tf.get_static_value
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Returns the constant value of the given tensor, if efficiently calculable.
tf.get_static_value(
tensor, partial=False
)
This function attempts to partially evaluate the given tensor, and
returns its value as a numpy ndarray if this succeeds.
Compatibility(V1): If constant_value(tensor) returns a non-None result, it
will no longer be possible to feed a different value for tensor. This allows
the result of this function to influence the graph that is constructed, and
permits static shape optimizations.
Args |
|---|
tensor
|
The Tensor to be evaluated.
|
partial
|
If True, the returned numpy array is allowed to have partially
evaluated values. Values that can't be evaluated will be None.
|
Returns |
|---|
A numpy ndarray containing the constant value of the given tensor,
or None if it cannot be calculated.
|
Raises |
|---|
TypeError
|
if tensor is not an ops.Tensor.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.get_static_value\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/get_static_value) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.0.0/tensorflow/python/framework/tensor_util.py#L767-L802) |\n\nReturns the constant value of the given tensor, if efficiently calculable.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.get_static_value`](/api_docs/python/tf/get_static_value)\n\n\u003cbr /\u003e\n\n tf.get_static_value(\n tensor, partial=False\n )\n\nThis function attempts to partially evaluate the given tensor, and\nreturns its value as a numpy ndarray if this succeeds.\n\nCompatibility(V1): If `constant_value(tensor)` returns a non-`None` result, it\nwill no longer be possible to feed a different value for `tensor`. This allows\nthe result of this function to influence the graph that is constructed, and\npermits static shape optimizations.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----------|-------------------------------------------------------------------------------------------------------------------------------|\n| `tensor` | The Tensor to be evaluated. |\n| `partial` | If True, the returned numpy array is allowed to have partially evaluated values. Values that can't be evaluated will be None. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A numpy ndarray containing the constant value of the given `tensor`, or None if it cannot be calculated. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|-------------|---------------------------------|\n| `TypeError` | if tensor is not an ops.Tensor. |\n\n\u003cbr /\u003e"]]
TensorFlow 1 version
View source on GitHub