Embed default beam width into exported graph and remove param from DS_CreateModel

This commit is contained in:
Reuben Morais 2020-01-27 16:03:03 +01:00
parent 5366f90375
commit 8e9b6ef7b3
10 changed files with 62 additions and 20 deletions

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@ -797,6 +797,7 @@ def export():
outputs['metadata_sample_rate'] = tf.constant([FLAGS.audio_sample_rate], name='metadata_sample_rate') outputs['metadata_sample_rate'] = tf.constant([FLAGS.audio_sample_rate], name='metadata_sample_rate')
outputs['metadata_feature_win_len'] = tf.constant([FLAGS.feature_win_len], name='metadata_feature_win_len') outputs['metadata_feature_win_len'] = tf.constant([FLAGS.feature_win_len], name='metadata_feature_win_len')
outputs['metadata_feature_win_step'] = tf.constant([FLAGS.feature_win_step], name='metadata_feature_win_step') outputs['metadata_feature_win_step'] = tf.constant([FLAGS.feature_win_step], name='metadata_feature_win_step')
outputs['metadata_beam_width'] = tf.constant([FLAGS.export_beam_width], name='metadata_beam_width')
outputs['metadata_alphabet'] = tf.constant([Config.alphabet.serialize()], name='metadata_alphabet') outputs['metadata_alphabet'] = tf.constant([Config.alphabet.serialize()], name='metadata_alphabet')
if FLAGS.export_language: if FLAGS.export_language:

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@ -257,7 +257,6 @@ StreamingState::processBatch(const vector<float>& buf, unsigned int n_steps)
int int
DS_CreateModel(const char* aModelPath, DS_CreateModel(const char* aModelPath,
unsigned int aBeamWidth,
ModelState** retval) ModelState** retval)
{ {
*retval = nullptr; *retval = nullptr;
@ -282,7 +281,7 @@ DS_CreateModel(const char* aModelPath,
return DS_ERR_FAIL_CREATE_MODEL; return DS_ERR_FAIL_CREATE_MODEL;
} }
int err = model->init(aModelPath, aBeamWidth); int err = model->init(aModelPath);
if (err != DS_ERR_OK) { if (err != DS_ERR_OK) {
return err; return err;
} }
@ -291,6 +290,19 @@ DS_CreateModel(const char* aModelPath,
return DS_ERR_OK; return DS_ERR_OK;
} }
unsigned int
DS_GetModelBeamWidth(ModelState* aCtx)
{
return aCtx->beam_width_;
}
int
DS_SetModelBeamWidth(ModelState* aCtx, unsigned int aBeamWidth)
{
aCtx->beam_width_ = aBeamWidth;
return 0;
}
int int
DS_GetModelSampleRate(ModelState* aCtx) DS_GetModelSampleRate(ModelState* aCtx)
{ {

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@ -78,18 +78,39 @@ enum DeepSpeech_Error_Codes
* @brief An object providing an interface to a trained DeepSpeech model. * @brief An object providing an interface to a trained DeepSpeech model.
* *
* @param aModelPath The path to the frozen model graph. * @param aModelPath The path to the frozen model graph.
* @param aBeamWidth The beam width used by the decoder. A larger beam
* width generates better results at the cost of decoding
* time.
* @param[out] retval a ModelState pointer * @param[out] retval a ModelState pointer
* *
* @return Zero on success, non-zero on failure. * @return Zero on success, non-zero on failure.
*/ */
DEEPSPEECH_EXPORT DEEPSPEECH_EXPORT
int DS_CreateModel(const char* aModelPath, int DS_CreateModel(const char* aModelPath,
unsigned int aBeamWidth,
ModelState** retval); ModelState** retval);
/**
* @brief Get beam width value used by the model. If {@link DS_SetModelBeamWidth}
* was not called before, will return the default value loaded from the
* model file.
*
* @param aCtx A ModelState pointer created with {@link DS_CreateModel}.
*
* @return Beam width value used by the model.
*/
DEEPSPEECH_EXPORT
unsigned int DS_GetModelBeamWidth(ModelState* aCtx);
/**
* @brief Set beam width value used by the model.
*
* @param aCtx A ModelState pointer created with {@link DS_CreateModel}.
* @param aBeamWidth The beam width used by the model. A larger beam width value
* generates better results at the cost of decoding time.
*
* @return Zero on success, non-zero on failure.
*/
DEEPSPEECH_EXPORT
int DS_SetModelBeamWidth(ModelState* aCtx,
unsigned int aBeamWidth);
/** /**
* @brief Return the sample rate expected by a model. * @brief Return the sample rate expected by a model.
* *

