From 1f7f8561fcece3050166e07719228fa5dd8c2256 Mon Sep 17 00:00:00 2001
From: QingshuChen <chenqingshu@baidu.com>
Date: Thu, 17 Feb 2022 15:27:23 +0800
Subject: [PATCH] update kunlun label_smooth unitest (#39611)

* update kunlun label_smooth unitest
*test=kunlun

* minor
*test=kunlun
---
 .../unittests/xpu/test_label_smooth_op_xpu.py | 79 ++++++++++++-------
 tools/check_file_diff_approvals.sh            |  4 +-
 2 files changed, 52 insertions(+), 31 deletions(-)

diff --git a/python/paddle/fluid/tests/unittests/xpu/test_label_smooth_op_xpu.py b/python/paddle/fluid/tests/unittests/xpu/test_label_smooth_op_xpu.py
index 5a827c1beb2..afe1662ce5c 100644
--- a/python/paddle/fluid/tests/unittests/xpu/test_label_smooth_op_xpu.py
+++ b/python/paddle/fluid/tests/unittests/xpu/test_label_smooth_op_xpu.py
@@ -20,45 +20,66 @@ import numpy as np
 import sys
 sys.path.append("..")
 from op_test_xpu import XPUOpTest
+from xpu.get_test_cover_info import create_test_class, get_xpu_op_support_types, XPUOpTestWrapper
 
 paddle.enable_static()
 
 
-class TestLabelSmoothOp(XPUOpTest):
-    def config(self):
-        self.op_type = "label_smooth"
-        self.epsilon = 0.1
-        self.use_xpu = True
-        batch_size, self.label_dim = 10, 12
-        self.label = np.zeros((batch_size, self.label_dim)).astype("float32")
-        nonzero_index = np.random.randint(self.label_dim, size=(batch_size))
-        self.label[np.arange(batch_size), nonzero_index] = 1
+class XPUTestLabelSmoothOp(XPUOpTestWrapper):
+    def __init__(self):
+        self.op_name = 'label_smooth'
+        self.use_dynamic_create_class = True
 
-    def setUp(self):
-        self.config()
-        smoothed_label = (1 - self.epsilon
-                          ) * self.label + self.epsilon / self.label_dim
-        self.inputs = {'X': self.label}
-        self.attrs = {'epsilon': self.epsilon}
-        self.outputs = {'Out': smoothed_label}
+    def dynamic_create_class(self):
+        base_class = self.TestLabelSmoothOp
+        classes = []
+        batch_sizes = [1, 5, 1024]
+        label_dims = [1, 7, 12]
+        for bs in batch_sizes:
+            for label_dim in label_dims:
+                class_name = 'XPUTestLabelSmooth_' + \
+                       str(bs) + "_" + str(label_dim)
+                attr_dict = {'batch_size': bs, 'label_dim': label_dim}
+                classes.append([class_name, attr_dict])
+        classes.append(['XPUTestLabelSmooth_3d', {'is_3d': True}])
+        return base_class, classes
 
-    def test_check_output(self):
-        if not paddle.is_compiled_with_xpu():
-            return
-        self.check_output_with_place(paddle.XPUPlace(0), atol=1e-6)
+    class TestLabelSmoothOp(XPUOpTest):
+        def setUp(self):
+            self.op_type = "label_smooth"
+            self.epsilon = 0.1
+            self.use_xpu = True
+            if not hasattr(self, 'batch_size'):
+                self.batch_size = 10
+                self.label_dim = 12
+            self.label = np.zeros(
+                (self.batch_size, self.label_dim)).astype("float32")
+            nonzero_index = np.random.randint(
+                self.label_dim, size=(self.batch_size))
+            self.label[np.arange(self.batch_size), nonzero_index] = 1
+            smoothed_label = (1 - self.epsilon
+                              ) * self.label + self.epsilon / self.label_dim
+            self.inputs = {'X': self.label}
+            self.attrs = {'epsilon': self.epsilon}
+            self.outputs = {'Out': smoothed_label}
+            if hasattr(self, 'is_3d') and self.is_3d:
+                self.inputs['X'] = self.inputs['X'].reshape(
+                    [2, -1, self.inputs['X'].shape[-1]])
+                self.outputs['Out'] = self.outputs['Out'].reshape(self.inputs[
+                    'X'].shape)
 
-    def test_check_grad(self):
-        return
+        def test_check_output(self):
+            if not paddle.is_compiled_with_xpu():
+                return
+            self.check_output_with_place(paddle.XPUPlace(0), atol=1e-6)
 
+        def test_check_grad(self):
+            return
 
-class TestLabelSmoothOp3D(TestLabelSmoothOp):
-    def setUp(self):
-        super(TestLabelSmoothOp3D, self).setUp()
-        self.inputs['X'] = self.inputs['X'].reshape(
-            [2, -1, self.inputs['X'].shape[-1]])
-        self.outputs['Out'] = self.outputs['Out'].reshape(self.inputs['X']
-                                                          .shape)
 
+support_types = get_xpu_op_support_types('label_smooth')
+for stype in support_types:
+    create_test_class(globals(), XPUTestLabelSmoothOp, stype)
 
 if __name__ == '__main__':
     unittest.main()
diff --git a/tools/check_file_diff_approvals.sh b/tools/check_file_diff_approvals.sh
index a36f173454f..f9826da20ce 100644
--- a/tools/check_file_diff_approvals.sh
+++ b/tools/check_file_diff_approvals.sh
@@ -213,8 +213,8 @@ fi
 NO_NPU_FILE=`git diff --name-only upstream/$BRANCH | grep -v "_npu.py"`
 HAS_UNITTEST_SKIP=`git diff -U0 upstream/$BRANCH ${NO_NPU_FILE} | grep "^+[[:space:]]\{0,\}@unittest.skip" || true`
 if [ "${HAS_UNITTEST_SKIP}" != "" ] && [ "${GIT_PR_ID}" != "" ]; then
-    echo_line="Unittest is not allowed to be disabled.\nYou must have one RD (kolinwei(Recommend), wanghuancoder, luotao1 or qili93) approval for the usage of @unittest.skip or @unittest.skipIf.\n${HAS_UNITTEST_SKIP}\n"
-    check_approval 1 22165420 6836917 46661762 26922892 16605440
+    echo_line="Unittest is not allowed to be disabled.\nYou must have one RD (kolinwei(Recommend), wanghuancoder, luotao1, QingshuChen or qili93) approval for the usage of @unittest.skip or @unittest.skipIf.\n${HAS_UNITTEST_SKIP}\n"
+    check_approval 1 22165420 6836917 46661762 26922892 16605440 2002279
   fi
 
 HAS_MODIFIED_DEMO_CMAKE=`git diff --name-only upstream/$BRANCH | grep "paddle/fluid/inference/api/demo_ci/CMakeLists.txt" || true`
-- 
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