// Copyright (c) Meta Platforms, Inc. and affiliates. // All rights reserved. // // This source code is licensed under the license found in the // LICENSE file in the root directory of this source tree. #include "ggml/ggml.h" #include "ggml/ggml-alloc.h" #include "common.h" #include "common-ggml.h" #include "unity_model_loader.h" void unity_model_loader::load_hparams(fairseq2_model& model, std::ifstream &fin) { auto& hparams = (unity_hparams&)model.hparams; fin.read((char*) &hparams.model_dim, sizeof(hparams.model_dim)); fin.read((char*) &hparams.w2v2_encoder_config__model_dim, sizeof(hparams.w2v2_encoder_config__model_dim)); fin.read((char*) &hparams.w2v2_encoder_config__max_seq_len, sizeof(hparams.w2v2_encoder_config__max_seq_len)); fin.read((char*) &hparams.w2v2_encoder_config__feature_dim, sizeof(hparams.w2v2_encoder_config__feature_dim)); fin.read((char*) &hparams.w2v2_encoder_config__use_fbank, sizeof(hparams.w2v2_encoder_config__use_fbank)); fin.read((char*) &hparams.w2v2_encoder_config__first_pass_dropout_p, sizeof(hparams.w2v2_encoder_config__first_pass_dropout_p)); fin.read((char*) &hparams.w2v2_encoder_config__layer_norm_features, sizeof(hparams.w2v2_encoder_config__layer_norm_features)); fin.read((char*) &hparams.w2v2_encoder_config__feature_extractor_bias, sizeof(hparams.w2v2_encoder_config__feature_extractor_bias)); fin.read((char*) &hparams.w2v2_encoder_config__feature_extractor_layer_norm_convs, sizeof(hparams.w2v2_encoder_config__feature_extractor_layer_norm_convs)); fin.read((char*) &hparams.w2v2_encoder_config__feature_grad_scale, sizeof(hparams.w2v2_encoder_config__feature_grad_scale)); fin.read((char*) &hparams.w2v2_encoder_config__num_fbank_channels, sizeof(hparams.w2v2_encoder_config__num_fbank_channels)); fin.read((char*) &hparams.w2v2_encoder_config__fbank_stride, sizeof(hparams.w2v2_encoder_config__fbank_stride)); fin.read((char*) &hparams.w2v2_encoder_config__sample_fbank_every_k, sizeof(hparams.w2v2_encoder_config__sample_fbank_every_k)); fin.read((char*) &hparams.w2v2_encoder_config__pos_encoder_depth, sizeof(hparams.w2v2_encoder_config__pos_encoder_depth)); fin.read((char*) &hparams.w2v2_encoder_config__pos_conv_kernel_size, sizeof(hparams.w2v2_encoder_config__pos_conv_kernel_size)); fin.read((char*) &hparams.w2v2_encoder_config__num_pos_conv_groups, sizeof(hparams.w2v2_encoder_config__num_pos_conv_groups)); fin.read((char*) &hparams.w2v2_encoder_config__use_conformer, sizeof(hparams.w2v2_encoder_config__use_conformer)); fin.read((char*) &hparams.w2v2_encoder_config__num_encoder_layers, sizeof(hparams.w2v2_encoder_config__num_encoder_layers)); fin.read((char*) &hparams.w2v2_encoder_config__num_encoder_attn_heads, sizeof(hparams.w2v2_encoder_config__num_encoder_attn_heads)); fin.read((char*) &hparams.w2v2_encoder_config__ffn_inner_dim, sizeof(hparams.w2v2_encoder_config__ffn_inner_dim)); fin.read((char*) &hparams.w2v2_encoder_config__dropout_p, sizeof(hparams.w2v2_encoder_config__dropout_p)); fin.read((char*) &hparams.w2v2_encoder_config__attn_dropout_p, sizeof(hparams.w2v2_encoder_config__attn_dropout_p)); fin.read((char*) &hparams.w2v2_encoder_config__layer_drop_p, sizeof(hparams.w2v2_encoder_config__layer_drop_p)); fin.read((char*) &hparams.w2v2_encoder_config__norm_order, sizeof(hparams.w2v2_encoder_config__norm_order)); fin.read((char*) &hparams.w2v2_encoder_config__depthwise_conv_kernel_size, sizeof(hparams.w2v2_encoder_config__depthwise_conv_kernel_size)); fin.read((char*) &hparams.nllb_config__model_dim, sizeof(hparams.nllb_config__model_dim)); fin.read((char*) &hparams.nllb_config__max_seq_len, sizeof(hparams.nllb_config__max_seq_len)); fin.read((char*) &hparams.nllb_config__vocabulary_size, sizeof(hparams.nllb_config__vocabulary_size)); fin.read((char*) &hparams.nllb_config__pad_idx, sizeof(hparams.nllb_config__pad_idx)); fin.read((char*) &hparams.nllb_config__num_encoder_layers, sizeof(hparams.nllb_config