def encode(self, x):
h = F.crelu(self.qlin0(x))
for i in range(self.num_layers-1):
layer_name = 'qlin' + str(i+1)
h = F.crelu(self[layer_name](h))
self.qmu = self.qlin_mu(h)
self.qln_var = self.qlin_ln_var(h)
python类crelu()的实例源码
def decode(self, z):
h = F.crelu(self.plin0(z))
for i in range(self.num_layers-1):
layer_name = 'plin' + str(i+1)
h = F.crelu(self[layer_name](h))
self.p_ber_prob_logit = self.plin_ber_prob(h)
def encode(self, x):
h = F.crelu(self.qlin0(x))
for i in range(self.num_layers-1):
layer_name = 'qlin' + str(i+1)
h = F.crelu(self[layer_name](h))
self.qmu = self.qlin_mu(h)
self.qln_var = self.qlin_ln_var(h)
self.qh = self.qlin_h(h)
def decode(self, z):
h = F.crelu(self.plin0(z))
for i in range(self.num_layers-1):
layer_name = 'plin' + str(i+1)
h = F.crelu(self[layer_name](h))
self.pmu = self.plin_mu(h)
self.pln_var = self.plin_ln_var(h)
def encode(self, x):
h = F.crelu(self.qlin0(x))
for i in range(self.num_layers-1):
layer_name = 'qlin' + str(i+1)
h = F.crelu(self[layer_name](h))
self.qmu = self.qlin_mu(h)
self.qln_var = self.qlin_ln_var(h)
def decode(self, z):
h = F.crelu(self.plin0(z))
for i in range(self.num_layers-1):
layer_name = 'plin' + str(i+1)
h = F.crelu(self[layer_name](h))
self.pmu = self.plin_mu(h)
self.pln_var = self.plin_ln_var(h)
def encode(self, x):
h = self.qlin0(x)
h = self.qlin_batch_norm_0(h)
h = F.crelu(h)
for i in range(self.num_layers-1):
layer_name = 'qlin' + str(i+1)
h = self[layer_name](h)
layer_name = 'qlin_batch_norm_' + str(i+1)
h = self[layer_name](h)
h = F.crelu(h)
self.qmu = self.qlin_mu(h)
self.qln_var = self.qlin_ln_var(h)
def decode(self, z):
h = self.plin0(z)
h = self.plin_batch_norm_0(h)
h = F.crelu(h)
for i in range(self.num_layers-1):
layer_name = 'plin' + str(i+1)
h = self[layer_name](h)
layer_name = 'plin_batch_norm_' + str(i+1)
h = self[layer_name](h)
h = F.crelu(h)
self.p_ber_prob_logit = self.plin_ber_prob(h)
def encode_a(self, x):
a_params = F.crelu(self.qlina0(x))
for i in range(self.num_layers-1):
layer_name = 'qlina' + str(i+1)
a_params = F.crelu(self[layer_name](a_params))
self.qmu_a = self.qlina_mu(a_params)
self.qln_var_a = self.qlina_ln_var(a_params)
return self.qmu_a, self.qln_var_a
def encode_z(self, x, a):
# a = F.gaussian(self.qmu_a, self.qln_var_a) # This should be outside the encoding function. Pass the function a.
net_input = F.concat((x,a), axis=1)
h = F.crelu(self.qlinz0(net_input))
for i in range(self.num_layers-1):
layer_name = 'qlinz' + str(i+1)
h = F.crelu(self[layer_name](h))
self.qmu_z = self.qlinz_mu(h)
self.qln_var_z = self.qlinz_ln_var(h)
return self.qmu_z, self.qln_var_z
def decode_a(self, z):
# net_input = F.concat((x,z), axis=1)
h = F.crelu(self.plina0(z))
for i in range(self.num_layers-1):
layer_name = 'plina' + str(i+1)
h = F.crelu(self[layer_name](h))
self.pmu_a = self.plina_mu(h)
self.pln_var_a = self.plina_ln_var(h)
return self.pmu_a, self.pln_var_a
def encode(self, x):
h = F.crelu(self.qlin0(x))
for i in range(self.num_layers-1):
layer_name = 'qlin' + str(i+1)
h = F.crelu(self[layer_name](h))
self.qmu = self.qlin_mu(h)
self.qln_var = self.qlin_ln_var(h)
self.qh_vec_0 = self.qlin_h_vec_0(h)
return self.qmu, self.qln_var, self.qh_vec_0
def decode(self, z):
h = F.crelu(self.plin0(z))
for i in range(self.num_layers-1):
layer_name = 'plin' + str(i+1)
h = F.crelu(self[layer_name](h))
self.p_ber_prob_logit = self.plin_ber_prob(h)
return self.p_ber_prob_logit
def encode(self, x):
h = F.crelu(self.qlin0(x))
for i in range(self.num_layers-1):
layer_name = 'qlin' + str(i+1)
h = F.crelu(self[layer_name](h))
self.qmu = self.qlin_mu(h)
self.qln_var = self.qlin_ln_var(h)
return self.qmu, self.qln_var
def encode(self, x):
h = self.qlin0(x)
h = self.qlin_batch_norm_0(h)
h = F.crelu(h)
for i in range(self.num_layers-1):
layer_name = 'qlin' + str(i+1)
h = self[layer_name](h)
layer_name = 'qlin_batch_norm_' + str(i+1)
h = self[layer_name](h)
h = F.crelu(h)
self.qmu = self.qlin_mu(h)
self.qln_var = self.qlin_ln_var(h)
def decode(self, z):
h = self.plin0(z)
h = self.plin_batch_norm_0(h)
h = F.crelu(h)
for i in range(self.num_layers-1):
layer_name = 'plin' + str(i+1)
h = self[layer_name](h)
layer_name = 'plin_batch_norm_' + str(i+1)
h = self[layer_name](h)
h = F.crelu(h)
self.p_ber_prob_logit = self.plin_ber_prob(h)
def encode(self, x):
h = F.crelu(self.qlin0(x))
for i in range(self.num_layers-1):
layer_name = 'qlin' + str(i+1)
h = F.crelu(self[layer_name](h))
self.qmu = self.qlin_mu(h)
self.qln_var = self.qlin_ln_var(h)
return self.qmu, self.qln_var
def decode(self, z):
h = F.crelu(self.plin0(z))
for i in range(self.num_layers-1):
layer_name = 'plin' + str(i+1)
h = F.crelu(self[layer_name](h))
self.p_ber_prob_logit = self.plin_ber_prob(h)
return self.p_ber_prob_logit
def __call__(self, x):
return functions.crelu(x, self.axis)
def __init__(self, axis=1):
self._function = "crelu"
self.axis = axis
