From cbc75810a94facc8c37f1fc41c5a0344e5914808 Mon Sep 17 00:00:00 2001
From: TFBunny <shuo.jia@huawei.com>
Date: Mon, 22 Feb 2021 17:19:11 -0500
Subject: [PATCH] add testcases to DType dynamic shape

---
 tests/st/ops/gpu/test_dtype_op.py | 200 ++++++++++++++++++++++++++++++
 1 file changed, 200 insertions(+)
 create mode 100644 tests/st/ops/gpu/test_dtype_op.py

diff --git a/tests/st/ops/gpu/test_dtype_op.py b/tests/st/ops/gpu/test_dtype_op.py
new file mode 100644
index 00000000000..5a6f48792b2
--- /dev/null
+++ b/tests/st/ops/gpu/test_dtype_op.py
@@ -0,0 +1,200 @@
+# Copyright 2021 Huawei Technologies Co., Ltd
+#
+# 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
+import pytest
+
+import mindspore as ms
+from mindspore import Tensor
+from mindspore.ops import operations as P
+from mindspore.ops.operations import _inner_ops as inner
+import mindspore.nn as nn
+import mindspore.context as context
+
+
+class DTypeNet(nn.Cell):
+    def __init__(self):
+        super(DTypeNet, self).__init__()
+        self.dtype = P.DType()
+
+    def construct(self, x):
+        return self.dtype(x)
+
+
+class DTypeDynamicNet(nn.Cell):
+    def __init__(self):
+        super(DTypeDynamicNet, self).__init__()
+        self.d = inner.GpuConvertToDynamicShape()
+        self.dtype = P.DType()
+
+    def construct(self, x):
+        x = self.d(x)
+        return self.dtype(x)
+
+
+def dtype_with_testcase(mstype):
+    context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU")
+    x = Tensor(np.arange(34).reshape(2, 17), dtype=mstype)
+    net = DTypeNet()
+    assert mstype == net(x)
+    context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
+    assert mstype == net(x)
+
+
+def dtype_dynamic_with_testcase(mstype):
+    context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
+    x = Tensor(np.arange(34).reshape(2, 17), dtype=mstype)
+    net = DTypeDynamicNet()
+    assert mstype == net(x)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dtype_bool():
+    dtype_with_testcase(ms.bool_)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dtype_int8():
+    dtype_with_testcase(ms.int8)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dtype_uint8():
+    dtype_with_testcase(ms.uint8)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dtype_int16():
+    dtype_with_testcase(ms.int16)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dtype_uint16():
+    dtype_with_testcase(ms.uint16)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dtype_int32():
+    dtype_with_testcase(ms.int32)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dtype_int64():
+    dtype_with_testcase(ms.int64)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dtype_float16():
+    dtype_with_testcase(ms.float16)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dtype_float32():
+    dtype_with_testcase(ms.float32)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dtype_float64():
+    dtype_with_testcase(ms.float64)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dynamic_dtype_bool():
+    dtype_dynamic_with_testcase(ms.bool_)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dynamic_dtype_int8():
+    dtype_dynamic_with_testcase(ms.int8)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dynamic_dtype_uint8():
+    dtype_dynamic_with_testcase(ms.uint8)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dynamic_dtype_int16():
+    dtype_dynamic_with_testcase(ms.int16)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dynamic_dtype_uint16():
+    dtype_dynamic_with_testcase(ms.uint16)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dynamic_dtype_int32():
+    dtype_dynamic_with_testcase(ms.int32)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dynamic_dtype_int64():
+    dtype_dynamic_with_testcase(ms.int64)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dynamic_dtype_float16():
+    dtype_dynamic_with_testcase(ms.float16)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dynamic_dtype_float32():
+    dtype_dynamic_with_testcase(ms.float32)
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_dynamic_dtype_float64():
+    dtype_dynamic_with_testcase(ms.float64)