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Functions465 in github.com/Noeda/rllama

⨍ Functions 465◇ Types & classes 55

Methodclear_vocabulary_output_piece_score

src/protomodels/sentencepiece_model.rs:710

Functionclip_cols_works

src/tensor.rs:2859

Methodcompute_size

src/protomodels/sentencepiece_model.rs:1189

(pieces: &[&Tensor])

src/tensor.rs:736

Functionconversion_from_f16_tensor_to_f32_tensor_agrees_with_naive

src/tensor.rs:2881

Functionconversion_from_f32_tensor_to_f16_tensor_agrees_with_naive

src/tensor.rs:2902

Methodcursors_to_offset

( d1: usize, d2: usize, d3: usize, d4: usize, d1_c

src/tensor.rs:863

Methoddebug_print

Print a nice representation of the value to stdout. Used for good old printf debugging.

src/unpickler.rs:267

src/token_sampler.rs:14

src/protomodels/sentencepiece_model.rs:127

Methoddefault_instance

src/protomodels/sentencepiece_model.rs:1525

Methoddifferential_privacy_clipping_threshold

src/protomodels/sentencepiece_model.rs:309

Methoddifferential_privacy_noise_level

src/protomodels/sentencepiece_model.rs:290

src/tensor.rs:159

src/semaphore.rs:17

src/tensor_opencl_support.rs:60

src/tensor.rs:399

(max_size: usize)

src/rllama_main.rs:577

Methodenable_differential_privacy

src/protomodels/sentencepiece_model.rs:271

src/protomodels/sentencepiece_model.rs:801

Methodeos_piece

src/protomodels/sentencepiece_model.rs:911

Methodescape_whitespaces

src/protomodels/sentencepiece_model.rs:1770

src/protomodels/sentencepiece_model.rs:2106

(sz: i64, dtype: TensorDType)

src/tensor.rs:1996

src/protomodels/sentencepiece_model.rs:1599

Methodfrom_inferred_source

src/data_source.rs:198

Methodfrom_llama_source

src/data_source.rs:166

Methodfrom_unpickled

(data_source: DataSource)

src/embedding.rs:13

Methodfrom_unpickled

( emb: Embedding, dim: usize, n_layers: usize, n_heads: usize, max_seq

src/transformer.rs:242

Methodfrom_unpickled_pieces

( name: S, data_source: DataSource, direction: FromPiecesDirection, )

src/tensor.rs:272

Methodfrom_unpickled_pieces1

same as from_unpickled_pieces but only reads the first value from unpickled data. used for tensors in multi-GPU files where there's identical tensor i

src/tensor.rs:309

Methodfrom_unpickled_pieces2

same as from_unpickled_pieces but tries two different names

src/tensor.rs:294

Methodfrom_vicuna_source

src/data_source.rs:212

(rows: i64, cols: i64, dtype: TensorDType, value: f32)

src/tensor.rs:468

Methodfull_triu

(rows: i64, cols: i64, start_pos: i64, dtype: TensorDType, value: f32)

src/tensor.rs:496

Methodget_repetition_penalty

src/token_sampler.rs:42

Methodget_temperature

src/token_sampler.rs:30

Methodget_top_k

src/token_sampler.rs:38

Methodget_top_p

src/token_sampler.rs:34

Functiongpu_hadamard_product_and_cpu_hadamard_product_agree

src/tensor.rs:3011

Functiongpu_matrix_mul_transposed_is_close_to_cpu_matrix_mul_transposed

src/tensor.rs:3078

Functiongpu_matrix_mul_transposed_is_close_to_cpu_matrix_mul_transposed_1024x1024

src/tensor.rs:2951

Functiongpu_matrix_mul_transposed_is_close_to_cpu_matrix_mul_transposed_512x1024

src/tensor.rs:2924

Functiongpu_matrix_mul_vector_transposed_is_close_to_cpu_matrix_mul_vector_transposed_1

src/tensor.rs:3122

Functiongpu_matrix_mul_vector_transposed_is_close_to_cpu_matrix_mul_vector_transposed_2

src/tensor.rs:3167

Functiongpu_silu_and_cpu_silu_agree

src/tensor.rs:2978

Functiongpu_transpose_and_cpu_transpose_agree

src/tensor.rs:3047

Functionhandle_request

( state: State<InferenceServerState>, input: Data, )

