Files
neural-amp-modeler-lv2/src/nam_plugin.cpp
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2025-02-05 10:40:59 -08:00

476 lines
12 KiB
C++

#include <algorithm>
#include <cmath>
#include <utility>
#include <cassert>
#include "nam_plugin.h"
#define SMOOTH_EPSILON .0001f
namespace NAM {
Plugin::Plugin()
{
// prevent allocations on the audio thread
currentModelPath.reserve(MAX_FILE_NAME + 1);
// NeuralAudio::NeuralModel::SetLSTMLoadMode(
//#ifdef LSTM_PREFER_NAM
// NeuralAudio::PreferNAMCore
//#else
// NeuralAudio::PreferRTNeural
//#endif
// );
//
// NeuralAudio::NeuralModel::SetWaveNetLoadMode(
//#ifdef WAVENET_PREFER_NAM
// NeuralAudio::PreferNAMCore
//#else
// NeuralAudio::PreferRTNeural
//#endif
//);
}
Plugin::~Plugin()
{
delete currentModel;
}
bool Plugin::initialize(double sampleRate, const LV2_Feature* const* features) noexcept
{
this->sampleRate = sampleRate;
// for fetching initial options, can be null
LV2_Options_Option* options = nullptr;
for (size_t i = 0; features[i]; ++i)
{
if (std::string(features[i]->URI) == std::string(LV2_URID__map))
map = static_cast<LV2_URID_Map*>(features[i]->data);
else if (std::string(features[i]->URI) == std::string(LV2_WORKER__schedule))
schedule = static_cast<LV2_Worker_Schedule*>(features[i]->data);
else if (std::string(features[i]->URI) == std::string(LV2_LOG__log))
logger.log = static_cast<LV2_Log_Log*>(features[i]->data);
else if (std::string(features[i]->URI) == std::string(LV2_OPTIONS__options))
options = static_cast<LV2_Options_Option*>(features[i]->data);
}
lv2_log_logger_set_map(&logger, map);
if (!map)
{
lv2_log_error(&logger, "Missing required feature: `%s`", LV2_URID__map);
return false;
}
if (!schedule)
{
lv2_log_error(&logger, "Missing required feature: `%s`", LV2_WORKER__schedule);
return false;
}
lv2_atom_forge_init(&atom_forge, map);
uris.atom_Object = map->map(map->handle, LV2_ATOM__Object);
uris.atom_Float = map->map(map->handle, LV2_ATOM__Float);
uris.atom_Int = map->map(map->handle, LV2_ATOM__Int);
uris.atom_Path = map->map(map->handle, LV2_ATOM__Path);
uris.atom_URID = map->map(map->handle, LV2_ATOM__URID);
uris.bufSize_maxBlockLength = map->map(map->handle, LV2_BUF_SIZE__maxBlockLength);
uris.patch_Set = map->map(map->handle, LV2_PATCH__Set);
uris.patch_Get = map->map(map->handle, LV2_PATCH__Get);
uris.patch_property = map->map(map->handle, LV2_PATCH__property);
uris.patch_value = map->map(map->handle, LV2_PATCH__value);
uris.units_frame = map->map(map->handle, LV2_UNITS__frame);
uris.model_Path = map->map(map->handle, MODEL_URI);
if (options != nullptr)
options_set(this, options);
return true;
}
// runs on non-RT, can block or use [de]allocations
LV2_Worker_Status Plugin::work(LV2_Handle instance, LV2_Worker_Respond_Function respond, LV2_Worker_Respond_Handle handle,
uint32_t size, const void* data)
{
switch (*(const LV2WorkType*)data)
{
case kWorkTypeLoad:
{
auto msg = static_cast<const LV2LoadModelMsg*>(data);
auto nam = static_cast<NAM::Plugin*>(instance);
NeuralAudio::NeuralModel* model = nullptr;
LV2SwitchModelMsg response = { kWorkTypeSwitch, {}, {} };
LV2_Worker_Status result = LV2_WORKER_SUCCESS;
try
{
// load model from path
const size_t pathlen = strlen(msg->path);
if (pathlen == 0 || pathlen >= MAX_FILE_NAME)
{
// avoid logging an error on an empty path.
// but do clear the model.
model = nullptr;
}
else
{
lv2_log_trace(&nam->logger, "Staging model change: `%s`\n", msg->path);
model = NeuralAudio::NeuralModel::CreateFromFile(msg->path);
}
if (model != nullptr)
{
response.model = model;
memcpy(response.path, msg->path, pathlen);
}
}
catch (const std::exception&)
{
}
if (model == nullptr)
{
response.path[0] = '\0';
lv2_log_error(&nam->logger, "Unable to load model from: '%s'\n", msg->path);
}
respond(handle, sizeof(response), &response);
return result;
}
case kWorkTypeFree:
{
auto msg = static_cast<const LV2FreeModelMsg*>(data);
delete msg->model;
return LV2_WORKER_SUCCESS;
}
case kWorkTypeSwitch:
// should not happen!
