs] Update latest release version in README (PaddlePaddle#60691) * [CINN] Refine cmake for pass in cinn (PaddlePaddle#60683) * refine cmake for pass in cinn * add dependency in cmake * add dependency in cmake * [PIR]Open uts for PReLU (PaddlePaddle#60645) * [PIR]Open uts for ReLU6 (PaddlePaddle#60650) * [PIR]Open uts for RReLU (PaddlePaddle#60660) * [NPU] fix storage_properties type mismatch with OneDNN and NPU (PaddlePaddle#60566) * fix ttfnet_darknet53_1x_coco in pir mode (PaddlePaddle#60663) * [auto parallel] shard tensor stop gradient support (PaddlePaddle#60699) * [PIR][DynamicShape] Polish some codes (PaddlePaddle#60651) att, polish some codes * [PIR] fix onednn double reg (PaddlePaddle#60720) * fix onednn double reg * 【pir】modify add_n in while use blockarg instead of input value (PaddlePaddle#60668) * test * fix * fix * fix * modify add_n block_arg * modify increment return value * merge * modfiy whiel_op.py --------- Co-authored-by: zhangbo9674 <[email protected]> * [PIR] Open test_case ut (PaddlePaddle#60721) * fix * fix * [PIR] rename data_layout (PaddlePaddle#60678) * rename data_layout * [xpu]: check op is null (PaddlePaddle#60656) * 【Hackathon 5th No.1】为 Paddle 新增 copysign API (PaddlePaddle#57785) * add copysign op * fix codestyle * codestyle * fix test * fix std bug * merge init * merge init * merge init * add static cast * add std * static cast * static cast * copysignf * static cast to float input * float input * static cast to double input * fix * add inplace test * fix api * fix cast when grad * modify paddle.cast_ to cast_ * remove cast in python api * support fp16 && bf16 * set grad y to zero * fix en doc * support number input * add hostdevice * refactor kernel * fix nan when backward * add broadcast unit test * modify .cu * Update __init__.py * Update __init__.py * for ci test * static float * codestyle * static double * fix broadcast, try coverage * Delete paddle/phi/kernels/funcs/broadcast_function.h * remove unused * Update math.py * Update math.py * fix en doc * add test for output dtype, integer unsupported for now * update * update * fix * fix * add cast for input * fix * add pir test * fix doc * fix doc * fix doc * detail doc * adjust for MSVC * fix * Update python/paddle/tensor/math.py Co-authored-by: zachary sun <[email protected]> * Update python/paddle/tensor/math.py Co-authored-by: zachary sun <[email protected]> * fix doc output dtype, fix Equation * codestyle * codestyle * Update math.py --------- Co-authored-by: zachary sun <[email protected]> * rms_norm_infer_spmd (PaddlePaddle#60709) * [PIR]Open more tests for bernoulli and celu (PaddlePaddle#60706) * bernoulli && celu * celu test_error * [PIR]Open uts for scatter_nd_add (PaddlePaddle#60698) * [PIR]Open uts for scatter_nd_add * Fix ut * [PIR]Open uts for sinh (PaddlePaddle#60714) * [PIR]Open uts for Softshrink and Softsign (PaddlePaddle#60716) * [PIR] polish the ir_mapping implimentation. (PaddlePaddle#60675) * [PIR] fix onednn layout transform yaml format (PaddlePaddle#60680) * fix onednn layout transform yaml format * 【CINN】Complete error handler mechanism of dynamic schedule (PaddlePaddle#60718) * complete error handler mechanism of dynamic schedule * fix some output info * fix windows C++17 bug (PaddlePaddle#60736) * [XPU] fc pass and delete pass nodes check (PaddlePaddle#60314) * fix_local_windows_compile (PaddlePaddle#60682) * [PIR] fix onednn dialect name (PaddlePaddle#60665) * fix onednn dialect name * 【pir】add tesnor to array kernel etc (PaddlePaddle#60703) * merge * modfiy kernel * modify net * modify print * Fix defition definition (PaddlePaddle#60679) * cholesky and cholesky_solve tests (PaddlePaddle#60726) * [PIR]Open uts for searchsorted (PaddlePaddle#60700) * [PIR]Open uts for selu (PaddlePaddle#60702) * [PIR]Open uts for selu * Fix ut * [PIR]Open uts for sequence_mask (PaddlePaddle#60704) * [PIR] adjust pir pass log printing (PaddlePaddle#60723) * adjust pir pass log printing * update * update * update * fix compile * Fix Throughtput Throughput (PaddlePaddle#60741) * please last md (PaddlePaddle#60749) * [CINN+PIR]Fix Fetch XShape Variable logic (PaddlePaddle#60722) * [PIR][DynamicShape] Remove redundant code for shapeAnalysis and shapedTypeInterface (PaddlePaddle#60744) att, remove redundant code for shapeAnalysis and shapedTypeInterface * 【PIR Dist Op Reg No.1】 reg push_sparse_v2 (PaddlePaddle#60473) * code reg push_sparse_v2 * [Dynamic Shape] Provide operator<< For BroadcastTree (PaddlePaddle#60730) * [PIR] change IR clone to const and support clone operation successors (PaddlePaddle#60752) * support ir clone const and support clone operation successors * refine ir_mapping * refine region clone * [CINN] Refine fully_insert_broadcast_pass (PaddlePaddle#60676) * refine fully_insert_broadcast_pass * fix complie bug * fix complie * fix conflict * [PIR] einsum's inner_cache and xshape set to optional (PaddlePaddle#60748) * einsum's inner_cache and xshape set to intermediate * Update paddle/fluid/pir/dialect/operator/ir/ops.yaml --------- Co-authored-by: kangguangli <[email protected]> * reduce runtime of unit-tests in windows-trt (PaddlePaddle#60731) * modify trt test to deal with Timeout * windows * [Paddle-TRT] upgrade EnqueueV2 to EnqueueV3 (PaddlePaddle#59950) * 