Python tensor_shapeの例

コード例 #1

def _PadLabels3d(logits, labels):
  """Pads or slices 3-d labels to match logits.

  Covers the case of 2-d softmax output, when labels is [batch, height, width]
  and logits is [batch, height, width, onehot]
  Args:
    logits: 4-d Pre-softmax fully-connected output.
    labels: 3-d, but not necessarily matching in size.

  Returns:
    labels: Resized by padding or clipping to match logits.
  """
  logits_shape = shapes.tensor_shape(logits)
  labels_shape = shapes.tensor_shape(labels)
  labels = tf.reshape(labels, [-1, labels_shape[2]])
  labels = _PadLabels2d(logits_shape[2], labels)
  labels = tf.reshape(labels, [labels_shape[0], -1])
  labels = _PadLabels2d(logits_shape[1] * logits_shape[2], labels)
  return tf.reshape(labels, [labels_shape[0], logits_shape[1], logits_shape[2]])

コード例 #2

ファイル: vgsl_model.py プロジェクト: anoidgit/models

def _PadLabels3d(logits, labels):
  """Pads or slices 3-d labels to match logits.

  Covers the case of 2-d softmax output, when labels is [batch, height, width]
  and logits is [batch, height, width, onehot]
  Args:
    logits: 4-d Pre-softmax fully-connected output.
    labels: 3-d, but not necessarily matching in size.

  Returns:
    labels: Resized by padding or clipping to match logits.
  """
  logits_shape = shapes.tensor_shape(logits)
  labels_shape = shapes.tensor_shape(labels)
  labels = tf.reshape(labels, [-1, labels_shape[2]])
  labels = _PadLabels2d(logits_shape[2], labels)
  labels = tf.reshape(labels, [labels_shape[0], -1])
  labels = _PadLabels2d(logits_shape[1] * logits_shape[2], labels)
  return tf.reshape(labels, [labels_shape[0], logits_shape[1], logits_shape[2]])