tensorflow/inception/inception/slim/inception_model.py [193:208]:
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          with tf.variable_scope('branch1x1'):
            branch1x1 = ops.conv2d(net, 192, [1, 1])
          with tf.variable_scope('branch7x7'):
            branch7x7 = ops.conv2d(net, 160, [1, 1])
            branch7x7 = ops.conv2d(branch7x7, 160, [1, 7])
            branch7x7 = ops.conv2d(branch7x7, 192, [7, 1])
          with tf.variable_scope('branch7x7dbl'):
            branch7x7dbl = ops.conv2d(net, 160, [1, 1])
            branch7x7dbl = ops.conv2d(branch7x7dbl, 160, [7, 1])
            branch7x7dbl = ops.conv2d(branch7x7dbl, 160, [1, 7])
            branch7x7dbl = ops.conv2d(branch7x7dbl, 160, [7, 1])
            branch7x7dbl = ops.conv2d(branch7x7dbl, 192, [1, 7])
          with tf.variable_scope('branch_pool'):
            branch_pool = ops.avg_pool(net, [3, 3])
            branch_pool = ops.conv2d(branch_pool, 192, [1, 1])
          net = tf.concat(3, [branch1x1, branch7x7, branch7x7dbl, branch_pool])
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tensorflow/inception/inception/slim/inception_model.py [212:227]:
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          with tf.variable_scope('branch1x1'):
            branch1x1 = ops.conv2d(net, 192, [1, 1])
          with tf.variable_scope('branch7x7'):
            branch7x7 = ops.conv2d(net, 160, [1, 1])
            branch7x7 = ops.conv2d(branch7x7, 160, [1, 7])
            branch7x7 = ops.conv2d(branch7x7, 192, [7, 1])
          with tf.variable_scope('branch7x7dbl'):
            branch7x7dbl = ops.conv2d(net, 160, [1, 1])
            branch7x7dbl = ops.conv2d(branch7x7dbl, 160, [7, 1])
            branch7x7dbl = ops.conv2d(branch7x7dbl, 160, [1, 7])
            branch7x7dbl = ops.conv2d(branch7x7dbl, 160, [7, 1])
            branch7x7dbl = ops.conv2d(branch7x7dbl, 192, [1, 7])
          with tf.variable_scope('branch_pool'):
            branch_pool = ops.avg_pool(net, [3, 3])
            branch_pool = ops.conv2d(branch_pool, 192, [1, 1])
          net = tf.concat(3, [branch1x1, branch7x7, branch7x7dbl, branch_pool])
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