From 762480d9580b8b63fd1d88fff27cd74cf76c0644 Mon Sep 17 00:00:00 2001 From: Ubuntu Date: Wed, 2 Aug 2023 19:08:19 +0000 Subject: [PATCH 01/11] add resnet cpp handler --- cpp/build.sh | 10 ++-- cpp/src/examples/CMakeLists.txt | 9 ++++ .../resnet-18/resnet-18_handler.cc | 51 ++++++++++++++++++ .../resnet-18/resnet-18_handler.hh | 21 ++++++++ .../torch_scripted_backend_test.cc | 10 ++++ .../resnet-18_handler/MAR-INF/MANIFEST.json | 11 ++++ .../resnet-18_handler/libresnet-18_handler.so | Bin 0 -> 19104512 bytes 7 files changed, 109 insertions(+), 3 deletions(-) create mode 100644 cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc create mode 100644 cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.hh create mode 100644 cpp/test/resources/torchscript_model/resnet-18/resnet-18_handler/MAR-INF/MANIFEST.json create mode 100755 cpp/test/resources/torchscript_model/resnet-18/resnet-18_handler/libresnet-18_handler.so diff --git a/cpp/build.sh b/cpp/build.sh index 23df4df722..387fe842b7 100755 --- a/cpp/build.sh +++ b/cpp/build.sh @@ -246,7 +246,7 @@ function build() { if [ "$CUDA" != "" ]; then MAYBE_CUDA_COMPILER='-DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc' fi - + # Build torchserve_cpp with cmake cd "$BWD" || exit YAML_CPP_CMAKE_DIR=$DEPS_DIR/yaml-cpp-build @@ -254,7 +254,7 @@ function build() { find $FOLLY_CMAKE_DIR -name "lib*.*" -exec ln -s "{}" $LIBS_DIR/ \; if [ "$PLATFORM" = "Linux" ]; then cmake \ - -DCMAKE_PREFIX_PATH="$DEPS_DIR;$FOLLY_CMAKE_DIR;$YAML_CPP_CMAKE_DIR;$DEPS_DIR/libtorch" \ + -DCMAKE_PREFIX_PATH="$DEPS_DIR;$FOLLY_CMAKE_DIR;$YAML_CPP_CMAKE_DIR;$DEPS_DIR/libtorch;" \ -DCMAKE_INSTALL_PREFIX="$PREFIX" \ "$MAYBE_BUILD_QUIC" \ "$MAYBE_BUILD_TESTS" \ @@ -299,6 +299,10 @@ function build() { mv $DEPS_DIR/../src/examples/libmnist_handler.so $DEPS_DIR/../../test/resources/torchscript_model/mnist/mnist_handler/libmnist_handler.so fi + if [ -f "$DEPS_DIR/../src/examples/libresnet-18_handler.so" ]; then + mv $DEPS_DIR/../src/examples/libresnet-18_handler.so $DEPS_DIR/../../test/resources/torchscript_model/resnet-18/resnet-18_handler/libresnet-18_handler.so + fi + cd $DEPS_DIR/../.. if [ -f "$DEPS_DIR/../test/torchserve_cpp_test" ]; then $DEPS_DIR/../test/torchserve_cpp_test @@ -391,7 +395,7 @@ cd $BASE_DIR install_folly install_kineto -install_libtorch +#install_libtorch install_yaml_cpp build symlink_torch_libs diff --git a/cpp/src/examples/CMakeLists.txt b/cpp/src/examples/CMakeLists.txt index 4c9c534097..7e338bd718 100644 --- a/cpp/src/examples/CMakeLists.txt +++ b/cpp/src/examples/CMakeLists.txt @@ -5,3 +5,12 @@ list(APPEND MNIST_SOURCE_FILES ${MNIST_SRC_DIR}/mnist_handler.cc) add_library(mnist_handler SHARED ${MNIST_SOURCE_FILES}) target_include_directories(mnist_handler PUBLIC ${MNIST_SRC_DIR}) target_link_libraries(mnist_handler PRIVATE ts_backends_torch_scripted ts_utils ${TORCH_LIBRARIES}) + + +set(RESNET_SRC_DIR "${torchserve_cpp_SOURCE_DIR}/src/examples/image_classifier/resnet-18") + +set(RESNET_SOURCE_FILES "") +list(APPEND RESNET_SOURCE_FILES ${RESNET_SRC_DIR}/resnet-18_handler.cc) +add_library(resnet-18_handler SHARED ${RESNET_SOURCE_FILES}) +target_include_directories(resnet-18_handler PUBLIC ${RESNET_SRC_DIR}) +target_link_libraries(resnet-18_handler PRIVATE ts_backends_torch_scripted ts_utils ${TORCH_LIBRARIES}) diff --git a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc new file mode 100644 index 0000000000..7194340912 --- /dev/null +++ b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc @@ -0,0 +1,51 @@ +#include "src/examples/image_classifier/resnet-18/resnet-18_handler.hh" + +namespace resnet { +void ResnetHandler::Postprocess( + const torch::Tensor& data, + std::pair&>& idx_to_req_id, + std::shared_ptr& response_batch) { + for (const auto& kv : idx_to_req_id.second) { + try { + auto response = (*response_batch)[kv.second]; + namespace F = torch::nn::functional; + torch::Tensor new_data = + F::softmax(data[kv.first], F::SoftmaxFuncOptions(1)); + // auto topk_result = at::topk(new_data, 5, 1); + response->SetResponse(200, "data_tpye", + torchserve::PayloadType::kDATA_TYPE_BYTES, + torch::pickle_save(new_data)); + } catch (const std::runtime_error& e) { + LOG(ERROR) << "Failed to load tensor for request id:" << kv.second + << ", error: " << e.what(); + auto response = (*response_batch)[kv.second]; + response->SetResponse(500, "data_tpye", + torchserve::PayloadType::kDATA_TYPE_STRING, + "runtime_error, failed to load tensor"); + throw e; + } catch (const c10::Error& e) { + LOG(ERROR) << "Failed to load tensor for request id:" << kv.second + << ", c10 error: " << e.msg(); + auto response = (*response_batch)[kv.second]; + response->SetResponse(500, "data_tpye", + torchserve::PayloadType::kDATA_TYPE_STRING, + "c10 error, failed to load tensor"); + throw e; + } + } +} +} // namespace resnet + +#if defined(__linux__) || defined(__APPLE__) +extern "C" { +torchserve::torchscripted::BaseHandler* allocatorResnetHandler() { + return new resnet::ResnetHandler(); +} + +void deleterResnetHandler(torchserve::torchscripted::BaseHandler* p) { + if (p != nullptr) { + delete static_cast(p); + } +} +} +#endif diff --git a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.hh b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.hh new file mode 100644 index 0000000000..2eb6161535 --- /dev/null +++ b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.hh @@ -0,0 +1,21 @@ +#ifndef RESNET_HANDLER_HH_ +#define RESNET_HANDLER_HH_ + +#include "src/backends/torch_scripted/handler/base_handler.hh" + +namespace