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10 changes: 9 additions & 1 deletion .gitignore
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Expand Up @@ -14,4 +14,12 @@ docs/_build
tags
.vscode/

samplerate/_src.py
samplerate/_src.py

# Compiled extension modules
*.so
*.pyd

# CodeQL build artifacts
_codeql_build_dir/
_codeql_detected_source_root
27 changes: 27 additions & 0 deletions README.md
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Expand Up @@ -58,6 +58,33 @@ assert np.allclose(output_data_simple, output_data_full)

See `samplerate.resample`, `samplerate.Resampler`, and `samplerate.CallbackResampler` in the API documentation for details.

## Multi-threading and GIL Control

All resampling methods support a `release_gil` parameter that controls Python's Global Interpreter Lock (GIL) during resampling operations. This is useful for optimizing performance in different scenarios:

``` python
import samplerate

# Default: "auto" mode - releases GIL only for large data (>= 1000 frames)
# Balances single-threaded performance with multi-threading capability
output = samplerate.resample(input_data, ratio)

# Force GIL release - best for multi-threaded applications
# Allows other Python threads to run during resampling
output = samplerate.resample(input_data, ratio, release_gil=True)

# Disable GIL release - best for single-threaded applications with small data
# Avoids the ~1-5µs overhead of GIL release/acquire
output = samplerate.resample(input_data, ratio, release_gil=False)
```

The same parameter is available on `Resampler.process()` and `CallbackResampler.read()`:

``` python
resampler = samplerate.Resampler('sinc_best', channels=1)
output = resampler.process(input_data, ratio, release_gil=True)
```

## See also

- [scikits.samplerate](https://pypi.python.org/pypi/scikits.samplerate) implements only the Simple API and uses [Cython](http://cython.org/) for extern calls. The resample function of scikits.samplerate and this package share the same function signature for compatiblity.
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125 changes: 94 additions & 31 deletions src/samplerate.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,16 @@
// This value was empirically and somewhat arbitrarily chosen; increase it for further safety.
#define END_OF_INPUT_EXTRA_OUTPUT_FRAMES 10000

// Minimum number of input frames before releasing the GIL during resampling
// when using automatic GIL management. Releasing and re-acquiring the GIL has
// overhead (~1-5 µs), which becomes negligible for larger data sizes but can
// significantly impact performance for small data sizes. This threshold
// balances single-threaded performance (avoiding GIL overhead for small data)
// with multi-threaded performance (allowing parallelism for large data).
// Empirically chosen based on benchmarks showing that at 1000 frames, the GIL
// overhead is < 1% of total execution time for even the fastest converter types.
#define GIL_RELEASE_THRESHOLD_FRAMES 1000

namespace py = pybind11;
using namespace pybind11::literals;

Expand All @@ -54,6 +64,27 @@ using np_array_f32 =

namespace samplerate {

// Helper to determine if GIL should be released based on user preference
// and data size. The release_gil parameter can be:
// - py::none() or "auto": Release GIL only for large data (>= threshold)
// - True: Always release GIL (good for multi-threaded applications)
// - False: Never release GIL (good for single-threaded, small data)
bool should_release_gil(const py::object &release_gil, long num_frames) {
if (release_gil.is_none()) {
// "auto" mode: release GIL only for large data sizes
return num_frames >= GIL_RELEASE_THRESHOLD_FRAMES;
} else if (py::isinstance<py::bool_>(release_gil)) {
return release_gil.cast<bool>();
} else if (py::isinstance<py::str>(release_gil)) {
std::string s = release_gil.cast<std::string>();
if (s == "auto") {
return num_frames >= GIL_RELEASE_THRESHOLD_FRAMES;
}
throw std::domain_error("Invalid release_gil value. Use True, False, None, or 'auto'.");
}
throw std::domain_error("Invalid release_gil type. Use True, False, None, or 'auto'.");
}

enum class ConverterType {
sinc_best,
sinc_medium,
Expand Down Expand Up @@ -147,7 +178,8 @@ class Resampler {

py::array_t<float, py::array::c_style> process(
py::array_t<float, py::array::c_style | py::array::forcecast> input,
double sr_ratio, bool end_of_input) {
double sr_ratio, bool end_of_input,
const py::object &release_gil = py::none()) {
// accessors for the arrays
py::buffer_info inbuf = input.request();

Expand Down Expand Up @@ -189,14 +221,19 @@ class Resampler {
sr_ratio // src_ratio, sampling rate conversion ratio
};

// Release GIL for the entire resampling operation
// Perform resampling with optional GIL release
auto do_resample = [&]() {
return src_process(_state, &src_data);
};

int err_code;
long output_frames_gen;
{
if (should_release_gil(release_gil, inbuf.shape[0])) {
py::gil_scoped_release release;
err_code = src_process(_state, &src_data);
output_frames_gen = src_data.output_frames_gen;
err_code = do_resample();
} else {
err_code = do_resample();
}
long output_frames_gen = src_data.output_frames_gen;
error_handler(err_code);

// create a shorter view of the array
Expand Down Expand Up @@ -313,7 +350,8 @@ class CallbackResampler {
return input;
}

py::array_t<float, py::array::c_style> read(size_t frames) {
py::array_t<float, py::array::c_style> read(
size_t frames, const py::object &release_gil = py::none()) {
// allocate output array
std::vector<size_t> out_shape{frames, _channels};
auto output = py::array_t<float, py::array::c_style>(out_shape);
Expand All @@ -324,18 +362,25 @@ class CallbackResampler {
// clear any previous callback error
clear_callback_error();

