forked from mindspore-Ecosystem/mindspore
250 lines
7.6 KiB
Python
250 lines
7.6 KiB
Python
# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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"""multitype_ops directory test case"""
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import numpy as np
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from functools import partial, reduce
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import mindspore.nn as nn
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from mindspore import Tensor
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from mindspore import dtype as mstype
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from mindspore.ops import functional as F, composite as C
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import mindspore.context as context
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import pytest
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class TensorIntAutoCast(nn.Cell):
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def __init__(self, ):
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super(TensorIntAutoCast, self).__init__()
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self.i = 2
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def construct(self, t):
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z = F.tensor_mul(t, self.i)
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return z
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class TensorFPAutoCast(nn.Cell):
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def __init__(self, ):
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super(TensorFPAutoCast, self).__init__()
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self.f = 1.2
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def construct(self, t):
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z = F.tensor_mul(t, self.f)
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return z
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class TensorBoolAutoCast(nn.Cell):
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def __init__(self, ):
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super(TensorBoolAutoCast, self).__init__()
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self.f = True
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def construct(self, t):
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z = F.tensor_mul(t, self.f)
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return z
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class TensorAutoCast(nn.Cell):
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def __init__(self, ):
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super(TensorAutoCast, self).__init__()
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def construct(self, t1, t2):
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z = F.tensor_mul(t1, t2)
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return z
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def test_tensor_auto_cast():
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context.set_context(mode=context.GRAPH_MODE)
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t0 = Tensor([True, False], mstype.bool_)
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t_uint8 = Tensor(np.ones([2, 1, 2, 2]), mstype.uint8)
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t_int8 = Tensor(np.ones([2, 1, 2, 2]), mstype.int8)
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t_int16 = Tensor(np.ones([2, 1, 2, 2]), mstype.int16)
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t_int32 = Tensor(np.ones([2, 1, 2, 2]), mstype.int32)
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t_int64 = Tensor(np.ones([2, 1, 2, 2]), mstype.int64)
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t_fp16 = Tensor(np.ones([2, 1, 2, 2]), mstype.float16)
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t_fp32 = Tensor(np.ones([2, 1, 2, 2]), mstype.float32)
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t_fp64 = Tensor(np.ones([2, 1, 2, 2]), mstype.float64)
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net = TensorAutoCast()
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rs = net(t_uint8, t_int8)
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assert rs.dtype() == mstype.int16
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rs = net(t_uint8, t_int16)
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assert rs.dtype() == mstype.int16
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rs = net(t_uint8, t_int32)
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assert rs.dtype() == mstype.int32
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rs = net(t_uint8, t_int64)
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assert rs.dtype() == mstype.int64
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rs = net(t_int8, t_int16)
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assert rs.dtype() == mstype.int16
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rs = net(t_int8, t_int32)
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assert rs.dtype() == mstype.int32
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rs = net(t_int8, t_int64)
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assert rs.dtype() == mstype.int64
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rs = net(t_int16, t_int32)
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assert rs.dtype() == mstype.int32
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rs = net(t_int16, t_int64)
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assert rs.dtype() == mstype.int64
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rs = net(t_int32, t_int64)
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assert rs.dtype() == mstype.int64
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rs = net(t_fp16, t_fp32)
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assert rs.dtype() == mstype.float32
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rs = net(t_fp16, t_fp64)
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assert rs.dtype() == mstype.float64
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rs = net(t_fp32, t_fp64)
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assert rs.dtype() == mstype.float64
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rs = net(t_uint8, t_fp16)
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assert rs.dtype() == mstype.float16
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rs = net(t_uint8, t_fp32)
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assert rs.dtype() == mstype.float32
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rs = net(t_uint8, t_fp64)
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assert rs.dtype() == mstype.float64
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rs = net(t_int8, t_fp64)
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assert rs.dtype() == mstype.float64
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rs = net(t_int16, t_fp64)
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assert rs.dtype() == mstype.float64
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rs = net(t_int32, t_fp64)
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assert rs.dtype() == mstype.float64
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rs = net(t_int64, t_fp64)
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assert rs.dtype() == mstype.float64
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rs = net(t_fp16, t_int8)
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assert rs.dtype() == mstype.float16
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rs = net(t_fp16, t_uint8)
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assert rs.dtype() == mstype.float16
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rs = net(t_fp16, t_int16)
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assert rs.dtype() == mstype.float16
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rs = net(t_fp16, t_int32)
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assert rs.dtype() == mstype.float16
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rs = net(t_fp16, t_int64)
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assert rs.dtype() == mstype.float16
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tint = TensorIntAutoCast()
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rs = tint(t_uint8)
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assert rs.dtype() == mstype.uint8
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rs = tint(t_int8)