resnet { +class ResnetHandler : public torchserve::torchscripted::BaseHandler { + public: + // NOLINTBEGIN(bugprone-exception-escape) + ResnetHandler() = default; + // NOLINTEND(bugprone-exception-escape) + ~ResnetHandler() override = default; + + void Postprocess( + const torch::Tensor& data, + std::pair&>& idx_to_req_id, + std::shared_ptr& response_batch) + override; +}; +} // namespace resnet +#endif // RESNET_HANDLER_HH_ diff --git a/cpp/test/backends/torch_scripted/torch_scripted_backend_test.cc b/cpp/test/backends/torch_scripted/torch_scripted_backend_test.cc index b3099d1a2a..4d4330e934 100644 --- a/cpp/test/backends/torch_scripted/torch_scripted_backend_test.cc +++ b/cpp/test/backends/torch_scripted/torch_scripted_backend_test.cc @@ -78,6 +78,16 @@ TEST_F(TorchScriptedBackendTest, TestLoadPredictMnistHandler) { "mnist_ts", 200); } +TEST_F(TorchScriptedBackendTest, TestLoadPredictResnetHandler) { + this->LoadPredict( + std::make_shared( + "test/resources/torchscript_model/resnet-18/resnet-18_handler", + "resnet-18", -1, "", "", 1, false), + "test/resources/torchscript_model/resnet-18/resnet-18_handler", + "test/resources/torchscript_model/resnet-18/kitten.pt", "resnet-18_ts", + 200); +} + TEST_F(TorchScriptedBackendTest, TestBackendInitWrongModelDir) { auto result = backend_->Initialize("test/resources/torchscript_model/mnist"); ASSERT_EQ(result, false); diff --git a/cpp/test/resources/torchscript_model/resnet-18/resnet-18_handler/MAR-INF/MANIFEST.json b/cpp/test/resources/torchscript_model/resnet-18/resnet-18_handler/MAR-INF/MANIFEST.json new file mode 100644 index 0000000000..84bfacdcb6 --- /dev/null +++ b/cpp/test/resources/torchscript_model/resnet-18/resnet-18_handler/MAR-INF/MANIFEST.json @@ -0,0 +1,11 @@ +{ + "createdOn": "28/07/2020 06:32:08", + "runtime": "LSP", + "model": { + "modelName": "resnet-18", + "serializedFile": "resnet-18.pt", + "handler": "libresnet-18_handler:ResnetHandler", + "modelVersion": "2.0" + }, + "archiverVersion": "0.2.0" +} \ No newline at end of file diff --git a/cpp/test/resources/torchscript_model/resnet-18/resnet-18_handler/libresnet-18_handler.so 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zesHh%@fse#^V9AF_xh#e`+p?){Sd$ZpCA5kV%Pt&JI-GJaZ?Yl+XNl-~T9HehUBW_%G_)J7;+1CGGeh{4BqSN{_eK@B9aUEPwh+{OiuY#_!?r-}&ax%Qx)xKkvl{q}Ts<$??Xo^Do&q^)Er@%H+^@zI~cKRf=5zo^&!;^*|$zGr8!-|h8>_<+xE z$KP|u-*d-*`IqcSeZ3d|y7Timm=b2kfAp91x*z>%ef^FT43$d1er;U-0ger?|NURl z^>e=bKfemNdNJKkPr?)c~;_~p0${(q9U{_j8eYtct`oW1$CDvtln z-CvZie(T@&grpNR5Tz3ZFy!X3*UcP$o^ZMyu#AiPT)nsyO`zJ>y9$`JnSN(2iNX@9P4 literal 0 HcmV?d00001 From 49ddf669bef3d1b8b29f99b61fa4a0768155b23b Mon Sep 17 00:00:00 2001 From: Ubuntu Date: Thu, 3 Aug 2023 15:55:52 +0000 Subject: [PATCH 02/11] fix handler post-processing --- cpp/src/examples/CMakeLists.txt | 2 + .../resnet-18/resnet-18_handler.cc | 107 +++++++++++++++++- .../resnet-18/resnet-18_handler.hh | 7 ++ 3 files changed, 112 insertions(+), 4 deletions(-) diff --git a/cpp/src/examples/CMakeLists.txt b/cpp/src/examples/CMakeLists.txt index 7e338bd718..aa47bb2558 100644 --- a/cpp/src/examples/CMakeLists.txt +++ b/cpp/src/examples/CMakeLists.txt @@ -10,7 +10,9 @@ target_link_libraries(mnist_handler PRIVATE ts_backends_torch_scripted ts_utils set(RESNET_SRC_DIR "${torchserve_cpp_SOURCE_DIR}/src/examples/image_classifier/resnet-18") set(RESNET_SOURCE_FILES "") +set(TORCHVISION_DIR "/usr/local/include/torchvision") list(APPEND RESNET_SOURCE_FILES ${RESNET_SRC_DIR}/resnet-18_handler.cc) add_library(resnet-18_handler SHARED ${RESNET_SOURCE_FILES}) +target_include_directories(resnet-18_handler PUBLIC ${TORCHVISION_DIR}) target_include_directories(resnet-18_handler PUBLIC ${RESNET_SRC_DIR}) target_link_libraries(resnet-18_handler PRIVATE ts_backends_torch_scripted ts_utils ${TORCH_LIBRARIES}) diff --git a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc index 7194340912..5d2d3033cc 100644 --- a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc +++ b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc @@ -1,6 +1,102 @@ #include "src/examples/image_classifier/resnet-18/resnet-18_handler.hh" +#include + namespace resnet { + +std::vector ResnetHandler::Preprocess( + std::shared_ptr& device, + std::pair&>& idx_to_req_id, + std::shared_ptr& request_batch, + std::shared_ptr& response_batch) { + std::vector batch_ivalue; + std::vector batch_tensors; + uint8_t idx = 0; + for (auto& request : *request_batch) { + (*response_batch)[request.request_id] = + std::make_shared(request.request_id); + idx_to_req_id.first += idx_to_req_id.first.empty() + ? request.request_id + : "," + request.request_id; + auto data_it = + request.parameters.find(torchserve::PayloadType::kPARAMETER_NAME_DATA); + auto dtype_it = + request.headers.find(torchserve::PayloadType::kHEADER_NAME_DATA_TYPE); + if (data_it == request.parameters.end()) { + data_it = request.parameters.find( + torchserve::PayloadType::kPARAMETER_NAME_BODY); + dtype_it = + request.headers.find(torchserve::PayloadType::kHEADER_NAME_BODY_TYPE); + } + + if (data_it == request.parameters.end() || + dtype_it == request.headers.end()) { + TS_LOGF(ERROR, "Empty payload for request id: {}", request.request_id); + (*response_batch)[request.request_id]->SetResponse( + 500, "data_type", torchserve::PayloadType::kCONTENT_TYPE_TEXT, + "Empty payload"); + continue; + } + /* + case2: the image is sent as string of bytesarray + if (dtype_it->second == "String") { + try { + auto b64decoded_str = folly::base64Decode(data_it->second); + torchserve::Converter::StrToBytes(b64decoded_str, image); + } catch (folly::base64_decode_error e) { + TS_LOGF(ERROR, "Failed to base64Decode for request id: {}, error: {}", + request.request_id, + e.what()); + } + } + */ + + try { + if (dtype_it->second == torchserve::PayloadType::kDATA_TYPE_BYTES) { + // case2: the image is sent as bytesarray + // torch::serialize::InputArchive archive; + // archive.load_from(std::istringstream + // iss(std::string(data_it->second))); + /* + std::istringstream iss(std::string(data_it->second.begin(), + data_it->second.end())); torch::serialize::InputArchive archive; + images.emplace_back(archive.load_from(iss, torch::Device device); + + std::vector bytes( + static_cast(*data_it->second.begin()), + static_cast(*data_it->second.end())); + + images.emplace_back(torch::pickle_load(bytes).toTensor().to(*device)); + */ + batch_tensors.emplace_back( + torch::pickle_load(data_it->second).toTensor().to(*device)); + idx_to_req_id.second[idx++] = request.request_id; + } else if (dtype_it->second == "List") { + // case3: the image is a list + } + } catch (const std::runtime_error& e) { + TS_LOGF(ERROR, "Failed to load tensor for request id: {}, error: {}", + request.request_id, e.what()); + auto response = (*response_batch)[request.request_id]; + response->SetResponse(500, "data_type", + torchserve::PayloadType::kDATA_TYPE_STRING, + "runtime_error, failed to load tensor"); + } catch (const c10::Error& e) { + TS_LOGF(ERROR, "Failed to load tensor for request id: {}, c10 error: {}", + request.request_id, e.msg()); + auto response = (*response_batch)[request.request_id]; + response->SetResponse(500, "data_type", + torchserve::PayloadType::kDATA_TYPE_STRING, + "c10 error, failed to load tensor"); + } + } + if (!batch_tensors.empty()) { + batch_ivalue.emplace_back(torch::stack(batch_tensors).to(*device)); + } + + return batch_ivalue; +} + void ResnetHandler::Postprocess( const torch::Tensor& data, std::pair&>& idx_to_req_id, @@ -9,12 +105,15 @@ void ResnetHandler::Postprocess( try { auto response = (*response_batch)[kv.second]; namespace F = torch::nn::functional; - torch::Tensor new_data = - F::softmax(data[kv.first], F::SoftmaxFuncOptions(1)); - // auto topk_result = at::topk(new_data, 5, 1); + torch::Tensor ps = F::softmax(data, F::SoftmaxFuncOptions(1)); + std::tuple result = + torch::topk(ps, 5, 1, true, true); + auto [probs, classes] = result; + // tensor([[0.4097, 0.3467, 0.1300, 0.0239, 0.0115]]) tensor([[281, 282, + // 285, 287, 463]]) response->SetResponse(200, "data_tpye", torchserve::PayloadType::kDATA_TYPE_BYTES, - torch::pickle_save(new_data)); + torch::pickle_save(probs[kv.first])); } catch (const std::runtime_error& e) { LOG(ERROR) << "Failed to load tensor for request id:" << kv.second << ", error: " << e.what(); diff --git a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.hh b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.hh index 2eb6161535..d371d61a46 100644 --- a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.hh +++ b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.hh @@ -11,6 +11,13 @@ class ResnetHandler : public torchserve::torchscripted::BaseHandler { // NOLINTEND(bugprone-exception-escape) ~ResnetHandler() override = default; + std::vector Preprocess( + std::shared_ptr& device, + std::pair&>& idx_to_req_id, + std::shared_ptr& request_batch, + std::shared_ptr& response_batch) + override; + void Postprocess( const torch::Tensor& data, std::pair&>& idx_to_req_id, From a7817962e0f766fc20886604523fe6a5ffaf2d51 Mon Sep 17 00:00:00 2001 From: jagadeesh Date: Tue, 8 Aug 2023 23:33:25 +0530 Subject: [PATCH 03/11] add opencv pre-processing Signed-off-by: jagadeesh --- cpp/src/examples/CMakeLists.txt | 9 ++-- .../resnet-18/resnet-18_handler.cc | 46 ++++++++++++++++-- .../torchscript_model/resnet-18/kitten.jpg | Bin 0 -> 110969 bytes .../resnet-18_handler/libresnet-18_handler.so | Bin 19104512 -> 0 bytes 4 files changed, 48 insertions(+), 7 deletions(-) create mode 100644 cpp/test/resources/torchscript_model/resnet-18/kitten.jpg delete mode 100755 cpp/test/resources/torchscript_model/resnet-18/resnet-18_handler/libresnet-18_handler.so diff --git a/cpp/src/examples/CMakeLists.txt b/cpp/src/examples/CMakeLists.txt index aa47bb2558..5a97cfb81c 100644 --- a/cpp/src/examples/CMakeLists.txt +++ b/cpp/src/examples/CMakeLists.txt @@ -4,15 +4,16 @@ set(MNIST_SOURCE_FILES "") list(APPEND MNIST_SOURCE_FILES ${MNIST_SRC_DIR}/mnist_handler.cc) add_library(mnist_handler SHARED ${MNIST_SOURCE_FILES}) target_include_directories(mnist_handler PUBLIC ${MNIST_SRC_DIR}) -target_link_libraries(mnist_handler PRIVATE ts_backends_torch_scripted ts_utils ${TORCH_LIBRARIES}) +target_link_libraries(mnist_handler PRIVATE ts_backends_torch_scripted ts_utils ${TORCH_LIBRARIES}) set(RESNET_SRC_DIR "${torchserve_cpp_SOURCE_DIR}/src/examples/image_classifier/resnet-18") set(RESNET_SOURCE_FILES "") -set(TORCHVISION_DIR "/usr/local/include/torchvision") +set(OPENCV_DIR "/usr/local/include/opencv4") list(APPEND RESNET_SOURCE_FILES ${RESNET_SRC_DIR}/resnet-18_handler.cc) add_library(resnet-18_handler SHARED ${RESNET_SOURCE_FILES}) -target_include_directories(resnet-18_handler PUBLIC ${TORCHVISION_DIR}) +target_include_directories(resnet-18_handler PUBLIC ${OPENCV_DIR}) target_include_directories(resnet-18_handler PUBLIC ${RESNET_SRC_DIR}) -target_link_libraries(resnet-18_handler PRIVATE ts_backends_torch_scripted ts_utils ${TORCH_LIBRARIES}) +target_link_libraries(resnet-18_handler