delete unnecessary files

.idea/deployment.xml

@@ -1,15 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="PublishConfigData" autoUpload="Always" serverName="zyfeng@10.40.40.86:22">
-    <serverData>
-      <paths name="zyfeng@10.40.40.86:22">
-        <serverdata>
-          <mappings>
-            <mapping deploy="/home/zyfeng/Desktop/fastNLP" local="$PROJECT_DIR$" />
-          </mappings>
-        </serverdata>
-      </paths>
-    </serverData>
-    <option name="myAutoUpload" value="ALWAYS" />
-  </component>
-</project>

.idea/fastNLP.iml

@@ -1,14 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<module type="PYTHON_MODULE" version="4">
-  <component name="NewModuleRootManager">
-    <content url="file://$MODULE_DIR$" />
-    <orderEntry type="jdk" jdkName="Remote Python 3.6.6 (sftp://zyfeng@10.40.40.86:22/home/zyfeng/miniconda3/envs/fastnlp/bin/python3.6)" jdkType="Python SDK" />
-    <orderEntry type="sourceFolder" forTests="false" />
-  </component>
-  <component name="PyDocumentationSettings">
-    <option name="renderExternalDocumentation" value="true" />
-  </component>
-  <component name="TestRunnerService">
-    <option name="PROJECT_TEST_RUNNER" value="Unittests" />
-  </component>
-</module>

.idea/inspectionProfiles/Project_Default.xml

@@ -1,16 +0,0 @@
-<component name="InspectionProjectProfileManager">
-  <profile version="1.0">
-    <option name="myName" value="Project Default" />
-    <inspection_tool class="PyPackageRequirementsInspection" enabled="true" level="WARNING" enabled_by_default="true">
-      <option name="ignoredPackages">
-        <value>
-          <list size="3">
-            <item index="0" class="java.lang.String" itemvalue="torch" />
-            <item index="1" class="java.lang.String" itemvalue="numpy" />
-            <item index="2" class="java.lang.String" itemvalue="torchvision" />
-          </list>
-        </value>
-      </option>
-    </inspection_tool>
-  </profile>
-</component>

.idea/misc.xml

@@ -1,7 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="JavaScriptSettings">
-    <option name="languageLevel" value="ES6" />
-  </component>
-  <component name="ProjectRootManager" version="2" project-jdk-name="Remote Python 3.6.6 (sftp://zyfeng@10.40.40.86:22/home/zyfeng/miniconda3/envs/fastnlp/bin/python3.6)" project-jdk-type="Python SDK" />
-</project>

.idea/modules.xml

@@ -1,8 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="ProjectModuleManager">
-    <modules>
-      <module fileurl="file://$PROJECT_DIR$/.idea/fastNLP.iml" filepath="$PROJECT_DIR$/.idea/fastNLP.iml" />
-    </modules>
-  </component>
-</project>

.idea/other.xml

@@ -1,7 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="PySciProjectComponent">
-    <option name="PY_SCI_VIEW" value="true" />
-    <option name="PY_SCI_VIEW_SUGGESTED" value="true" />
-  </component>
-</project>

.idea/vcs.xml

@@ -1,6 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="VcsDirectoryMappings">
-    <mapping directory="$PROJECT_DIR$" vcs="Git" />
-  </component>
-</project>

fastNLP/action/tester.py

@@ -158,8 +158,8 @@ class POSTester(BaseTester):
     def evaluate(self, predict, truth):
         truth = torch.Tensor(truth)
         loss, prediction = self.model.loss(predict, truth, self.mask, self.batch_size, self.max_len)
-        results = torch.Tensor(prediction[0][0]).view((-1, ))
-        accuracy = float(torch.sum(results == truth.view((-1, )))) / results.shape[0]
+        results = torch.Tensor(prediction[0][0]).view((-1,))
+        accuracy = float(torch.sum(results == truth.view((-1,)))) / results.shape[0]
         return [loss.data, accuracy]
 
     def matrices(self):
@@ -174,5 +174,3 @@ class POSTester(BaseTester):
         """
         loss, accuracy = self.matrices()
         return "dev loss={:.2f}, accuracy={:.2f}".format(loss, accuracy)
-
-

fastNLP/modules/other_modules.py

@@ -2,16 +2,17 @@
 This is borrowed from FudanParser. Not stable. Do not use !!!
 
 """
+import numpy
 import numpy as np
+import torch
 import torch.nn as nn
 import torch.nn.functional as F
-from torch.nn import Parameter
-from .utils import orthogonal
-import torch
 import torch.utils.data
-import numpy
-from torch.autograd import Function, Variable
 from torch import optim
+from torch.autograd import Function, Variable
+from torch.nn import Parameter
+
+from .utils import orthogonal
 
 
 class GroupNorm(nn.Module):

test/test_POS_pipeline.py

@@ -53,7 +53,7 @@ if __name__ == "__main__":
     test_args = ConfigSection()
     ConfigLoader("config.cfg", "").load_config("./data_for_tests/config", {"POS_test": test_args})
 
-    #test_args = {"save_output": True, "validate_in_training": False, "save_dev_input": False,
+    # test_args = {"save_output": True, "validate_in_training": False, "save_dev_input": False,
     #             "save_loss": True, "batch_size": 1, "pickle_path": pickle_path}
     tester = POSTester(test_args)
     tester.test(model)