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@ -24,10 +24,8 @@ ModelState::~ModelState()
} }
int int
ModelState::init(const char* model_path, ModelState::init(const char* model_path)
unsigned int beam_width)
{ {
beam_width_ = beam_width;
return DS_ERR_OK; return DS_ERR_OK;
} }

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@ -30,7 +30,7 @@ struct ModelState {
ModelState(); ModelState();
virtual ~ModelState(); virtual ~ModelState();
virtual int init(const char* model_path, unsigned int beam_width); virtual int init(const char* model_path);
virtual void compute_mfcc(const std::vector<float>& audio_buffer, std::vector<float>& mfcc_output) = 0; virtual void compute_mfcc(const std::vector<float>& audio_buffer, std::vector<float>& mfcc_output) = 0;

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@ -91,10 +91,9 @@ TFLiteModelState::~TFLiteModelState()
} }
int int
TFLiteModelState::init(const char* model_path, TFLiteModelState::init(const char* model_path)
unsigned int beam_width)
{ {
int err = ModelState::init(model_path, beam_width); int err = ModelState::init(model_path);
if (err != DS_ERR_OK) { if (err != DS_ERR_OK) {
return err; return err;
} }
@ -130,6 +129,7 @@ TFLiteModelState::init(const char* model_path,
int metadata_feature_win_len_idx = get_output_tensor_by_name("metadata_feature_win_len"); int metadata_feature_win_len_idx = get_output_tensor_by_name("metadata_feature_win_len");
int metadata_feature_win_step_idx = get_output_tensor_by_name("metadata_feature_win_step"); int metadata_feature_win_step_idx = get_output_tensor_by_name("metadata_feature_win_step");
int metadata_alphabet_idx = get_output_tensor_by_name("metadata_alphabet"); int metadata_alphabet_idx = get_output_tensor_by_name("metadata_alphabet");
int metadata_beam_width_idx = get_output_tensor_by_name("metadata_beam_width");
std::vector<int> metadata_exec_plan; std::vector<int> metadata_exec_plan;
metadata_exec_plan.push_back(find_parent_node_ids(metadata_version_idx)[0]); metadata_exec_plan.push_back(find_parent_node_ids(metadata_version_idx)[0]);
@ -137,6 +137,7 @@ TFLiteModelState::init(const char* model_path,
metadata_exec_plan.push_back(find_parent_node_ids(metadata_feature_win_len_idx)[0]); metadata_exec_plan.push_back(find_parent_node_ids(metadata_feature_win_len_idx)[0]);
metadata_exec_plan.push_back(find_parent_node_ids(metadata_feature_win_step_idx)[0]); metadata_exec_plan.push_back(find_parent_node_ids(metadata_feature_win_step_idx)[0]);
metadata_exec_plan.push_back(find_parent_node_ids(metadata_alphabet_idx)[0]); metadata_exec_plan.push_back(find_parent_node_ids(metadata_alphabet_idx)[0]);
metadata_exec_plan.push_back(find_parent_node_ids(metadata_beam_width_idx)[0]);
for (int i = 0; i < metadata_exec_plan.size(); ++i) { for (int i = 0; i < metadata_exec_plan.size(); ++i) {
assert(metadata_exec_plan[i] > -1); assert(metadata_exec_plan[i] > -1);
@ -207,9 +208,14 @@ TFLiteModelState::init(const char* model_path,
return DS_ERR_INVALID_ALPHABET; return DS_ERR_INVALID_ALPHABET;
} }
int* const beam_width = interpreter_->typed_tensor<int>(metadata_beam_width_idx);
beam_width_ = (unsigned int)(*beam_width);
assert(sample_rate_ > 0); assert(sample_rate_ > 0);
assert(audio_win_len_ > 0); assert(audio_win_len_ > 0);
assert(audio_win_step_ > 0); assert(audio_win_step_ > 0);
assert(alphabet_.GetSize() > 0);
assert(beam_width_ > 0);
TfLiteIntArray* dims_input_node = interpreter_->tensor(input_node_idx_)->dims; TfLiteIntArray* dims_input_node = interpreter_->tensor(input_node_idx_)->dims;