PRIVATE ts_backends_torch_scripted ts_utils ${TORCH_LIBRARIES}) +target_link_libraries(resnet-18_handler PRIVATE "/usr/local/lib/libopencv_imgcodecs.so") diff --git a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc index 5d2d3033cc..28b01c3354 100644 --- a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc +++ b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc @@ -1,6 +1,6 @@ #include "src/examples/image_classifier/resnet-18/resnet-18_handler.hh" -#include +#include namespace resnet { @@ -68,8 +68,48 @@ std::vector ResnetHandler::Preprocess( images.emplace_back(torch::pickle_load(bytes).toTensor().to(*device)); */ - batch_tensors.emplace_back( - torch::pickle_load(data_it->second).toTensor().to(*device)); + + cv::Mat image = cv::imdecode(data_it->second, cv::IMREAD_COLOR); + + cv::cvtColor(image, image, cv::COLOR_BGR2RGB); + + // Check if the image was successfully decoded + if (image.empty()) { + std::cerr << "Failed to decode the image." << std::endl; + } + + // Resize + const int newWidth = 256, newHeight = 256; + cv::Mat resizedImage; + cv::resize(image, resizedImage, cv::Size(newWidth, newHeight)); + + // Crop image + const int cropSize = 224; + const int offsetW = (resizedImage.cols - cropSize) / 2; + const int offsetH = (resizedImage.rows - cropSize) / 2; + + const cv::Rect roi(offsetW, offsetH, cropSize, cropSize); + cv::Mat croppedImage = resizedImage(roi).clone(); + + // Convert the OpenCV image to a torch tensor + // Drift in cropped image + // Vision Crop: 114, 118, 115, 102, 106, 97 + // OpenCV Crop: 113, 118, 114, 100, 106, 97 + torch::TensorOptions options(torch::kByte); + torch::Tensor tensorImage = torch::from_blob( + croppedImage.data, + {croppedImage.rows, croppedImage.cols, croppedImage.channels()}, + options); + + tensorImage = tensorImage.permute({2, 0, 1}); + tensorImage = tensorImage.to(torch::kFloat32) / 255.0; + + // Normalize + torch::Tensor normalizedTensorImage = + torch::data::transforms::Normalize<>( + {0.485, 0.456, 0.406}, {0.229, 0.224, 0.225})(tensorImage); + normalizedTensorImage.clone(); + batch_tensors.emplace_back(normalizedTensorImage.to(*device)); idx_to_req_id.second[idx++] = request.request_id; } else if (dtype_it->second == "List") { // case3: the image is a list diff --git a/cpp/test/resources/torchscript_model/resnet-18/kitten.jpg b/cpp/test/resources/torchscript_model/resnet-18/kitten.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ffcd2be2c674fddc4886117c12f3b29e4367aba8 GIT binary patch literal 110969 zcmb5VcUY4_vo{=iuY!VvW@w=(-9YFiK#%|dsftwTCG;X4M37EEg@j%Oq(}fokRnwD z450`}7YH4s34$*^=R4e-{AEaF`wpKypRmB;o+T z-))jgBNuOfZ$B4rA3mAek^qQ?o&h;I;EG6+fh1M{GA=uj~Ml`T+!8{QZ3t@7(dU3-8h z{zoFI%UEPz8L7bZSc` zmSbApr)s;zbVXyiE1kDM91J%TuHXL{3(26dP%uz`P`Gd{IlLP2%DGe6u!Y^SZJG^T 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zesHh%@fse#^V9AF_xh#e`+p?){Sd$ZpCA5kV%Pt&JI-GJaZ?Yl+XNl-~T9HehUBW_%G_)J7;+1CGGeh{4BqSN{_eK@B9aUEPwh+{OiuY#_!?r-}&ax%Qx)xKkvl{q}Ts<$??Xo^Do&q^)Er@%H+^@zI~cKRf=5zo^&!;^*|$zGr8!-|h8>_<+xE z$KP|u-*d-*`IqcSeZ3d|y7Timm=b2kfAp91x*z>%ef^FT43$d1er;U-0ger?|NURl z^>e=bKfemNdNJKkPr?)c~;_~p0${(q9U{_j8eYtct`oW1$CDvtln z-CvZie(T@&grpNR5Tz3ZFy!X3*UcP$o^ZMyu#AiPT)nsyO`zJ>y9$`JnSN(2iNX@9P4 From ec7e7f63137cd597b82b0847ba837ed8ec87fd39 Mon Sep 17 00:00:00 2001 From: jagadeesh Date: Thu, 10 Aug 2023 00:34:04 +0530 Subject: [PATCH 04/11] fix pre-processing Signed-off-by: jagadeesh --- .../resnet-18/resnet-18_handler.cc | 51 +++++++++---------- 1 file changed, 25 insertions(+), 26 deletions(-) diff --git a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc index 28b01c3354..db82dae236 100644 --- a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc +++ b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc @@ -71,45 +71,44 @@ std::vector ResnetHandler::Preprocess( cv::Mat image = cv::imdecode(data_it->second, cv::IMREAD_COLOR); - cv::cvtColor(image, image, cv::COLOR_BGR2RGB); - // Check if the image was successfully decoded if (image.empty()) { std::cerr << "Failed to decode the image." << std::endl; } - // Resize - const int newWidth = 256, newHeight = 256; - cv::Mat resizedImage; - cv::resize(image, resizedImage, cv::Size(newWidth, newHeight)); - // Crop image - const int cropSize = 224; - const int offsetW = (resizedImage.cols - cropSize) / 2; - const int offsetH = (resizedImage.rows - cropSize) / 2; + const int rows = image.rows; + const int cols = image.cols; + + const int cropSize = std::min(rows, cols); + const int offsetW = (cols - cropSize) / 2; + const int offsetH = (rows - cropSize) / 2; const cv::Rect roi(offsetW, offsetH, cropSize, cropSize); - cv::Mat croppedImage = resizedImage(roi).clone(); + image = image(roi); - // Convert the OpenCV image to a torch tensor - // Drift in cropped image - // Vision Crop: 114, 118, 115, 102, 106, 97 - // OpenCV Crop: 113, 118, 114, 100, 106, 97 - torch::TensorOptions options(torch::kByte); - torch::Tensor tensorImage = torch::from_blob( - croppedImage.data, - {croppedImage.rows, croppedImage.cols, croppedImage.channels()}, - options); + // Resize + cv::resize(image, image, cv::Size(224, 224)); + // Convert BGR to RGB format + cv::cvtColor(image, image, cv::COLOR_BGR2RGB); + + image.convertTo(image, CV_32FC3, 1 / 255.0); + + // Convert the OpenCV image to a torch tensor + torch::Tensor tensorImage = torch::from_blob(image.data, {image.rows, image.cols, 3}, c10::kFloat); tensorImage = tensorImage.permute({2, 0, 1}); - tensorImage = tensorImage.to(torch::kFloat32) / 255.0; + tensorImage.unsqueeze_(0); // Normalize - torch::Tensor normalizedTensorImage = - torch::data::transforms::Normalize<>( - {0.485, 0.456, 0.406}, {0.229, 0.224, 0.225})(tensorImage); - normalizedTensorImage.clone(); - batch_tensors.emplace_back(normalizedTensorImage.to(*device)); + std::vector norm_mean = {0.485, 0.456, 0.406}; + std::vector norm_std = {0.229, 0.224, 0.225}; + + tensorImage = + torch::data::transforms::Normalize<>(norm_mean, norm_std)(tensorImage); + + tensorImage.clone(); + batch_tensors.emplace_back(tensorImage.to(*device)); idx_to_req_id.second[idx++] = request.request_id; } else if (dtype_it->second == "List") { // case3: the image is a list From 327ad4dc373833893dc96f9abc5aeb4c584dfd0a Mon Sep 17 00:00:00 2001 From: jagadeesh Date: Fri, 11 Aug 2023 12:29:50 +0530 Subject: [PATCH 05/11] code refactor Signed-off-by: jagadeesh --- .../resnet-18/resnet-18_handler.cc | 32 +++++++++++++------ 1 file changed, 22 insertions(+), 10 deletions(-) diff --git a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc index db82dae236..fd04a36c53 100644 --- a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc +++ b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc @@ -4,6 +4,15 @@ namespace resnet { +constexpr int kTargetImageSize = 224; +constexpr double kImageNormalizationMeanR = 0.485; +constexpr double kImageNormalizationMeanG = 0.456; +constexpr double kImageNormalizationMeanB = 0.406; +constexpr double kImageNormalizationStdR = 0.229; +constexpr double kImageNormalizationStdG = 0.224; +constexpr double kImageNormalizationStdB = 0.225; +constexpr int kTopKClasses = 5; + std::vector ResnetHandler::Preprocess( std::shared_ptr& device, std::pair&>& idx_to_req_id, @@ -88,7 +97,7 @@ std::vector ResnetHandler::Preprocess( image = image(roi); // Resize - cv::resize(image, image, cv::Size(224, 224)); + cv::resize(image, image, cv::Size(kTargetImageSize, kTargetImageSize)); // Convert BGR to RGB format cv::cvtColor(image, image, cv::COLOR_BGR2RGB); @@ -96,16 +105,16 @@ std::vector ResnetHandler::Preprocess( image.convertTo(image, CV_32FC3, 1 / 255.0); // Convert the OpenCV image to a torch tensor - torch::Tensor tensorImage = torch::from_blob(image.data, {image.rows, image.cols, 3}, c10::kFloat); + torch::Tensor tensorImage = torch::from_blob( + image.data, {image.rows, image.cols, 3}, c10::kFloat); tensorImage = tensorImage.permute({2, 0, 1}); - tensorImage.unsqueeze_(0); // Normalize - std::vector norm_mean = {0.485, 0.456, 0.406}; - std::vector norm_std = {0.229, 0.224, 0.225}; + std::vector norm_mean = {kImageNormalizationMeanR, kImageNormalizationMeanG, kImageNormalizationMeanB}; + std::vector norm_std = {kImageNormalizationStdR, kImageNormalizationStdG, kImageNormalizationStdB}; - tensorImage = - torch::data::transforms::Normalize<>(norm_mean, norm_std)(tensorImage); + tensorImage = torch::data::transforms::Normalize<>( + norm_mean, norm_std)(tensorImage); tensorImage.clone(); batch_tensors.emplace_back(tensorImage.to(*device)); @@ -144,12 +153,14 @@ void ResnetHandler::Postprocess( try { auto response = (*response_batch)[kv.second]; namespace F = torch::nn::functional; + + // Perform softmax and top-k operations torch::Tensor ps = F::softmax(data, F::SoftmaxFuncOptions(1)); std::tuple result = - torch::topk(ps, 5, 1, true, true); + torch::topk(ps, kTopKClasses, 1, true, true); auto [probs, classes] = result; - // tensor([[0.4097, 0.3467, 0.1300, 0.0239, 0.0115]]) tensor([[281, 282, - // 285, 287, 463]]) + + // Serialize and set the response response->SetResponse(200, "data_tpye", torchserve::PayloadType::kDATA_TYPE_BYTES, torch::pickle_save(probs[kv.first])); @@ -172,6 +183,7 @@ void ResnetHandler::Postprocess( } } } + } // namespace resnet #if defined(__linux__) || defined(__APPLE__) From 2216b0000c88cfa7f612a2fb37ca30ee00cc5d92 Mon Sep 17 00:00:00 2001 From: jagadeesh Date: Fri, 18 Aug 2023 10:27:50 +0530 Subject: [PATCH 06/11] change response to json format Signed-off-by: jagadeesh --- .../resnet-18/resnet-18_handler.cc | 53 +++++++++++++++++-- 1 file changed, 49 insertions(+), 4 deletions(-) diff --git a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc index fd04a36c53..97d2568e72 100644 --- a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc +++ b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc @@ -1,5 +1,8 @@ #include "src/examples/image_classifier/resnet-18/resnet-18_handler.hh" +#include +#include + #include namespace resnet { @@ -82,7 +85,7 @@ std::vector ResnetHandler::Preprocess( // Check if the image was successfully decoded if (image.empty()) { - std::cerr << "Failed to decode the image." << std::endl; + std::cerr << "Failed to decode the image.\n"; } // Crop image @@ -110,8 +113,12 @@ std::vector ResnetHandler::Preprocess( tensorImage = tensorImage.permute({2, 0, 1}); // Normalize - std::vector norm_mean = {kImageNormalizationMeanR, kImageNormalizationMeanG, kImageNormalizationMeanB}; - std::vector norm_std = {kImageNormalizationStdR, kImageNormalizationStdG, kImageNormalizationStdB}; + std::vector norm_mean = {kImageNormalizationMeanR, + kImageNormalizationMeanG, + kImageNormalizationMeanB}; + std::vector norm_std = {kImageNormalizationStdR, + kImageNormalizationStdG, + kImageNormalizationStdB}; tensorImage = torch::data::transforms::Normalize<>( norm_mean, norm_std)(tensorImage); @@ -149,6 +156,18 @@ void ResnetHandler::Postprocess( const torch::Tensor& data, std::pair&>& idx_to_req_id, std::shared_ptr& response_batch) { + std::ifstream jsonFile("index_to_name.json"); + if (!jsonFile.is_open()) { + std::cerr << "Failed to open JSON file.