Searched refs:loss_tensor (Results 1 – 10 of 10) sorted by relevance
/external/tensorflow/tensorflow/contrib/boosted_trees/python/utils/ |
D | losses_test.py | 88 loss_tensor, _ = losses.per_example_squared_loss(labels, weights, 91 loss = loss_tensor.eval()
|
/external/tensorflow/tensorflow/contrib/distribute/python/ |
D | minimize_loss_test.py | 475 loss_tensor = distribution.reduce(reduce_util.ReduceOp.MEAN, loss_output) 479 loss_tensor = unwrapped_output[0] 480 self.assertEqual(initial_loss.dtype, loss_tensor.dtype) 481 self.assertEqual(initial_loss.shape, loss_tensor.shape)
|
/external/tensorflow/tensorflow/python/layers/ |
D | base.py | 274 loss_tensor = regularizer() 275 if loss_tensor is not None: 276 new_losses.append(loss_tensor)
|
/external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
D | kmeans.py | 46 def __init__(self, loss_tensor, tolerance): argument 53 self._loss_tensor = loss_tensor
|
/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.estimator.-nan-tensor-hook.pbtxt | 8 …argspec: "args=[\'self\', \'loss_tensor\', \'fail_on_nan_loss\'], varargs=None, keywords=None, def…
|
D | tensorflow.train.-nan-tensor-hook.pbtxt | 8 …argspec: "args=[\'self\', \'loss_tensor\', \'fail_on_nan_loss\'], varargs=None, keywords=None, def…
|
/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.estimator.-nan-tensor-hook.pbtxt | 8 …argspec: "args=[\'self\', \'loss_tensor\', \'fail_on_nan_loss\'], varargs=None, keywords=None, def…
|
/external/tensorflow/tensorflow/python/training/ |
D | basic_session_run_hooks.py | 735 def __init__(self, loss_tensor, fail_on_nan_loss=True): argument 742 self._loss_tensor = loss_tensor
|
/external/tensorflow/tensorflow/python/keras/engine/ |
D | base_layer.py | 741 loss_tensor = regularizer() 742 if loss_tensor is not None: 743 collected_losses.append(loss_tensor)
|
/external/tensorflow/tensorflow/contrib/learn/python/learn/ |
D | monitors.py | 1230 def __init__(self, loss_tensor, every_n_steps=100, fail_on_nan_loss=True): argument 1239 self._loss_tensor = loss_tensor
|