- 05 8月, 2022 1 次提交
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由 Feiyu Chan 提交于
* move fft kernels to phi, done with cufft, pocketfft, mkl_cdft, hipfft * make stft_op use fft from phi/kernels/funcs, clean code
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- 15 7月, 2022 1 次提交
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由 Ruibiao Chen 提交于
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- 14 7月, 2022 1 次提交
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由 wanghuancoder 提交于
* Compilation optimization
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- 12 7月, 2022 1 次提交
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由 qipengh 提交于
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- 24 6月, 2022 1 次提交
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由 王明冬 提交于
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- 14 6月, 2022 1 次提交
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由 Wilber 提交于
* cmake-lint * update
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- 10 6月, 2022 1 次提交
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由 Leo Chen 提交于
* make all phi kernels to 2(host/device) static libraries directly * fix calling kernel_declare * fix compile * fix cpu compile * fix rocm compile * fix xpu compile * fix xpu kp compile * fix inference compile
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- 02 6月, 2022 1 次提交
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由 sneaxiy 提交于
* support CUDAGraph for partial graph * add ut * fix ci * fix ut again because of eager mode * fix kunlun ci * fix win ci
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- 16 4月, 2022 1 次提交
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由 王明冬 提交于
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- 13 4月, 2022 1 次提交
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由 levi131 提交于
* native commit for triple grad of sigmod * Updated unittests files * init functional jacobian api * Updated trible_test func * Updated gradient_checker & test_script * finish test with dtype float32 * add float64 test case * polish code * use atol=1e-5 with dtype float64 * fix for ci * set timeout for test_jacobian * fix dygraph grad to support high differential * polish API docstring * Updated gradient checker and some related files * fix double grad strip error for high differential * fix double grad strip error for high differential * Add Sigmoid triple grad tests * fix dygraph double grad dtype error when calling for high differential senario * Updated triple grad teses func * Use np.random to initialize ddx * Updated triple_grad_check func * add todo for gradient checker and refine some comments * remove additional code * add test for warnging in backward.py * format python code * support multi input in triple gradient checker * Add matmul triple grad kernel * Updated comments of TODO * Supported some special tests * Change code-format to follow CI std * Updated gradient_checker.py * Fix conflicts * Removed unnecessary printing log * Change code style to follow CI std * merge upstream * add_p * rm useless files * add sub_p mul_p div_p * add sqrt_p and tanh_p * add reshape_p * add broadcast_p * add broadcast_p fill_constant_p matmul_p reduce_p reshape_p transpose_p * add split_p and concat_p * add gather_p and scatter_add_p * add slice_select_p and slice_assign_p * add multi input check for add_p, sub_p, mul_p, div_p * update concat_p * refine gather_p and scatter_add_p * refine slice_assign_p and slice_select_p * add 9 test for prim ops * add more test and fix some bug * add more test * register proto * add shape valid check for broadcast_p op, and add keepdim attr into reduce_p op proto * support multi input and multi output for split_p and concat_p * fix slice bug for slice_select_p and slice_assign_p * dtype for axis attr should be long int * update dtype for axis attr int64_t * update for iscan CI * add more shape and dtype check * change IndexTensor into int32 dtype
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- 05 4月, 2022 1 次提交
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由 Guanghua Yu 提交于
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- 28 3月, 2022 1 次提交
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由 0x45f 提交于
* moving OP * move forward * move grad and infershape * code format * format code * fix code * fix code * fix CMakerLists.txt * fix comments * Refine CMakeLists for rocm ci
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- 10 3月, 2022 1 次提交
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由 Zhong Hui 提交于
* move segment_pool to phi. * mark summed ids as optional tensor. * fix as reviews.
