Upload denoise_only_operative_config.gin

denoise_only_operative_config.gin

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+import mesh_tensorflow.optimize
+import mesh_tensorflow.transformer.dataset
+import mesh_tensorflow.transformer.learning_rate_schedules
+import mesh_tensorflow.transformer.t2t_vocabulary
+import mesh_tensorflow.transformer.transformer_layers
+import mesh_tensorflow.transformer.utils
+import t5.models.mesh_transformer
+
+# Macros:
+# ==============================================================================
+d_ff = 2048
+d_kv = 64
+d_model = 512
+dropout_rate = 0.1
+num_heads = 8
+num_layers = 6
+
+# Parameters for adafactor_decay_rate_pow:
+# ==============================================================================
+adafactor_decay_rate_pow.offset = 0
+
+# Parameters for AdafactorOptimizer:
+# ==============================================================================
+AdafactorOptimizer.beta1 = 0.0
+AdafactorOptimizer.clipping_threshold = 1.0
+AdafactorOptimizer.decay_rate = None
+AdafactorOptimizer.epsilon1 = 1e-30
+AdafactorOptimizer.epsilon2 = 0.001
+AdafactorOptimizer.factored = True
+AdafactorOptimizer.min_dim_size_to_factor = 128
+AdafactorOptimizer.multiply_by_parameter_scale = True
+
+# Parameters for Bitransformer:
+# ==============================================================================
+Bitransformer.shared_embedding = True
+
+# Parameters for decoder/DenseReluDense:
+# ==============================================================================
+decoder/DenseReluDense.activation = 'relu'
+decoder/DenseReluDense.dropout_rate = %dropout_rate
+decoder/DenseReluDense.hidden_size = %d_ff
+decoder/DenseReluDense.use_bias = False
+
+# Parameters for encoder/DenseReluDense:
+# ==============================================================================
+encoder/DenseReluDense.activation = 'relu'
+encoder/DenseReluDense.dropout_rate = %dropout_rate
+encoder/DenseReluDense.hidden_size = %d_ff
+encoder/DenseReluDense.use_bias = False
+
+# Parameters for enc_dec_attention:
+# ==============================================================================
+# None.
+
+# Parameters for enc_dec_attention_bias:
+# ==============================================================================
+# None.
+
+# Parameters for decoder/EncDecAttention:
+# ==============================================================================
+decoder/EncDecAttention.relative_attention_type = None
+
+# Parameters for get_variable_dtype:
+# ==============================================================================
+get_variable_dtype.activation_dtype = 'bfloat16'
+
+# Parameters for get_vocab_embedding_cls:
+# ==============================================================================
+# None.
+
+# Parameters for get_vocabulary:
+# ==============================================================================
+# None.
+
+# Parameters for init_checkpoint_variable_mapping:
+# ==============================================================================
+init_checkpoint_variable_mapping.mapping_fn = None
+
+# Parameters for decoder/LayerStack:
+# ==============================================================================
+decoder/LayerStack.dropout_rate = %dropout_rate
+decoder/LayerStack.norm_epsilon = 1e-06
+decoder/LayerStack.recompute_grads = False
+decoder/LayerStack.sublayers_final = None
+decoder/LayerStack.sublayers_initial = None
+decoder/LayerStack.sublayers_per_layer = None
+
+# Parameters for encoder/LayerStack:
+# ==============================================================================
+encoder/LayerStack.dropout_rate = %dropout_rate
+encoder/LayerStack.norm_epsilon = 1e-06
+encoder/LayerStack.recompute_grads = False
+encoder/LayerStack.sublayers_final = None
+encoder/LayerStack.sublayers_initial = None
+encoder/LayerStack.sublayers_per_layer = None
+
+# Parameters for learning_rate_schedule_noam:
+# ==============================================================================
+learning_rate_schedule_noam.linear_decay_fraction = 0.1
+learning_rate_schedule_noam.multiplier = 1.0
+learning_rate_schedule_noam.offset = 0
+learning_rate_schedule_noam.total_train_steps = 300000
+learning_rate_schedule_noam.warmup_steps = 10000
+### CHANGE HERE total_train_steps
+
+# Parameters for make_bitransformer:
