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import unittest
import numpy as np
import math
import sys
from op_test import OpTest
class TestROIPoolOp(OpTest):
def set_data(self):
self.init_test_case()
self.make_rois()
self.calc_roi_pool()
self.inputs = {
'X': self.x,
'ROIs': self.rois}
self.attrs = {
'spatial_scale': self.spatial_scale,
'pooled_height': self.pooled_height,
'pooled_width': self.pooled_width}
self.outputs = {
'Out': self.outs,
'Argmax': self.argmaxes}
def init_test_case(self):
self.batch_size = 5
self.channels = 3
self.height = 6
self.width = 4
# n, c, h, w
self.x_dim = (self.batch_size, self.channels,
self.height, self.width)
self.spatial_scale = 1.0/4.0
self.pooled_height = 2
self.pooled_width = 2
self.rois_num = 2
self.x = np.random.random(self.x_dim).astype('float32')
def calc_roi_pool(self):
out_data = np.zeros(
(self.rois_num, self.channels,
self.pooled_height, self.pooled_width))
argmax_data = np.zeros(
(self.rois_num, self.channels,
self.pooled_height, self.pooled_width))
for i in range(self.rois_num):
roi = self.rois[i]
roi_batch_id = roi[0]
roi_start_w = int(round(roi[1] * self.spatial_scale))
roi_start_h = int(round(roi[2] * self.spatial_scale))
roi_end_w = int(round(roi[3] * self.spatial_scale))
roi_end_h = int(round(roi[4] * self.spatial_scale))
roi_height = int(max(roi_end_h - roi_start_h + 1, 1));
roi_width = int(max(roi_end_w - roi_start_w + 1, 1));
x_i = self.x[roi_batch_id]
bin_size_h = float(roi_height) / float(self.pooled_height)
bin_size_w = float(roi_width) / float(self.pooled_width)
for c in range(self.channels):
for ph in range(self.pooled_height):
for pw in range(self.pooled_width):
hstart = int(math.floor(ph * bin_size_h))
wstart = int(math.floor(pw * bin_size_w))
hend = int(math.ceil((ph + 1) * bin_size_h))
wend = int(math.ceil((pw + 1) * bin_size_w))
hstart = min(max(hstart + roi_start_h, 0), self.height)
hend = min(max(hend + roi_start_h, 0), self.height)
wstart = min(max(wstart + roi_start_w, 0), self.width)
wend = min(max(wend + roi_start_w, 0), self.width)
is_empty = (hend <= hstart) or (wend <= wstart)
if is_empty:
out_data[i, c, ph, pw] = 0
else:
out_data[i, c, ph, pw] = -sys.float_info.max
argmax_data[i, c, ph, pw] = -1
for h in range(hstart, hend):
for w in range(wstart, wend):
if x_i[c, h, w] > out_data[i, c, ph, pw]:
out_data[i, c, ph, pw] = x_i[c, h, w]
argmax_data[i, c, ph, pw] = h * \
self.width + w
self.outs = out_data.astype('float32')
self.argmaxes = argmax_data.astype('int64')
def make_rois(self):
rois = []
batch_ids = np.random.randint(0, self.batch_size, size=self.rois_num)
for i in range(self.rois_num):
x1 = np.random.random_integers(
0, self.width / self.spatial_scale - self.pooled_width)
y1 = np.random.random_integers(
0, self.height / self.spatial_scale - self.pooled_height)
x2 = np.random.random_integers(
x1 + self.pooled_width, self.width / self.spatial_scale)
y2 = np.random.random_integers(
y1 + self.pooled_height, self.height / self.spatial_scale)
roi = [batch_ids[i], x1, y1, x2, y2]
rois.append(roi)
self.rois = np.array(rois).astype("int64")
def setUp(self):
self.op_type = "roi_pool"
self.set_data()
def test_check_output(self):
self.check_output()
def test_check_grad(self):
self.check_grad(['X'], 'Out')
if __name__ == '__main__':
unittest.main()