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237 lines
6.5 KiB
C++
237 lines
6.5 KiB
C++
// Copyright © 2023 Apple Inc.
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//
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#include <json.hpp>
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#include <stack>
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#include "mlx/io.h"
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#include "mlx/io/load.h"
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#include "mlx/ops.h"
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#include "mlx/primitives.h"
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#include "mlx/transforms.h"
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using json = nlohmann::json;
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#define ST_F16 "F16"
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#define ST_BF16 "BF16"
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#define ST_F32 "F32"
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#define ST_BOOL "BOOL"
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#define ST_I8 "I8"
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#define ST_I16 "I16"
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#define ST_I32 "I32"
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#define ST_I64 "I64"
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#define ST_U8 "U8"
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#define ST_U16 "U16"
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#define ST_U32 "U32"
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#define ST_U64 "U64"
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// Note: Complex numbers aren't in the spec yet so this could change -
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// https://github.com/huggingface/safetensors/issues/389
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#define ST_C64 "C64"
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namespace mlx::core {
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std::string dtype_to_safetensor_str(Dtype t) {
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switch (t) {
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case float32:
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return ST_F32;
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case bfloat16:
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return ST_BF16;
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case float16:
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return ST_F16;
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case int64:
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return ST_I64;
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case int32:
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return ST_I32;
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case int16:
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return ST_I16;
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case int8:
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return ST_I8;
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case uint64:
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return ST_U64;
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case uint32:
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return ST_U32;
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case uint16:
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return ST_U16;
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case uint8:
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return ST_U8;
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case bool_:
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return ST_BOOL;
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case complex64:
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return ST_C64;
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default:
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throw std::runtime_error("[save_safetensors] received invalid dtype.");
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}
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}
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Dtype dtype_from_safetensor_str(std::string_view str) {
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if (str == ST_F32) {
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return float32;
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} else if (str == ST_F16) {
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return float16;
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} else if (str == ST_BF16) {
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return bfloat16;
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} else if (str == ST_I64) {
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return int64;
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} else if (str == ST_I32) {
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return int32;
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} else if (str == ST_I16) {
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return int16;
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} else if (str == ST_I8) {
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return int8;
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} else if (str == ST_U64) {
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return uint64;
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} else if (str == ST_U32) {
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return uint32;
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} else if (str == ST_U16) {
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return uint16;
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} else if (str == ST_U8) {
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return uint8;
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} else if (str == ST_BOOL) {
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return bool_;
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} else if (str == ST_C64) {
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return complex64;
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} else {
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throw std::runtime_error(
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"[safetensor] unsupported dtype " + std::string(str));
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}
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}
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/** Load array from reader in safetensor format */
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SafetensorsLoad load_safetensors(
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std::shared_ptr<io::Reader> in_stream,
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StreamOrDevice s) {
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////////////////////////////////////////////////////////
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// Open and check file
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if (!in_stream->good() || !in_stream->is_open()) {
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throw std::runtime_error(
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"[load_safetensors] Failed to open " + in_stream->label());
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}
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uint64_t jsonHeaderLength = 0;
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in_stream->read(reinterpret_cast<char*>(&jsonHeaderLength), 8);
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if (jsonHeaderLength <= 0) {
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throw std::runtime_error(
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"[load_safetensors] Invalid json header length " + in_stream->label());
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}
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// Load the json metadata
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char rawJson[jsonHeaderLength];
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in_stream->read(rawJson, jsonHeaderLength);
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auto metadata = json::parse(rawJson, rawJson + jsonHeaderLength);
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// Should always be an object on the top-level
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if (!metadata.is_object()) {
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throw std::runtime_error(
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"[load_safetensors] Invalid json metadata " + in_stream->label());
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}
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size_t offset = jsonHeaderLength + 8;
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// Load the arrays using metadata
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std::unordered_map<std::string, array> res;
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std::unordered_map<std::string, std::string> metadata_map;
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for (const auto& item : metadata.items()) {
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if (item.key() == "__metadata__") {
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for (const auto& meta_item : item.value().items()) {
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metadata_map.insert({meta_item.key(), meta_item.value()});
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}
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continue;
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}
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const std::string& dtype = item.value().at("dtype");
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const std::vector<int>& shape = item.value().at("shape");
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const std::vector<size_t>& data_offsets = item.value().at("data_offsets");
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Dtype type = dtype_from_safetensor_str(dtype);
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auto loaded_array = array(
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shape,
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type,
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std::make_shared<Load>(
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to_stream(s), in_stream, offset + data_offsets.at(0), false),
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std::vector<array>{});
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res.insert({item.key(), loaded_array});
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}
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return {res, metadata_map};
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}
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SafetensorsLoad load_safetensors(const std::string& file, StreamOrDevice s) {
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return load_safetensors(std::make_shared<io::ParallelFileReader>(file), s);
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}
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void save_safetensors(
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std::shared_ptr<io::Writer> out_stream,
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std::unordered_map<std::string, array> a,
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std::unordered_map<std::string, std::string> metadata /* = {} */) {
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////////////////////////////////////////////////////////
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// Check file
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if (!out_stream->good() || !out_stream->is_open()) {
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throw std::runtime_error(
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"[save_safetensors] Failed to open " + out_stream->label());
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}
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////////////////////////////////////////////////////////
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// Check array map
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json parent;
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json _metadata;
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for (auto& [key, value] : metadata) {
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_metadata[key] = value;
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}
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parent["__metadata__"] = _metadata;
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{
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std::vector<array> to_eval;
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to_eval.reserve(a.size());
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for (auto& [_, arr] : a) {
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to_eval.push_back(arr);
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}
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eval(std::move(to_eval));
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}
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size_t offset = 0;
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for (auto& [key, arr] : a) {
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if (arr.nbytes() == 0) {
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throw std::invalid_argument(
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"[save_safetensors] cannot serialize an empty array key: " + key);
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}
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// Try to make it row contiguous
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if (!arr.flags().row_contiguous) {
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arr = reshape(flatten(arr), arr.shape());
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arr.eval();
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}
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// Has to be row-major now but, check one more time in case
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// any of the above change in the future
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if (!arr.flags().row_contiguous) {
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throw std::invalid_argument(
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"[save_safetensors] can only serialize row-major arrays");
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}
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json child;
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child["dtype"] = dtype_to_safetensor_str(arr.dtype());
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child["shape"] = arr.shape();
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child["data_offsets"] = std::vector<size_t>{offset, offset + arr.nbytes()};
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parent[key] = child;
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offset += arr.nbytes();
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}
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auto header = parent.dump();
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uint64_t header_len = header.length();
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out_stream->write(reinterpret_cast<char*>(&header_len), 8);
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out_stream->write(header.c_str(), header_len);
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for (auto& [key, arr] : a) {
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out_stream->write(arr.data<char>(), arr.nbytes());
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}
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}
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void save_safetensors(
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std::string file,
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std::unordered_map<std::string, array> a,
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std::unordered_map<std::string, std::string> metadata /* = {} */) {
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// Add .safetensors to file name if it is not there
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if (file.length() < 12 ||
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file.substr(file.length() - 12, 12) != ".safetensors")
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file += ".safetensors";
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// Serialize array
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save_safetensors(
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std::make_shared<io::FileWriter>(std::move(file)), a, metadata);
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}
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} // namespace mlx::core
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