diff --git a/develop/api_doc/_sources/v2/fluid/data_feeder.rst.txt b/develop/api_doc/_sources/fluid/data_feeder.rst.txt similarity index 100% rename from develop/api_doc/_sources/v2/fluid/data_feeder.rst.txt rename to develop/api_doc/_sources/fluid/data_feeder.rst.txt diff --git a/develop/api_doc/_sources/v2/fluid/evaluator.rst.txt b/develop/api_doc/_sources/fluid/evaluator.rst.txt similarity index 100% rename from develop/api_doc/_sources/v2/fluid/evaluator.rst.txt rename to develop/api_doc/_sources/fluid/evaluator.rst.txt diff --git a/develop/api_doc/_sources/v2/fluid/executor.rst.txt b/develop/api_doc/_sources/fluid/executor.rst.txt similarity index 100% rename from develop/api_doc/_sources/v2/fluid/executor.rst.txt rename to develop/api_doc/_sources/fluid/executor.rst.txt diff --git a/develop/api_doc/_sources/fluid/index.rst.txt b/develop/api_doc/_sources/fluid/index.rst.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0710d8b19956eb235890fdb2a2d764084416aa5 --- /dev/null +++ b/develop/api_doc/_sources/fluid/index.rst.txt @@ -0,0 +1,18 @@ +====================== +Fluid +====================== + +.. toctree:: + :maxdepth: 1 + + layers.rst + data_feeder.rst + executor.rst + initializer.rst + evaluator.rst + nets.rst + optimizer.rst + param_attr.rst + profiler.rst + regularizer.rst + io.rst diff --git a/develop/api_doc/_sources/v2/fluid/initializer.rst.txt b/develop/api_doc/_sources/fluid/initializer.rst.txt similarity index 100% rename from develop/api_doc/_sources/v2/fluid/initializer.rst.txt rename to develop/api_doc/_sources/fluid/initializer.rst.txt diff --git a/develop/api_doc/_sources/v2/fluid/io.rst.txt b/develop/api_doc/_sources/fluid/io.rst.txt similarity index 100% rename from develop/api_doc/_sources/v2/fluid/io.rst.txt rename to develop/api_doc/_sources/fluid/io.rst.txt diff --git a/develop/api_doc/_sources/v2/fluid/layers.rst.txt b/develop/api_doc/_sources/fluid/layers.rst.txt similarity index 100% rename from develop/api_doc/_sources/v2/fluid/layers.rst.txt rename to develop/api_doc/_sources/fluid/layers.rst.txt diff --git a/develop/api_doc/_sources/v2/fluid/nets.rst.txt b/develop/api_doc/_sources/fluid/nets.rst.txt similarity index 100% rename from develop/api_doc/_sources/v2/fluid/nets.rst.txt rename to develop/api_doc/_sources/fluid/nets.rst.txt diff --git a/develop/api_doc/_sources/v2/fluid/optimizer.rst.txt b/develop/api_doc/_sources/fluid/optimizer.rst.txt similarity index 100% rename from develop/api_doc/_sources/v2/fluid/optimizer.rst.txt rename to develop/api_doc/_sources/fluid/optimizer.rst.txt diff --git a/develop/api_doc/_sources/v2/fluid/param_attr.rst.txt b/develop/api_doc/_sources/fluid/param_attr.rst.txt similarity index 100% rename from develop/api_doc/_sources/v2/fluid/param_attr.rst.txt rename to develop/api_doc/_sources/fluid/param_attr.rst.txt diff --git a/develop/api_doc/_sources/v2/fluid/profiler.rst.txt b/develop/api_doc/_sources/fluid/profiler.rst.txt similarity index 100% rename from develop/api_doc/_sources/v2/fluid/profiler.rst.txt rename to develop/api_doc/_sources/fluid/profiler.rst.txt diff --git a/develop/api_doc/_sources/v2/fluid/regularizer.rst.txt b/develop/api_doc/_sources/fluid/regularizer.rst.txt similarity index 100% rename from develop/api_doc/_sources/v2/fluid/regularizer.rst.txt rename to develop/api_doc/_sources/fluid/regularizer.rst.txt diff --git a/develop/api_doc/_sources/index_en.rst.txt b/develop/api_doc/_sources/index_en.rst.txt index 77337982be1b9b90d1692ab8b83177ebfa8208b2..fc8dbd07eba248942c03c2b609cfc8d8712ed0c7 100644 --- a/develop/api_doc/_sources/index_en.rst.txt +++ b/develop/api_doc/_sources/index_en.rst.txt @@ -8,4 +8,4 @@ API v2/model_configs.rst v2/data.rst v2/run_logic.rst - v2/fluid.rst + fluid/index.rst diff --git a/develop/api_doc/_sources/v2/fluid.rst.txt b/develop/api_doc/_sources/v2/fluid.rst.txt deleted file mode 100644 index 5f15cad2b530dfb3702357b3c26885ac2a7b7beb..0000000000000000000000000000000000000000 --- a/develop/api_doc/_sources/v2/fluid.rst.txt +++ /dev/null @@ -1,18 +0,0 @@ -====================== -Fluid -====================== - -.. toctree:: - :maxdepth: 1 - - fluid/layers.rst - fluid/data_feeder.rst - fluid/executor.rst - fluid/initializer.rst - fluid/evaluator.rst - fluid/nets.rst - fluid/optimizer.rst - fluid/param_attr.rst - fluid/profiler.rst - fluid/regularizer.rst - fluid/io.rst diff --git a/develop/api_doc/v2/fluid/data_feeder.html b/develop/api_doc/fluid/data_feeder.html similarity index 67% rename from develop/api_doc/v2/fluid/data_feeder.html rename to develop/api_doc/fluid/data_feeder.html index 7083f753e2656a98429702c91afc7919e455eb86..a7d99b8f657cc1122a903b61f9644061641bf585 100644 --- a/develop/api_doc/v2/fluid/data_feeder.html +++ b/develop/api_doc/fluid/data_feeder.html @@ -24,21 +24,21 @@ - + - - - + href="../genindex.html"/> + + + - + + @@ -61,7 +61,7 @@
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+ @@ -110,25 +110,25 @@
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            • @@ -162,7 +162,7 @@
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                      • @@ -162,7 +162,7 @@
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                                • @@ -162,7 +162,7 @@
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                                                              Next - Previous + Previous
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Inference"],titleterms:{"while":6,Abs:14,abs:6,accuraci:[1,6],activ:[14,17],adadelta:19,adagrad:[8,19],adam:[8,19],adamax:[8,19],addto:17,aggreg:17,aggregatelevel:17,api:[12,13],append_regularization_op:11,array_length:6,array_read:6,array_to_lod_tensor:6,array_writ:6,assign:6,attribut:15,auc:16,avg:20,basepool:20,batch_norm:[6,17],beam_search:[6,17],beam_search_decod:6,bidirectional_gru:18,bidirectional_lstm:18,bilinear_interp:17,block_expand:17,blockguard:6,blockguardserv:6,blockguardwithcomplet:6,brelu:[6,14],cast:6,ceil:6,check:17,chunk:16,chunk_ev:6,chunkevalu:1,cifar:23,classif:16,classification_error:16,classification_error_print:16,clip:[6,17],clip_by_norm:6,column_sum:16,concat:[6,17],conditionalblock:6,configur:25,conll05:23,connect:17,constant:4,context_project:17,control_flow:6,conv2d:6,conv2d_transpos:6,conv:17,conv_oper:17,conv_project:17,conv_shift:17,cos_sim:[6,17],cost:17,create_arrai:6,create_global_var:6,create_paramet:6,create_tensor:6,crf:17,crf_decod:[6,17],cross_channel_norm:17,cross_entropi:6,cross_entropy_cost:17,cross_entropy_with_selfnorm_cost:17,ctc:17,ctc_error:16,ctc_greedy_decod:6,cuda_profil:10,cudnnavg:20,cudnnmax:20,data:[6,17,21,22],data_feed:0,datafeed:[0,22],dataset:[21,23],datatyp:22,decayedadagrad:[8,19],detect:16,detection_map:16,detection_output:17,devic:6,dot_prod:17,dot_product_attent:18,dotmul_oper:17,dotmul_project:17,dropout:[6,17],dynamic_gru:6,dynamic_lstm:6,dynamic_lstmp:6,dynamicrnn:6,edit_dist:6,elementwise_add:6,elementwise_div:6,elementwise_max:6,elementwise_min:6,elementwise_mul:6,elementwise_pow:6,elementwise_sub:6,elu:6,embed:[6,17],eos:17,evalu:[1,16],event:26,executor:2,exp:[6,14],expand:17,expandlevel:17,factorization_machin:17,fill_const:6,fill_constant_batch_size_lik:6,first_seq:17,floor:6,fluid:3,full_matrix_project:17,fulli:17,gated_unit:17,get_inference_program