SYMBOL INDEX (202 symbols across 37 files)

FILE: neuralDX7/constants.py
  function take (line 6) | def take(take_from, n):
  function checksum (line 13) | def checksum(data):
  function verify (line 75) | def verify(actual, ranges):
  class DX7Single (line 259) | class DX7Single():
    method keys (line 319) | def keys():
    method struct (line 328) | def struct():
    method to_syx (line 333) | def to_syx(voices):
  function consume_syx (line 351) | def consume_syx(path):

FILE: neuralDX7/datasets/dx7_sysex_dataset.py
  class DX7SysexDataset (line 9) | class DX7SysexDataset():
    method __init__ (line 15) | def __init__(self, data_file='dx7.npy', root=DEFAULTS['ARTIFACTS_ROOT'...
    method __getitem__ (line 32) | def __getitem__(self, index):
    method __len__ (line 39) | def __len__(self):

FILE: neuralDX7/models/attention/attention.py
  class Attention (line 4) | class Attention(nn.Module):
    method __init__ (line 8) | def __init__(self, n_features, n_hidden, n_heads=8, inf=1e9):
    method inf (line 22) | def inf(self):
    method forward (line 27) | def forward(self, X, A):

FILE: neuralDX7/models/attention/attention_encoder.py
  class ResidualAttentionEncoder (line 12) | class ResidualAttentionEncoder(AbstractModel):
    method __init__ (line 17) | def __init__(self, features, attention_layer, max_len=200, n_layers=3):
    method forward (line 39) | def forward(self, X, A):

FILE: neuralDX7/models/attention/attention_layer.py
  class AttentionLayer (line 8) | class AttentionLayer(nn.Module):
    method __init__ (line 14) | def __init__(self, features, hidden_dim, attention):
    method forward (line 35) | def forward(self, X, A):

FILE: neuralDX7/models/attention/conditional_attention_encoder.py
  class CondtionalResidualAttentionEncoder (line 13) | class CondtionalResidualAttentionEncoder(AbstractModel):
    method __init__ (line 18) | def __init__(self, features, c_features, attention_layer, max_len=200,...
    method forward (line 42) | def forward(self, X, A, c):

FILE: neuralDX7/models/dx7_cnp.py
  class DX7PatchProcess (line 10) | class DX7PatchProcess(AbstractModel):
    method __init__ (line 17) | def __init__(self, features, encoder):
    method forward (line 26) | def forward(self, X):
    method features (line 51) | def features(self, X):
    method generate (line 63) | def generate(self, X, X_a):

FILE: neuralDX7/models/dx7_np.py
  class DX7NeuralProcess (line 13) | class DX7NeuralProcess(AbstractModel):
    method __init__ (line 19) | def __init__(self, features, latent_dim, encoder, decoder, determinist...
    method latent_encoder (line 34) | def latent_encoder(self,  X, A, mean=False):
    method forward (line 41) | def forward(self, X):
    method features (line 77) | def features(self, X, X_a):
    method generate_z (line 89) | def generate_z(self, X, X_a, z, t=1.):
    method generate (line 107) | def generate(self, X, X_a, sample=True, t=1.):

FILE: neuralDX7/models/dx7_nsp.py
  class DX7NeuralSylvesterProcess (line 13) | class DX7NeuralSylvesterProcess(AbstractModel):
    method __init__ (line 19) | def __init__(self, features, latent_dim, encoder, decoder, determinist...
    method latent_encoder (line 34) | def latent_encoder(self,  X, A, z=None, flow=True):
    method forward (line 41) | def forward(self, X):
    method features (line 78) | def features(self, X, X_a):
    method generate_z (line 90) | def generate_z(self, X, X_a, z, t=1.):
    method generate (line 108) | def generate(self, X, X_a, sample=True, t=1.):