\n"; + return 1; + } + std::string jsonString((std::istreambuf_iterator(jsonFile)), std::istreambuf_iterator()); + jsonFile.close(); + folly::dynamic parsedJson = folly::parseJson(jsonString); + if (!parsedJson.isObject()) { + std::cerr << "Invalid JSON format.\n"; + return 1; + } for (const auto& kv : idx_to_req_id.second) { try { auto response = (*response_batch)[kv.second]; @@ -160,10 +179,36 @@ void ResnetHandler::Postprocess( torch::topk(ps, kTopKClasses, 1, true, true); auto [probs, classes] = result; + // Convert tensors to C++ vectors + std::vector probs_vector(probs.data(), + probs.data() + probs.numel()); + std::vector classes_vector(classes.data(), + classes.data() + classes.numel()); + + // Create a JSON object using folly::dynamic + folly::dynamic json_response = folly::dynamic::object; + // Create a folly::dynamic array to hold tensor elements + folly::dynamic probability = folly::dynamic::array; + folly::dynamic class_names = folly::dynamic::array; + + // Iterate through tensor elements and add them to the dynamic_array + for (const float& value : probs_vector) { + probability.push_back(value); + } + for (const long& value : classes_vector) { + class_names.push_back(value); + } + // Add key-value pairs to the JSON object + json_response["probability"] = probability; + json_response["classes"] = class_names; + + // Serialize the JSON object to a string + std::string json_str = folly::toJson(json_response); + // Serialize and set the response response->SetResponse(200, "data_tpye", torchserve::PayloadType::kDATA_TYPE_BYTES, - torch::pickle_save(probs[kv.first])); + json_str); } catch (const std::runtime_error& e) { LOG(ERROR) << "Failed to load tensor for request id:" << kv.second << ", error: " << e.what(); From 2e747281a0874aef45061728386007ab2650040e Mon Sep 17 00:00:00 2001 From: jagadeesh Date: Tue, 22 Aug 2023 06:59:02 +0530 Subject: [PATCH 07/11] remove return 1 Signed-off-by: jagadeesh --- .../image_classifier/resnet-18/resnet-18_handler.cc | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc index 97d2568e72..f65a77aec4 100644 --- a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc +++ b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc @@ -1,8 +1,8 @@ #include "src/examples/image_classifier/resnet-18/resnet-18_handler.hh" #include -#include +#include #include namespace resnet { @@ -158,15 +158,14 @@ void ResnetHandler::Postprocess( std::shared_ptr& response_batch) { std::ifstream jsonFile("index_to_name.json"); if (!jsonFile.is_open()) { - std::cerr << "Failed to open JSON file.\n"; - return 1; + std::cerr << "Failed to open JSON file.\n"; } - std::string jsonString((std::istreambuf_iterator(jsonFile)), std::istreambuf_iterator()); + std::string jsonString((std::istreambuf_iterator(jsonFile)), + std::istreambuf_iterator()); jsonFile.close(); folly::dynamic parsedJson = folly::parseJson(jsonString); if (!parsedJson.isObject()) { - std::cerr << "Invalid JSON format.\n"; - return 1; + std::cerr << "Invalid JSON format.\n"; } for (const auto& kv : idx_to_req_id.second) { try { From beefa507ad3791596fecb97a108372ca8ba3e0a3 Mon Sep 17 00:00:00 2001 From: jagadeesh Date: Tue, 22 Aug 2023 07:00:23 +0530 Subject: [PATCH 08/11] fix resnet test Signed-off-by: jagadeesh --- cpp/test/backends/torch_scripted/torch_scripted_backend_test.cc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/cpp/test/backends/torch_scripted/torch_scripted_backend_test.cc b/cpp/test/backends/torch_scripted/torch_scripted_backend_test.cc index 4d4330e934..13dde46da2 100644 --- a/cpp/test/backends/torch_scripted/torch_scripted_backend_test.cc +++ b/cpp/test/backends/torch_scripted/torch_scripted_backend_test.cc @@ -84,7 +84,7 @@ TEST_F(TorchScriptedBackendTest, TestLoadPredictResnetHandler) { "test/resources/torchscript_model/resnet-18/resnet-18_handler", "resnet-18", -1, "", "", 1, false), "test/resources/torchscript_model/resnet-18/resnet-18_handler", - "test/resources/torchscript_model/resnet-18/kitten.pt", "resnet-18_ts", + "test/resources/torchscript_model/resnet-18/kitten.jpg", "resnet-18_ts", 200); } From 46fadcd140ea2d67391d849d773aa08d1756ce1d Mon Sep 17 00:00:00 2001 From: jagadeesh Date: Fri, 25 Aug 2023 15:30:32 +0530 Subject: [PATCH 09/11] move tensors to cpu for json conversion Signed-off-by: jagadeesh --- cpp/build.sh | 17 ++++++++++++----- .../resnet-18/resnet-18_handler.cc | 13 ++++++++----- 2 files changed, 20 insertions(+), 10 deletions(-) diff --git a/cpp/build.sh b/cpp/build.sh index 387fe842b7..79fc385e51 100755 --- a/cpp/build.sh +++ b/cpp/build.sh @@ -25,7 +25,6 @@ function install_dependencies_linux() { autoconf \ automake \ git \ - cmake \ m4 \ g++ \ flex \ @@ -175,6 +174,14 @@ function install_libtorch() { wget https://download.pytorch.org/libtorch/cu116/libtorch-cxx11-abi-shared-with-deps-1.12.1%2Bcu116.zip unzip libtorch-cxx11-abi-shared-with-deps-1.12.1+cu116.zip rm libtorch-cxx11-abi-shared-with-deps-1.12.1+cu116.zip + elif [ "$CUDA" = "cu117" ]; then + wget https://download.pytorch.org/libtorch/cu117/libtorch-cxx11-abi-shared-with-deps-2.0.1%2Bcu117.zip + unzip libtorch-cxx11-abi-shared-with-deps-2.0.1+cu117.zip + rm libtorch-cxx11-abi-shared-with-deps-2.0.1+cu117.zip + elif [ "$CUDA" = "cu118" ]; then + wget https://download.pytorch.org/libtorch/cu118/libtorch-cxx11-abi-shared-with-deps-2.0.1%2Bcu118.zip + unzip libtorch-cxx11-abi-shared-with-deps-2.0.1+cu118.zip + rm libtorch-cxx11-abi-shared-with-deps-2.0.1+cu118.zip else wget