Add sequence exampleAdd sequence exampleAdd sequence exampleAdd sequence

exampleAdd sequence exampleAdd sequence exampleAdd sequence exampleAdd
sequence exampleAdd sequence example

paddle/capi/examples/sequence/.gitignore

+# This file is used to ignore files which are generated
+# ----------------------------------------------------------------------------
+
+*~
+*.autosave
+*.a
+*.core
+*.moc
+*.o
+*.obj
+*.orig
+*.rej
+*.so
+*.so.*
+*_pch.h.cpp
+*_resource.rc
+*.qm
+.#*
+*.*#
+core
+!core/
+tags
+.DS_Store
+.directory
+*.debug
+Makefile*
+*.prl
+*.app
+moc_*.cpp
+ui_*.h
+qrc_*.cpp
+Thumbs.db
+*.res
+*.rc
+/.qmake.cache
+/.qmake.stash
+
+# qtcreator generated files
+*.pro.user*
+
+# xemacs temporary files
+*.flc
+
+# Vim temporary files
+.*.swp
+
+# Visual Studio generated files
+*.ib_pdb_index
+*.idb
+*.ilk
+*.pdb
+*.sln
+*.suo
+*.vcproj
+*vcproj.*.*.user
+*.ncb
+*.sdf
+*.opensdf
+*.vcxproj
+*vcxproj.*
+
+# MinGW generated files
+*.Debug
+*.Release
+
+# Python byte code
+*.pyc
+
+# Binaries
+# --------
+*.dll
+*.exe
+

paddle/capi/examples/sequence/CMakeLists.txt

+project(sequence)
+cmake_minimum_required(VERSION 2.8)
+aux_source_directory(. SRC_LIST)
+add_executable(${PROJECT_NAME} ${SRC_LIST})
+set_property(TARGET ${PROJECT_NAME} PROPERTY C_STANDARD 99)
+target_link_libraries(${PROJECT_NAME} -lpaddle_capi_shared)

paddle/capi/examples/sequence/convert_protobin.sh

+../dense/convert_protobin.sh
\ No newline at end of file

paddle/capi/examples/sequence/main.c

+#include <paddle/capi.h>
+#include <time.h>
+#include "../common/common.h"
+
+#define CONFIG_BIN "./trainer_config.bin"
+
+int main() {
+  // Initalize Paddle
+  char* argv[] = {"--use_gpu=False"};
+  CHECK(paddle_init(1, (char**)argv));
+
+  // Reading config binary file. It is generated by `convert_protobin.sh`
+  long size;
+  void* buf = read_config(CONFIG_BIN, &size);
+
+  // Create a gradient machine for inference.
+  paddle_gradient_machine machine;
+  CHECK(paddle_gradient_machine_create_for_inference(&machine, buf, (int)size));
+  CHECK(paddle_gradient_machine_randomize_param(machine));
+
+  // Loading parameter. Uncomment the following line and change the directory.
+  // CHECK(paddle_gradient_machine_load_parameter_from_disk(machine,
+  //                                                "./some_where_to_params"));
+  paddle_arguments in_args = paddle_arguments_create_none();
+
+  // There is only one input of this network.
+  CHECK(paddle_arguments_resize(in_args, 1));
+
+  // Create input ids.
+  int sentence_ids[] = {83, 48, 20, 84, 394, 853, 64, 53, 64};
+
+  paddle_ivector sentence = paddle_ivector_create(
+      sentence_ids, sizeof(sentence_ids) / sizeof(int), false, false);
+  CHECK(paddle_arguments_set_ids(in_args, 0, sentence));
+
+  int seq_pos_array[] = {0, sizeof(sentence_ids) / sizeof(int)};
+
+  paddle_ivector seq_pos = paddle_ivector_create(
+      seq_pos_array, sizeof(seq_pos_array) / sizeof(int), false, false);
+
+  CHECK(paddle_arguments_set_sequence_start_pos(in_args, 0, 0, seq_pos));
+
+  paddle_arguments out_args = paddle_arguments_create_none();
+  CHECK(paddle_gradient_machine_forward(machine,
+                                        in_args,
+                                        out_args,
+                                        /* isTrain */ false));
+  paddle_matrix prob = paddle_matrix_create_none();
+
+  CHECK(paddle_arguments_value(out_args, 0, prob));
+
+  paddle_real* array;
+
+  CHECK(paddle_matrix_get_row(prob, 0, &array));
+
+  printf("Prob: ");
+  for (int i = 0; i < 2; ++i) {
+    printf("%.2f ", array[i]);
+  }
+  printf("\n");
+
+  return 0;
+}

paddle/capi/examples/sequence/trainer_config.py

+from paddle.trainer_config_helpers import *
+
+WORD_DIM = 3000
+
+sentence = data_layer(name='sentence', size=WORD_DIM)
+sentence_embedding = embedding_layer(
+    input=sentence,
+    size=64,
+    param_attr=ParameterAttribute(
+        initial_max=1.0, initial_min=0.5))
+lstm = simple_lstm(input=sentence_embedding, size=64)
+lstm_last = last_seq(input=lstm)
+outputs(fc_layer(input=lstm_last, size=2, act=SoftmaxActivation()))