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- 24 2月, 2022 1 次提交
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由 Chen Weihang 提交于
* rename pten to phi * fix infrt compile failed * resolve conflict
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- 16 2月, 2022 1 次提交
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由 Feiyu Chan 提交于
* move complex_functors.h and update all references to symbols within it
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- 26 1月, 2022 2 次提交
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由 Leo Chen 提交于
* update cmake file to remove fluid kernel * add pten declaration.h to where pybind.h used * fix sync_bn and tensorrt_engine * refine detection_library * fix interpreter_core * support eager legacy * fit eager legacy for pten * fall back to cpu if not found kernel * fix compile problem * fix compile problem * refine fallback logic * fit operator.run() * fix xpu compile * fit for new_exec * add REGISTER_OP_WITHOUT_GRADIENT * un-cache pt_kernel_context * fix compile * fix cudnn * fix compiling with on_infer * fix mkldnn * fix isfinite_v2 * fix xpu problem * fix op_device * refine fallback for xpu * fix xpu compile * merge develop * refine code format * fix compile * fix compile * add data_transfer * fix PreparePtenData * fix cpu context * merge develop * fix compile * fix error device context * fix xpu * fix dev_ctx
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由 Allen Guo 提交于
* sync misc changes * apply comments 01 * fix compile error * remove is_ipu_place check * add authors Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai> Co-authored-by: NAllen Guo <alleng@graphcore.ai> Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai> Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai> Co-authored-by: NHan Zhao <hanzhao@graphcore.ai> * sync changes * restore cmake * update ir cmake and setup.py * update inference_lib cmake * restore for split PR Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai> Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai> Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai> Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>
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- 24 1月, 2022 1 次提交
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由 Feiyu Chan 提交于
* migration of functors in paddle/fluid/operators/eigen and paddle/fluid/platform/eigen_ext.h * update path of data types like float16.h in includes in extensions.h
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- 21 1月, 2022 1 次提交
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由 Weilong Wu 提交于
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- 28 12月, 2021 1 次提交
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由 huangxu96 提交于
* add API and op for take_along_axis * fix compile dependency problem and add example code and doc * add unitest * delete some code for CI coverage * fix code style problem * fix as review
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- 20 12月, 2021 1 次提交
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由 fwenguang 提交于
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- 08 12月, 2021 1 次提交
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由 CtfGo 提交于
1. add a subdirectory named `cinn` in `paddle/fluid/operators` directory and move releated files into it 2. seperate CinnLaunchContext class from `cinn_launch_op.h` and put it in a new independent file named `cinn_launch_context.h`, so that it can be included by others clearly.
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- 06 12月, 2021 1 次提交
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由 Huihuang Zheng 提交于
1. Modify git tag for CINN 2. Support compile option "-DWITH_CINN=ON, -DWITH_TESTING=OFF"
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- 01 12月, 2021 1 次提交
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由 sneaxiy 提交于
* fix inplace addto pass * update * fix ut * improve ci coverage * fix musl ci compile error
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- 27 11月, 2021 1 次提交
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由 Aganlengzi 提交于
* [NPU] reorganization for device API abstraction * [NPU] delete old files * [NPU] fix npu_collective_helper * [NPU] fix collective_helper * [NPU] fix ut * [NPU] mod memory allocation and hccl_helper * [NPU] fix place_type * [NPU] split enfoce.h * move acl* call into npu_info * merge conflict * fix merge * merge conflict * merge conflict
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- 19 11月, 2021 1 次提交