break;
}
return LV2_WORKER_ERR_UNKNOWN;
}
// runs on RT, right after process(), must not block or [de]allocate memory
LV2_Worker_Status Plugin::work_response(LV2_Handle instance, uint32_t size, const void* data)
{
if (*(const LV2WorkType*)data != kWorkTypeSwitch)
return LV2_WORKER_ERR_UNKNOWN;
auto msg = static_cast<const LV2SwitchModelMsg*>(data);
auto nam = static_cast<NAM::Plugin*>(instance);
// prepare reply for deleting old model
LV2FreeModelMsg reply = { kWorkTypeFree, nam->currentModel };
// swap current model with new one
nam->currentModel = msg->model;
nam->currentModelPath = msg->path;
assert(nam->currentModelPath.capacity() >= MAX_FILE_NAME + 1);
// send reply
nam->schedule->schedule_work(nam->schedule->handle, sizeof(reply), &reply);
// report change to host/ui
nam->write_current_path();
return LV2_WORKER_SUCCESS;
}
void Plugin::set_max_buffer_size(int size) noexcept
{
maxBufferSize = size;
NeuralAudio::NeuralModel::SetDefaultMaxAudioBufferSize(size);
}
void Plugin::process(uint32_t n_samples) noexcept
{
lv2_atom_forge_set_buffer(&atom_forge, (uint8_t*)ports.notify, ports.notify->atom.size);
lv2_atom_forge_sequence_head(&atom_forge, &sequence_frame, uris.units_frame);
LV2_ATOM_SEQUENCE_FOREACH(ports.control, event)
{
if (event->body.type == uris.atom_Object)
{
const auto obj = reinterpret_cast<LV2_Atom_Object*>(&event->body);
if (obj->body.otype == uris.patch_Get)
{
write_current_path();
}
else if (obj->body.otype == uris.patch_Set)
{
const LV2_Atom* property = NULL;
const LV2_Atom* file_path = NULL;
lv2_atom_object_get(obj,
uris.patch_property, &property,
uris.patch_value, &file_path,
0);
if (property && property->type == uris.atom_URID &&
((const LV2_Atom_URID*)property)->body == uris.model_Path &&
file_path && file_path->type == uris.atom_Path &&
file_path->size > 0 && file_path->size < MAX_FILE_NAME)
{
LV2LoadModelMsg msg = { kWorkTypeLoad, {} };
memcpy(msg.path, file_path + 1, file_path->size);
schedule->schedule_work(schedule->handle, sizeof(msg), &msg);
}
}
}
}
float level;
float modelInputAdjustmentDB = 0;
if (currentModel != nullptr)
{
modelInputAdjustmentDB = currentModel->GetRecommendedInputDBAdjustment();
}
// convert input level from db
float desiredInputLevel = powf(10, (*(ports.input_level) + modelInputAdjustmentDB) * 0.05f);
if (fabs(desiredInputLevel - inputLevel) > SMOOTH_EPSILON)
{
level = inputLevel;
for (unsigned int i = 0; i < n_samples; i++)
{
// do very basic smoothing
level = (.99f * level) + (.01f * desiredInputLevel);
ports.audio_out[i] = ports.audio_in[i] * level;
}
inputLevel = level;
}
else
{
level = inputLevel = desiredInputLevel;
for (unsigned int i = 0; i < n_samples; i++)
{
ports.audio_out[i] = ports.audio_in[i] * level;
}
}
float modelLoudnessAdjustmentDB = 0;
if (currentModel != nullptr)
{
currentModel->Process(ports.audio_out, ports.audio_out, n_samples);
modelLoudnessAdjustmentDB = currentModel->GetRecommendedOutputDBAdjustment();
}
// Convert output level from db
float desiredOutputLevel = powf(10, (*(ports.output_level) + modelLoudnessAdjustmentDB) * 0.05f);
if (fabs(desiredOutputLevel - outputLevel) > SMOOTH_EPSILON)
{
level = outputLevel;
for (unsigned int i = 0; i < n_samples; i++)
{
// do very basic smoothing
level = (.99f * level) + (.01f * desiredOutputLevel);
ports.audio_out[i] = ports.audio_out[i] * outputLevel;
}
outputLevel = level;
}
else
{
level = outputLevel = desiredOutputLevel;
for (unsigned int i = 0; i < n_samples; i++)
{
ports.audio_out[i] = ports.audio_out[i] * level;
}
}
//float dcBlockCoefficient = 1 - (220.0 / sampleRate);
//for (unsigned int i = 0; i < n_samples; i++)
//{
// float dcInput = ports.audio_out[i];
// // dc blocker
// ports.audio_out[i] = ports.audio_out[i] - prevDCInput + dcBlockCoefficient * prevDCOutput;
// prevDCInput = dcInput;
// prevDCOutput = ports.audio_out[i];
//}
}
