“4e39ed41a5ba6cd476faa8b3377b1afddc4e29e2”上不存在“git@gitcode.net:taosdata/tdengine.git”
test_bilinear_interp_op.py 5.0 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
#   Copyright (c) 2018 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 op_test import OpTest


20 21 22 23
def bilinear_interp_np(input, out_h, out_w, out_size):
    if out_size is not None:
        out_h = out_size[0]
        out_w = out_size[1]
24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
    batch_size, channel, in_h, in_w = input.shape
    if out_h > 1:
        ratio_h = (in_h - 1.0) / (out_h - 1.0)
    else:
        ratio_h = 0.0
    if out_w > 1:
        ratio_w = (in_w - 1.0) / (out_w - 1.0)
    else:
        ratio_w = 0.0

    out = np.zeros((batch_size, channel, out_h, out_w))
    for i in range(out_h):
        h = int(ratio_h * i)
        hid = 1 if h < in_h - 1 else 0
        h1lambda = ratio_h * i - h
        h2lambda = 1.0 - h1lambda
        for j in range(out_w):
            w = int(ratio_w * j)
            wid = 1 if w < in_w - 1 else 0
            w1lambda = ratio_w * j - w
            w2lambda = 1.0 - w1lambda

            out[:, :, i, j] = h2lambda*(w2lambda*input[:, :, h, w] +
                                        w1lambda*input[:, :, h, w+wid]) + \
F
fengjiayi 已提交
48 49 50
                h1lambda*(w2lambda*input[:, :, h+hid, w] +
                          w1lambda*input[:, :, h+hid, w+wid])
    return out.astype(input.dtype)
51 52 53 54


class TestBilinearInterpOp(OpTest):
    def setUp(self):
55
        self.out_size = None
56 57 58
        self.init_test_case()
        self.op_type = "bilinear_interp"
        input_np = np.random.random(self.input_shape).astype("float32")
59 60
        output_np = bilinear_interp_np(input_np, self.out_h, self.out_w,
                                       self.out_size)
61
        self.inputs = {'X': input_np}
62 63
        if self.out_size is not None:
            self.inputs['OutSize'] = self.out_size
64 65 66 67 68 69 70 71 72 73 74 75 76
        self.attrs = {'out_h': self.out_h, 'out_w': self.out_w}
        self.outputs = {'Out': output_np}

    def test_check_output(self):
        self.check_output()

    def test_check_grad(self):
        self.check_grad(['X'], 'Out', in_place=True)

    def init_test_case(self):
        self.input_shape = [2, 3, 4, 4]
        self.out_h = 2
        self.out_w = 2
77
        self.out_size = np.array([3, 3]).astype("int32")
78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93


class TestCase1(TestBilinearInterpOp):
    def init_test_case(self):
        self.input_shape = [4, 1, 7, 8]
        self.out_h = 1
        self.out_w = 1


class TestCase2(TestBilinearInterpOp):
    def init_test_case(self):
        self.input_shape = [3, 3, 9, 6]
        self.out_h = 12
        self.out_w = 12


W
wangyang59 已提交
94
class TestCase3(TestBilinearInterpOp):
W
wangyang59 已提交
95
    def init_test_case(self):
W
wangyang59 已提交
96 97 98
        self.input_shape = [1, 1, 128, 64]
        self.out_h = 64
        self.out_w = 128
W
wangyang59 已提交
99 100


101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124
class TestCase4(TestBilinearInterpOp):
    def init_test_case(self):
        self.input_shape = [4, 1, 7, 8]
        self.out_h = 1
        self.out_w = 1
        self.out_size = np.array([2, 2]).astype("int32")


class TestCase5(TestBilinearInterpOp):
    def init_test_case(self):
        self.input_shape = [3, 3, 9, 6]
        self.out_h = 12
        self.out_w = 12
        self.out_size = np.array([11, 11]).astype("int32")


class TestCase6(TestBilinearInterpOp):
    def init_test_case(self):
        self.input_shape = [1, 1, 128, 64]
        self.out_h = 64
        self.out_w = 128
        self.out_size = np.array([65, 129]).astype("int32")


F
fengjiayi 已提交
125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163
class TestBilinearInterpOpUint8(OpTest):
    def setUp(self):
        self.out_size = None
        self.init_test_case()
        self.op_type = "bilinear_interp"
        input_np = np.random.randint(
            low=0, high=256, size=self.input_shape).astype("uint8")
        output_np = bilinear_interp_np(input_np, self.out_h, self.out_w,
                                       self.out_size)
        self.inputs = {'X': input_np}
        if self.out_size is not None:
            self.inputs['OutSize'] = self.out_size
        self.attrs = {'out_h': self.out_h, 'out_w': self.out_w}
        self.outputs = {'Out': output_np}

    def test_check_output(self):
        self.check_output(atol=1)

    def init_test_case(self):
        self.input_shape = [1, 3, 9, 6]
        self.out_h = 10
        self.out_w = 9


class TestCase1Uint8(TestBilinearInterpOpUint8):
    def init_test_case(self):
        self.input_shape = [2, 3, 128, 64]
        self.out_h = 120
        self.out_w = 50


class TestCase2Uint8(TestBilinearInterpOpUint8):
    def init_test_case(self):
        self.input_shape = [4, 1, 7, 8]
        self.out_h = 5
        self.out_w = 13
        self.out_size = np.array([6, 15]).astype("int32")


164 165
if __name__ == "__main__":
    unittest.main()