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由 LiYuRio 提交于
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- 13 11月, 2021 1 次提交
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由 CtfGo 提交于
Modify serveral implements on CinnLaunchOp: 1. Skip checking input variables must be used 2. Move current helper functions to a CinnlaunchContext
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- 03 11月, 2021 1 次提交
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由 CtfGo 提交于
1. 功能不变,简化CinnLaunchOpKernel实现:将原先直接从Scope获取变量信息的方式改为借助参数ExecutionContext标准接口获取,简化了实现逻辑,相应地也简化了辅助函数的实现,原先cinn_launch_op_helper较为冗余,删除不必要的接口并迁移至cinn_launch_op.cc中定义。 2. 修复CinnLaunchOp InferShape判断是否有指定输出:HasOutput->HasOutputs 3. 添加详细的注释和debug信息,方便问题排查和代码维护
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- 02 11月, 2021 1 次提交
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由 Liu-xiandong 提交于
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- 01 11月, 2021 2 次提交
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由 Chen Weihang 提交于
* initial tensor design & sign kernel demo * add move constructor for meta & add lodtensor * add dirs & sign xpu kernel * add mean cpu&cuda kernel impl * move sign & mean xpu & npu kernel * add selected_rows basic impl * refactor design, BaseTensor to DenseTensor, etc. * add scale mkldnn kernel * polish xpu & npu impl details * fix mkldnn reuse compile failed * change tensor operation lib name * rename util filename * add more comments * change TensorImplInterface to TensorInterface * add kernel key and factory * remove MKLDNNTensorMeta, add MKLDNNDenseTensor * change XXDeviceContext to XXContext * add base kernel registrar utils & test on sign * replace boost::any by paddle::any * fix several ci failed * fix npu compile error * add ordered map util * fix multiple ordered_map compile errors * move dev into include dir * support sign op in static op run * fix static op run error * fix new executor compile failed * add dygraph branch & remove sign_op.h * fix test_infer_no_need_buffer_slots * fix rocm compile link error * fix unitybuild error & clear glog * fix npu compile failed * skip quant trans test * fix part windows compile problem * fix xpu enforce error * fix inference test failed * remove ordered_map to solve quant failed * fix part of rcom compile faild * add more register kernels * revert scale kernel temporarily * fix code format error * add new kernel registrar marco * rename top to tcmpt * revert xpu, npu, mkldnn impl & remove op def * add kernel args parse functor to auto parse args * revert some change & add scale kernels * add op proto in dygraph kernelcontext building * polish kernel dispatch logic & nameing rule * fix scale kernel match error * fix scale test failed * add mean API and unittest * test mean api success * add branch to solve compiled error * skip clang format error * add mean skip rule in op_library * add dot kernel, api and unittest (#6) * remove old kernel and add symbol link * fix dot compiled failed * add merco for module declare * fix npu and xpu compile error * revert sign, mean, scale, dot kernel removing * add comment for keeping old kernel impl * fix mutable_data error * fix bfloat16 conflit * fix inference undef error * adapt to msvc compile rules * polish comment for template inst * add cmake template instantiation for win * fix backend to place device id bug * fix ifdef error * Op2functor (#7) * add kernel args maker class * make args maker non-const * remove debug log * modify codes by review options * split constructPrKernelContext function * fix output name bug * fix test_mean_op test_sign_op failed * fill_any_like kernel refactor (#10) * fill_any_like kernel refactor * remove useless code of full_like c++ api * skip dtype for fill_any_like * add attrs for kernel key constrcut * add use_pt_kernel Flags to control whether to use pt kernel (#13) * add use_pt_kernel Flags to control whether to use pt kernel * change the default value to true for cheking pt kernels * fix mutable_data cuda place error * move high level apis into hapi * remove selectedrows adapting temporarily * Support Scalar in Tensor Compute Library (#14) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * remove mkldnn tensor & polish details * use flat_hash_map and small_vector in kernel factory * Refactor flatten kernel (#12) * refactor flatten kernel * update infershape function * fix compile bugs * fix bugs when merge * fix compiler bugs * fix bugs when run test_flatten_api * fix bugs when run test * Revert "use