:5,get_output:17,get_plac:6,global_scop:2,glu:7,gradient_print:16,group:17,gru:18,gru_group:18,gru_step:17,gru_unit:[6,18],grumemori:17,hard_shrink:6,hard_sigmoid:6,hsigmoid:17,huber_classification_cost:17,huber_regression_cost:17,ident:14,identity_project:17,ifels:6,im2sequ:6,imag:[17,18,24],imdb:23,img_cmrnorm:17,img_conv:17,img_conv_bn_pool:18,img_conv_group:18,img_pool:17,imikolov:23,increment:6,infer:26,initi:4,interfac:[21,22,24],interpol:17,kmax_sequence_scor:17,l1decai:11,l2_distanc:17,l2_normal:6,l2decai:11,lambda_cost:17,last_seq:17,layer:[6,17],layer_norm:6,leaky_relu:6,less_than:6,linear:14,linear_chain_crf:6,linear_comb:17,listenandserv:6,load_inference_model:5,load_param:5,load_persist:5,load_var:5,lod_rank_t:6,lod_tensor_to_arrai:6,log:[6,14],logsigmoid:6,lstm:18,lstm_step:17,lstm_unit:6,lstmemori:17,lstmemory_group:18,lstmemory_unit:18,math:17,matmul:6,max:20,max_sequence_len:6,maxframe_print:16,maxid:17,maxid_print:16,maxout:17,mean:6,memori:17,merge_lod_tensor:6,minibatch:22,mix:17,mnist:23,model:25,momentum:[8,19],movielen:23,mul:6,multi_binary_label_cross_entropy_cost:17,multibox_loss:17,multiplex:[6,17],nce:[6,17],net:7,network:18,nlp:18,norm:17,normal:4,ones:6,ops:6,optim:[8,19],out_prod:17,overview:13,pad:17,paralleldo:6,param_attr:9,paramattr:9,paramet:[15,26],pnpair:16,pool2d:6,pool:[17,20],pow:6,power:17,precision_recal:16,prelu:17,print:[6,16],profil:10,rank:16,rank_cost:17,reader:[21,22],reciproc:6,recurr:[17,18],recurrent_group:17,reduce_max:6,reduce_mean:6,reduce_min:6,reduce_sum:6,regular:11,relu6:6,relu:[6,14],reorder_lod_tensor_by_rank:6,repeat:17,reset_profil:10,reshap:[6,17],resiz:17,rmsprop:19,roi_pool:17,rotat:17,round:6,row_conv:[6,17],row_l2_norm:17,sampl:17,sampling_id:17,save_inference_model:5,save_param:5,save_persist:5,save_var:5,scale:[6,17],scale_shift:17,scaled_dot_product_attent:7,scaling_project:17,scope_guard:2,selective_fc:17,send:6,sentiment:23,seq_concat:17,seq_reshap:17,seq_slic:17,seqtext_print:16,sequence_conv:6,sequence_conv_pool:[7,18],sequence_expand:6,sequence_first_step:6,sequence_last_step:6,sequence_pool:6,sequence_reshap:6,sequence_softmax:6,sequencesoftmax:14,sgd:8,shrink_memori:6,sigmoid:[6,14],sigmoid_cross_entropy_with_logit:6,simple_attent:18,simple_gru2:18,simple_gru:18,simple_img_conv_pool:[7,18],simple_lstm:18,slice_project:17,slope_intercept:17,small_vgg:18,smooth_l1_cost:17,soft_relu:6,softmax:14,softplu:6,softrelu:14,softshrink:6,softsign:[6,14],split:6,split_lod_tensor:6,spp:17,sqrt:6,squar:[6,14],square_error_cost:[6,17],squarerootn:20,stanh:[6,14],staticrnn:6,staticrnnmemorylink:6,sub_nested_seq:17,sub_seq:17,sum:[6,16,20],sum_cost:17,sum_to_one_norm:17,swish:6,switch_scop:2,table_project:17,tanh:[6,14],tanh_shrink:6,tensor:[6,17],text_conv_pool:18,thresholded_relu:6,topk:6,train:26,trainer:26,tran:17,trans_full_matrix_project:17,transpos:6,uci_h:23,uniform:4,util:16,value_print:16,vgg_16_network:18,warp_ctc:17,warpctc:6,weightnormparamattr:9,whileguard:6,wmt14:23,wmt16:23,xavier:4,zero:6}}) \ No newline at end of file diff --git a/develop/api_doc/v2/config/activation.html b/develop/api_doc/v2/config/activation.html index c75692a25af473c04240e8e6986b9bcc7610b812..9b37b2daa0adec7a8109bd636f82fc3066288dc9 100644 --- a/develop/api_doc/v2/config/activation.html +++ b/develop/api_doc/v2/config/activation.html @@ -88,7 +88,7 @@
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                                        • Model Configuration
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                                    • Fluid @@ -666,7 +666,7 @@ outout_layer1.field2, outout_layer2.field2 ...

