tf.compat.v1.placeholder
Inserts a placeholder for a tensor that will be always fed.
tf.compat.v1.placeholder(
dtype, shape=None, name=None
)
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 |
Eager Compatibility
Placeholders are not compatible with eager execution.
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/placeholder