FILE: neuralDX7/models/dx7_vae.py
  class DX7VAE (line 13) | class DX7VAE(AbstractModel):
    method __init__ (line 20) | def __init__(self, features, latent_dim, encoder, decoder, num_flows=3):
    method latent_encoder (line 43) | def latent_encoder(self,  X, A, z=None, mean=False):
    method forward (line 58) | def forward(self, X):
    method features (line 86) | def features(self, X):
    method generate (line 103) | def generate(self, z, t=1.):

FILE: neuralDX7/models/general/gelu_ff.py
  class FeedForwardGELU (line 4) | class FeedForwardGELU(nn.Module):
    method __init__ (line 10) | def __init__(self, features, out_features=None, exapnsion_factor=3):
    method forward (line 26) | def forward(self, x):

FILE: neuralDX7/models/stochastic_nodes/normal.py
  class NormalNode (line 6) | class NormalNode(nn.Module):
    method __init__ (line 16) | def __init__(self, in_features, latent_dim, hidden_dim=None):
    method forward (line 34) | def forward(self, x, *args, **kwargs):

FILE: neuralDX7/models/stochastic_nodes/triangular_sylvester.py
  class TriangularSylvester (line 15) | class TriangularSylvester(nn.Module):
    method __init__ (line 20) | def __init__(self, z_size):
    method der_h (line 30) | def der_h(self, x):
    method der_tanh (line 33) | def der_tanh(self, x):
    method forward (line 36) | def forward(self, zk, r1, r2, b, permute_z=None, sum_ldj=True):
  class TriangularSylvesterFlow (line 90) | class TriangularSylvesterFlow(nn.Module):
    method __init__ (line 96) | def __init__(self, in_features, latent_dim, num_flows):
    method flow_params (line 122) | def flow_params(self, h):
    method forward (line 145) | def forward(self, h, z=None, flow=True):

FILE: neuralDX7/models/utils.py
  function position_encoding_init (line 5) | def position_encoding_init(n_position, emb_dim):

FILE: neuralDX7/solvers/dx7_np.py
  class DX7NeuralProcess (line 11) | class DX7NeuralProcess(AbstractSolver):
    method __init__ (line 16) | def __init__(self, model,
    method loss (line 33) | def loss(self, x, x_hat, x_a, q_context, q_target, z):
    method solve (line 62) | def solve(self, x, **kwargs):
    method step (line 79) | def step(self):
    method state_dict (line 84) | def state_dict(self):
    method load_state_dict (line 93) | def load_state_dict(self, state_dict):

FILE: neuralDX7/solvers/dx7_nsp.py
  class DX7NeuralSylvesterProcess (line 11) | class DX7NeuralSylvesterProcess(AbstractSolver):
    method __init__ (line 16) | def __init__(self, model,
    method loss (line 32) | def loss(self, X, X_hat, X_a, flow_context, flow_target):
    method solve (line 61) | def solve(self, X, **kwargs):
    method step (line 78) | def step(self):
    method state_dict (line 83) | def state_dict(self):
    method load_state_dict (line 92) | def load_state_dict(self, state_dict):

FILE: neuralDX7/solvers/dx7_patch_process.py
  class DX7PatchProcess (line 10) | class DX7PatchProcess(AbstractSolver):
    method __init__ (line 15) | def __init__(self, model,
    method loss (line 28) | def loss(self, x, x_hat, x_a):
    method solve (line 44) | def solve(self, x, **kwargs):
    method step (line 61) | def step(self):
    method state_dict (line 66) | def state_dict(self):
    method load_state_dict (line 74) | def load_state_dict(self, state_dict):

FILE: neuralDX7/solvers/dx7_vae.py
  class DX7VAE (line 11) | class DX7VAE(AbstractSolver):
    method __init__ (line 16) | def __init__(self, model,
    method loss (line 32) | def loss(self, X, X_hat, flow):
    method solve (line 65) | def solve(self, X, **kwargs):
    method step (line 86) | def step(self):
    method state_dict (line 90) | def state_dict(self):
    method load_state_dict (line 99) | def load_state_dict(self, state_dict):

FILE: neuralDX7/solvers/utils.py
  function sigmoidal_annealing (line 4) | def sigmoidal_annealing(iter_nb, t=1e-4, s=-6):