https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-1.12.1%2Bcpu.zip unzip libtorch-cxx11-abi-shared-with-deps-1.12.1+cpu.zip @@ -246,7 +253,7 @@ function build() { if [ "$CUDA" != "" ]; then MAYBE_CUDA_COMPILER='-DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc' fi - + # Build torchserve_cpp with cmake cd "$BWD" || exit YAML_CPP_CMAKE_DIR=$DEPS_DIR/yaml-cpp-build @@ -265,7 +272,7 @@ function build() { "$MAYBE_CUDA_COMPILER" \ .. - if [ "$CUDA" = "cu102" ] || [ "$CUDA" = "cu113" ] || [ "$CUDA" = "cu116" ]; then + if [ "$CUDA" = "cu102" ] || [ "$CUDA" = "cu113" ] || [ "$CUDA" = "cu116" ] || [ "$CUDA" = "cu117" ] || [ "$CUDA" = "cu118" ]; then export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/cuda/bin/nvcc fi elif [ "$PLATFORM" = "Mac" ]; then @@ -333,7 +340,7 @@ INSTALL_DEPENDENCIES=false PREFIX="" COMPILER_FLAGS="" CUDA="" -USAGE="./build.sh [-j num_jobs] [-g cu102|cu113|cu116] [-q|--with-quic] [--install-dependencies] [-p|--prefix] [-x|--compiler-flags]" +USAGE="./build.sh [-j num_jobs] [-g cu102|cu113|cu116|cu117|cu118] [-q|--with-quic] [--install-dependencies] [-p|--prefix] [-x|--compiler-flags]" while [ "$1" != "" ]; do case $1 in -j | --jobs ) shift @@ -395,7 +402,7 @@ cd $BASE_DIR install_folly install_kineto -#install_libtorch +install_libtorch install_yaml_cpp build symlink_torch_libs diff --git a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc index f65a77aec4..eb65d88b98 100644 --- a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc +++ b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc @@ -176,13 +176,16 @@ void ResnetHandler::Postprocess( torch::Tensor ps = F::softmax(data, F::SoftmaxFuncOptions(1)); std::tuple result = torch::topk(ps, kTopKClasses, 1, true, true); - auto [probs, classes] = result; + torch::Tensor probs = std::get<0>(result); + torch::Tensor classes = std::get<1>(result); + probs = probs.to(torch::kCPU); + classes = classes.to(torch::kCPU); // Convert tensors to C++ vectors - std::vector probs_vector(probs.data(), - probs.data() + probs.numel()); - std::vector classes_vector(classes.data(), - classes.data() + classes.numel()); + std::vector probs_vector(probs.data_ptr(), + probs.data_ptr() + probs.numel()); + std::vector classes_vector( + classes.data_ptr(), classes.data_ptr() + classes.numel()); // Create a JSON object using folly::dynamic folly::dynamic json_response = folly::dynamic::object; From d4a431a4915776b4cd33d7c8be6b19b7a48451ea Mon Sep 17 00:00:00 2001 From: jagadeesh Date: Wed, 30 Aug 2023 23:44:26 +0530 Subject: [PATCH 10/11] add opencv gpu support Signed-off-by: jagadeesh --- cpp/src/examples/CMakeLists.txt | 3 ++ .../resnet-18/resnet-18_handler.cc | 31 +++++++++++++------ 2 files changed, 25 insertions(+), 9 deletions(-) diff --git a/cpp/src/examples/CMakeLists.txt b/cpp/src/examples/CMakeLists.txt index 5a97cfb81c..70a93cbe6e 100644 --- a/cpp/src/examples/CMakeLists.txt +++ b/cpp/src/examples/CMakeLists.txt @@ -17,3 +17,6 @@ target_include_directories(resnet-18_handler PUBLIC ${OPENCV_DIR}) target_include_directories(resnet-18_handler PUBLIC ${RESNET_SRC_DIR}) target_link_libraries(resnet-18_handler PRIVATE ts_backends_torch_scripted ts_utils ${TORCH_LIBRARIES}) target_link_libraries(resnet-18_handler PRIVATE "/usr/local/lib/libopencv_imgcodecs.so") +target_link_libraries(resnet-18_handler PRIVATE "/usr/local/lib/libopencv_cudawarping.so") +target_link_libraries(resnet-18_handler PRIVATE "/usr/local/lib/libopencv_cudaimgproc.so") +target_link_libraries(resnet-18_handler PRIVATE "/usr/local/lib/libopencv_core.so") diff --git a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc index eb65d88b98..741fcfdf22 100644 --- a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc +++ b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc @@ -3,6 +3,8 @@ #include #include +#include +#include #include namespace resnet { @@ -88,7 +90,6 @@ std::vector ResnetHandler::Preprocess( std::cerr << "Failed to decode the image.\n"; } - // Crop image const int rows = image.rows; const int cols = image.cols; @@ -99,20 +100,31 @@ std::vector ResnetHandler::Preprocess( const cv::Rect roi(offsetW, offsetH, cropSize, cropSize); image = image(roi); - // Resize - cv::resize(image, image, cv::Size(kTargetImageSize, kTargetImageSize)); + // Convert the image to GPU Mat + cv::cuda::GpuMat gpuImage; + cv::Mat resultImage; - // Convert BGR to RGB format - cv::cvtColor(image, image, cv::COLOR_BGR2RGB); + gpuImage.upload(image); - image.convertTo(image, CV_32FC3, 1 / 255.0); + // Resize on GPU + cv::cuda::resize(gpuImage, gpuImage, + cv::Size(kTargetImageSize, kTargetImageSize)); - // Convert the OpenCV image to a torch tensor + // Convert to BGR on GPU + cv::cuda::cvtColor(gpuImage, gpuImage, cv::COLOR_BGR2RGB); + + // Convert to float on GPU + gpuImage.convertTo(gpuImage, CV_32FC3, 1 / 255.0); + + // Download the final image from GPU to CPU + gpuImage.download(resultImage); + + // Create a tensor from the CPU Mat torch::Tensor tensorImage = torch::from_blob( - image.data, {image.rows, image.cols, 3}, c10::kFloat); + resultImage.data, {resultImage.rows, resultImage.cols, 3}, + torch::kFloat); tensorImage = tensorImage.permute({2, 0, 1}); - // Normalize std::vector norm_mean = {kImageNormalizationMeanR, kImageNormalizationMeanG, kImageNormalizationMeanB}; @@ -120,6 +132,7 @@ std::vector ResnetHandler::Preprocess( kImageNormalizationStdG, kImageNormalizationStdB}; + // Normalize the tensor tensorImage = torch::data::transforms::Normalize<>( norm_mean, norm_std)(tensorImage); From 