mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
3551bd31be
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/54462 Unclean files during sync - Sat Mar 20 04:00:02 PDT 2021 Unclean files during sync - Sun Mar 21 04:00:01 PDT 2021 ghstack-source-id: 124585992 Test Plan: ``` buck run xplat/caffe2/fb/test/delegate:interpreter_test -- --model_file_path=/path/to/mobile_model.ptl ``` Reviewed By: raziel Differential Revision: D27232309 fbshipit-source-id: 8504a3185339d73bfa6e924485c4745acf269cec
91 lines
2.9 KiB
C++
91 lines
2.9 KiB
C++
#include <torch/csrc/jit/backends/backend.h>
|
|
#include <torch/csrc/jit/backends/backend_preprocess.h>
|
|
|
|
namespace torch {
|
|
namespace jit {
|
|
// This test JIT backend is intended to do the minimal amount of work
|
|
// necessary to test that the JIT backend registration endpoints and
|
|
// code generation are working correctly. It is not intended to
|
|
// produce numerically correct results.
|
|
template <bool isAvailable>
|
|
class TestBackend : public PyTorchBackendInterface {
|
|
public:
|
|
// Constructor.
|
|
explicit TestBackend() {}
|
|
virtual ~TestBackend() = default;
|
|
|
|
bool is_available() override {
|
|
return isAvailable;
|
|
}
|
|
|
|
c10::impl::GenericDict compile(
|
|
c10::IValue processed,
|
|
c10::impl::GenericDict method_compile_spec) override {
|
|
auto spec =
|
|
c10::impl::toTypedDict<std::string, at::IValue>(method_compile_spec);
|
|
|
|
// Return the same string as a value for every key in method_compile_spec.
|
|
auto handles = c10::Dict<std::string, std::string>();
|
|
for (const auto& it : spec) {
|
|
handles.insert(it.key(), it.key());
|
|
}
|
|
return c10::impl::toGenericDict(handles);
|
|
}
|
|
c10::impl::GenericList execute(
|
|
c10::IValue handle,
|
|
c10::impl::GenericList inputs) override {
|
|
TORCH_INTERNAL_ASSERT(handle.isString());
|
|
TORCH_INTERNAL_ASSERT(inputs.size() > 0);
|
|
|
|
c10::List<at::Tensor> output_list;
|
|
|
|
// Implement simple accumulator and negative accumulator (?) ops. Return one
|
|
// or both of them depending on the handle to make sure multiple outputs are
|
|
// handled.
|
|
c10::IValue value = inputs[0];
|
|
at::Tensor accum = value.toTensor();
|
|
accum = accum.clone();
|
|
at::Tensor sub_accum = value.toTensor();
|
|
sub_accum = sub_accum.clone();
|
|
|
|
for (size_t i = 1, e = inputs.size(); i < e; ++i) {
|
|
value = inputs[i];
|
|
accum.add_(value.toTensor(), 1.0);
|
|
sub_accum.sub_(value.toTensor(), 1.0);
|
|
}
|
|
|
|
if (handle.toStringRef() == "accum") {
|
|
output_list.emplace_back(accum);
|
|
} else if (handle.toStringRef() == "sub_accum") {
|
|
output_list.emplace_back(sub_accum);
|
|
} else if (handle.toStringRef() == "forward") {
|
|
output_list.emplace_back(accum);
|
|
output_list.emplace_back(sub_accum);
|
|
}
|
|
|
|
return c10::impl::toList(output_list);
|
|
}
|
|
};
|
|
|
|
namespace {
|
|
c10::IValue preprocess(
|
|
const Module& mod,
|
|
const c10::Dict<IValue, IValue>& method_compile_spec) {
|
|
return mod._ivalue();
|
|
}
|
|
|
|
constexpr auto backend_name = "test_backend";
|
|
static auto cls_available =
|
|
torch::jit::backend<TestBackend<true>>(backend_name);
|
|
static auto pre_reg = backend_preprocess_register(backend_name, preprocess);
|
|
|
|
constexpr auto backend_unavailable_name = "test_backend_unavailable";
|
|
static auto cls_unavailable =
|
|
torch::jit::backend<TestBackend<false>>(backend_unavailable_name);
|
|
static auto pre_reg_unavailable =
|
|
backend_preprocess_register(backend_unavailable_name, preprocess);
|
|
|
|
} // namespace
|
|
} // namespace jit
|
|
} // namespace torch
|