test_pool_max_op.py

import unittest
import numpy as np
from op_test import OpTest


def max_pool3D_forward_naive(x, ksize, strides, paddings=[0, 0], global_pool=0):

    N, C, D, H, W = x.shape
    if global_pool == 1:
        ksize = [D, H, W]
    D_out = (D - ksize[0] + 2 * paddings[0]) / strides[0] + 1
    H_out = (H - ksize[1] + 2 * paddings[1]) / strides[1] + 1
    W_out = (W - ksize[2] + 2 * paddings[2]) / strides[2] + 1
    out = np.zeros((N, C, D_out, H_out, W_out))
    mask = np.zeros((N, C, D_out, H_out, W_out))
    for k in xrange(D_out):
        d_start = np.max((k * strides[0] - paddings[0], 0))
        d_end = np.min((k * strides[0] + ksize[0] - paddings[0], D))
        for i in xrange(H_out):
            h_start = np.max((i * strides[0] - paddings[0], 0))
            h_end = np.min((i * strides[0] + ksize[0] - paddings[0], H))
            for j in xrange(W_out):
                w_start = np.max((j * strides[1] - paddings[1], 0))
                w_end = np.min((j * strides[1] + ksize[1] - paddings[1], W))
                x_masked = x[:, :, d_start:d_end, h_start:h_end, w_start:w_end]

                out[:, :, k, i, j] = np.max(x_masked, axis=(2, 3, 4))
                # mask[:,:, k, i, j] = np.argmax(x_masked, axis=(2, 3, 4))
    return out


def max_pool2D_forward_naive(x, ksize, strides, paddings=[0, 0], global_pool=0):

    N, C, H, W = x.shape
    if global_pool == 1:
        ksize = [H, W]
    H_out = (H - ksize[0] + 2 * paddings[0]) / strides[0] + 1
    W_out = (W - ksize[1] + 2 * paddings[1]) / strides[1] + 1
    out = np.zeros((N, C, H_out, W_out))
    mask = np.zeros((N, C, H_out, W_out))
    for i in xrange(H_out):
        for j in xrange(W_out):
            r_start = np.max((i * strides[0] - paddings[0], 0))
            r_end = np.min((i * strides[0] + ksize[0] - paddings[0], H))
            c_start = np.max((j * strides[1] - paddings[1], 0))
            c_end = np.min((j * strides[1] + ksize[1] - paddings[1], W))
            x_masked = x[:, :, r_start:r_end, c_start:c_end]

            out[:, :, i, j] = np.max(x_masked, axis=(2, 3))
            # mask[:,:, i, j] = np.argmax(x_masked, axis=(2, 3))

    return out


class TestMaxPoolWithIndex_Op(OpTest):
    def setUp(self):
        self.initTestCase()
        self.op_type = "maxPool3dWithIndex"
        input = np.random.random(self.shape).astype("float32")
        output = self.pool_forward_naive(input, self.ksize, self.strides,
                                         self.paddings, self.global_pool)
        # mask = np.zeros(output.shape)

        self.attrs = {
            'strides': self.strides,
            'paddings': self.paddings,
            'ksize': self.ksize,
            'globalPooling': self.global_pool,
        }

        self.inputs = {'X': input}
        self.outputs = {'Out': output}

    def test_check_output(self):
        self.check_output()

    # def test_check_grad(self):
    #     self.check_grad(set(['X']), ['Out'], max_relative_error=0.07)

    def initTestCase(self):
        self.global_pool = 0
        self.pool_forward_naive = max_pool3D_forward_naive
        self.shape = [2, 3, 7, 7, 7]
        self.ksize = [3, 3, 3]
        self.strides = [1, 1, 1]
        self.paddings = [1, 1, 1]


""""
class TestCase1(TestMaxPoolWithIndex_Op):
    def initTestCase(self):
        self.global_pool = 1
        self.op_type = "maxPool3dWithIndex"
        self.pool_forward_naive = max_pool3D_forward_naive
        self.shape = [2, 3, 5, 5, 5]
        self.ksize = [3, 3, 3]
        self.strides = [1, 1, 1]
        self.paddings = [0, 0, 0]


class TestCase2(TestMaxPoolWithIndex_Op):
    def initTestCase(self):
        self.global_pool = 0
        self.op_type = "maxPool2dWithIndex"
        self.pool_forward_naive = max_pool2D_forward_naive
        self.shape = [2, 3, 7, 7]
        self.ksize = [3, 3]
        self.strides = [1, 1]
        self.paddings = [1, 1]


class TestCase3(TestMaxPoolWithIndex_Op):
    def initTestCase(self):
        self.global_pool = 1
        self.op_type = "maxPool2dWithIndex"
        self.pool_forward_naive = max_pool2D_forward_naive
        self.shape = [2, 3, 5, 5]
        self.ksize = [3, 3]
        self.strides = [1, 1]
        self.paddings = [0, 0]


if __name__ == '__main__':
    unittest.main()
"""