TF1 had sess.run()
and .eval()
to get values of tensors - and Keras had K.get_value()
; now, neither work the same (former two at all).
K.eager(K.get_value)(tensor)
appears to work inside Keras graph by exiting it, and K.get_value(tensor)
outside the graph - both w/ TF2's default eagerly (which is off in former). However, this fails if tensor
is a Keras backend operation :
import keras.backend as K
def tensor_info(x):
print(x)
print("Type: %s" % type(x))
try:
x_value = K.get_value(x)
except:
try: x_value = K.eager(K.get_value)(x)
except: x_value = x.numpy()
print("Value: %s" % x_value) # three methods
ones = K.ones(1)
ones_sqrt = K.sqrt(ones)
tensor_info(ones); print()
tensor_info(ones_sqrt)
<tf.Variable 'Variable:0' shape=(1,) dtype=float32, numpy=array([1.], dtype=float32)>
Type: <class 'tensorflow.python.ops.resource_variable_ops.ResourceVariable'>
Value: [1.]
Tensor("Sqrt:0", shape=(1,), dtype=float32)
Type: <class 'tensorflow.python.framework.ops.Tensor'>
# third print fails w/ below
AttributeError: 'Tensor' object has no attribute 'numpy'
tf.keras
.
Is there a way to get Keras 2.3 tensor values in TensorFlow 2.0 while retaining backend-neutrality?
I think you want K.eval
:
>>> v = K.ones(1)
>>> K.eval(v)
array([1.], dtype=float32)
>>> K.eval(K.sqrt(v))
array([1.], dtype=float32)
Note that K.get_value
is reserved for use with variables (eg v
here) while K.eval
works with any tensor.
Per my PR , this is the more reliable (but not guaranteed) workaround:
def K_eval(x):
try:
return K.get_value(K.to_dense(x))
except:
eval_fn = K.function([], [x])
return eval_fn([])[0]
Update : mind the distrubution context under which a Tensor
is to be evaluated; in TF2.2, a tf.Variable
or tf.Tensor
created under tf.python.distribute.distribution_strategy_context.in_replica_context() == True
will fail any K.eval
-etc attempts. Looks like tensors simply aren't meant to be evaluated there.
I think what you are looking for is tf.keras.backend.get_value
API.
print(x)
>>tf.Tensor([1.], shape=(1,), dtype=float32)
print(tf.keras.backend.get_value(x))
>>[1.]
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.