                                -

                                An actual Fluid example is described here.

                                +

                                An actual Fluid example is described here.

                                From the example, the Fluid programs look very similar to their PyTorch equivalent programs, except that Fluid’s loop structure, wrapped with Python’s with statement, could run much faster than just a Python loop.

                                We have more examples of the if-then-else structure of Fluid.

                                diff --git a/develop/doc/design/memory_optimization.html b/develop/doc/design/memory_optimization.html index 4eda19afbede27c157b6fd3bd543c8a67e93471d..70b8a31e0b8f99025513286beec0842f92d42962 100644 --- a/develop/doc/design/memory_optimization.html +++ b/develop/doc/design/memory_optimization.html @@ -261,7 +261,7 @@ In former control flow graph, the out-edges of node 5 are 5 –> 6 and 5

                                contruct control flow graph

                                -

                                Following is the ProgramDesc protobuf of machine translation example.

                                +

                                Following is the ProgramDesc protobuf of machine translation example.

                                • Block0:
                                diff --git a/develop/doc/howto/cluster/fluid_cluster_train_en.html b/develop/doc/howto/cluster/fluid_cluster_train_en.html index add48d38b050568ec6beeea0c58051b370b90193..2f9d7090a124d1578fbb583e4976af84e48fb879 100644 --- a/develop/doc/howto/cluster/fluid_cluster_train_en.html +++ b/develop/doc/howto/cluster/fluid_cluster_train_en.html @@ -205,7 +205,7 @@

                                Let’s take Deep Learning 101‘s first chapter: “fit a line” as an example.

                                The non-cluster version of this demo with fluid API is as follows:

                                import paddle.v2 as paddle
-import paddle.v2.fluid as fluid
+import paddle.fluid as fluid
 
 x = fluid.layers.data(name='x', shape=[13], dtype='float32')
 y_predict = fluid.layers.fc(input=x, size=1, act=None)
@@ -291,9 +291,9 @@

                                E2E demo

                                -

                                Please find the complete demo from here. +

                                Please find the complete demo from here. First cd into the folder that contains the python files. In this case:

                                -
                                cd /paddle/python/paddle/v2/fluid/tests/book_distribute
+
                                cd /paddle/python/paddle/fluid/tests/book_distribute
 
                                
 
                                
 
