未验证 提交 65d98752 编写于 作者: F flame 提交者: GitHub

python inference enable_memory_optim(#18817)

python inference API support enable_memory_optim
上级 fd3b666d
......@@ -37,19 +37,21 @@ using paddle::NativeConfig;
using paddle::NativePaddlePredictor;
using paddle::AnalysisPredictor;
static void BindPaddleDType(py::module *m);
static void BindPaddleBuf(py::module *m);
static void BindPaddleTensor(py::module *m);
static void BindPaddlePlace(py::module *m);
static void BindPaddlePredictor(py::module *m);
static void BindNativeConfig(py::module *m);
static void BindNativePredictor(py::module *m);
static void BindAnalysisConfig(py::module *m);
static void BindAnalysisPredictor(py::module *m);
namespace {
void BindPaddleDType(py::module *m);
void BindPaddleBuf(py::module *m);
void BindPaddleTensor(py::module *m);
void BindPaddlePlace(py::module *m);
void BindPaddlePredictor(py::module *m);
void BindNativeConfig(py::module *m);
void BindNativePredictor(py::module *m);
void BindAnalysisConfig(py::module *m);
void BindAnalysisPredictor(py::module *m);
#ifdef PADDLE_WITH_MKLDNN
static void BindMkldnnQuantizerConfig(py::module *m);
void BindMkldnnQuantizerConfig(py::module *m);
#endif
} // namespace
void BindInferenceApi(py::module *m) {
BindPaddleDType(m);
......@@ -71,6 +73,7 @@ void BindInferenceApi(py::module *m) {
m->def("paddle_dtype_size", &paddle::PaddleDtypeSize);
}
namespace {
void BindPaddleDType(py::module *m) {
py::enum_<PaddleDType>(*m, "PaddleDType")
.value("FLOAT32", PaddleDType::FLOAT32)
......@@ -227,6 +230,8 @@ void BindAnalysisConfig(py::module *m) {
.def("switch_ir_optim", &AnalysisConfig::SwitchIrOptim,
py::arg("x") = true)
.def("ir_optim", &AnalysisConfig::ir_optim)
.def("enable_memory_optim", &AnalysisConfig::EnableMemoryOptim)
.def("set_optim_cache_dir", &AnalysisConfig::SetOptimCacheDir)
.def("switch_use_feed_fetch_ops", &AnalysisConfig::SwitchUseFeedFetchOps,
py::arg("x") = true)
.def("use_feed_fetch_ops_enabled",
......@@ -312,6 +317,6 @@ void BindAnalysisPredictor(py::module *m) {
.def("SaveOptimModel", &AnalysisPredictor::SaveOptimModel,
py::arg("dir"));
}
} // namespace
} // namespace pybind
} // namespace paddle
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