test_Conv2D_Dropout.py

# 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 paddle
from onnxbase import APIOnnx
from onnxbase import randtool
from onnxbase import _test_with_pir


class Net(paddle.nn.Layer):
    """
    simple Net
    """

    def __init__(
        self,
        stride=1,
        padding=0,
        dilation=1,
        groups=1,
        padding_mode="zeros",
        weight_attr=None,
        bias_attr=None,
        data_format="NCHW",
    ):
        super(Net, self).__init__()
        self._bn = paddle.nn.Conv2D(
            in_channels=1,
            out_channels=2,
            kernel_size=3,
            stride=stride,
            padding=padding,
            dilation=dilation,
            groups=groups,
            padding_mode=padding_mode,
            weight_attr=weight_attr,
            bias_attr=bias_attr,
            data_format=data_format,
        )
        self._drop = paddle.nn.Dropout(p=0.5)

    def forward(self, inputs):
        """
        forward
        """
        x = self._bn(inputs)
        x = self._drop(x)
        return x


@_test_with_pir
def test_Conv2D_Dropout_9():
    """
    api: paddle.Conv2D_Dropout
    op version: 9
    """
    op = Net()
    op.eval()
    # net, name, ver_list, delta=1e-6, rtol=1e-5
    obj = APIOnnx(op, "Conv2D_Dropout", [9])
    obj.set_input_data(
        "input_data",
        paddle.to_tensor(randtool("float", -1, 1, [3, 1, 10, 10]).astype("float32")),
    )
    obj.run()


@_test_with_pir
def test_Conv2D_Dropout_10():
    """
    api: paddle.Conv2D_Dropout
    op version: 10
    """
    op = Net()
    op.eval()
    # net, name, ver_list, delta=1e-6, rtol=1e-5
    obj = APIOnnx(op, "Conv2D_Dropout", [10])
    obj.set_input_data(
        "input_data",
        paddle.to_tensor(randtool("float", -1, 1, [3, 1, 10, 10]).astype("float32")),
    )
    obj.run()


@_test_with_pir
def test_Conv2D_Dropout_11():
    """
    api: paddle.Conv2D_Dropout
    op version: 11
    """
    op = Net()
    op.eval()
    # net, name, ver_list, delta=1e-6, rtol=1e-5
    obj = APIOnnx(op, "Conv2D_Dropout", [11])
    obj.set_input_data(
        "input_data",
        paddle.to_tensor(randtool("float", -1, 1, [3, 1, 10, 10]).astype("float32")),
    )
    obj.run()


@_test_with_pir
def test_Conv2D_Dropout_12():
    """
    api: paddle.Conv2D_Dropout
    op version: 12
    """
    op = Net()
    op.eval()
    # net, name, ver_list, delta=1e-6, rtol=1e-5
    obj = APIOnnx(op, "Conv2D_Dropout", [12])
    obj.set_input_data(
        "input_data",
        paddle.to_tensor(randtool("float", -1, 1, [3, 1, 10, 10]).astype("float32")),
    )
    obj.run()


@_test_with_pir
def test_Conv2D_Dropout_padding_0_9():
    """
    api: paddle.Conv2D_Dropout
    op version: 9
    """
    op = Net(padding=[1, 2])
    op.eval()
    # net, name, ver_list, delta=1e-6, rtol=1e-5
    obj = APIOnnx(op, "Conv2D_Dropout", [9])
    obj.set_input_data(
        "input_data",
        paddle.to_tensor(randtool("float", -1, 1, [3, 1, 10, 10]).astype("float32")),
    )
    obj.run()


@_test_with_pir
def test_Conv2D_Dropout_padding_1_9():
    """
    api: paddle.Conv2D_Dropout
    op version: 9
    """
    op = Net(padding=[1, 2, 3, 4])
    op.eval()
    # net, name, ver_list, delta=1e-6, rtol=1e-5
    obj = APIOnnx(op, "Conv2D_Dropout", [9])
    obj.set_input_data(
        "input_data",
        paddle.to_tensor(randtool("float", -1, 1, [3, 1, 10, 10]).astype("float32")),
    )
    obj.run()


@_test_with_pir
def test_Conv2D_Dropout_padding_2_9():
    """
    api: paddle.Conv2D_Dropout
    op version: 9
    """
    op = Net(padding=[[0, 0], [0, 0], [1, 2], [2, 3]])
    op.eval()
    # net, name, ver_list, delta=1e-6, rtol=1e-5
    obj = APIOnnx(op, "Conv2D_Dropout", [9])
    obj.set_input_data(
        "input_data",
        paddle.to_tensor(randtool("float", -1, 1, [3, 1, 10, 10]).astype("float32")),
    )
    obj.run()