test_pool2d_op.py 5.3 KB
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import unittest
import numpy as np
from op_test import OpTest


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def max_pool2D_forward_naive(x, ksize, strides, paddings, global_pool=0):
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    N, C, H, W = x.shape
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    if global_pool == 1:
        ksize = [H, W]
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    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))
    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))
    return out


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def avg_pool2D_forward_naive(x, ksize, strides, paddings, global_pool=0):
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    N, C, H, W = x.shape
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    if global_pool == 1:
        ksize = [H, W]
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    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))
    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.sum(x_masked, axis=(2, 3)) / (
                (r_end - r_start) * (c_end - c_start))
    return out


class TestPool2d_Op(OpTest):
    def setUp(self):
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        self.init_test_case()
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        self.init_global_pool()
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        self.init_op_type()
        self.init_pool_type()
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        if self.global_pool:
            self.paddings = [0 for _ in range(len(self.paddings))]
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        input = np.random.random(self.shape).astype("float32")
        output = self.pool2D_forward_naive(input, self.ksize, self.strides,
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                                           self.paddings,
                                           self.global_pool).astype("float32")
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        self.inputs = {'X': input}
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        self.attrs = {
            'strides': self.strides,
            'paddings': self.paddings,
            'ksize': self.ksize,
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            'pooling_type': self.pool_type,
            'global_pooling': self.global_pool,
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        }

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        self.outputs = {'Out': output.astype('float32')}
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    def test_check_output(self):
        self.check_output()

    def test_check_grad(self):
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        if self.pool_type != "max":
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            self.check_grad(set(['X']), 'Out', max_relative_error=0.07)
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    def init_test_case(self):
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        self.shape = [2, 3, 5, 5]
        self.ksize = [3, 3]
        self.strides = [1, 1]
        self.paddings = [0, 0]

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    def init_op_type(self):
        self.op_type = "pool2d"

    def init_pool_type(self):
        self.pool_type = "avg"
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        self.pool2D_forward_naive = avg_pool2D_forward_naive

    def init_global_pool(self):
        self.global_pool = True
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class TestCase1(TestPool2d_Op):
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    def init_test_case(self):
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        self.shape = [2, 3, 7, 7]
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        self.ksize = [3, 3]
        self.strides = [1, 1]
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        self.paddings = [0, 0]
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    def init_op_type(self):
        self.op_type = "pool2d"

    def init_pool_type(self):
        self.pool_type = "avg"
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        self.pool2D_forward_naive = avg_pool2D_forward_naive

    def init_global_pool(self):
        self.global_pool = False
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class TestCase2(TestPool2d_Op):
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    def init_test_case(self):
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        self.shape = [2, 3, 7, 7]
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        self.ksize = [3, 3]
        self.strides = [1, 1]
        self.paddings = [1, 1]

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    def init_op_type(self):
        self.op_type = "pool2d"

    def init_pool_type(self):
        self.pool_type = "avg"
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        self.pool2D_forward_naive = avg_pool2D_forward_naive
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    def init_global_pool(self):
        self.global_pool = False
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class TestCase3(TestPool2d_Op):
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    def init_op_type(self):
        self.op_type = "pool2d"

    def init_pool_type(self):
        self.pool_type = "max"
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        self.pool2D_forward_naive = max_pool2D_forward_naive
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class TestCase4(TestCase1):
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    def init_op_type(self):
        self.op_type = "pool2d"

    def init_pool_type(self):
        self.pool_type = "max"
        self.pool2D_forward_naive = max_pool2D_forward_naive

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class TestCase5(TestCase2):
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    def init_op_type(self):
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        self.op_type = "pool2d"
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    def init_pool_type(self):
        self.pool_type = "max"
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        self.pool2D_forward_naive = max_pool2D_forward_naive
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#--------------------test pool2d_cudnn--------------------
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class TestCudnnCase1(TestPool2d_Op):
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    def init_op_type(self):
        self.op_type = "pool2d_cudnn"


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class TestCudnnCase2(TestCase1):
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    def init_op_type(self):
        self.op_type = "pool2d_cudnn"


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class TestCudnnCase3(TestCase2):
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    def init_op_type(self):
        self.op_type = "pool2d_cudnn"


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class TestCudnnCase4(TestCase3):
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    def init_op_type(self):
        self.op_type = "pool2d_cudnn"


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class TestCudnnCase5(TestCase4):
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    def init_op_type(self):
        self.op_type = "pool2d_cudnn"

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class TestCudnnCase6(TestCase5):
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    def init_op_type(self):
        self.op_type = "pool2d_cudnn"

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