【Hackathon 5th No.110】为 Paddle 增强 sparse.matmul API (PaddlePaddle#59890) * Fix rank_relatvie rank_relative (PaddlePaddle#60770) * add graph_key to specific graph's varmap (PaddlePaddle#60567) * add graph_key to specific graph's varmap * fix inpalce case * fix inpalce case * 【Hackathon 5th No.38】为 Paddle 新增 FractionalMaxPool2d / FractionalMaxPool3d API -kernel (PaddlePaddle#59847) * [Init] add fractional max pool kernel and api * [Fix] pooling.cu seed offset * [Change] remove adaptive from fractional max pool * [Change] fractional max 2d gpu pooling.cu grad * [Change] fractional max 2d gpu pooling.cu grad with dim3 * [Change] use UnchangedInferMeta * [Change] test api with uint16 * [Change] wrap test disable_static * [Change] regiester float16/bfloat16 * [Change] remove bfloat16 from cpu kernrl * [Change] test dtypes in cpu and gpu * [Change] test_fractional_max_pool3d_2d/3d timeout to 30s * [Fix] resolve conflict * [Change] win32 cannot detect bfloat16 correctly * [Change] force set_device * [Add] test random_u is None * [Change] use kernel_size for overlapping mode * [Change] clean headers * [CodeStyle] pooling * [Change] rename op * [Change] rename func without index * [Prim][PIR] Recover pir bn (PaddlePaddle#60689) * reopen bn prim pir * fix atol * decomp support batch_norm_ * fix test case * fix bug * fix code * [PIR]fc_with_special_op_fuse_pass bug fix (PaddlePaddle#60751) * bug fix update * update * delete all debug message * add code deleted wrong at last commit * delete createAutoMixedPrecisionPass in analysis_predictor.cc --------- Co-authored-by: HongyuJia <[email protected]> Co-authored-by: ooo oo <[email protected]> Co-authored-by: SigureMo <[email protected]> Co-authored-by: zhaoyingli <[email protected]> Co-authored-by: xingmingyyj <[email protected]> Co-authored-by: JYChen <[email protected]> Co-authored-by: Yuang Liu <[email protected]> Co-authored-by: zhangbo9674 <[email protected]> Co-authored-by: YuanRisheng <[email protected]> Co-authored-by: kevin <[email protected]> Co-authored-by: wanghuancoder <[email protected]> Co-authored-by: kangguangli <[email protected]> Co-authored-by: zhangyuqin1998 <[email protected]> Co-authored-by: co63oc <[email protected]> Co-authored-by: NeroLoh <[email protected]> Co-authored-by: 傅剑寒 <[email protected]> Co-authored-by: lzydev <[email protected]> Co-authored-by: tianshuo78520a <[email protected]> Co-authored-by: houj04 <[email protected]> Co-authored-by: Yuanle Liu <[email protected]> Co-authored-by: LiYuRio <[email protected]> Co-authored-by: 张春乔 <[email protected]> Co-authored-by: xiaoguoguo626807 <[email protected]> Co-authored-by: winter-wang <[email protected]> Co-authored-by: BiynXu <[email protected]> Co-authored-by: cyber-pioneer <[email protected]> Co-authored-by: Vigi Zhang <[email protected]> Co-authored-by: zbt78 <[email protected]> Co-authored-by: liuzhenhai93 <[email protected]> Co-authored-by: Aurelius84 <[email protected]> Co-authored-by: Bo Zhang <[email protected]> Co-authored-by: Lu Qi <[email protected]> Co-authored-by: LoneRanger <[email protected]> Co-authored-by: freeliuzc <[email protected]> Co-authored-by: YibLiu <[email protected]> Co-authored-by: engineer1109 <[email protected]> Co-authored-by: danleifeng <[email protected]> Co-authored-by: xuxinyi389 <[email protected]> Co-authored-by: MayYouBeProsperous <[email protected]> Co-authored-by: Huihuang Zheng <[email protected]> Co-authored-by: gouzil <[email protected]> Co-authored-by: 6clc <[email protected]> Co-authored-by: Terry <[email protected]> Co-authored-by: winter-wang <[email protected]> Co-authored-by: Wang Xin <[email protected]> Co-authored-by: ming1753 <[email protected]> Co-authored-by: Frank Lin <[email protected]> Co-authored-by: pangengzheng <[email protected]> Co-authored-by: lanxianghit <[email protected]> Co-authored-by: Tian Zheng <[email protected]> Co-authored-by: lijialin03 <[email protected]> Co-authored-by: Wangzheee <[email protected]> Co-authored-by: zhink <[email protected]> Co-authored-by: huangjiyi <[email protected]> Co-authored-by: Chen Zhiyang <[email protected]> Co-authored-by: feifei-111 <[email protected]> Co-authored-by: fsczz <[email protected]> Co-authored-by: Haohongxiang <[email protected]> Co-authored-by: Sonder <[email protected]> Co-authored-by: Liujie0926 <[email protected]> Co-authored-by: WangZhen <[email protected]> Co-authored-by: risemeup1 <[email protected]> Co-authored-by: bukejiyu <[email protected]> Co-authored-by: zhangyikun02 <[email protected]> Co-authored-by: Jianbang Yang <[email protected]> Co-authored-by: enzodechine <[email protected]> Co-authored-by: Zhan Rongrui <[email protected]> Co-authored-by: coco <[email protected]> Co-authored-by: zhaohaixu <[email protected]> Co-authored-by: chen2016013 <[email protected]> Co-authored-by: zyfncg <[email protected]> Co-authored-by: Qi Li <[email protected]> Co-authored-by: zhangbo9674 <[email protected]> Co-authored-by: Liuyinfeng <[email protected]> Co-authored-by: zachary sun <[email protected]> Co-authored-by: wendaxiao <[email protected]> Co-authored-by: cyberslack_lee <[email protected]> Co-authored-by: lizexu123 <[email protected]> Co-authored-by: GGBond8488 <[email protected]> Co-authored-by: megemini <[email protected]>