                                In parameter server node run the following in the command line:
                                
diff --git a/develop/doc/howto/optimization/cpu_profiling_en.html b/develop/doc/howto/optimization/cpu_profiling_en.html
index 7cc1d038672c5347b1eeb1b95123d6acdeba026e..d17258ff890d578a0fb941a6df72af69ac8b66fe 100644
--- a/develop/doc/howto/optimization/cpu_profiling_en.html
+++ b/develop/doc/howto/optimization/cpu_profiling_en.html
@@ -219,7 +219,7 @@ specifies the profiling file, and
                                  -
                                • Variables: x, y, y_predict, cost and avg_cost. Python
                                  • -
                                • Layers: fluid.layers.data, fluid.layers.fc and fluid.layers.mean are layers. Python
                                    +
                                  • Variables: x, y, y_predict, cost and avg_cost. Python
                                    • +
                                  • Layers: fluid.layers.data, fluid.layers.fc and fluid.layers.mean are layers. Python
                                    • -
                                  • Executor: fluid.Executor(place). [Python, C++]
                                      +
                                    • Executor: fluid.Executor(place). [Python, C++]
                                      • Feeds the data: feed=feeder.feed(data)
                                      • Evaluates all the operators
                                      • Fetches the result: fetch_list=[avg_cost]
                                        • diff --git a/develop/doc_cn/_sources/design/concurrent_programming.md.txt b/develop/doc_cn/_sources/design/concurrent_programming.md.txt index afc65e831d58ff427663806e56294292ccbef85b..f022e67fd3a048cd7e53c91d9a1fd0506487b665 100644 --- a/develop/doc_cn/_sources/design/concurrent_programming.md.txt +++ b/develop/doc_cn/_sources/design/concurrent_programming.md.txt @@ -12,7 +12,7 @@ The following table compares concepts in Fluid and Go | Go | Fluid | |----|-------| -|user-defined functions | [layers](https://github.com/PaddlePaddle/Paddle/tree/develop/python/paddle/v2/fluid) | +|user-defined functions | [layers](https://github.com/PaddlePaddle/Paddle/tree/develop/python/paddle/fluid) | | control-flow and built-in functions | [intrinsics/operators](https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/operators) | | goroutines, channels | [class ThreadPool](https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/framework/thread_pool.h) | | runtime | [class Executor](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/executor.h) | diff --git a/develop/doc_cn/_sources/design/fluid.md.txt b/develop/doc_cn/_sources/design/fluid.md.txt index 2acc168007d25a083f588b48f84e12e29baf4f47..f78fa8c1914124f33b9730f918c8887ced4f8d9d 100644 --- a/develop/doc_cn/_sources/design/fluid.md.txt +++ b/develop/doc_cn/_sources/design/fluid.md.txt @@ -89,7 +89,7 @@ with train_loop.block(): h[t] = the_step(input[t]) ``` -An actual Fluid example is described [here](https://github.com/PaddlePaddle/Paddle/blob/a91efdde6910ce92a78e3aa7157412c4c88d9ee8/python/paddle/v2/fluid/tests/test_while_op.py#L36-L44). +An actual Fluid example is described [here](https://github.com/PaddlePaddle/Paddle/blob/bde090a97564b9c61a6aaa38b72ccc4889d102d9/python/paddle/fluid/tests/unittests/test_while_op.py#L50-L58). From the example, the Fluid programs look very similar to their PyTorch equivalent programs, except that Fluid's loop structure, wrapped with Python's `with` statement, could run much faster than just a Python loop. diff --git a/develop/doc_cn/_sources/design/memory_optimization.md.txt b/develop/doc_cn/_sources/design/memory_optimization.md.txt index 1f68cef4cc28cd005acbeaa5c03cc0d84a83939c..285464ada728d8f7a086a26beca6cfa4418e98e4 100644 --- a/develop/doc_cn/_sources/design/memory_optimization.md.txt +++ b/develop/doc_cn/_sources/design/memory_optimization.md.txt @@ -101,7 +101,7 @@ In-place is a built-in attribute of an operator. Since we treat in-place and oth #### contruct control flow graph -Following is the ProgramDesc protobuf of [machine translation](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/fluid/tests/book/test_machine_translation.py) example. +Following is the ProgramDesc protobuf of [machine translation](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/fluid/tests/book/test_machine_translation.py) example. - Block0: diff --git a/develop/doc_cn/_sources/howto/optimization/cpu_profiling_cn.md.txt b/develop/doc_cn/_sources/howto/optimization/cpu_profiling_cn.md.txt index 14eba0e2f34b115f5cd24920b5b1af07ec953d00..d59be670c2b33b64d9b6f96b53f50e5bf9f0613b 100644 --- a/develop/doc_cn/_sources/howto/optimization/cpu_profiling_cn.md.txt +++ b/develop/doc_cn/_sources/howto/optimization/cpu_profiling_cn.md.txt @@ -35,7 +35,7 @@ cprofilev -a 0.0.0.0 -p 3214 -f profile.out main.py ``` ncalls tottime percall cumtime percall filename:lineno(function) 1 0.284 0.284 29.514 29.514 main.py:1() - 4696 0.128 0.000 15.748 0.003 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/executor.py:20(run) + 4696 0.128 0.000 15.748 0.003 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/executor.py:20(run) 4696 12.040 0.003 12.040 0.003 {built-in method run} 1 0.144 0.144 6.534 6.534 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/__init__.py:14() ``` @@ -61,9 +61,9 @@ cprofilev -a 0.0.0.0 -p 3214 -f profile.out main.py ```text 4696 12.040 0.003 12.040 0.003 {built-in method run} 300005 0.874 0.000 1.681 0.000 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/dataset/mnist.py:38(reader) - 107991 0.676 0.000 1.519 0.000 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/framework.py:219(__init__) - 4697 0.626 0.000 2.291 0.000 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/framework.py:428(sync_with_cpp) - 1 0.618 0.618 0.618 0.618 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/__init__.py:1() + 107991 0.676 0.000 1.519 0.000 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/framework.py:219(__init__) + 4697 0.626 0.000 2.291 0.000 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/framework.py:428(sync_with_cpp) + 1 0.618 0.618 0.618 0.618 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/__init__.py:1() ``` 可以看到最耗时的函数是C++端的`run`函数。