138 lines
2.0 KiB
Python
138 lines
2.0 KiB
Python
import jax
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import jax.numpy as jnp
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from jax import jit
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@jit
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def sigmoid_act(z):
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z = jnp.clip(z * 5, -60, 60)
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return 1 / (1 + jnp.exp(-z))
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@jit
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def tanh_act(z):
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z = jnp.clip(z * 2.5, -60, 60)
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return jnp.tanh(z)
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@jit
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def sin_act(z):
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z = jnp.clip(z * 5, -60, 60)
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return jnp.sin(z)
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@jit
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def gauss_act(z):
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z = jnp.clip(z, -3.4, 3.4)
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return jnp.exp(-5 * z ** 2)
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@jit
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def relu_act(z):
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return jnp.maximum(z, 0)
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@jit
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def elu_act(z):
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return jnp.where(z > 0, z, jnp.exp(z) - 1)
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@jit
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def lelu_act(z):
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leaky = 0.005
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return jnp.where(z > 0, z, leaky * z)
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@jit
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def selu_act(z):
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lam = 1.0507009873554804934193349852946
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alpha = 1.6732632423543772848170429916717
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return jnp.where(z > 0, lam * z, lam * alpha * (jnp.exp(z) - 1))
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@jit
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def softplus_act(z):
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z = jnp.clip(z * 5, -60, 60)
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return 0.2 * jnp.log(1 + jnp.exp(z))
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@jit
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def identity_act(z):
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return z
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@jit
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def clamped_act(z):
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return jnp.clip(z, -1, 1)
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@jit
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def inv_act(z):
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z = jnp.maximum(z, 1e-7)
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return 1 / z
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@jit
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def log_act(z):
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z = jnp.maximum(z, 1e-7)
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return jnp.log(z)
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@jit
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def exp_act(z):
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z = jnp.clip(z, -60, 60)
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return jnp.exp(z)
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@jit
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def abs_act(z):
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return jnp.abs(z)
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@jit
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def hat_act(z):
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return jnp.maximum(0, 1 - jnp.abs(z))
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@jit
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def square_act(z):
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return z ** 2
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@jit
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def cube_act(z):
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return z ** 3
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ACT_TOTAL_LIST = [sigmoid_act, tanh_act, sin_act, gauss_act, relu_act, elu_act, lelu_act, selu_act, softplus_act,
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identity_act, clamped_act, inv_act, log_act, exp_act, abs_act, hat_act, square_act, cube_act]
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act_name2key = {
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'sigmoid': 0,
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'tanh': 1,
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'sin': 2,
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'gauss': 3,
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'relu': 4,
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'elu': 5,
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'lelu': 6,
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'selu': 7,
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'softplus': 8,
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'identity': 9,
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'clamped': 10,
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'inv': 11,
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'log': 12,
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'exp': 13,
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'abs': 14,
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'hat': 15,
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'square': 16,
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'cube': 17,
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}
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@jit
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def act(idx, z):
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idx = jnp.asarray(idx, dtype=jnp.int32)
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# change idx from float to int
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return jax.lax.switch(idx, ACT_TOTAL_LIST, z)
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