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nsynth generate.py not work #63

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ruiguo-bio opened this issue Feb 8, 2019 · 3 comments
Open

nsynth generate.py not work #63

ruiguo-bio opened this issue Feb 8, 2019 · 3 comments
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@jesseengel

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@ruiguo-bio
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I want to one instrument at a corner, in total 4 instruments, and not a multi-grid. I try two configs, but both failed. I add some print in generate.py to debug.

I’ve tried that before, and I add some print in the generate.py. Here is the result for the two different configs:

First config:

{
"instruments": [["single"],
["chorus"],
["bird1"],
["bird5"]],

"checkpoint_dir":"wavenet-ckpt",
"pitches":      [36, 40, 44, 48, 52, 56],
"resolution":              9,
"final_length":            64000,
"gpus":                    1,
"batch_size_embeddings":   32,
"batch_size_generate":     256,
"name":         "bird1"

}

Interpolating embeddings between instruments at each pitch...
instrument grid = [['single'], ['chorus'], ['bird1'], ['bird5']]
grid_size = -1e-13
x=[[0.]]
y=[[0.]]
x=[0.]
y=[0.]
xy_grid=<zip object at 0x7f82c8ecaec8>
uv=(0, 0)
Traceback (most recent call last):
File "generate.py", line 289, in
interpolate_embeddings()
File "generate.py", line 131, in interpolate_embeddings
sub_grid, weights = get_instruments(xy), get_weights(xy)
File "generate.py", line 114, in get_instruments
return [instrument_grid[uv[0]][uv[1]],instrument_grid[uv[0]][uv[1]+1],
IndexError: list index out of range

Second config:

{
"instruments": [["single","chorus","bird1","bird5"]],
"checkpoint_dir":"wavenet-ckpt",
"pitches": [36, 40, 44, 48, 52, 56],
"resolution": 9,
"final_length": 64000,
"gpus": 1,
"batch_size_embeddings": 32,
"batch_size_generate": 256,
"name": "bird1"
}

Interpolating embeddings between instruments at each pitch...
instrument grid = [['single', 'chorus', 'bird1', 'bird5']]
grid_size = 2.9999999999999
x=[[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]
[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
3. ]]
y=[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. ]
[0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125
0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125
0.125]
[0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25
0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25
0.25 ]
[0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375
0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375
0.375]
[0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
0.5 ]
[0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625
0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625
0.625]
[0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75
0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75
0.75 ]
[0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875
0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875
0.875]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.

