formula = tf.sparse_tensor_to_dense(parsed[FORMULA_KEY])returnwords, sentence_length, formula, formula_length 开发者ID:usman776,项目名称:dket,代码行数:28,代码来源:data.py 示例3: build_model ▲点赞 3▼ defbuild_model(self):dense_masker = tf.sparse_tensor_to_dense(self.mask)withtf.name_...
在TensorFlow 2.x 版本中,sparse_tensor_to_dense 函数可能已经被移动或重命名。例如,在 TensorFlow 2.x 中,你可能需要使用 tf.sparse.to_dense 而不是 tf.sparse_tensor_to_dense。 如果不支持,提供替代方法或函数来实现相同功能: 如果你的 TensorFlow 版本确实不支持 sparse_tensor_to_dense,你可以使用 tf...
# 需要導入模塊: import tensorflow [as 別名]# 或者: from tensorflow importsparse_tensor_to_dense[as 別名]defentity_content_embedding_lookup(entities, content, content_len, vocab_table, word_embedding, str_pad, name=None):""" Lookup entity word embeddings given a flatten 1-D entity id list ...
array([1, 2, 3, 4], dtype=np.int32) shape = np.array([5, 5], dtype=np.int32) x = tf.SparseTensor(values=values,indices=indices,dense_shape=shape) with tf.Session() as sess: result = sess.run(x) print(result) result_value = tf.sparse_tensor_to_dense(result) print('value:...
wide and deep 模型的核心思想是结合线性模型的记忆能力（memorization）和 DNN 模型的泛化能力（...
I think it would be helpful if there is a dense_to_sparse op in Tensorflow for ops like ctc_loss that requires sparse labels. I'm not really sure where else it can be used aside from that but in case only ctc_loss uses it, I think it wou...
"Converting sparse IndexedSlices to a dense Tensor of unknown shape. " I cannot understand what it means. Could you give me a solution? Here is a part of my code: net = tflearn.input_data([None, 500]) net = tflearn.embedding(net, input_dim=len(dic), output_dim=128) ...
pose_1 = sparse_ops.sparse_tensor_to_dense(pose_1, default_value=0, validate_indices=False) image_raw_0 = tf.reshape(image_raw_0, [128,64,3]) image_raw_1 = tf.reshape(image_raw_1, [128,64,3]) pose_0 = tf.cast(tf.reshape(pose_0, [128,64, self.keypoint_num...
示例1: tensors_to_item ▲点赞 6▼ # 需要导入模块: from tensorflow.python.ops import sparse_ops [as 别名]# 或者: from tensorflow.python.ops.sparse_ops importsparse_tensor_to_dense[as 别名]deftensors_to_item(self, keys_to_tensors):tensor = keys_to_tensors[self._tensor_key] ...
求助!!! train_net.py UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory. "Converting sparse IndexedSlices to a dense Tensor of unknown shape. " #337 Open zhangsn828 opened this issue Apr 4, 2019· 5 comments Comments...