control the initial parallelism setting used by autotune before the data
      pipeline has started running. The default is 16. A lower value reduces
      initial memory usage, while a higher value improves startup time.

## Keras

*  `keras.layers.experimental.DynamicEmbedding`
    * Added `DynamicEmbedding` Keras layer
    * Added 'UpdateEmbeddingCallback`

initialization penalties. var memory entropy.ScratchBuffer func getEntropy() *[SeedSize]byte { var retries int seed, err := entropy.Seed(&memory) for err != nil { // The CPU jitter-based SP 800-90B entropy source has a non-negligible // chance of failing the startup health tests. // // Each time it does, it enters a permanent failure state, and we // restart it anew. This is not expected to happen more than a few times // in a row. if retries++; retries > 100 { panic("fips140/drbg: failed to obtain initial entropy")...