2b976af3813c166bb96190c28cf28f214bd0df97,tensorflow2/tf2cv/models/common.py,MaxPool2d,call,#MaxPool2d#Any#,257

Before Change

            out_height = float(height + 2 * padding[0] - self.pool_size[0]) / self.strides[0] + 1.0
            if math.ceil(out_height) > math.floor(out_height):
                padding = (padding[0] + 1, padding[1])
            width = int(x.shape[3])
            out_width = float(width + 2 * padding[1] - self.pool_size[1]) / self.strides[1] + 1.0
            if math.ceil(out_width) > math.floor(out_width):
                padding = (padding[0], padding[1] + 1)
            if (padding[0] > 0) or (padding[1] > 0):

After Change

    def call(self, x):
        if self.ceil_mode:
            x_shape = x.get_shape().as_list()
            if is_channels_first(self.data_format):
                height = x_shape[2]
                width = x_shape[3]
            else:
                height = x_shape[1]
                width = x_shape[2]
            padding = self.padding
            out_height = float(height + 2 * padding[0] - self.pool_size[0]) / self.strides[0] + 1.0
            out_width = float(width + 2 * padding[1] - self.pool_size[1]) / self.strides[1] + 1.0
            if math.ceil(out_height) > math.floor(out_height):

Instances