Reupload: Added numpy bf16 datatype support via custom pip package (#38703)

* reuploaded files

* Changed year from 2021 to 2022

* minor change

* fixed requirements.txt file

python/paddle/fluid/tests/unittests/test_python_bf16_numpy_datatype.py

+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+# 
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+# 
+#     http://www.apache.org/licenses/LICENSE-2.0
+# 
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import numpy as np
+from paddle_bfloat import bfloat16
+import unittest
+
+
+class TestBF16DataType(unittest.TestCase):
+    def test_matmul(self):
+        a_bf16 = np.random.random((6, 7)).astype(bfloat16)
+        b_bf16 = np.random.random((7, 8)).astype(bfloat16)
+        c_bf16 = np.matmul(a_bf16, b_bf16)
+
+        a_fp32 = a_bf16.astype(np.float32)
+        b_fp32 = b_bf16.astype(np.float32)
+        c_fp32 = np.matmul(a_fp32, b_fp32)
+
+        self.assertTrue(np.allclose(c_bf16, c_fp32))
+
+
+if __name__ == "__main__":
+    unittest.main()

python/requirements.txt

@@ -5,3 +5,4 @@ Pillow
 six
 decorator
 astor
+paddle_bfloat==0.1.2