tf.compat.v1.get_session_tensor
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Get the tensor of type dtype by feeding a tensor handle.
tf.compat.v1.get_session_tensor(
handle, dtype, name=None
)
This is EXPERIMENTAL and subject to change.
Get the value of the tensor from a tensor handle. The tensor
is produced in a previous run() and stored in the state of the
session.
Args |
|---|
handle
|
The string representation of a persistent tensor handle.
|
dtype
|
The type of the output tensor.
|
name
|
Optional name prefix for the return tensor.
|
Returns |
|---|
|
A pair of tensors. The first is a placeholder for feeding a
tensor handle and the second is the tensor in the session state
keyed by the tensor handle.
|
Example:
c = tf.multiply(a, b)
h = tf.compat.v1.get_session_handle(c)
h = sess.run(h)
p, a = tf.compat.v1.get_session_tensor(h.handle, tf.float32)
b = tf.multiply(a, 10)
c = sess.run(b, feed_dict={p: h.handle})
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.compat.v1.get_session_tensor\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/session_ops.py#L178-L216) |\n\nGet the tensor of type `dtype` by feeding a tensor handle. \n\n tf.compat.v1.get_session_tensor(\n handle, dtype, name=None\n )\n\nThis is EXPERIMENTAL and subject to change.\n\nGet the value of the tensor from a tensor handle. The tensor\nis produced in a previous run() and stored in the state of the\nsession.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------|----------------------------------------------------------|\n| `handle` | The string representation of a persistent tensor handle. |\n| `dtype` | The type of the output tensor. |\n| `name` | Optional name prefix for the return tensor. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A pair of tensors. The first is a placeholder for feeding a tensor handle and the second is the tensor in the session state keyed by the tensor handle. ||\n\n\u003cbr /\u003e\n\n#### Example:\n\n c = tf.multiply(a, b)\n h = tf.compat.v1.get_session_handle(c)\n h = sess.run(h)\n\n p, a = tf.compat.v1.get_session_tensor(h.handle, tf.float32)\n b = tf.multiply(a, 10)\n c = sess.run(b, feed_dict={p: h.handle})"]]
View source on GitHub