mindspore/tests/st/ops/ascend/test_autocast.py

# Copyright 2020 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.
# ============================================================================
"""multitype_ops directory test case"""
import numpy as np
from functools import partial, reduce

import mindspore.nn as nn
from mindspore import Tensor
from mindspore import dtype as mstype
from mindspore.ops import functional as F, composite as C
import mindspore.context as context
import pytest

class TensorIntAutoCast(nn.Cell):
    def __init__(self,):
        super(TensorIntAutoCast, self).__init__()
        self.i = 2
    def construct(self, t):
        z = F.tensor_mul(t, self.i)
        return z


class TensorFPAutoCast(nn.Cell):
    def __init__(self,):
        super(TensorFPAutoCast, self).__init__()
        self.f = 1.2
    def construct(self, t):
        z = F.tensor_mul(t, self.f)
        return z


class TensorBoolAutoCast(nn.Cell):
    def __init__(self,):
        super(TensorBoolAutoCast, self).__init__()
        self.f = True
    def construct(self, t):
        z = F.tensor_mul(t, self.f)
        return z

class TensorAutoCast(nn.Cell):
    def __init__(self,):
        super(TensorAutoCast, self).__init__()
    def construct(self, t1, t2):
        z = F.tensor_mul(t1, t2)
        return z


def test_tensor_auto_cast():
    context.set_context(mode=context.GRAPH_MODE)
    t0 = Tensor([True, False], mstype.bool_)
    t_uint8 = Tensor(np.ones([2, 1, 2, 2]), mstype.uint8)
    t_int8 = Tensor(np.ones([2, 1, 2, 2]), mstype.int8)
    t_int16 = Tensor(np.ones([2, 1, 2, 2]), mstype.int16)
    t_int32 = Tensor(np.ones([2, 1, 2, 2]), mstype.int32)
    t_int64 = Tensor(np.ones([2, 1, 2, 2]), mstype.int64)
    t_fp16 = Tensor(np.ones([2, 1, 2, 2]), mstype.float16)
    t_fp32 = Tensor(np.ones([2, 1, 2, 2]), mstype.float32)
    t_fp64 = Tensor(np.ones([2, 1, 2, 2]), mstype.float64)
    net = TensorAutoCast() 
    rs = net(t_uint8, t_int8)
    assert rs.dtype() == mstype.int16
    rs = net(t_uint8, t_int16)
    assert rs.dtype() == mstype.int16
    rs = net(t_uint8, t_int32)
    assert rs.dtype() == mstype.int32
    rs = net(t_uint8, t_int64)
    assert rs.dtype() == mstype.int64
    rs = net(t_int8, t_int16)
    assert rs.dtype() == mstype.int16
    rs = net(t_int8, t_int32)
    assert rs.dtype() == mstype.int32
    rs = net(t_int8, t_int64)
    assert rs.dtype() == mstype.int64
    rs = net(t_int16, t_int32)
    assert rs.dtype() == mstype.int32
    rs = net(t_int16, t_int64)
    assert rs.dtype() == mstype.int64
    rs = net(t_int32, t_int64)
    assert rs.dtype() == mstype.int64

    rs = net(t_fp16, t_fp32)
    assert rs.dtype() == mstype.float32
    rs = net(t_fp16, t_fp64)
    assert rs.dtype() == mstype.float64
    rs = net(t_fp32, t_fp64)
    assert rs.dtype() == mstype.float64
    
    rs = net(t_uint8, t_fp16)
    assert rs.dtype() == mstype.float16
    rs = net(t_uint8, t_fp32)
    assert rs.dtype() == mstype.float32
    rs = net(t_uint8, t_fp64)
    assert rs.dtype() == mstype.float64
    rs = net(t_int8, t_fp64)
    assert rs.dtype() == mstype.float64
    rs = net(t_int16, t_fp64)
    assert rs.dtype() == mstype.float64
    rs = net(t_int32, t_fp64)
    assert rs.dtype() == mstype.float64
    rs = net(t_int64, t_fp64)
    assert rs.dtype() == mstype.float64

    rs = net(t_fp16, t_int8)
    assert rs.dtype() == mstype.float16
    rs = net(t_fp16, t_uint8)
    assert rs.dtype() == mstype.float16
    rs = net(t_fp16, t_int16)
    assert rs.dtype() == mstype.float16
    rs = net(t_fp16, t_int32)
    assert rs.dtype() == mstype.float16
    rs = net(t_fp16, t_int64)
    assert rs.dtype() == mstype.float16

