chore: import upstream snapshot with attribution

test/dygraph_to_static/test_tensor_methods.py

@@ -0,0 +1,160 @@
+#   Copyright (c) 2021 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 unittest
+
+import numpy as np
+from dygraph_to_static_utils import (
+    Dy2StTestBase,
+    enable_to_static_guard,
+    test_ast_only,
+)
+
+import paddle
+
+
+def tensor_clone(x):
+    x = paddle.to_tensor(x)
+    y = x.clone()
+    return y
+
+
+class TestTensorClone(Dy2StTestBase):
+    def _run(self):
+        x = paddle.ones([1, 2, 3])
+        return paddle.jit.to_static(tensor_clone)(x).numpy()
+
+    def test_tensor_clone(self):
+        with enable_to_static_guard(False):
+            dygraph_res = self._run()
+
+        static_res = self._run()
+        np.testing.assert_allclose(dygraph_res, static_res, rtol=1e-05)
+
+
+def tensor_numpy(x):
+    x = paddle.to_tensor(x)
+    x.clear_gradient()
+    return x
+
+
+class TestTensorDygraphOnlyMethodError(Dy2StTestBase):
+    def _run(self):
+        x = paddle.zeros([2, 2])
+        y = paddle.jit.to_static(tensor_numpy)(x)
+        return y.numpy()
+
+    @test_ast_only
+    def test_to_static_numpy_report_error(self):
+        with enable_to_static_guard(False):
+            dygraph_res = self._run()
+
+        with self.assertRaises(AssertionError):
+            static_res = self._run()
+
+
+def tensor_item(x):
+    x = paddle.to_tensor(x)
+    y = x.clone()
+    return y.item()
+
+
+class TestTensorItem(Dy2StTestBase):
+    def _run(self):
+        x = paddle.ones([1])
+        return paddle.jit.to_static(tensor_item)(x)
+
+    def test_tensor_clone(self):
+        with enable_to_static_guard(False):
+            dygraph_res = self._run()
+
+        static_res = self._run()
+        np.testing.assert_allclose(dygraph_res, static_res)
+
+
+def tensor_size(x):
+    x = paddle.to_tensor(x)
+    x = paddle.reshape(x, paddle.shape(x))  # dynamic shape
+    y = x.size
+    return y
+
+
+class TestTensorSize(Dy2StTestBase):
+    def _run(self, to_static):
+        x = paddle.ones([1, 2, 3])
+        if not to_static:
+            return tensor_size(x)
+        ret = paddle.jit.to_static(tensor_size)(x)
+        if hasattr(ret, 'numpy'):
+            ret = ret.numpy()
+        return ret
+
+    def test_tensor_size(self):
+        dygraph_res = self._run(to_static=False)
+        static_res = self._run(to_static=True)
+        np.testing.assert_allclose(dygraph_res, static_res, rtol=1e-5)
+
+
+def true_div(x, y):
+    z = x / y
+    return z
+
+
+class TestTrueDiv(Dy2StTestBase):
+    def _run(self):
+        x = paddle.to_tensor([3], dtype='int64')
+        y = paddle.to_tensor([4], dtype='int64')
+        return paddle.jit.to_static(true_div)(x, y).numpy()
+
+    def test_true_div(self):
+        with enable_to_static_guard(False):
+            dygraph_res = self._run()
+        static_res = self._run()
+        np.testing.assert_allclose(dygraph_res, static_res, rtol=1e-5)
+
+
+def tensor_stride_no_dim(x):
+    x = paddle.to_tensor(x)
+    return x.stride()
+
+
+def tensor_stride_with_dim(x):
+    x = paddle.to_tensor(x)
+    return x.stride(0)
+
+
+def tensor_stride_negative_dim(x):
+    x = paddle.to_tensor(x)
+    return x.stride(-1)
+
+
+class TestTensorStride(Dy2StTestBase):
+    def _assert_dy2st_equal(self, fn):
+        x = paddle.ones([2, 3, 4])
+        dygraph_res = fn(x)
+        static_res = paddle.jit.to_static(fn)(x)
+        np.testing.assert_allclose(dygraph_res, static_res, rtol=1e-5)
+
+    def test_tensor_stride_no_dim(self):
+        self._assert_dy2st_equal(tensor_stride_no_dim)
+
+    def test_tensor_stride_with_dim(self):
+        self._assert_dy2st_equal(tensor_stride_with_dim)
+
+    def test_tensor_stride_negative_dim(self):
+        self._assert_dy2st_equal(tensor_stride_negative_dim)
+
+
+if __name__ == '__main__':
+    unittest.main()