tf.compat.v1.placeholder
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Inserts a placeholder for a tensor that will be always fed.
tf . compat . v1 . placeholder (
dtype , shape = None , name = None
)
Caution: This API was designed for TensorFlow v1.
Continue reading for details on how to migrate from this API to a native
TensorFlow v2 equivalent. See the
TensorFlow v1 to TensorFlow v2 migration guide
for instructions on how to migrate the rest of your code.
This API is not compatible with eager execution and tf.function
. To migrate
to TF2, rewrite the code to be compatible with eager execution. Check the
migration
guide
on replacing Session.run
calls. In TF2, you can just pass tensors directly
into ops and layers. If you want to explicitly set up your inputs, also see
Keras functional API on
how to use tf.keras.Input
to replace tf.compat.v1.placeholder
.
tf.function
arguments also do the job of tf.compat.v1.placeholder
.
For more details please read Better
performance with tf.function .
Description
Important: This tensor will produce an error if evaluated. Its value must
be fed using the feed_dict
optional argument to Session.run()
,
Tensor.eval()
, or Operation.run()
.
For example:
x = tf . compat . v1 . placeholder ( tf . float32 , shape = ( 1024 , 1024 ))
y = tf . matmul ( x , x )
with tf . compat . v1 . Session () as sess :
print ( sess . run ( y )) # ERROR: will fail because x was not fed.
rand_array = np . random . rand ( 1024 , 1024 )
print ( sess . run ( y , feed_dict = { x : rand_array })) # Will succeed.
Args
dtype
The type of elements in the tensor to be fed.
shape
The shape of the tensor to be fed (optional). If the shape is not
specified, you can feed a tensor of any shape.
name
A name for the operation (optional).
Returns
A Tensor
that may be used as a handle for feeding a value, but not
evaluated directly.
Raises
RuntimeError
if eager execution is enabled
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license .
Last updated 2023-03-17 UTC.
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