这需要联合我们第二节`Python`与`C++`混合代码的性能分析来进行调优。而`sync_with_cpp`函数的总共耗时很长，每次调用的耗时也很长。于是我们可以点击`sync_with_cpp`的详细信息，了解其调用关系。 @@ -76,9 +76,9 @@ Called By: Function was called by... ncalls tottime cumtime -/home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/framework.py:428(sync_with_cpp) <- 4697 0.626 2.291 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/framework.py:562(sync_with_cpp) -/home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/framework.py:562(sync_with_cpp) <- 4696 0.019 2.316 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/framework.py:487(clone) - 1 0.000 0.001 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/framework.py:534(append_backward) +/home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/framework.py:428(sync_with_cpp) <- 4697 0.626 2.291 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/framework.py:562(sync_with_cpp) +/home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/framework.py:562(sync_with_cpp) <- 4696 0.019 2.316 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/framework.py:487(clone) + 1 0.000 0.001 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/framework.py:534(append_backward) Called: diff --git a/develop/doc_cn/_sources/howto/read_source.md.txt b/develop/doc_cn/_sources/howto/read_source.md.txt index 31987920f32f217ac2db42548874cfe7da57dd72..edf46aff8c6cc9fc01d26c6453b3a8123238ef91 100644 --- a/develop/doc_cn/_sources/howto/read_source.md.txt +++ b/develop/doc_cn/_sources/howto/read_source.md.txt @@ -1,6 +1,6 @@ # PaddlePaddle Fluid Source Code Overview -Examples: https://github.com/PaddlePaddle/Paddle/tree/develop/python/paddle/v2/fluid/tests/book +Examples: https://github.com/PaddlePaddle/Paddle/tree/develop/python/paddle/fluid/tests/book Core: https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/framework @@ -26,16 +26,16 @@ sgd_optimizer = fluid.optimizer.SGD(learning_rate=0.001) sgd_optimizer.minimize(avg_cost) ``` -- Variables: `x`, `y`, `y_predict`, `cost` and `avg_cost`. [Python](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/fluid/framework.py#) -- Layers: `fluid.layers.data`, `fluid.layers.fc` and `fluid.layers.mean` are layers. [Python](https://github.com/PaddlePaddle/Paddle/tree/develop/python/paddle/v2/fluid/layers) +- Variables: `x`, `y`, `y_predict`, `cost` and `avg_cost`. [Python](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/fluid/framework.py#) +- Layers: `fluid.layers.data`, `fluid.layers.fc` and `fluid.layers.mean` are layers. [Python](https://github.com/PaddlePaddle/Paddle/tree/develop/python/paddle/fluid/layers) - Every Layer has one or more operators and variables/parameters - All the operators are defined at [`paddle/operators/`](https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/operators). Other worth-looking files: - Base class: [`paddle/framework/operator.h`](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/operator.h) - Operator Registration: [`paddle/framework/op_registry.h`](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/op_registry.h) - Operator Lookup: [`paddle/framework/op_info.h`](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/op_info.h) - Optimizer: `fluid.optimizer.SGD`. It does the following - - Add backward operators. [[Python](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/fluid/backward.py)] - - Add optimizer operators. [[Python](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/fluid/optimizer.py)] + - Add backward operators. [[Python](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/fluid/backward.py)] + - Add optimizer operators. [[Python](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/fluid/optimizer.py)] # Run Time @@ -57,7 +57,7 @@ exe.run(fluid.default_main_program(), - Place: `place`. one of CPU, GPU or FPGA. [C++](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/platform/place.h) - The device handle are at [paddle/platform/device_context.h](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/platform/device_context.h) -- Executor: `fluid.Executor(place)`. [[Python](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/fluid/executor.py), [C++](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/executor.cc)] +- Executor: `fluid.Executor(place)`. [[Python](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/fluid/executor.py), [C++](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/executor.cc)] - Feeds the data: `feed=feeder.feed(data)` - Evaluates all the operators - Fetches the result: `fetch_list=[avg_cost]` diff --git a/develop/doc_cn/design/concurrent_programming.html b/develop/doc_cn/design/concurrent_programming.html index 3761d2860b9ee7e36c2d7a807acf70fd2e879446..fe7969177daa3184b02795c4555cd7a78bacdc09 100644 --- a/develop/doc_cn/design/concurrent_programming.html +++ b/develop/doc_cn/design/concurrent_programming.html @@ -206,7 +206,7 @@