  2. ]
    [1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125
    1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125
    1.125]
    [1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25
    1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25
    1.25 ]
    [1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375
    1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375
    1.375]
    [1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5
    1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5
    1.5 ]
    [1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625
    1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625
    1.625]
    [1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75
    1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75
    1.75 ]
    [1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875
    1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875
    1.875]
    [2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2.
  4. ]
    [2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125
    2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125
    2.125]
    [2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25
    2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25
    2.25 ]
    [2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375
    2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375
    2.375]
    [2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5
    2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5
    2.5 ]
    [2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625
    2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625
    2.625]
    [2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75
    2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75
    2.75 ]
    [2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875
    2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875
    2.875]
    [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.
  6. ]]
    x=[0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
    1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
    1. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25
      1.375 1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75
      2.875 3. 0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125
      1.25 1.375 1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625
      2.75 2.875 3. 0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1.
      1.125 1.25 1.375 1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5
      2.625 2.75 2.875 3. 0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875
  8. 1.125 1.25 1.375 1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375
    2.5 2.625 2.75 2.875 3. 0. 0.125 0.25 0.375 0.5 0.625 0.75
    0.875 1. 1.125 1.25 1.375 1.5 1.625 1.75 1.875 2. 2.125 2.25
    2.375 2.5 2.625 2.75 2.875 3. 0. 0.125 0.25 0.375 0.5 0.625
    0.75 0.875 1. 1.125 1.25 1.375 1.5 1.625 1.75 1.875 2. 2.125
    2.25 2.375 2.5 2.625 2.75 2.875 3. 0. 0.125 0.25 0.375 0.5
    0.625 0.75 0.875 1. 1.125 1.25 1.375 1.5 1.625 1.75 1.875 2.
    2.125 2.25 2.375 2.5 2.625 2.75 2.875 3. 0. 0.125 0.25 0.375
    0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375 1.5 1.625 1.75 1.875
  9. 2.125 2.25 2.375 2.5 2.625 2.75 2.875 3. 0. 0.125 0.25
    0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375 1.5 1.625 1.75
    1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875 3. 0. 0.125
    0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375 1.5 1.625
    1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875 3. 0.
    0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375 1.5
    1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875 3.
  10. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
    1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
    1. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25
      1.375 1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75
      2.875 3. 0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125
      1.25 1.375 1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625
      2.75 2.875 3. 0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1.
      1.125 1.25 1.375 1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5
      2.625 2.75 2.875 3. 0. 0.125 0.25 0.375 0.5 0.625 0.75 0.875
  12. 1.125 1.25 1.375 1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375
    2.5 2.625 2.75 2.875 3. 0. 0.125 0.25 0.375 0.5 0.625 0.75
    0.875 1. 1.125 1.25 1.375 1.5 1.625 1.75 1.875 2. 2.125 2.25
    2.375 2.5 2.625 2.75 2.875 3. 0. 0.125 0.25 0.375 0.5 0.625
    0.75 0.875 1. 1.125 1.25 1.375 1.5 1.625 1.75 1.875 2. 2.125
    2.25 2.375 2.5 2.625 2.75 2.875 3. 0. 0.125 0.25 0.375 0.5
    0.625 0.75 0.875 1. 1.125 1.25 1.375 1.5 1.625 1.75 1.875 2.
    2.125 2.25 2.375 2.5 2.625 2.75 2.875 3. 0. 0.125 0.25 0.375
    0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375 1.5 1.625 1.75 1.875
  13. 2.125 2.25 2.375 2.5 2.625 2.75 2.875 3. 0. 0.125 0.25
    0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375 1.5 1.625 1.75
    1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875 3. 0. 0.125
    0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375 1.5 1.625
    1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875 3. 0.
    0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375 1.5
    1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875 3.
  14. 0.125 0.25 0.375 0.5 0.625 0.75 0.875 1. 1.125 1.25 1.375
    1.5 1.625 1.75 1.875 2. 2.125 2.25 2.375 2.5 2.625 2.75 2.875
  15. ]
    y=[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  17. 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125
    0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125
    0.125 0.125 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25
    0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25
    0.25 0.25 0.25 0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375
    0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375 0.375
    0.375 0.375 0.375 0.375 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
    0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
    0.5 0.5 0.5 0.5 0.5 0.625 0.625 0.625 0.625 0.625 0.625 0.625
    0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625 0.625
    0.625 0.625 0.625 0.625 0.625 0.625 0.75 0.75 0.75 0.75 0.75 0.75
    0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75
    0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.875 0.875 0.875 0.875 0.875
    0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875
    0.875 0.875 0.875 0.875 0.875 0.875 0.875 0.875 1. 1. 1. 1.
                  1. 1.125 1.125 1.125
                    1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125
                    1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.125 1.25 1.25
                    1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25
                    1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.375
                    1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375
                    1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375 1.375
                    1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5
                    1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5
                    1.5 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625
                    1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625 1.625
                    1.625 1.625 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75
                    1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75 1.75
                    1.75 1.75 1.75 1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875
                    1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875 1.875
                    1.875 1.875 1.875 1.875 2. 2. 2. 2. 2. 2. 2. 2.
          1. 2.125 2.125 2.125 2.125 2.125 2.125 2.125
            2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125 2.125
            2.125 2.125 2.125 2.125 2.125 2.125 2.25 2.25 2.25 2.25 2.25 2.25
            2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.25
            2.25 2.25 2.25 2.25 2.25 2.25 2.25 2.375 2.375 2.375 2.375 2.375
            2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375
            2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.375 2.5 2.5 2.5 2.5
            2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5
            2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.625 2.625 2.625
            2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625
            2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.625 2.75 2.75
            2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75
            2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.75 2.875
            2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875
            2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875 2.875
  24. ]
    xy_grid=<zip object at 0x7f77f1551f48>
    uv=(0, 0)
    Traceback (most recent call last):
    File "generate.py", line 289, in
    interpolate_embeddings()
    File "generate.py", line 131, in interpolate_embeddings
    sub_grid, weights = get_instruments(xy), get_weights(xy)
    File "generate.py", line 115, in get_instruments
    instrument_grid[uv[0]+1][uv[1]],instrument_grid[uv[0]+1][uv[1]+1]]
    IndexError: list index out of range
@jesseengel jesseengel assigned jesseengel and unassigned jesseengel Feb 8, 2019
@jesseengel jesseengel mentioned this issue Feb 17, 2019
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@JCBrouwer
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JCBrouwer commented Feb 18, 2019 •
edited
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Hey @ruiguo-bio, I believe this is an issue with the "instruments" setting. The list of lists should be made square with the instruments in the corners you want them in.

In your case it should look something like this:

"instruments":
[["single", "chorus"],
["bird1", "bird5"]],

@ruiguo-bio
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Yes I also tried that settings before. I guess at each corner ableton live
screen shot 2019-02-18 at 15 39 57
should output only one instrument with no interpolation. But I find it strange that at each corner if I move the interpolation point away and go back to the same corner, the generated sound is different from the last time. At the lower left it's a interpolated sound, and the same happens to lower right. The upper left sometimes no sound and sometimes a few sound, and upper right always no sound. It shows an inconsistent behavior which is quite confusing.

@JCBrouwer
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JCBrouwer commented Feb 19, 2019 •
edited
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Could you try to running it one more time with the square instruments list after you've removed your working_dir? Could be that some older files leftover from runs with incorrect settings are messing something up.

I'm not quite sure about everything that you've printed out inside the loops but I know that grid_size should come out to 0.9999... if everything is working correctly.

I've just tried to generate a similar single grid and it is generating it correctly for me with the following settings and a clean working_dir:

{
"instruments": [["nhf", "applymoisterizer"],["tinit", "lethmab"]],
"checkpoint_dir":"~/magenta/magenta/models/nsynth/wavenet-ckpt",
"pitches": [24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35],
"resolution": 9,
"final_length": 48000,
"gpus": 1,
"batch_size_embeddings": 32,
"batch_size_generate": 256,
"name": "grid_test"
}

Note: I've used slightly different pitches and final_length corresponding to my input wav files.

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