| 58 | |
| 59 | |
| 60 | class BST(): |
| 61 | def __init__(self, |
| 62 | user_column=None, |
| 63 | item_column=None, |
| 64 | tag_column=None, |
| 65 | key_column=None, |
| 66 | final_hidden_units=[512, 256, 64], |
| 67 | learning_rate=0.001, |
| 68 | max_seqence_length=50, |
| 69 | multi_head_size=4, |
| 70 | batch_size=0, |
| 71 | optimizer_type='adam', |
| 72 | use_bn=True, |
| 73 | inputs=None, |
| 74 | bf16=False, |
| 75 | stock_tf=None, |
| 76 | adaptive_emb=False, |
| 77 | input_layer_partitioner=None, |
| 78 | dense_layer_partitioner=None): |
| 79 | if not inputs: |
| 80 | raise ValueError("Dataset is not defined.") |
| 81 | self._feature = inputs[0] |
| 82 | self._label = inputs[1] |
| 83 | |
| 84 | self._unseq_column = user_column + item_column |
| 85 | self._tag_column = tag_column |
| 86 | self._key_column = key_column |
| 87 | self._batch_size = batch_size |
| 88 | if not user_column or not item_column or not tag_column or not key_column: |
| 89 | raise ValueError('Feature column is not defined.') |
| 90 | |
| 91 | self.tf = stock_tf |
| 92 | self.bf16 = False if self.tf else bf16 |
| 93 | self.is_training = True |
| 94 | self._adaptive_emb = adaptive_emb |
| 95 | |
| 96 | self._final_hidden_units = final_hidden_units |
| 97 | self._max_seqence_length = max_seqence_length |
| 98 | self._multi_head_size = multi_head_size |
| 99 | self._learning_rate = learning_rate |
| 100 | self._use_bn = use_bn |
| 101 | self._optimizer_type = optimizer_type |
| 102 | self._input_layer_partitioner = input_layer_partitioner |
| 103 | self._dense_layer_partitioner = dense_layer_partitioner |
| 104 | |
| 105 | self._create_model() |
| 106 | with tf.name_scope('head'): |
| 107 | self._create_loss() |
| 108 | self._create_optimizer() |
| 109 | self._create_metrics() |
| 110 | |
| 111 | # used to add summary in tensorboard |
| 112 | def _add_layer_summary(self, value, tag): |
| 113 | tf.summary.scalar('%s/fraction_of_zero_values' % tag, |
| 114 | tf.nn.zero_fraction(value)) |
| 115 | tf.summary.histogram('%s/activation' % tag, value) |
| 116 | |
| 117 | def _add_and_norm(self, net_1, net_2, emb_dim, name='add_and_norm'): |