                                        The following table compares concepts in Fluid and Go

                                        | Go | Fluid | |—-|——-| -|user-defined functions | layers | +|user-defined functions | layers | | control-flow and built-in functions | intrinsics/operators | | goroutines, channels | class ThreadPool | | runtime | class Executor |

                                        diff --git a/develop/doc_cn/design/fluid.html b/develop/doc_cn/design/fluid.html index fdf33fd6a552885978f5f545a87f7eb4ac335505..24ff54b37dc18beac941953c71ba21349e48ffec 100644 --- a/develop/doc_cn/design/fluid.html +++ b/develop/doc_cn/design/fluid.html @@ -274,7 +274,7 @@ h[t] = the_step(input[t])
                                -

                                An actual Fluid example is described here.

                                +

                                An actual Fluid example is described here.

                                From the example, the Fluid programs look very similar to their PyTorch equivalent programs, except that Fluid’s loop structure, wrapped with Python’s with statement, could run much faster than just a Python loop.

                                We have more examples of the if-then-else structure of Fluid.

                                diff --git a/develop/doc_cn/design/memory_optimization.html b/develop/doc_cn/design/memory_optimization.html index 5031e662c54c47d10c17d782e692fcae204a7768..0c4dd1ca1c2c46fa4d2abe69b1b39f1745f01f84 100644 --- a/develop/doc_cn/design/memory_optimization.html +++ b/develop/doc_cn/design/memory_optimization.html @@ -280,7 +280,7 @@ In former control flow graph, the out-edges of node 5 are 5 –> 6 and 5

                                contruct control flow graph

                                -

                                Following is the ProgramDesc protobuf of machine translation example.

                                +

                                Following is the ProgramDesc protobuf of machine translation example.

