button and auto-reload, tooltips in scalar charts, run filtering, stable
    colors
*   Tensorboard graph visualizer now supports run metadata. Clicking on nodes
    while viewing a stats for a particular run will show runtime statistics,
    such as memory or compute usage. Unused nodes will be faded out.

## Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

	SHLW $7, DX, (BX)                       // 660fa41307
	SHLW $7, R11, (BX)                      // 66440fa41b07
	SHLW $7, DX, (R11)                      // 66410fa41307
	SHLW $7, R11, (R11)                     // 66450fa41b07
	SHLW $7, DX, DX                         // 660fa4d207
	SHLW $7, R11, DX                        // 66440fa4da07
	SHLW $7, DX, R11                        // 66410fa4d307

that counter is filled with // zeros on entry. func deriveCounterGeneric(H, counter *[gcmBlockSize]byte, nonce []byte) { // GCM has two modes of operation with respect to the initial counter // state: a "fast path" for 96-bit (12-byte) nonces, and a "slow path" // for nonces of other lengths. For a 96-bit nonce, the nonce, along // with a four-byte big-endian counter starting at one, is used // directly as the starting counter. For other nonce sizes, the counter // is computed by passing it through...

that counter is filled with // zeros on entry. func deriveCounterGeneric(H, counter *[gcmBlockSize]byte, nonce []byte) { // GCM has two modes of operation with respect to the initial counter // state: a "fast path" for 96-bit (12-byte) nonces, and a "slow path" // for nonces of other lengths. For a 96-bit nonce, the nonce, along // with a four-byte big-endian counter starting at one, is used // directly as the starting counter. For other nonce sizes, the counter // is computed by passing it through...