__num_encoder_layers)); fin.read((char*) &hparams.nllb_config__num_decoder_layers, sizeof(hparams.nllb_config__num_decoder_layers)); fin.read((char*) &hparams.nllb_config__num_encoder_attn_heads, sizeof(hparams.nllb_config__num_encoder_attn_heads)); fin.read((char*) &hparams.nllb_config__num_decoder_attn_heads, sizeof(hparams.nllb_config__num_decoder_attn_heads)); fin.read((char*) &hparams.nllb_config__ffn_inner_dim, sizeof(hparams.nllb_config__ffn_inner_dim)); fin.read((char*) &hparams.nllb_config__dropout_p, sizeof(hparams.nllb_config__dropout_p)); fin.read((char*) &hparams.t2u_config__model_dim, sizeof(hparams.t2u_config__model_dim)); fin.read((char*) &hparams.t2u_config__unit_max_seq_len, sizeof(hparams.t2u_config__unit_max_seq_len)); fin.read((char*) &hparams.t2u_config__unit_vocabulary_size, sizeof(hparams.t2u_config__unit_vocabulary_size)); fin.read((char*) &hparams.t2u_config__unit_pad_idx, sizeof(hparams.t2u_config__unit_pad_idx)); fin.read((char*) &hparams.t2u_config__num_encoder_layers, sizeof(hparams.t2u_config__num_encoder_layers)); fin.read((char*) &hparams.t2u_config__num_decoder_layers, sizeof(hparams.t2u_config__num_decoder_layers)); fin.read((char*) &hparams.t2u_config__num_encoder_attn_heads, sizeof(hparams.t2u_config__num_encoder_attn_heads)); fin.read((char*) &hparams.t2u_config__num_decoder_attn_heads, sizeof(hparams.t2u_config__num_decoder_attn_heads)); fin.read((char*) &hparams.t2u_config__ffn_inner_dim, sizeof(hparams.t2u_config__ffn_inner_dim)); fin.read((char*) &hparams.t2u_config__dropout_p, sizeof(hparams.t2u_config__dropout_p)); fin.read((char*) &hparams.use_text_encoder, sizeof(hparams.use_text_encoder)); fin.read((char*) &hparams.use_conformer_adaptor, sizeof(hparams.use_conformer_adaptor)); fin.read((char*) &hparams.num_adaptor_layers, sizeof(hparams.num_adaptor_layers)); fin.read((char*) &hparams.adaptor_kernel_size, sizeof(hparams.adaptor_kernel_size)); fin.read((char*) &hparams.adaptor_stride, sizeof(hparams.adaptor_stride)); fin.read((char*) &hparams.adaptor_layer_norm, sizeof(hparams.adaptor_layer_norm)); fin.read((char*) &hparams.adaptor_dropout_p, sizeof(hparams.adaptor_dropout_p)); }; std::size_t unity_model_loader::compute_context_size(void* raw_hparams) { // TODO auto hparams = (unity_hparams&)raw_hparams; return hparams.model_dim * 1024 * 100; }; struct UnityArch { struct TransformerDecoder text_decoder; }; void unity_model_loader::tensors_alloc(fairseq2_model &model) { auto hparams = (unity_hparams&)model.hparams; auto& arch = (UnityArch&)model.arch; const auto ctx = model.ctx; auto tensors = model.tensors; const auto vocab_size = hparams.nllb_config__vocabulary_size; const auto model_dim = hparams.nllb_config__model_dim; // This can be simplified by adding syntax sugar // frontend // arch.frontend_embed_w = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, vocab_size, dim); // tensor_map["text_decoder_frontend.embed.weight"] = arch.frontend_embed_w; // layers { const auto n_layers = hparams.nllb_config__num_decoder_layers; arch.text_decoder.layers = std::vector(n_layers); auto layers = arch.text_decoder.layers; auto num_heads = hparams.nllb_config__num_decoder_attn_heads; for (int i = 0; i < n_layers; ++i) { auto prefix = "text_decoder.layers." + std::to_string(i); MultiheadAttention_init(layers[i].self_attn, model, prefix + "self_attn", model_dim, num_heads); LayerNorm_init(layers[i].self_attn_norm, model, prefix + "self_attn_norm", model_dim); } } // // layer_norm // arch.layer_norm_w = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, dim); // tensor_map["text_decoder.layer_norm.weight"] = arch.layer_norm_w; // arch.layer_norm_b = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, dim); // tensor_map["text_decoder.layer_norm.bias"] = arch.layer_norm_b; }; extern "C" void load_unity_ggml_file(fairseq2_model& model, const char* fname) { return load_fairseq2_ggml_file(model, fname); }