                                • Block0:
                                diff --git a/develop/doc_cn/howto/optimization/cpu_profiling_cn.html b/develop/doc_cn/howto/optimization/cpu_profiling_cn.html index d00aba07898ebe193e85c1ed4d3c1b02a3fea4d2..1584e30fae00fe5a1ae7a7ac7f637b9e66eb4760 100644 --- a/develop/doc_cn/howto/optimization/cpu_profiling_cn.html +++ b/develop/doc_cn/howto/optimization/cpu_profiling_cn.html @@ -223,7 +223,7 @@

                                用Web浏览器访问对应网址，即可显示性能分析的结果：

                                   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
         1    0.284    0.284   29.514   29.514 main.py:1(<module>)
-     4696    0.128    0.000   15.748    0.003 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/executor.py:20(run)
+     4696    0.128    0.000   15.748    0.003 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/executor.py:20(run)
      4696   12.040    0.003   12.040    0.003 {built-in method run}
         1    0.144    0.144    6.534    6.534 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/__init__.py:14(<module>)
                                @@ -244,9 +244,9 @@

                                将性能分析结果按照tottime排序，效果如下:

                                     4696   12.040    0.003   12.040    0.003 {built-in method run}
    300005    0.874    0.000    1.681    0.000 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/dataset/mnist.py:38(reader)
-   107991    0.676    0.000    1.519    0.000 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/framework.py:219(__init__)
-     4697    0.626    0.000    2.291    0.000 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/framework.py:428(sync_with_cpp)
-        1    0.618    0.618    0.618    0.618 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/__init__.py:1(<module>)
+   107991    0.676    0.000    1.519    0.000 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/framework.py:219(__init__)
+     4697    0.626    0.000    2.291    0.000 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/framework.py:428(sync_with_cpp)
+        1    0.618    0.618    0.618    0.618 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/__init__.py:1(<module>)

                                可以看到最耗时的函数是C++端的run函数。这需要联合我们第二节Python与C++混合代码的性能分析来进行调优。而sync_with_cpp函数的总共耗时很长，每次调用的耗时也很长。于是我们可以点击sync_with_cpp的详细信息，了解其调用关系。

                                @@ -257,9 +257,9 @@ Function was called by... ncalls tottime cumtime -/home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/framework.py:428(sync_with_cpp) <- 4697 0.626 2.291 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/framework.py:562(sync_with_cpp) -/home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/framework.py:562(sync_with_cpp) <- 4696 0.019 2.316 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/framework.py:487(clone) - 1 0.000 0.001 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/v2/fluid/framework.py:534(append_backward) +/home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/framework.py:428(sync_with_cpp) <- 4697 0.626 2.291 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/framework.py:562(sync_with_cpp) +/home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/framework.py:562(sync_with_cpp) <- 4696 0.019 2.316 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/framework.py:487(clone) + 1 0.000 0.001 /home/yuyang/perf_test/.env/lib/python2.7/site-packages/paddle/fluid/framework.py:534(append_backward) Called: diff --git a/develop/doc_cn/howto/read_source.html b/develop/doc_cn/howto/read_source.html index 43470bf2df23830ffd72e7fbf4dddf374bcca979..3ce0049ec47cf84fb9847af0e3bc19a0aefdc0d0 100644 --- a/develop/doc_cn/howto/read_source.html +++ b/develop/doc_cn/howto/read_source.html @@ -198,7 +198,7 @@

                                PaddlePaddle Fluid Source Code Overview

                                -

                                Examples: https://github.com/PaddlePaddle/Paddle/tree/develop/python/paddle/v2/fluid/tests/book

                                +

                                Examples: https://github.com/PaddlePaddle/Paddle/tree/develop/python/paddle/fluid/tests/book

                                Core: https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/framework

                                Operator: https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/operators

                                Memory: https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/memory

                                @@ -219,8 +219,8 @@
                                  -
                                • Variables: x, y, y_predict, cost and avg_cost. Python
                                  • -
                                • Layers: fluid.layers.data, fluid.layers.fc and fluid.layers.mean are layers. Python
                                    +
                                  • Variables: x, y, y_predict, cost and avg_cost. Python
                                    • +
                                  • Layers: fluid.layers.data, fluid.layers.fc and fluid.layers.mean are layers. Python
                                    • -
                                  • Executor: fluid.Executor(place). [Python, C++]
                                      +
                                    • Executor: fluid.Executor(place). [Python, C++]
                                      • Feeds the data: feed=feeder.feed(data)
                                      • Evaluates all the operators
                                      • Fetches the result: fetch_list=[avg_cost]