In short, if you had dependencies that looked like:

```Python
def my_dep():
    try:
        yield
    except SomeException:
        pass
```

Now you need to make sure you raise again after `except`, just as you would in regular Python:

```Python
def my_dep():
    try:
        yield
    except SomeException:
        raise
```

### Docs

    for more details.

## Deprecations

*   TensorFlow 1.2 may be the last time we build with cuDNN 5.1. Starting with
    TensorFlow 1.3, we will try to build all our prebuilt binaries with cuDNN
    6.0. While we will try to keep our source code compatible with cuDNN 5.1, it
    will be best effort.

## Breaking Changes to the API

exponentiation. On the other hand, it // requires computing a GCD of two values that are not coprime, and then // a division, both complex variable-time operations. λ, err := totient(P, Q) if err == errDivisorTooLarge { // The divisor is too large, try again with different primes. continue } if err != nil { return nil, err } e := bigmod.NewNat().SetUint(65537) d, ok := bigmod.NewNat().InverseVarTime(e, λ) if !ok { // This checks that GCD(e, lcm(p-1, q-1)) = 1, which is equivalent // to checking GCD(e,...

exponentiation. On the other hand, it // requires computing a GCD of two values that are not coprime, and then // a division, both complex variable-time operations. λ, err := totient(P, Q) if err == errDivisorTooLarge { // The divisor is too large, try again with different primes. continue } if err != nil { return nil, err } e := bigmod.NewNat().SetUint(65537) d, ok := bigmod.NewNat().InverseVarTime(e, λ) if !ok { // This checks that GCD(e, lcm(p-1, q-1)) = 1, which is equivalent // to checking GCD(e,...