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weights_manifest.json of original drumsRNN
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[ | |
{ | |
"paths" : [ | |
"group1-shard1of3", | |
"group1-shard2of3", | |
"group1-shard3of3" | |
], | |
"weights" : [ | |
{ | |
"name" : "rnn/attention_cell_wrapper/multi_rnn_cell/cell_2/basic_lstm_cell/bias", | |
"shape" : [ | |
1024 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "rnn/attention_cell_wrapper/multi_rnn_cell/cell_0/basic_lstm_cell/kernel", | |
"shape" : [ | |
774, | |
1024 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "rnn/attention_cell_wrapper/kernel", | |
"shape" : [ | |
774, | |
518 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "rnn/attention_cell_wrapper/bias", | |
"shape" : [ | |
518 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "rnn/attention_cell_wrapper/attention_output_projection/bias", | |
"shape" : [ | |
256 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "rnn/attention_cell_wrapper/multi_rnn_cell/cell_1/basic_lstm_cell/bias", | |
"shape" : [ | |
1024 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "rnn/attention_cell_wrapper/attention/kernel", | |
"shape" : [ | |
1536, | |
256 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "rnn/attention_cell_wrapper/attention/bias", | |
"shape" : [ | |
256 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "fully_connected/weights", | |
"shape" : [ | |
256, | |
512 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "rnn/attention_cell_wrapper/attention/attn_v", | |
"shape" : [ | |
256 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "rnn/attention_cell_wrapper/multi_rnn_cell/cell_1/basic_lstm_cell/kernel", | |
"shape" : [ | |
512, | |
1024 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "rnn/attention_cell_wrapper/attention/attn_w", | |
"shape" : [ | |
1, | |
1, | |
256, | |
256 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "rnn/attention_cell_wrapper/multi_rnn_cell/cell_0/basic_lstm_cell/bias", | |
"shape" : [ | |
1024 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "rnn/attention_cell_wrapper/multi_rnn_cell/cell_2/basic_lstm_cell/kernel", | |
"shape" : [ | |
512, | |
1024 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "rnn/attention_cell_wrapper/attention_output_projection/kernel", | |
"shape" : [ | |
512, | |
256 | |
], | |
"dtype" : "float32" | |
}, | |
{ | |
"name" : "fully_connected/biases", | |
"shape" : [ | |
512 | |
], | |
"dtype" : "float32" | |
} | |
] | |
} | |
] |
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