↓ 2 callersFunctionvisualize_(subplots, data, w=None, h=None, name=None,
display='on', size=10, text=None, normal=True,
emolga/utils/generic_utils.py:172
↓ 1 callersMethod__init__(self, target_dim, source_dim, hidden_dim,
init='glorot_uniform', name='attention',
emolga/layers/attention.py:12
↓ 1 callersMethod_step(self,
xz_t, xr_t, xh_t, mask_t,
h_tm1,
u_z, u_r, u_h)
emolga/layers/recurrent.py:115
↓ 1 callersMethod_step(self,
xz_t, xr_t, xh_t, mask_t,
h_tm1,
u_z, u_r, u_h)
emolga/layers/recurrent.py:307
↓ 1 callersMethod_step(self,
xi_t, xf_t, xo_t, xc_t, mask_t,
h_tm1, c_tm1,
u_i, u_f, u_o,
emolga/layers/recurrent.py:448
↓ 1 callersMethod_step(self, input_t, mask_t,
memory_tm1,
w_write_tm1, w_read_tm1,
control
emolga/layers/ntm_minibatch.py:252
↓ 1 callersMethod_step(self, input_t, mask_t,
memory_tm1,
w_write_tm1, w_read_tm1,
control
emolga/layers/ntm_minibatch.py:618
↓ 1 callersMethod_step_gate(self,
xz_t, xr_t, xh_t, mask_t,
h_tm1,
u_z, u_r, u_h
emolga/layers/recurrent.py:128
↓ 1 callersMethod_step_sample(self, prev_idx, prev_stat,
context, inputs, source, smask)
emolga/models/pointers.py:139