flat_hash_map and small_vector in kernel factory" This reverts commit 23091495cfdd3df8cc1be592d30f09ea66a7c72b. * Move cpu, cuda and other device code into kernels (#15) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * start refactor matmul * move cpu, cuda and other device modules into kernels * merge code * polish code in operator.cc * Perfect unitests (#16) * perfect unittest * update license * replace with flat_hash_map, small_vector (#19) * fix small_vector build error on windows platform * replace with flat_hash_map, small_vector * remove todo * Perfect unitests (#20) * perfect unittest * update license * fix bug when run tcmpt_utils_test * refactor execution adapting impl * fix insert conflit * Fix CI bug of test_yolov3 (#21) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * start refactor matmul * move cpu, cuda and other device modules into kernels * merge code * polish code in operator.cc * Fix CI bug of test_yolov3 * add the tensor base class, test=develop (#17) * update the tensor base class, test=develop * remove two funcs, test=develop * update the error msg, test=develop Co-authored-by: NChen Weihang <chenweihang@baidu.com> * [no-verify] commit backend and tensor signature changes * Rename tcmpt to pten (#23) * rename tcmpt to pten * update omitted files for rename to pten * update omitted file for rename to pten * remove k of all enum var * remove kernel_instantiate (#26) * remove symbols and spatial_tensor * change common to functions * readd share tensor impl methods * add a candidate dense tensor class, test=develop (#28) * change all Pt to Pten * resolve conflit with xiaowei * Op2functor opt1 (#27) * replace to small vector and change to const & * add std::move Co-authored-by: NChen Weihang <chenweihang@baidu.com> * polish kernel factory and kernel registry * fix operator test error msg mismatch * remove tensor signature and backend set member * move scalar and polish enforce * revert dtype layout change to fix error * fix enum operator override error * add several base unittests * add pten utils tests * polish some details * Dev/op2func refactor 3 (#30) * add a candidate dense tensor class, test=develop * remove TensorBase::backend(), test=develop * remove some ops, test=develop * cherry-pick the pr of tensor meta, test=develop * moves the dense tensor and some ops, test=develop * update the linalg operator, test=develop * update other operators, test=develop * fix errors, test=develop * fix bugs, test=develop * try to resolve the problem of windows ci, test=develop * updates codes, test=develop * fix the tensor_utils.cc, test=develop * modify the dense tensor, test=develop * fix the data type, test=develop Co-authored-by: Nshixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com> * polish some details * polish kernel signature details * fix a bug about offsets of the tensor, test=develop (#31) Co-authored-by: Nshixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com> * polish some details Co-authored-by: Nchentianyu03 <ctychentianyu@gmail.com> Co-authored-by: Nzyfncg <1370305206@qq.com> Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com> Co-authored-by: N石晓伟 <39303645+Shixiaowei02@users.noreply.github.com>
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由 CtfGo 提交于
增加CinnLaunchOp,负责执行Cinn子图编译的结果,要点如下: 1. 在子图划分的BuildCinnPass中,每个子图在原图中会被替换为该CinnLaunchOp,由它来调用Cinn进行子图编译、执行的功能。 2. CinnLaunchOp的输入/输出即为子图的输入和输出,另外增加`compilation_key`属性,它可由该属性key从全局Cache中获取子图对象、编译结果,该属性由BuildCinnPass在创建Op时进行设置 3. CinnLaunchOp功能实现的流程为: - 从全局Cache中获取子图对象 - 从全局Cache中获取子图编译结果,未命中cache时进行即时编译 - 根据编译结果的变量信息(数据类型、shape)初始化运行时数据,分配内存/显存 - 将运行时数据打包为参数,调用cinn的可执行对象runtime program进行计算 - 子图运行结果通过参数指针同步到paddle侧的tensor
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- 21 10月, 2021 1 次提交
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由 furnace 提交于
* add sync_batch_norm (support train, infer, and fp32, fp16, and NCHW, NHWC) * [NPU] Delete debug codes * [NPU] Remove FP16
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- 20 10月, 2021 1 次提交
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由 Steffy-zxf 提交于
Add Tokenizer related functionalities for Transformer model in order that the process of training and predicting is consistent. * support the text string as an input Tensor * support the "VOCAB"unordered_map<wstring, int> as an input Tensor to lookup tokens * Tokenizer used for BERT. This tokenizer applies an end-to-end, text string to wordpiece tokenization. * It first applies basic tokenization, followed by wordpiece tokenization.