3a6df4edba5f04a683bef927a04a522e09171966 Mon Sep 17 00:00:00 2001 From: jagadeesh Date: Mon, 18 Sep 2023 23:29:54 +0530 Subject: [PATCH 11/11] - add separate cmakelists - cleanup Signed-off-by: jagadeesh --- cpp/src/examples/CMakeLists.txt | 23 +---------- .../examples/image_classifier/CMakeLists.txt | 19 +++++++++ .../resnet-18/resnet-18_handler.cc | 40 ------------------- 3 files changed, 21 insertions(+), 61 deletions(-) create mode 100644 cpp/src/examples/image_classifier/CMakeLists.txt diff --git a/cpp/src/examples/CMakeLists.txt b/cpp/src/examples/CMakeLists.txt index 70a93cbe6e..b9e778fd1c 100644 --- a/cpp/src/examples/CMakeLists.txt +++ b/cpp/src/examples/CMakeLists.txt @@ -1,22 +1,3 @@ -set(MNIST_SRC_DIR "${torchserve_cpp_SOURCE_DIR}/src/examples/image_classifier/mnist") +find_package(OpenCV REQUIRED) -set(MNIST_SOURCE_FILES "") -list(APPEND MNIST_SOURCE_FILES ${MNIST_SRC_DIR}/mnist_handler.cc) -add_library(mnist_handler SHARED ${MNIST_SOURCE_FILES}) -target_include_directories(mnist_handler PUBLIC ${MNIST_SRC_DIR}) -target_link_libraries(mnist_handler PRIVATE ts_backends_torch_scripted ts_utils ${TORCH_LIBRARIES}) - - -set(RESNET_SRC_DIR "${torchserve_cpp_SOURCE_DIR}/src/examples/image_classifier/resnet-18") - -set(RESNET_SOURCE_FILES "") -set(OPENCV_DIR "/usr/local/include/opencv4") -list(APPEND RESNET_SOURCE_FILES ${RESNET_SRC_DIR}/resnet-18_handler.cc) -add_library(resnet-18_handler SHARED ${RESNET_SOURCE_FILES}) -target_include_directories(resnet-18_handler PUBLIC ${OPENCV_DIR}) -target_include_directories(resnet-18_handler PUBLIC ${RESNET_SRC_DIR}) -target_link_libraries(resnet-18_handler PRIVATE ts_backends_torch_scripted ts_utils ${TORCH_LIBRARIES}) -target_link_libraries(resnet-18_handler PRIVATE "/usr/local/lib/libopencv_imgcodecs.so") -target_link_libraries(resnet-18_handler PRIVATE "/usr/local/lib/libopencv_cudawarping.so") -target_link_libraries(resnet-18_handler PRIVATE "/usr/local/lib/libopencv_cudaimgproc.so") -target_link_libraries(resnet-18_handler PRIVATE "/usr/local/lib/libopencv_core.so") +add_subdirectory(image_classifier) diff --git a/cpp/src/examples/image_classifier/CMakeLists.txt b/cpp/src/examples/image_classifier/CMakeLists.txt new file mode 100644 index 0000000000..a5a5456040 --- /dev/null +++ b/cpp/src/examples/image_classifier/CMakeLists.txt @@ -0,0 +1,19 @@ +set(MNIST_SRC_DIR "${torchserve_cpp_SOURCE_DIR}/src/examples/image_classifier/mnist") + +set(MNIST_SOURCE_FILES "") +list(APPEND MNIST_SOURCE_FILES ${MNIST_SRC_DIR}/mnist_handler.cc) +add_library(mnist_handler SHARED ${MNIST_SOURCE_FILES}) +target_include_directories(mnist_handler PUBLIC ${MNIST_SRC_DIR}) +target_link_libraries(mnist_handler PRIVATE ts_backends_torch_scripted ts_utils ${TORCH_LIBRARIES}) + +set(RESNET_SRC_DIR "${torchserve_cpp_SOURCE_DIR}/src/examples/image_classifier/resnet-18") + +set(RESNET_SOURCE_FILES "") + +list(APPEND RESNET_SOURCE_FILES ${RESNET_SRC_DIR}/resnet-18_handler.cc) +add_library(resnet-18_handler SHARED ${RESNET_SOURCE_FILES}) +target_include_directories(resnet-18_handler PUBLIC ${OPENCV_DIR}) +target_include_directories(resnet-18_handler PUBLIC ${RESNET_SRC_DIR}) +target_link_libraries(resnet-18_handler PRIVATE ts_backends_torch_scripted ts_utils ${TORCH_LIBRARIES}) +include_directories( ${OpenCV_INCLUDE_DIRS} ) +target_link_libraries( resnet-18_handler PRIVATE ${OpenCV_LIBS} ) diff --git a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc index 741fcfdf22..06b71098b2 100644 --- a/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc +++ b/cpp/src/examples/image_classifier/resnet-18/resnet-18_handler.cc @@ -51,38 +51,9 @@ std::vector ResnetHandler::Preprocess( "Empty payload"); continue; } - /* - case2: the image is sent as string of bytesarray - if (dtype_it->second == "String") { - try { - auto b64decoded_str = folly::base64Decode(data_it->second); - torchserve::Converter::StrToBytes(b64decoded_str, image); - } catch (folly::base64_decode_error e) { - TS_LOGF(ERROR, "Failed to base64Decode for request id: {}, error: {}", - request.request_id, - e.what()); - } - } - */ try { if (dtype_it->second == torchserve::PayloadType::kDATA_TYPE_BYTES) { - // case2: the image is sent as bytesarray - // torch::serialize::InputArchive archive; - // archive.load_from(std::istringstream - // iss(std::string(data_it->second))); - /* - std::istringstream iss(std::string(data_it->second.begin(), - data_it->second.end())); torch::serialize::InputArchive archive; - images.emplace_back(archive.load_from(iss, torch::Device device); - - std::vector bytes( - static_cast(*data_it->second.begin()), - static_cast(*data_it->second.end())); - - images.emplace_back(torch::pickle_load(bytes).toTensor().to(*device)); - */ - cv::Mat image = cv::imdecode(data_it->second, cv::IMREAD_COLOR); // Check if the image was successfully decoded @@ -169,17 +140,6 @@ void ResnetHandler::Postprocess( const torch::Tensor& data, std::pair&>& idx_to_req_id, std::shared_ptr& response_batch) { - std::ifstream jsonFile("index_to_name.json"); - if (!jsonFile.is_open()) { - std::cerr << "Failed to open JSON file.\n"; - } - std::string jsonString((std::istreambuf_iterator(jsonFile)), - std::istreambuf_iterator()); - jsonFile.close(); - folly::dynamic parsedJson = folly::parseJson(jsonString); - if (!parsedJson.isObject()) { - std::cerr << "Invalid JSON format.\n"; - } for (const auto& kv : idx_to_req_id.second) { try { auto response = (*response_batch)[kv.second];

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