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assert rs.dtype() == mstype.int8
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rs = tint(t_int16)
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assert rs.dtype() == mstype.int16
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rs = tint(t_int32)
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assert rs.dtype() == mstype.int32
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rs = tint(t_int64)
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assert rs.dtype() == mstype.int64
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rs = tint(t_fp16)
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assert rs.dtype() == mstype.float16
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rs = tint(t_fp32)
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assert rs.dtype() == mstype.float32
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rs = tint(t_fp64)
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assert rs.dtype() == mstype.float64
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tfp = TensorFPAutoCast()
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rs = tfp(t_uint8)
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assert rs.dtype() == mstype.float32
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rs = tfp(t_int8)
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assert rs.dtype() == mstype.float32
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rs = tfp(t_int16)
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assert rs.dtype() == mstype.float32
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rs = tfp(t_int32)
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assert rs.dtype() == mstype.float32
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rs = tfp(t_int64)
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assert rs.dtype() == mstype.float32
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rs = tfp(t_fp16)
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assert rs.dtype() == mstype.float32
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rs = tfp(t_fp32)
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assert rs.dtype() == mstype.float32
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rs = tfp(t_fp64)
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assert rs.dtype() == mstype.float64
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t_uint16 = Tensor(np.ones([2, 1, 2, 2]), mstype.uint16)
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t_uint32 = Tensor(np.ones([2, 1, 2, 2]), mstype.uint32)
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t_uint64 = Tensor(np.ones([2, 1, 2, 2]), mstype.uint64)
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with pytest.raises(TypeError):
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net(t_uint16, t_uint8)
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with pytest.raises(TypeError):
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net(t_uint16, t_int8)
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with pytest.raises(TypeError):
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net(t_uint16, t_int16)
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with pytest.raises(TypeError):
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net(t_uint16, t_int32)
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with pytest.raises(TypeError):
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net(t_uint16, t_int64)
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with pytest.raises(TypeError):
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net(t_uint32, t_uint8)
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with pytest.raises(TypeError):
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net(t_uint32, t_int8)
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with pytest.raises(TypeError):
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net(t_uint32, t_int16)
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with pytest.raises(TypeError):
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net(t_uint32, t_int32)
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with pytest.raises(TypeError):
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net(t_uint32, t_int64)
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with pytest.raises(TypeError):
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net(t_uint64, t_uint8)
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with pytest.raises(TypeError):
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net(t_uint64, t_int8)
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with pytest.raises(TypeError):
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net(t_uint64, t_int16)
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with pytest.raises(TypeError):
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net(t_uint64, t_int32)
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with pytest.raises(TypeError):
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net(t_uint64, t_int64)
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with pytest.raises(TypeError):
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net(t_uint16, t_fp16)
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with pytest.raises(TypeError):
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net(t_uint16, t_fp32)
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with pytest.raises(TypeError):
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net(t_uint16, t_fp64)
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with pytest.raises(TypeError):
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net(t_uint32, t_fp16)
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with pytest.raises(TypeError):
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net(t_uint32, t_fp32)
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with pytest.raises(TypeError):
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net(t_uint32, t_fp64)
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with pytest.raises(TypeError):
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net(t_uint64, t_fp16)
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with pytest.raises(TypeError):
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net(t_uint64, t_fp32)
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with pytest.raises(TypeError):
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net(t_uint64, t_fp64)
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with pytest.raises(TypeError):
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tfp(t_uint16)
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with pytest.raises(TypeError):
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tfp(t_uint32)
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with pytest.raises(TypeError):
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tfp(t_uint64)
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with pytest.raises(TypeError):
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tint(t_uint16)
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with pytest.raises(TypeError):
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tint(t_uint32)
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with pytest.raises(TypeError):
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tint(t_uint64)
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bnet = TensorBoolAutoCast()
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with pytest.raises(TypeError):
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bnet(t_uint8)
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with pytest.raises(TypeError):
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bnet(t_int8)
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with pytest.raises(TypeError):
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bnet(t_int16)
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with pytest.raises(TypeError):
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bnet(t_int32)
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with pytest.raises(TypeError):
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bnet(t_int64)
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with pytest.raises(TypeError):
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bnet(t_fp16)
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with pytest.raises(TypeError):
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bnet(t_fp32)
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with pytest.raises(TypeError):
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bnet(t_fp64)
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