    tint = TensorIntAutoCast()
    rs = tint(t_uint8)
    assert rs.dtype() == mstype.uint8
    rs = tint(t_int8)
    assert rs.dtype() == mstype.int8
    rs = tint(t_int16)
    assert rs.dtype() == mstype.int16
    rs = tint(t_int32)
    assert rs.dtype() == mstype.int32
    rs = tint(t_int64)
    assert rs.dtype() == mstype.int64
    rs = tint(t_fp16)
    assert rs.dtype() == mstype.float16
    rs = tint(t_fp32)
    assert rs.dtype() == mstype.float32
    rs = tint(t_fp64)
    assert rs.dtype() == mstype.float64
    tfp = TensorFPAutoCast()
    rs = tfp(t_uint8)
    assert rs.dtype() == mstype.float32
    rs = tfp(t_int8)
    assert rs.dtype() == mstype.float32
    rs = tfp(t_int16)
    assert rs.dtype() == mstype.float32
    rs = tfp(t_int32)
    assert rs.dtype() == mstype.float32
    rs = tfp(t_int64)
    assert rs.dtype() == mstype.float32
    rs = tfp(t_fp16)
    assert rs.dtype() == mstype.float32
    rs = tfp(t_fp32)
    assert rs.dtype() == mstype.float32
    rs = tfp(t_fp64)
    assert rs.dtype() == mstype.float64

    t_uint16 = Tensor(np.ones([2, 1, 2, 2]), mstype.uint16)
    t_uint32 = Tensor(np.ones([2, 1, 2, 2]), mstype.uint32)
    t_uint64 = Tensor(np.ones([2, 1, 2, 2]), mstype.uint64)
    with pytest.raises(TypeError):
        net(t_uint16, t_uint8)
    with pytest.raises(TypeError):
        net(t_uint16, t_int8)
    with pytest.raises(TypeError):
        net(t_uint16, t_int16)
    with pytest.raises(TypeError):
        net(t_uint16, t_int32)
    with pytest.raises(TypeError):
        net(t_uint16, t_int64)
    with pytest.raises(TypeError):
        net(t_uint32, t_uint8)
    with pytest.raises(TypeError):
        net(t_uint32, t_int8)
    with pytest.raises(TypeError):
        net(t_uint32, t_int16)
    with pytest.raises(TypeError):
        net(t_uint32, t_int32)
    with pytest.raises(TypeError):
        net(t_uint32, t_int64)
    with pytest.raises(TypeError):
        net(t_uint64, t_uint8)
    with pytest.raises(TypeError):
        net(t_uint64, t_int8)
    with pytest.raises(TypeError):
        net(t_uint64, t_int16)
    with pytest.raises(TypeError):
        net(t_uint64, t_int32)
    with pytest.raises(TypeError):
        net(t_uint64, t_int64)
    with pytest.raises(TypeError):
        net(t_uint16, t_fp16)
    with pytest.raises(TypeError):
        net(t_uint16, t_fp32)
    with pytest.raises(TypeError):
        net(t_uint16, t_fp64)
    with pytest.raises(TypeError):
        net(t_uint32, t_fp16)
    with pytest.raises(TypeError):
        net(t_uint32, t_fp32)
    with pytest.raises(TypeError):
        net(t_uint32, t_fp64)
    with pytest.raises(TypeError):
        net(t_uint64, t_fp16)
    with pytest.raises(TypeError):
        net(t_uint64, t_fp32)
    with pytest.raises(TypeError):
        net(t_uint64, t_fp64)


    with pytest.raises(TypeError):
        tfp(t_uint16)
    with pytest.raises(TypeError):
        tfp(t_uint32)
    with pytest.raises(TypeError):
        tfp(t_uint64)

    with pytest.raises(TypeError):
        tint(t_uint16)
    with pytest.raises(TypeError):
        tint(t_uint32)
    with pytest.raises(TypeError):
        tint(t_uint64)

    bnet = TensorBoolAutoCast()
    with pytest.raises(TypeError):
        bnet(t_uint8)
    with pytest.raises(TypeError):
        bnet(t_int8)
    with pytest.raises(TypeError):
        bnet(t_int16)
    with pytest.raises(TypeError):
        bnet(t_int32)
    with pytest.raises(TypeError):
        bnet(t_int64)
    with pytest.raises(TypeError):
        bnet(t_fp16)
    with pytest.raises(TypeError):
        bnet(t_fp32)
    with pytest.raises(TypeError):
        bnet(t_fp64)