experiments/STT-tensorflow
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jayanth 2020-03-05 15:48:53 -08:00
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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 shape
TensorFlow supports two execution modes: eager and graph. In eager
mode, operations are evaluated immediately. In graph mode, a
computational graph is constructed for later evaluation.
TensorFlow supports eager execution and graph execution. In eager
execution, operations are evaluated immediately. In graph
execution, a computational graph is constructed for later
evaluation.
Eager mode is the default mode in TensorFlow. In the example below,
the matrix multiplication results are calculated immediately.
TensorFlow defaults to eager execution. In the example below, the
matrix multiplication results are calculated immediately.
>>> # Compute some values using a Tensor
>>> c = tf.constant([[1.0, 2.0], [3.0, 4.0]])