FILE: neuralDX7/utils.py
  function mask_parameters (line 12) | def mask_parameters(x, voice_keys=VOICE_KEYS, inf=1e9):
  function consume_syx (line 25) | def consume_syx(path):
  function dx7_bulk_pack (line 55) | def dx7_bulk_pack(voices):
  function generate_syx (line 73) | def generate_syx(patch_list):

FILE: projects/dx7_np/experiment.py
  function config (line 14) | def config(experiment_name, trial_name,

FILE: projects/dx7_np/live.py
  function slerp (line 53) | def slerp(val, low, high):
  function process (line 78) | def process(frames):
  function samplerate (line 179) | def samplerate(samplerate):
  function shutdown (line 185) | def shutdown(status, reason):

FILE: projects/dx7_nsp/experiment.py
  function config (line 14) | def config(experiment_name, trial_name,

FILE: projects/dx7_nsp/live.py
  function slerp (line 53) | def slerp(val, low, high):
  function process (line 78) | def process(frames):
  function samplerate (line 180) | def samplerate(samplerate):
  function shutdown (line 186) | def shutdown(status, reason):

FILE: projects/dx7_patch_neural_process/ray_train.py
  function config (line 16) | def config(experiment_name, trial_name,

FILE: projects/dx7_vae/experiment.py
  function config (line 14) | def config(experiment_name, trial_name,

FILE: projects/dx7_vae/live.py
  function slerp (line 41) | def slerp(val, low, high):
  function process (line 66) | def process(frames):
  function samplerate (line 117) | def samplerate(samplerate):
  function shutdown (line 123) | def shutdown(status, reason):

FILE: projects/mnist_neural_process/experiment.py
  class MNISTDataset (line 26) | class MNISTDataset():
    method __init__ (line 28) | def __init__(self, data_path=DEFAULTS['ARTIFACTS_ROOT'], transform=None):
    method __getitem__ (line 43) | def __getitem__(self, i):
    method __len__ (line 51) | def __len__(self):
  function config (line 61) | def config(experiment_name, trial_name,

FILE: scratch/dx7_constants.py
  function take (line 6) | def take(take_from, n):
  function checksum (line 13) | def checksum(data):
  function verify (line 75) | def verify(actual, ranges):

FILE: scratch/dx7_syx.py
  function consume_syx (line 13) | def consume_syx(path):

FILE: scratch/fm_param_ae.py
  class DX7Dataset (line 30) | class DX7Dataset():
    method __init__ (line 33) | def __init__(self, data_file='dx7.npy', root=ARTIFACTS_ROOT):
    method __getitem__ (line 41) | def __getitem__(self, index):
    method __len__ (line 46) | def __len__(self):
  class Net (line 51) | class Net(nn.Module):
    method __init__ (line 52) | def __init__(self, latent_dim=16, n_params=N_PARAMS, max_value=MAX_VAL...
    method generate_mask (line 77) | def generate_mask():
    method forward (line 84) | def forward(self, x):
  function train (line 97) | def train(model, device, train_loader, optimizer, epoch):
  function test (line 112) | def test(model, device, test_loader):

FILE: scratch/fm_param_agoge_vae_rnn.py
  class DX7Dataset (line 40) | class DX7Dataset():
    method __init__ (line 43) | def __init__(self, data_file='dx7.npy', root=ARTIFACTS_ROOT, data_size...
    method __getitem__ (line 54) | def __getitem__(self, index):
    method __len__ (line 60) | def __len__(self):
  class DX7RecurrentVAE (line 67) | class DX7RecurrentVAE(AbstractModel):
    method __init__ (line 68) | def __init__(self, latent_dim=8, n_params=N_PARAMS, max_value=MAX_VALU...
    method network (line 105) | def network(self, x, network):
    method generate_mask (line 127) | def generate_mask(ordering=None):
    method forward (line 141) | def forward(self, x):
    method generate (line 172) | def generate(self, z, t=1.):
  class DX7RecurrentVAESolver (line 183) | class DX7RecurrentVAESolver(AbstractSolver):
    method __init__ (line 185) | def __init__(self, model,
    method beta (line 201) | def beta(self):
    method scheduler (line 206) | def scheduler():
    method loss (line 220) | def loss(self, x, x_hat, q_z, z):
    method solve (line 248) | def solve(self, x, **kwargs):
    method step (line 267) | def step(self):
    method state_dict (line 272) | def state_dict(self):
    method load_state_dict (line 280) | def load_state_dict(self, state_dict):
  function config (line 287) | def config(experiment_name, trial_name, batch_size=16, **kwargs):

