From d050360a748090bf5d5e3886dedef22b80506b39 Mon Sep 17 00:00:00 2001
From: dzhwinter <dongzhihong01@baidu.com>
Date: Thu, 7 Jun 2018 10:24:37 +0800
Subject: [PATCH] "reduce test input data size to accelerate ci" (#10831)

---
 .../fluid/tests/unittests/test_mul_op.py      | 41 +++++++++++--------
 1 file changed, 23 insertions(+), 18 deletions(-)

diff --git a/python/paddle/fluid/tests/unittests/test_mul_op.py b/python/paddle/fluid/tests/unittests/test_mul_op.py
index 862b7f8cb93..bbc782c1bce 100644
--- a/python/paddle/fluid/tests/unittests/test_mul_op.py
+++ b/python/paddle/fluid/tests/unittests/test_mul_op.py
@@ -22,8 +22,8 @@ class TestMulOp(OpTest):
     def setUp(self):
         self.op_type = "mul"
         self.inputs = {
-            'X': np.random.random((32, 84)).astype("float32"),
-            'Y': np.random.random((84, 100)).astype("float32")
+            'X': np.random.random((2, 5)).astype("float32"),
+            'Y': np.random.random((5, 3)).astype("float32")
         }
         self.outputs = {'Out': np.dot(self.inputs['X'], self.inputs['Y'])}
 
@@ -46,13 +46,16 @@ class TestMulOp2(OpTest):
     def setUp(self):
         self.op_type = "mul"
         self.inputs = {
-            'X': np.random.random((15, 4, 12, 10)).astype("float32"),
-            'Y': np.random.random((4, 30, 8, 2, 9)).astype("float32")
+            'X': np.random.random((3, 4, 4, 3)).astype("float32"),
+            'Y': np.random.random((2, 6, 1, 2, 3)).astype("float32")
         }
-        self.attrs = {'x_num_col_dims': 2, 'y_num_col_dims': 2}
-        result = np.dot(self.inputs['X'].reshape(15 * 4, 12 * 10),
-                        self.inputs['Y'].reshape(4 * 30, 8 * 2 * 9))
-        result = result.reshape(15, 4, 8, 2, 9)
+        self.attrs = {
+            'x_num_col_dims': 2,
+            'y_num_col_dims': 2,
+        }
+        result = np.dot(self.inputs['X'].reshape(3 * 4, 4 * 3),
+                        self.inputs['Y'].reshape(2 * 6, 1 * 2 * 3))
+        result = result.reshape(3, 4, 1, 2, 3)
         self.outputs = {'Out': result}
 
     def test_check_output(self):
@@ -73,9 +76,9 @@ class TestMulOp2(OpTest):
 class TestFP16MulOp1(OpTest):
     def setUp(self):
         self.op_type = "mul"
-        x = np.random.random((32, 84)).astype("float16")
-        y = np.random.random((84, 100)).astype("float16")
-        self.inputs = {'X': x.view(np.uint16), 'Y': y.view(np.uint16)}
+        x = np.random.random((3, 5)).astype("float16")
+        y = np.random.random((5, 4)).astype("float16")
+        self.inputs = {'X': x.view(np.float16), 'Y': y.view(np.float16)}
         self.outputs = {'Out': np.dot(x, y)}
 
     def test_check_output(self):
@@ -88,13 +91,15 @@ class TestFP16MulOp1(OpTest):
 class TestFP16MulOp2(OpTest):
     def setUp(self):
         self.op_type = "mul"
-        x = np.random.random((15, 4, 12, 10)).astype("float16")
-        y = np.random.random((4, 30, 8, 2, 9)).astype("float16")
-        self.inputs = {'X': x.view(np.uint16), 'Y': y.view(np.uint16)}
-        self.attrs = {'x_num_col_dims': 2, 'y_num_col_dims': 2}
-        result = np.dot(
-            x.reshape(15 * 4, 12 * 10), y.reshape(4 * 30, 8 * 2 * 9))
-        result = result.reshape(15, 4, 8, 2, 9)
+        x = np.random.random((3, 4, 4, 3)).astype("float16")
+        y = np.random.random((2, 6, 1, 2, 3)).astype("float16")
+        self.inputs = {'X': x.view(np.float16), 'Y': y.view(np.float16)}
+        self.attrs = {
+            'x_num_col_dims': 2,
+            'y_num_col_dims': 2,
+        }
+        result = np.dot(x.reshape(3 * 4, 4 * 3), y.reshape(2 * 6, 1 * 2 * 3))
+        result = result.reshape(3, 4, 1, 2, 3)
         self.outputs = {'Out': result}
 
     def test_check_output(self):
-- 
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