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dlrm_on_criteo_with_narydis.config
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train_input_path: "examples/data/criteo/criteo_train_data"
eval_input_path: "examples/data/criteo/criteo_test_data"
model_dir: "examples/ckpt/dlrm_narydis_criteo"
train_config {
log_step_count_steps: 500
optimizer_config: {
adam_optimizer: {
learning_rate: {
exponential_decay_learning_rate {
initial_learning_rate: 0.001
decay_steps: 1000
decay_factor: 0.5
min_learning_rate: 0.00001
}
}
}
use_moving_average: false
}
save_checkpoints_steps: 20000
sync_replicas: True
}
eval_config {
metrics_set: {
auc {}
}
}
data_config {
separator: "\t"
input_fields: {
input_name: "label"
input_type: FLOAT
default_val:"0"
}
input_fields: {
input_name: "F1"
input_type: FLOAT
default_val:"0"
}
input_fields: {
input_name: "F2"
input_type: FLOAT
default_val:"0"
}
input_fields: {
input_name: "F3"
input_type: FLOAT
default_val:"0"
}
input_fields: {
input_name: "F4"
input_type: FLOAT
default_val:"0"
}
input_fields: {
input_name: "F5"
input_type: FLOAT
default_val:"0"
}
input_fields: {
input_name: "F6"
input_type: FLOAT
default_val:"0"
}
input_fields: {
input_name: "F7"
input_type: FLOAT
default_val:"0"
}
input_fields: {
input_name: "F8"
input_type: FLOAT
default_val:"0"
}
input_fields: {
input_name: "F9"
input_type: FLOAT
default_val:"0"
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input_fields: {
input_name: "F10"
input_type: FLOAT
default_val:"0"
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input_fields: {
input_name: "F11"
input_type: FLOAT
default_val:"0"
}
input_fields: {
input_name: "F12"
input_type: FLOAT
default_val:"0"
}
input_fields: {
input_name: "F13"
input_type: FLOAT
default_val:"0"
}
input_fields: {
input_name: "C1"
input_type: STRING
default_val:""
}
input_fields: {
input_name: "C2"
input_type: STRING
default_val:""
}
input_fields: {
input_name: "C3"
input_type: STRING
default_val:""
}
input_fields: {
input_name: "C4"
input_type: STRING
default_val:""
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input_fields: {
input_name: "C5"
input_type: STRING
default_val:""
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input_fields: {
input_name: "C6"
input_type: STRING
default_val:""
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input_fields: {
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input_type: STRING
default_val:""
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input_fields: {
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input_fields: {
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input_fields: {
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input_fields: {
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input_fields: {
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input_fields: {
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default_val:""
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input_fields: {
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input_type: STRING
default_val:""
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input_fields: {
input_name: "C16"
input_type: STRING
default_val:""
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input_fields: {
input_name: "C17"
input_type: STRING
default_val:""
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input_fields: {
input_name: "C18"
input_type: STRING
default_val:""
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input_fields: {
input_name: "C19"
input_type: STRING
default_val:""
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input_fields: {
input_name: "C20"
input_type: STRING
default_val:""
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input_fields: {
input_name: "C21"
input_type: STRING
default_val:""
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input_fields: {
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default_val:""
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input_fields: {
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input_fields: {
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input_fields: {
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input_type: STRING
default_val:""
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input_fields: {
input_name: "C26"
input_type: STRING
default_val:""
}
label_fields: "label"
batch_size: 4096
num_epochs: 1
prefetch_size: 32
input_type: CSVInput
}
feature_config: {
features: {
input_names: "F1"
feature_type: RawFeature
min_val:0.0
max_val: 5775.0
}
features: {
input_names: "F2"
feature_type: RawFeature
min_val: -3.0
max_val: 257675.0
}
features: {
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feature_type: RawFeature
min_val: 0.0
max_val: 65535.0
}
features: {
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feature_type: RawFeature
min_val: 0.0
max_val: 969.0
}
features: {
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feature_type: RawFeature
min_val: 0.0
max_val: 23159456.0
}
features: {
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feature_type: RawFeature
min_val: 0.0
max_val: 431037.0
}
features: {
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feature_type: RawFeature
min_val: 0.0
max_val: 56311.0
}
features: {
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min_val: 0.0
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features: {
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min_val: 0.0
max_val: 29019.0
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features: {
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min_val: 0.0
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features: {
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features: {
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feature_type: RawFeature
min_val: 0.0
max_val: 7393.0
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features: {
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feature_type: IdFeature
embedding_dim: 16
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features: {
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feature_type: IdFeature
embedding_dim: 16
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feature_type: IdFeature
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feature_type: IdFeature
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feature_type: IdFeature
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feature_type: IdFeature
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embedding_dim: 16
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features: {
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feature_type: IdFeature
embedding_dim: 16
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}
model_config: {
model_name: 'DLRM with autodis'
model_class: 'RankModel'
feature_groups: {
group_name: "dense"
feature_names: "F1"
feature_names: "F2"
feature_names: "F3"
feature_names: "F4"
feature_names: "F5"
feature_names: "F6"
feature_names: "F7"
feature_names: "F8"
feature_names: "F9"
feature_names: "F10"
feature_names: "F11"
feature_names: "F12"
feature_names: "F13"
wide_deep:DEEP
}
feature_groups: {
group_name: "sparse"
feature_names: "C1"
feature_names: "C2"
feature_names: "C3"
feature_names: "C4"
feature_names: "C5"
feature_names: "C6"
feature_names: "C7"
feature_names: "C8"
feature_names: "C9"
feature_names: "C10"
feature_names: "C11"
feature_names: "C12"
feature_names: "C13"
feature_names: "C14"
feature_names: "C15"
feature_names: "C16"
feature_names: "C17"
feature_names: "C18"
feature_names: "C19"
feature_names: "C20"
feature_names: "C21"
feature_names: "C22"
feature_names: "C23"
feature_names: "C24"
feature_names: "C25"
feature_names: "C26"
wide_deep:DEEP
}
backbone {
blocks {
name: 'num_emb'
inputs {
feature_group_name: 'dense'
}
keras_layer {
class_name: 'NaryDisEmbedding'
nary_dis_embedding {
embedding_dim: 8
carries: [2, 9]
multiplier: 1e6
output_tensor_list: true
}
}
}
blocks {
name: 'sparse'
inputs {
feature_group_name: 'sparse'
}
input_layer {
output_2d_tensor_and_feature_list: true
}
}
blocks {
name: 'dot'
inputs {
block_name: 'num_emb'
input_slice: '[1]'
}
inputs {
block_name: 'sparse'
input_slice: '[1]'
}
keras_layer {
class_name: 'DotInteraction'
}
}
blocks {
name: 'sparse_2d'
inputs {
block_name: 'sparse'
input_slice: '[0]'
}
}
blocks {
name: 'num_emb_2d'
inputs {
block_name: 'num_emb'
input_slice: '[0]'
}
}
concat_blocks: ['num_emb_2d', 'dot', 'sparse_2d']
top_mlp {
hidden_units: [256, 128, 64]
}
}
model_params {
l2_regularization: 1e-5
}
embedding_regularization: 1e-5
}