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- 19 10月, 2021 1 次提交
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由 Xiaoxu Chen 提交于
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- 15 10月, 2021 1 次提交
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由 Feiyu Chan 提交于
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- 11 10月, 2021 1 次提交
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由 Liu-xiandong 提交于
Add paddle.nn.functional.sparse_attention API 本个PR主要将sparse_attention功能在python层进行了一层封装,OP的主体代码见:#PR35676 此外,对于封装的python 接口,增加了相应的单测。
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- 28 9月, 2021 1 次提交
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由 Liu-xiandong 提交于
Add sparse_attention OPs, python api will be added in next pr
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- 24 9月, 2021 1 次提交
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由 Weilong Wu 提交于
* Add linalg.solve op, test=develop * Fix a bug caused by accidental deletion * updated description and fix a bug: missing a comma * Add linalg.solve op, test=develop * updated solve op backward logic * updated solve op backward logic again * Add linalg.solve Op, test=develop * Updated and modified to fit CI requirements * Fix a bug * 1)Add more test cases; 2)Fix a wrong usage in reduces operation; 3)Remove redundant code * Remove redundant comments * 1)Removed redundant code; 2)Updated to enhance code robustness * Removed redundant code * Updated API documents
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- 22 9月, 2021 1 次提交
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由 zhouweiwei2014 提交于
* support extern third_party lapack on Linux/Windows/Mac * fix ci
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- 18 9月, 2021 1 次提交
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由 Feiyu Chan 提交于
* 1. add interface for fft; 2. add data type predicate; 3. fix paddle.roll. * add fft c2c cufft kernel * implement argument checking & op calling parts for fft_c2c and fftn_c2c * add operator and opmaker definitions * only register float and double for cpu. * add common code for implementing FFT, add pocketfft as a dependency * add fft c2c cufft kernel function * fix bugs in python interface * add support for c2r, r2c operators, op makers, kernels and kernel functors. * test and fix bugs * 1. fft_c2c function: add support for onesided=False; 2. add complex<float>, complex<double> support for concat and flip. * 1. fft: fix python api bugs; 2. shape_op: add support for complex data types. * fft c2c cufft kernel done with complie and link * fix shape_op, add mkl placeholder * remove mkl * complete fft c2c in gpu * 1. implement mkl-based fft, FFTC2CFunctor and common function exec_fft; 2. change the design, add input and output typename as template parameter for all FFTFunctors, update pocketfft-based implementation. * complete fft c2c on gpu in ND * complete fft c2c on gpu in ND * complete fft c2c backward in ND * fix MKL-based implementation * Add frame op and CPU/GPU kernels. * Add frame op forward unittest. * Add frame op forward unittest. * Remove axis parameter in FrameFunctor. * Add frame op grad CPU/GPU kernels and unittest. * Add frame op grad CPU/GPU kernels and unittest. * Update doc string. * Update after review and remove librosa requirement in unittest. * Update grad kernel. * add fft_c2r op * Remove data allocation in TransCompute function. * add fft r2c onesided with cpu(pocketfft/mkl) and gpu * last fft c2r functor * fix C2R and R2C for cufft, becase the direction is not an option in these cases. * add fft r2c onesided with cpu(pocketfft/mkl) and gpu * fix bugs in python APIs * fix fft_c2r grad kernal * fix bugs in python APIs * add cuda fft c2r grad kernal functor * clean code * fix fft_c2r python API * fill fft r2c result with conjugate symmetry (#19) fill fft r2c result with conjugate symmetry * add placeholder for unittests (#24) * simple parameterize test function by auto generate test case from parm list (#25) * miscellaneous fixes for python APIs (#26) * add placeholder for unittests * resize fft inputs before computation is n or s is provided. * add complex kernels for pad and pad_grad * simplify argument checking. * add type promotion * add int to float or complex promotion * fix output data type for static mode * fix fft's input dtype dispatch, import fft to paddle * fix typos in axes checking (#27) * fix typos in axes checking * fix argument checking (#28) * fix argument checking * Add C2R Python layer normal and abnormal use cases (#29) * documents and single case * test c2r case * New C2R Python layer normal and exception use cases * complete rfft,rfft2,rfftn,ihfft,ihfft2,ihfftn unittest and doc string (#30) * Documentation of the common interfaces of c2r and c2c (#31) * Documentation of the common interfaces of c2r and c2c * clean c++ code (#32) * clean code * Add numpy-based implementation of spectral ops (#33) * add numpy reference implementation of spectral ops * Add fft_c2r numpy based implementation for unittest. (#34) * add fft_c2r numpy implementation * Add deframe op and stft/istft api. (#23) * Add frame api * Add deframe op and kernels. * Add stft and istft apis. * Add deframe api. Update stft and istft apis. * Fix bug in frame_from_librosa function when input dims >= 3 * Rename deframe to overlap_add. * Update istft. * Update after code review. * Add overlap_add op and stft/istft api unittest (#35) * Add overlap_add op unittest. * Register complex kernels of squeeze/unsquuze op. * Add stft/istft api unittest. * Add unittest for fft helper functions (#36) * add unittests for fft helper functions. add complex kernel for roll op. * complete static graph unittest for all public api (#37) * Unittest of op with FFT C2C, C2R and r2c added (#38) * documents and single case * test c2r case * New C2R Python layer normal and exception use cases * Documentation of the common interfaces of c2r and c2c * Unittest of op with FFT C2C, C2R and r2c added Co-authored-by:
lijiaqi <lijiaqi0612@163.com> * add fft related options to CMakeLists.txt * fix typos and clean code (#39) * fix invisible character in mkl branch and fix error in error message * clean code: remove docstring from unittest for signal.py. * always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype. (#40) * always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype. * fix CI Errors: numpy dtype comparison, thrust when cuda is not available (#41) 1. always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype. 2. promote floating point tensor to complex tensor ior fft_c2c and fft_c2r; 3. fix unittest to catch UnImplementedError and RuntimeError; 4. fix compile error by avoid using thrust when cuda is not available. 5. fix sample code, use paddle.fft instead of paddle.tensor.fft * remove inclusion of thrust, add __all__ list for fft (#42) * Add api doc and update unittest. (#43) * Add doc strings. * Update overlap_add op unittest * fix MKL-based FFT implementation (#44) * fix MKL-based FFT implementation, MKL CDFT's FORWARD DOMAIN is always REAL for R2C and C2R * remove code for debug (#45) * use dynload for cufft (#46) * use std::ptrdiff_t as datatype of stride (instead of int64_t) to avoid argument mismatch on some platforms. * add complex support for fill_zeros_like * use dynload for cufft * Update doc and unittest. (#47) * Add doc of frame op and overlap_add op. * Update unittest. * use dynload for cufft (#48) 1. use dynload for cufft 2. fix unittest; 3. temporarily disable Rocm. * fix conflicts and merge upstream (#49) fix conflicts and merge upstream * fix compile error: only link dyload_cuda when cuda is available (#50) * fix compile error: only link dyload_cuda when cuda is available * fix dynload for cufft on windows (#51) 1. fix dynload for cufft on windows; 2. fix unittests. * add NOMINMAX to compile on windows (#52) add NOMINMAX to compile on windows * explicitly specify capture mode for lambdas (#55) explicitly specify capture mode for lambdas * fix fft sample (#53) * fix fft sample * update scipy and numpy version for unittests of fft (#56) update scipy and numpy version for unittests of fft * Add static graph unittests of frame and overlap_add api. (#57) * Remove cache of cuFFT & Disable ONEMKL (#59) 1. replace numpy.fft with scipy.fft as numpy<1.20 not support ortho norm 2. remove cache of cufft plans; 3. enhance error checking. 4. default WITH_ONEMKL to OFF Co-authored-by: Njeff41404 <jeff41404@gmail.com> Co-authored-by: Nroot <root@bjyz-sys-gpu-kongming9.bjyz.baidu.com> Co-authored-by: NKP <109694228@qq.com> Co-authored-by:
lijiaqi <lijiaqi0612@163.com> Co-authored-by: NXiaoxu Chen <chenxx_id@163.com> Co-authored-by: Nlijiaqi0612 <33169170+lijiaqi0612@users.noreply.github.com>
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