MayYouBeProsperous added 5 commits November 5, 2023 08:06

add cusparseSpGEMM

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Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into sm

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refine paddle.sparse.matmul

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【PaddlePaddle Hackathon 5th】开源贡献个人挑战赛 #57262

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MayYouBeProsperous added 2 commits December 12, 2023 05:29

coo*coo

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add grad op

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MayYouBeProsperous changed the title ~~[WPI]【Hackathon 5th No.110】为 Paddle 增强 sparse.matmul API~~ 【Hackathon 5th No.110】为 Paddle 增强 sparse.matmul API Dec 13, 2023

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fix

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MayYouBeProsperous added 4 commits December 19, 2023 06:59

fix 3d

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codestyle

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fix

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MayYouBeProsperous requested a review from zhwesky2010 December 20, 2023 02:42

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use CastCsrKernel

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optimize int32 index

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MayYouBeProsperous added 3 commits December 30, 2023 08:05

Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into sm

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fix

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MayYouBeProsperous added 2 commits January 2, 2024 06:32

fix cuda<11.8

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MayYouBeProsperous added 5 commits January 9, 2024 16:07

fix batched computation

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fix cuda version check

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fix

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MayYouBeProsperous dismissed zhwesky2010’s stale review via 1f34f1c January 11, 2024 09:45

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luotao1 merged commit dab5512 into PaddlePaddle:develop Jan 12, 2024
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		sp_x = origin_x.detach().to_sparse_coo(len(x_shape))

		# only support 32-bit index.

【Hackathon 5th No.110】为 Paddle 增强 sparse.matmul API #59890

【Hackathon 5th No.110】为 Paddle 增强 sparse.matmul API #59890

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MayYouBeProsperous commented Dec 11, 2023 • edited Loading

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