uint32_t Plugin::options_get(LV2_Handle, LV2_Options_Option*)
{
// currently unused
return LV2_OPTIONS_ERR_UNKNOWN;
}
uint32_t Plugin::options_set(LV2_Handle instance, const LV2_Options_Option* options)
{
auto nam = static_cast<NAM::Plugin*>(instance);
for (int i=0; options[i].key && options[i].type; ++i)
{
if (options[i].key == nam->uris.bufSize_maxBlockLength && options[i].type == nam->uris.atom_Int)
{
nam->set_max_buffer_size(*(const int32_t*)options[i].value);
break;
}
}
return LV2_OPTIONS_SUCCESS;
}
LV2_State_Status Plugin::save(LV2_Handle instance, LV2_State_Store_Function store, LV2_State_Handle handle,
uint32_t flags, const LV2_Feature* const* features)
{
auto nam = static_cast<NAM::Plugin*>(instance);
lv2_log_trace(&nam->logger, "Saving state\n");
if (!nam->currentModel)
{
return LV2_STATE_SUCCESS;
}
LV2_State_Map_Path* map_path = (LV2_State_Map_Path*)lv2_features_data(features, LV2_STATE__mapPath);
if (map_path == nullptr)
{
lv2_log_error(&nam->logger, "LV2_STATE__mapPath unsupported by host\n");
return LV2_STATE_ERR_NO_FEATURE;
}
// Map absolute sample path to an abstract state path
char* apath = map_path->abstract_path(map_path->handle, nam->currentModelPath.c_str());
store(handle, nam->uris.model_Path, apath, strlen(apath) + 1, nam->uris.atom_Path,
LV2_STATE_IS_POD | LV2_STATE_IS_PORTABLE);
LV2_State_Free_Path* free_path = (LV2_State_Free_Path *)lv2_features_data(features, LV2_STATE__freePath);
if (free_path != nullptr)
{
free_path->free_path(free_path->handle, apath);
}
else
{
#ifndef _WIN32 // Can't free host-allocated memory on plugin side under Windows
free(apath);
#endif
}
return LV2_STATE_SUCCESS;
}
LV2_State_Status Plugin::restore(LV2_Handle instance, LV2_State_Retrieve_Function retrieve, LV2_State_Handle handle,
uint32_t flags, const LV2_Feature* const* features)
{
auto nam = static_cast<NAM::Plugin*>(instance);
// Get model_Path from state
size_t size = 0;
uint32_t type = 0;
uint32_t valflags = 0;
const void* value = retrieve(handle, nam->uris.model_Path, &size, &type, &valflags);
lv2_log_trace(&nam->logger, "Restoring model '%s'\n", (const char*)value);
NAM::LV2LoadModelMsg msg = { NAM::kWorkTypeLoad, {} };
LV2_State_Status result = LV2_STATE_SUCCESS;
// Check if a path is set
if (!value || (type != nam->uris.atom_Path))
{
msg.path[0] = '\0';
}
else
{
LV2_State_Map_Path* map_path = (LV2_State_Map_Path*)lv2_features_data(features, LV2_STATE__mapPath);
if (map_path == nullptr)
{
lv2_log_error(&nam->logger, "LV2_STATE__mapPath unsupported by host\n");
return LV2_STATE_ERR_NO_FEATURE;
}
// Map abstract state path to absolute path
char* path = map_path->absolute_path(map_path->handle, (const char *)value);
size_t pathLen = strlen(path);
if (pathLen >= MAX_FILE_NAME)
{
lv2_log_error(&nam->logger, "Model path is too long (max %u chars)\n", MAX_FILE_NAME);
result = LV2_STATE_ERR_UNKNOWN;
}
else
{
memcpy(msg.path, path, pathLen);
}
LV2_State_Free_Path* free_path = (LV2_State_Free_Path*)lv2_features_data(features, LV2_STATE__freePath);
if (free_path != nullptr)
{
free_path->free_path(free_path->handle, path);
}
else
{
#ifndef _WIN32 // Can't free host-allocated memory on plugin side under Windows
free(path);
#endif
}
}
if (result == LV2_STATE_SUCCESS)
{
// Schedule model to be loaded by the provided worker
nam->schedule->schedule_work(nam->schedule->handle, sizeof(msg), &msg);
nam->currentModelPath = msg.path;
}
return result;
}
void Plugin::write_current_path()
{
LV2_Atom_Forge_Frame frame;
lv2_atom_forge_frame_time(&atom_forge, 0);
lv2_atom_forge_object(&atom_forge, &frame, 0, uris.patch_Set);
lv2_atom_forge_key(&atom_forge, uris.patch_property);
lv2_atom_forge_urid(&atom_forge, uris.model_Path);
lv2_atom_forge_key(&atom_forge, uris.patch_value);
lv2_atom_forge_path(&atom_forge, currentModelPath.c_str(), (uint32_t)currentModelPath.length() + 1);
lv2_atom_forge_pop(&atom_forge, &frame);
}
}