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@ -30,8 +30,7 @@ struct TFLiteModelState : public ModelState
TFLiteModelState(); TFLiteModelState();
virtual ~TFLiteModelState(); virtual ~TFLiteModelState();
virtual int init(const char* model_path, virtual int init(const char* model_path) override;
unsigned int beam_width) override;
virtual void compute_mfcc(const std::vector<float>& audio_buffer, virtual void compute_mfcc(const std::vector<float>& audio_buffer,
std::vector<float>& mfcc_output) override; std::vector<float>& mfcc_output) override;

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@ -23,10 +23,9 @@ TFModelState::~TFModelState()
} }
int int
TFModelState::init(const char* model_path, TFModelState::init(const char* model_path)
unsigned int beam_width)
{ {
int err = ModelState::init(model_path, beam_width); int err = ModelState::init(model_path);
if (err != DS_ERR_OK) { if (err != DS_ERR_OK) {
return err; return err;
} }
@ -104,6 +103,7 @@ TFModelState::init(const char* model_path,
"metadata_feature_win_len", "metadata_feature_win_len",
"metadata_feature_win_step", "metadata_feature_win_step",
"metadata_alphabet", "metadata_alphabet",
"metadata_beam_width",
}, {}, &metadata_outputs); }, {}, &metadata_outputs);
if (!status.ok()) { if (!status.ok()) {
std::cout << "Unable to fetch metadata: " << status << std::endl; std::cout << "Unable to fetch metadata: " << status << std::endl;
@ -122,9 +122,14 @@ TFModelState::init(const char* model_path,
return DS_ERR_INVALID_ALPHABET; return DS_ERR_INVALID_ALPHABET;
} }
int beam_width = metadata_outputs[4].scalar<int>()();
beam_width_ = (unsigned int)(beam_width);
assert(sample_rate_ > 0); assert(sample_rate_ > 0);
assert(audio_win_len_ > 0); assert(audio_win_len_ > 0);
assert(audio_win_step_ > 0); assert(audio_win_step_ > 0);
assert(alphabet_.GetSize() > 0);
assert(beam_width_ > 0);
for (int i = 0; i < graph_def_.node_size(); ++i) { for (int i = 0; i < graph_def_.node_size(); ++i) {
NodeDef node = graph_def_.node(i); NodeDef node = graph_def_.node(i);

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@ -18,8 +18,7 @@ struct TFModelState : public ModelState
TFModelState(); TFModelState();
virtual ~TFModelState(); virtual ~TFModelState();
virtual int init(const char* model_path, virtual int init(const char* model_path) override;
unsigned int beam_width) override;
virtual void infer(const std::vector<float>& mfcc, virtual void infer(const std::vector<float>& mfcc,
unsigned int n_frames, unsigned int n_frames,

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@ -111,6 +111,7 @@ def create_flags():
f.DEFINE_string('export_language', '', 'language the model was trained on e.g. "en" or "English". Gets embedded into exported model.') f.DEFINE_string('export_language', '', 'language the model was trained on e.g. "en" or "English". Gets embedded into exported model.')
f.DEFINE_boolean('export_zip', False, 'export a TFLite model and package with LM and info.json') f.DEFINE_boolean('export_zip', False, 'export a TFLite model and package with LM and info.json')
f.DEFINE_string('export_name', 'output_graph', 'name for the export model') f.DEFINE_string('export_name', 'output_graph', 'name for the export model')
f.DEFINE_string('export_beam_width', 500, 'default beam width to embed into exported graph')
# Reporting # Reporting