* Add an option `disable_eager_executer_streaming_enqueue` to `tensorflow.ConfigProto.Experimental` to control the eager runtime's behavior around parallel remote function invocations; when set to `True`, the eager runtime will be allowed to execute multiple function invocations in parallel.

* `tf.constant_initializer`

panic("crypto/cipher: incorrect nonce length given to GCM") } if fips140.Enabled { if !g.prefixReady { // The first invocation sets the fixed prefix. g.prefixReady = true g.prefix = byteorder.BEUint32(nonce[:4]) } if g.prefix != byteorder.BEUint32(nonce[:4]) { panic("crypto/cipher: GCM nonce prefix changed") } counter := byteorder.BEUint64(nonce[len(nonce)-8:]) if !g.startReady { // The first invocation sets the starting counter, if not fixed. g.startReady = true g.start = counter } counter -= g.start // Ensure...

*GCMWithCounterNonce) Seal(dst, nonce, plaintext, data []byte) []byte { if len(nonce) != gcmStandardNonceSize { panic("crypto/cipher: incorrect nonce length given to GCM") } counter := byteorder.BEUint64(nonce[len(nonce)-8:]) if !g.ready { // The first invocation sets the fixed name encoding and start counter. g.ready = true g.start = counter g.fixedName = byteorder.BEUint32(nonce[:4]) } if g.fixedName != byteorder.BEUint32(nonce[:4]) { panic("crypto/cipher: incorrect module name given to GCMWithCounterNonce")...