Inserts a placeholder for a tensor that will be always fed.
tf.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.