core.ResourceMemory:                   resource.MustParse("10000"),
			core.ResourceRequestsCPU:              resource.MustParse("100"),
			core.ResourceRequestsMemory:           resource.MustParse("10000"),
			core.ResourceLimitsCPU:                resource.MustParse("100"),
			core.ResourceLimitsMemory:             resource.MustParse("10000"),
			core.ResourcePods:                     resource.MustParse("10"),

	WSABASEERR                                                                syscall.Errno = 10000
	WSAEINTR                                                                  syscall.Errno = 10004
	WSAEBADF                                                                  syscall.Errno = 10009
	WSAEACCES                                                                 syscall.Errno = 10013

FFFE..FFFF    ; disallowed                             # 1.1  <noncharacter-FFFE>..<noncharacter-FFFF>
10000..1000B  ; valid                                  # 4.0  LINEAR B SYLLABLE B008 A..LINEAR B SYLLABLE B046 JE
1000C         ; disallowed                             # NA   <reserved-1000C>
1000D..10026  ; valid                                  # 4.0  LINEAR B SYLLABLE B036 JO..LINEAR B SYLLABLE B032 QO

of the Prism was 62-1/2 Degrees, the half of that Angle 31 deg. 15 min.
is the Angle of Incidence of the Rays at their going out of the Glass
into the Air[F]; and the Sine of this Angle is 5188, the Radius being
10000. When the Axis of this Prism was parallel to the Horizon, and the
Refraction of the Rays at their Incidence on this Prism equal to that at
their Emergence out of it, I observed with a Quadrant the Angle which

 * $ x $ if $ x >= 0 $

Examples:

>>> tf.nn.elu(1.0)
<tf.Tensor: shape=(), dtype=float32, numpy=1.0>
>>> tf.nn.elu(0.0)
<tf.Tensor: shape=(), dtype=float32, numpy=0.0>
>>> tf.nn.elu(-1000.0)
<tf.Tensor: shape=(), dtype=float32, numpy=-1.0>

See [Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
](http://arxiv.org/abs/1511.07289)
  }];

  let arguments = (ins