summary.py 文件源码

def summary_gradients(grad_vars, summary_types, collections=None):
    """
    Add summary to all gradient tensors

    Args:
        grads_vars: grads and vars list
        summary_type: a list of all sumary types to add
            e.g.: ['scalar', 'histogram', 'sparsity', 'mean', 'rms', 'stddev', 'norm', 'max', 'min']
        collections: training or validation collections
    """
    with tf.name_scope('summary/gradient'):
        for grad, var in grad_vars:
            ndims = grad.get_shape().ndims
            for s_type in summary_types:
                summary_param(s_type, grad, ndims, var.op.name +
                              '/grad', collections=None)
        try:
            tf.summary.scalar('/global_norm', tf.global_norm(
                map(lambda grad_v: grad_v[0], grad_vars)), collections=collections)
        except Exception:
            return