src/rllama_main.rs:634

Methodhard_vocab_limit

src/protomodels/sentencepiece_model.rs:725

Methodhas_add_dummy_prefix

src/protomodels/sentencepiece_model.rs:1740

Methodhas_allow_whitespace_only_pieces

src/protomodels/sentencepiece_model.rs:621

Methodhas_bos_id

src/protomodels/sentencepiece_model.rs:790

Methodhas_bos_piece

src/protomodels/sentencepiece_model.rs:886

Methodhas_byte_fallback

src/protomodels/sentencepiece_model.rs:695

Methodhas_character_coverage

src/protomodels/sentencepiece_model.rs:336

Methodhas_differential_privacy_clipping_threshold

src/protomodels/sentencepiece_model.rs:317

Methodhas_differential_privacy_noise_level

src/protomodels/sentencepiece_model.rs:298

Methodhas_enable_differential_privacy

src/protomodels/sentencepiece_model.rs:279

Methodhas_eos_id

src/protomodels/sentencepiece_model.rs:809

Methodhas_eos_piece

src/protomodels/sentencepiece_model.rs:922

Methodhas_escape_whitespaces

src/protomodels/sentencepiece_model.rs:1778

Methodhas_expected

src/protomodels/sentencepiece_model.rs:2117

Methodhas_hard_vocab_limit

src/protomodels/sentencepiece_model.rs:733

Methodhas_input

src/protomodels/sentencepiece_model.rs:2081

Methodhas_input_format

src/protomodels/sentencepiece_model.rs:150

Methodhas_input_sentence_size

src/protomodels/sentencepiece_model.rs:355

Methodhas_max_sentence_length

src/protomodels/sentencepiece_model.rs:469

Methodhas_max_sentencepiece_length

src/protomodels/sentencepiece_model.rs:526

Methodhas_mining_sentence_size

src/protomodels/sentencepiece_model.rs:393

Methodhas_model_prefix

src/protomodels/sentencepiece_model.rs:186

Methodhas_model_type

src/protomodels/sentencepiece_model.rs:222

src/protomodels/sentencepiece_model.rs:1671

Methodhas_normalization_rule_tsv

src/protomodels/sentencepiece_model.rs:1800

Methodhas_num_sub_iterations

src/protomodels/sentencepiece_model.rs:507

Methodhas_num_threads

src/protomodels/sentencepiece_model.rs:488

Methodhas_pad_id

src/protomodels/sentencepiece_model.rs:828

Methodhas_pad_piece

src/protomodels/sentencepiece_model.rs:958

Methodhas_piece

src/protomodels/sentencepiece_model.rs:2433

Methodhas_precompiled_charsmap

src/protomodels/sentencepiece_model.rs:1707

Methodhas_remove_extra_whitespaces

src/protomodels/sentencepiece_model.rs:1759

Methodhas_required_chars

src/protomodels/sentencepiece_model.rs:662

Methodhas_score

src/protomodels/sentencepiece_model.rs:2466

Methodhas_seed_sentencepiece_size

src/protomodels/sentencepiece_model.rs:431

Methodhas_self_test_sample_size

src/protomodels/sentencepiece_model.rs:260

Methodhas_shrinking_factor

src/protomodels/sentencepiece_model.rs:450

Methodhas_shuffle_input_sentence

src/protomodels/sentencepiece_model.rs:374

Methodhas_split_by_number

src/protomodels/sentencepiece_model.rs:564

Methodhas_split_by_unicode_script

src/protomodels/sentencepiece_model.rs:545

Methodhas_split_by_whitespace

src/protomodels/sentencepiece_model.rs:583

Methodhas_split_digits

src/protomodels/sentencepiece_model.rs:640

Methodhas_train_extremely_large_corpus

src/protomodels/sentencepiece_model.rs:1027

Methodhas_training_sentence_size

src/protomodels/sentencepiece_model.rs:412

Methodhas_treat_whitespace_as_suffix

src/protomodels/sentencepiece_model.rs:602

src/protomodels/sentencepiece_model.rs:2488

Methodhas_unk_id

src/protomodels/sentencepiece_model.rs:771

Methodhas_unk_piece

src/protomodels/sentencepiece_model.rs:850

Methodhas_unk_surface

src/protomodels/sentencepiece_model.rs:994

Methodhas_use_all_vocab

src/protomodels/sentencepiece_model.rs:752

Methodhas_vocab_size

src/protomodels/sentencepiece_model.rs:241

Methodhas_vocabulary_output_piece_score

src/protomodels/sentencepiece_model.rs:714

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