FILE: scratch/fm_param_rnn_decoder.py
  class DX7Dataset (line 27) | class DX7Dataset():
    method __init__ (line 30) | def __init__(self, data_file='dx7.npy', root=ARTIFACTS_ROOT):
    method __getitem__ (line 38) | def __getitem__(self, index):
    method __len__ (line 43) | def __len__(self):
  class Net (line 50) | class Net(nn.Module):
    method __init__ (line 51) | def __init__(self, latent_dim=8, n_params=N_PARAMS, max_value=MAX_VALUE):
    method network (line 68) | def network(self, x, network):
    method generate_mask (line 87) | def generate_mask():
    method forward (line 94) | def forward(self, x):
    method generate (line 105) | def generate(self, z, t=1.):
  function train (line 115) | def train(model, device, train_loader, optimizer, epoch):
  function test (line 131) | def test(model, device, test_loader):
  function scheduler (line 160) | def scheduler():

FILE: scratch/fm_param_vae.py
  class DX7Dataset (line 27) | class DX7Dataset():
    method __init__ (line 30) | def __init__(self, data_file='dx7.npy', root=ARTIFACTS_ROOT):
    method __getitem__ (line 38) | def __getitem__(self, index):
    method __len__ (line 43) | def __len__(self):
  class Net (line 50) | class Net(nn.Module):
    method __init__ (line 51) | def __init__(self, latent_dim=8, n_params=N_PARAMS, max_value=MAX_VALUE):
    method generate_mask (line 76) | def generate_mask():
    method forward (line 83) | def forward(self, x):
    method generate (line 99) | def generate(self, z, t=1.):
  function train (line 109) | def train(model, device, train_loader, optimizer, epoch):
  function test (line 129) | def test(model, device, test_loader):

FILE: scratch/fm_param_vae_rnn.py
  class DX7Dataset (line 27) | class DX7Dataset():
    method __init__ (line 30) | def __init__(self, data_file='dx7.npy', root=ARTIFACTS_ROOT):
    method __getitem__ (line 38) | def __getitem__(self, index):
    method __len__ (line 43) | def __len__(self):
  class Net (line 50) | class Net(nn.Module):
    method __init__ (line 51) | def __init__(self, latent_dim=8, n_params=N_PARAMS, max_value=MAX_VALU...
    method network (line 80) | def network(self, x, network):
    method generate_mask (line 102) | def generate_mask():
    method forward (line 109) | def forward(self, x):
    method generate (line 134) | def generate(self, z, t=1.):
  function train (line 144) | def train(model, device, train_loader, optimizer, epoch):
  function test (line 166) | def test(model, device, test_loader):
  function scheduler (line 198) | def scheduler():

FILE: scratch/syx_parser.py
  function uuid (line 12) | def uuid():
  function verify (line 76) | def verify(actual, ranges, prefix=None):
  function consume_head (line 94) | def consume_head(sysex_iter):
  function consume_osc (line 132) | def consume_osc(sysex_iter):
  function consume_global (line 229) | def consume_global(sysex_iter):
  function consume_syx (line 327) | def consume_syx(path):

FILE: scratch/syx_write.py
  function checksum (line 19) | def checksum(data):
  function encode_head (line 24) | def encode_head():
  function encode_osc (line 61) | def encode_osc(params, n):
  function encode_global (line 127) | def encode_global(params):
  function encode_syx (line 201) | def encode_syx(params_list):