TensorFlow’s Experimental NumPy Interface Brings Familiarity to Deep Learning

Content Overview Overview Setup Enabling NumPy behavior TensorFlow NumPy ND array Type promotion Broadcasting Indexing Example Model TensorFlow NumPy and NumPy NumPy interoperability Buffer copies Operator precedence Overview TensorFlow implements a subset of the NumPy API, available as tf.experimental.numpy. This allows running NumPy code, accelerated by TensorFlow, while also allowing access to all of TensorFlow’s APIs. Setup … Read more

Improvements in TensorFlow Type Promotion Reduce Bit-Widening Risks

Content Overview Effects of turning on the new type promotion More consistent and predictable promotion type Reduced risk of bit-widening tf.Tensor mathematical dunder methods tf.Variable in-place ops tf.constant implicit conversions TF-NumPay Array Input Type Inference WeakTensor-supporting APIs Below is a non-exhaustive list of changes that result from turning on the new type promotion. More consistent … Read more