Searched refs:sparse_softmax_cross_entropy_with_logits (Results 1 – 18 of 18) sorted by relevance
26 def sparse_softmax_cross_entropy_with_logits(logits, labels, name=None): function28 return _nn_ops.sparse_softmax_cross_entropy_with_logits(
415 loss = nn_ops_lib.sparse_softmax_cross_entropy_with_logits(
66 loss = tf.reduce_mean(tf.nn.sparse_softmax_cross_entropy_with_logits(
63 crossent = nn_ops.sparse_softmax_cross_entropy_with_logits(
60 result = gen_nn_ops.sparse_softmax_cross_entropy_with_logits(
311 return -nn_ops.sparse_softmax_cross_entropy_with_logits(
150 return nn_ops.sparse_softmax_cross_entropy_with_logits(logits=x,
910 nn_ops.sparse_softmax_cross_entropy_with_logits)(
434 xent = nn_ops.sparse_softmax_cross_entropy_with_logits(
172 " loss = tf.reduce_mean(tf.nn.sparse_softmax_cross_entropy_with_logits(\n",
1097 losses = nn.sparse_softmax_cross_entropy_with_logits(labels=labels,
59 loss = tf.reduce_mean(tf.nn.sparse_softmax_cross_entropy_with_logits(
328 name: "sparse_softmax_cross_entropy_with_logits"
4273 cost, _ = gen_nn_ops.sparse_softmax_cross_entropy_with_logits(4280 def sparse_softmax_cross_entropy_with_logits( function4461 return sparse_softmax_cross_entropy_with_logits(
206 gen_nn_ops.sparse_softmax_cross_entropy_with_logits,220 gen_nn_ops.sparse_softmax_cross_entropy_with_logits,
400 name: "sparse_softmax_cross_entropy_with_logits"
808 loss = nn.sparse_softmax_cross_entropy_with_logits(
1943 * `tf.nn.sparse_softmax_cross_entropy_with_logits` forwards and/or