// read from the callback - note: GIL is managed by the_callback_func
// which acquires it only when calling the Python callback
size_t output_frames_gen = 0;
int err_code = 0;
{
// Perform callback resampling with optional GIL release.
// Note: the_callback_func will acquire GIL when calling Python callback.
auto do_callback_read = [&]() {
size_t gen = src_callback_read(_state, _ratio, (long)frames,
static_cast<float *>(outbuf.ptr));
return std::make_pair(gen, gen == 0 ? src_error(_state) : 0);
};

size_t output_frames_gen;
int err_code;
if (should_release_gil(release_gil, (long)frames)) {
py::gil_scoped_release release;
output_frames_gen = src_callback_read(_state, _ratio, (long)frames,
static_cast<float *>(outbuf.ptr));
// Get error code while GIL is released
if (output_frames_gen == 0) {
err_code = src_error(_state);
}
auto result = do_callback_read();
output_frames_gen = result.first;
err_code = result.second;
} else {
auto result = do_callback_read();
output_frames_gen = result.first;
err_code = result.second;
}

// check if callback had an error
Expand Down Expand Up @@ -425,7 +470,8 @@ long the_callback_func(void *cb_data, float **data) {

py::array_t<float, py::array::c_style> resample(
const py::array_t<float, py::array::c_style | py::array::forcecast> &input,
double sr_ratio, const py::object &converter_type, bool verbose) {
double sr_ratio, const py::object &converter_type, bool verbose,
const py::object &release_gil = py::none()) {
// input array has shape (n_samples, n_channels)
int converter_type_int = get_converter_type(converter_type);

Expand Down Expand Up @@ -467,16 +513,20 @@ py::array_t<float, py::array::c_style> resample(
sr_ratio // src_ratio, sampling rate conversion ratio
};

// Release GIL for the entire resampling operation
// Perform resampling with optional GIL release
auto do_resample = [&]() {
return src_simple(&src_data, converter_type_int, channels);
};

int err_code;
long output_frames_gen;
long input_frames_used;
{
if (should_release_gil(release_gil, inbuf.shape[0])) {
py::gil_scoped_release release;
err_code = src_simple(&src_data, converter_type_int, channels);
output_frames_gen = src_data.output_frames_gen;
input_frames_used = src_data.input_frames_used;
err_code = do_resample();
} else {
err_code = do_resample();
}
long output_frames_gen = src_data.output_frames_gen;
long input_frames_used = src_data.input_frames_used;
error_handler(err_code);

// create a shorter view of the array
Expand Down Expand Up @@ -546,6 +596,11 @@ PYBIND11_MODULE(samplerate, m) {
Sample rate converter (default: `sinc_best`).
verbose : bool
If `True`, print additional information about the conversion.
release_gil : bool, str, or None
Controls GIL release during resampling for multi-threading:
- `None` or `"auto"` (default): Release GIL only for large data (>= 1000 frames)
- `True`: Always release GIL (best for multi-threaded applications)
- `False`: Never release GIL (best for single-threaded, small data)

Returns
-------
Expand All @@ -559,7 +614,7 @@ PYBIND11_MODULE(samplerate, m) {
conversion ratios.
)mydelimiter",
"input"_a, "ratio"_a, "converter_type"_a = "sinc_best",
"verbose"_a = false);
"verbose"_a = false, "release_gil"_a = py::none());

py::class_<sr::Resampler>(m_converters, "Resampler", R"mydelimiter(
Resampler.
Expand Down Expand Up @@ -590,15 +645,18 @@ PYBIND11_MODULE(samplerate, m) {
Conversion ratio = output sample rate / input sample rate.
end_of_input : int
Set to `True` if no more data is available, or to `False` otherwise.
verbose : bool
If `True`, print additional information about the conversion.
release_gil : bool, str, or None
Controls GIL release during resampling for multi-threading:
- `None` or `"auto"` (default): Release GIL only for large data (>= 1000 frames)
- `True`: Always release GIL (best for multi-threaded applications)
- `False`: Never release GIL (best for single-threaded, small data)

Returns
-------
output_data : ndarray
Resampled input data.
)mydelimiter",
"input"_a, "ratio"_a, "end_of_input"_a = false)
"input"_a, "ratio"_a, "end_of_input"_a = false, "release_gil"_a = py::none())
.def("reset", &sr::Resampler::reset, "Reset internal state.")
.def("set_ratio", &sr::Resampler::set_ratio,
"Set a new conversion ratio immediately.")
Expand Down Expand Up @@ -641,6 +699,11 @@ PYBIND11_MODULE(samplerate, m) {
----------
num_frames : int
Number of frames to read.
release_gil : bool, str, or None
Controls GIL release during resampling for multi-threading:
- `None` or `"auto"` (default): Release GIL only for large data (>= 1000 frames)
- `True`: Always release GIL (best for multi-threaded applications)
- `False`: Never release GIL (best for single-threaded, small data)

Returns
-------
Expand All @@ -649,7 +712,7 @@ PYBIND11_MODULE(samplerate, m) {
(`num_output_frames`,) array. Note that this may return fewer frames
than requested, for example when no more input is available.
)mydelimiter",
"num_frames"_a)
"num_frames"_a, "release_gil"_a = py::none())
.def("reset", &sr::CallbackResampler::reset, "Reset state.")
.def("set_starting_ratio", &sr::CallbackResampler::set_starting_ratio,
"Set the starting conversion ratio for the next `read` call.")
Expand Down
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