+# ==============================================================================
+make_bitransformer.decoder_name = 'decoder'
+make_bitransformer.encoder_name = 'encoder'
+
+# Parameters for decoder/make_layer_stack:
+# ==============================================================================
+decoder/make_layer_stack.block_scope = True
+decoder/make_layer_stack.layers = \
+    [@mesh_tensorflow.transformer.transformer_layers.SelfAttention,
+     @mesh_tensorflow.transformer.transformer_layers.EncDecAttention,
+     @mesh_tensorflow.transformer.transformer_layers.DenseReluDense]
+decoder/make_layer_stack.num_layers = %num_layers
+
+# Parameters for encoder/make_layer_stack:
+# ==============================================================================
+encoder/make_layer_stack.block_scope = True
+encoder/make_layer_stack.layers = \
+    [@mesh_tensorflow.transformer.transformer_layers.SelfAttention,
+     @mesh_tensorflow.transformer.transformer_layers.DenseReluDense]
+encoder/make_layer_stack.num_layers = %num_layers
+
+# Parameters for mesh_train_dataset_fn:
+# ==============================================================================
+mesh_train_dataset_fn.pack = True
+mesh_train_dataset_fn.seed = None
+mesh_train_dataset_fn.shuffle = True
+mesh_train_dataset_fn.use_cached = False
+
+# Parameters for MtfModel:
+# ==============================================================================
+MtfModel.autostack = True
+MtfModel.ensemble_inputs = None
+MtfModel.extra_gin_bindings = None
+MtfModel.gcp_project = None
+MtfModel.layout_rules = \
+    'ensemble:ensemble,batch:batch,d_ff:model,heads:model,vocab:model,experts:batch'
+MtfModel.mesh_devices = None
+MtfModel.mesh_shape = None
+MtfModel.model_type = 'bitransformer'
+MtfModel.optimizer = None
+MtfModel.predict_fn = None
+MtfModel.tpu_job_name = None
+MtfModel.tpu_zone = None
+MtfModel.variable_filter = None
+
+# Parameters for pack_dataset:
+# ==============================================================================
+pack_dataset.use_custom_ops = False
+
+# Parameters for pack_or_pad:
+# ==============================================================================
+# None.
+
+# Parameters for rewrite_stack_variables:
+# ==============================================================================
+rewrite_stack_variables.max_combined_variable_size = 536870912
+
+# Parameters for decoder/SelfAttention:
+# ==============================================================================
+decoder/SelfAttention.attention_func = None
+decoder/SelfAttention.attention_kwargs = None
+decoder/SelfAttention.combine_dims = True
+decoder/SelfAttention.dropout_rate = %dropout_rate
+decoder/SelfAttention.fold_scaling_into_initializer = True
+decoder/SelfAttention.keep_query_heads_dims = False
+decoder/SelfAttention.key_value_size = %d_kv
+decoder/SelfAttention.num_heads = %num_heads
+decoder/SelfAttention.num_memory_heads = 0
+decoder/SelfAttention.relative_attention_num_buckets = 32
+decoder/SelfAttention.relative_attention_type = 'bias_shared'
+decoder/SelfAttention.shared_kv = False
+
+# Parameters for encoder/SelfAttention:
+# ==============================================================================
+encoder/SelfAttention.attention_func = None
+encoder/SelfAttention.attention_kwargs = None
+encoder/SelfAttention.combine_dims = True
+encoder/SelfAttention.dropout_rate = %dropout_rate
+encoder/SelfAttention.fold_scaling_into_initializer = True
+encoder/SelfAttention.keep_query_heads_dims = False
+encoder/SelfAttention.key_value_size = %d_kv
+encoder/SelfAttention.num_heads = %num_heads
+encoder/SelfAttention.num_memory_heads = 0
+encoder/SelfAttention.relative_attention_num_buckets = 32
+encoder/SelfAttention.relative_attention_type = 'bias_shared'
+encoder/SelfAttention.shared_kv = False
+
+# Parameters for serialize_num_microbatches:
+# ==============================================================================
+serialize_num_microbatches.tokens_per_microbatch_per_replica = None
+
+# Parameters for SimdMeshImpl:
+# ==============================================================================
+SimdMeshImpl.allreduce_in_bfloat16_max_group_size = 8
+
+# Parameters for sublayer_call_layer:
+# ==============================================================================
+# None.
