experiments/STT-tensorflow
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jayanth 2020-03-05 15:48:53 -08:00
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commit 15105513e9
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tensorflow/python/framework/ops.py
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@ -302,12 +302,13 @@ class Tensor(_TensorLike):
* a single data type (float32, int32, or string, for example) * a single data type (float32, int32, or string, for example)
* a shape * a shape
TensorFlow supports two execution modes: eager and graph. In eager TensorFlow supports eager execution and graph execution. In eager
mode, operations are evaluated immediately. In graph mode, a execution, operations are evaluated immediately. In graph
computational graph is constructed for later evaluation. execution, a computational graph is constructed for later
evaluation.
Eager mode is the default mode in TensorFlow. In the example below, TensorFlow defaults to eager execution. In the example below, the
the matrix multiplication results are calculated immediately. matrix multiplication results are calculated immediately.
>>> # Compute some values using a Tensor >>> # Compute some values using a Tensor
>>> c = tf.constant([[1.0, 2.0], [3.0, 4.0]]) >>> c = tf.constant([[1.0, 2.0], [3.0, 4.0]])