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lstm_language_model.prototxt
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lstm_language_model.prototxt
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name: "lstm_language_model"
layer {
name: "data"
type: "HDF5Data"
top: "cont_sentence"
top: "input_sentence"
top: "target_sentence"
include { phase: TRAIN }
hdf5_data_param {
source: "./examples/coco_caption/h5_data/buffer_100/train_unaligned_batches/hdf5_chunk_list.txt"
batch_size: 20
}
}
layer {
name: "data"
type: "HDF5Data"
top: "cont_sentence"
top: "input_sentence"
top: "target_sentence"
include {
phase: TEST
stage: "test-on-train"
}
hdf5_data_param {
source: "./examples/coco_caption/h5_data/buffer_100/train_unaligned_batches/hdf5_chunk_list.txt"
batch_size: 20
}
}
layer {
name: "data"
type: "HDF5Data"
top: "cont_sentence"
top: "input_sentence"
top: "target_sentence"
include {
phase: TEST
stage: "test-on-val"
}
hdf5_data_param {
source: "./examples/coco_caption/h5_data/buffer_100/val_unaligned_batches/hdf5_chunk_list.txt"
batch_size: 20
}
}
layer {
name: "embedding"
type: "Embed"
bottom: "input_sentence"
top: "embedded_input_sentence"
param {
lr_mult: 1
}
embed_param {
bias_term: false
input_dim: 8801 # = vocab_size + 1 (for EOS)
num_output: 1000
weight_filler {
type: "uniform"
min: -0.08
max: 0.08
}
}
}
layer {
name: "embed-drop"
type: "Dropout"
bottom: "embedded_input_sentence"
top: "embedded_input_sentence"
dropout_param { dropout_ratio: 0.5 }
include { stage: "embed-drop" }
}
layer {
name: "lstm1"
type: "LSTM"
bottom: "embedded_input_sentence"
bottom: "cont_sentence"
top: "lstm1"
recurrent_param {
num_output: 1000
weight_filler {
type: "uniform"
min: -0.08
max: 0.08
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "lstm-drop"
type: "Dropout"
bottom: "lstm1"
top: "lstm1"
dropout_param { dropout_ratio: 0.5 }
include { stage: "lstm-drop" }
}
layer {
name: "predict"
type: "InnerProduct"
bottom: "lstm1"
top: "predict"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
inner_product_param {
num_output: 8801 # = vocab_size + 1 (+1 for EOS)
weight_filler {
type: "uniform"
min: -0.08
max: 0.08
}
bias_filler {
type: "constant"
value: 0
}
axis: 2
}
}
layer {
name: "cross_entropy_loss"
type: "SoftmaxWithLoss"
bottom: "predict"
bottom: "target_sentence"
top: "cross_entropy_loss"
loss_weight: 20
loss_param {
ignore_label: -1
}
softmax_param {
axis: 2
}
}
layer {
name: "accuracy"
type: "Accuracy"
bottom: "predict"
bottom: "target_sentence"
top: "accuracy"
include { phase: TEST }
accuracy_param {
axis: 2
ignore_label: -1
}
}