+
+# Parameters for sublayer_dropout:
+# ==============================================================================
+# None.
+
+# Parameters for sublayer_legacy_dropout:
+# ==============================================================================
+# None.
+
+# Parameters for sublayer_legacy_final_rms_norm:
+# ==============================================================================
+# None.
+
+# Parameters for sublayer_legacy_rms_norm:
+# ==============================================================================
+# None.
+
+# Parameters for sublayer_mask_padding:
+# ==============================================================================
+# None.
+
+# Parameters for sublayer_residual:
+# ==============================================================================
+# None.
+
+# Parameters for sublayer_rms_norm:
+# ==============================================================================
+sublayer_rms_norm.epsilon = 1e-06
+
+# Parameters for tpu_estimator_model_fn:
+# ==============================================================================
+tpu_estimator_model_fn.hierarchical_tiling_spec = None
+tpu_estimator_model_fn.init_variable_filter = ''
+tpu_estimator_model_fn.model_info_file = None
+tpu_estimator_model_fn.outer_batch_size = 1
+tpu_estimator_model_fn.tpu_summaries = False
+
+# Parameters for tpu_mesh_shape:
+# ==============================================================================
+tpu_mesh_shape.ensemble_parallelism = None
+
+# Parameters for unit_scaling_convention:
+# ==============================================================================
+unit_scaling_convention.value = False
+
+# Parameters for decoder/Unitransformer:
+# ==============================================================================
+decoder/Unitransformer.d_model = %d_model
+decoder/Unitransformer.ensemble = None
+decoder/Unitransformer.input_full_attention = False
+decoder/Unitransformer.label_smoothing = 0.0
+decoder/Unitransformer.loss_denominator = 233472
+decoder/Unitransformer.loss_fn = None
+decoder/Unitransformer.loss_on_targets_only = False
+decoder/Unitransformer.max_length = 512
+decoder/Unitransformer.positional_embedding = False
+decoder/Unitransformer.shared_embedding_and_softmax_weights = True
+decoder/Unitransformer.sinusoid_positional_embedding = False
+decoder/Unitransformer.token_dropout_rate = 0.0
+decoder/Unitransformer.vocab_divisor = 128
+decoder/Unitransformer.z_loss = 0.0001
+
+# Parameters for encoder/Unitransformer:
+# ==============================================================================
+encoder/Unitransformer.d_model = %d_model
+encoder/Unitransformer.ensemble = None
+encoder/Unitransformer.input_full_attention = False
+encoder/Unitransformer.label_smoothing = 0.0
+encoder/Unitransformer.loss_denominator = None
+encoder/Unitransformer.loss_fn = None
+encoder/Unitransformer.loss_on_targets_only = False
+encoder/Unitransformer.max_length = 512
+encoder/Unitransformer.positional_embedding = False
+encoder/Unitransformer.shared_embedding_and_softmax_weights = True
+encoder/Unitransformer.sinusoid_positional_embedding = False
+encoder/Unitransformer.token_dropout_rate = 0.0
+encoder/Unitransformer.vocab_divisor = 128
+encoder/Unitransformer.z_loss = 0.0001
+
+# Parameters for VarianceScalingInitializer:
+# ==============================================================================
+VarianceScalingInitializer.distribution = 'normal'
+VarianceScalingInitializer.mode = 'fan_in'
+VarianceScalingInitializer.scale = 1.0
+
+# Parameters for VocabEmbedding:
+# ==============================================================================
+VocabEmbedding.scale_variable_like_classifier_weights = False