add dvpp to lite minddata
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@ -265,6 +265,12 @@ if(MSLITE_MINDDATA_IMPLEMENT STREQUAL "full")
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DESTINATION ${MIND_DATA_INC_DIR} COMPONENT ${RUNTIME_COMPONENT_NAME})
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if(PLATFORM_ARM64)
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if(MSLITE_ENABLE_CLOUD_FUSION_INFERENCE AND MSLITE_ENABLE_ACL)
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install(FILES ${TOP_DIR}/mindspore/ccsrc/minddata/dataset/include/dataset/vision_ascend.h
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DESTINATION ${MIND_DATA_INC_DIR} COMPONENT ${RUNTIME_COMPONENT_NAME})
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install(FILES ${TOP_DIR}/mindspore/lite/build/minddata/kernels-dvpp-image/utils/libdvpp_utils.so
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DESTINATION ${RUNTIME_LIB_DIR} COMPONENT ${RUNTIME_COMPONENT_NAME})
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endif()
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install(FILES ${TOP_DIR}/mindspore/lite/build/minddata/libminddata-lite.so DESTINATION
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${RUNTIME_LIB_DIR} COMPONENT ${RUNTIME_COMPONENT_NAME})
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install(FILES ${TOP_DIR}/mindspore/lite/build/minddata/libminddata-lite.a DESTINATION
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@ -281,6 +287,12 @@ if(MSLITE_MINDDATA_IMPLEMENT STREQUAL "full")
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install(FILES ${TOP_DIR}/mindspore/lite/build/securec/src/libsecurec.a
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DESTINATION ${SECUREC_DIR} COMPONENT ${RUNTIME_COMPONENT_NAME})
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else()
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if(MSLITE_ENABLE_CLOUD_FUSION_INFERENCE AND MSLITE_ENABLE_ACL)
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install(FILES ${TOP_DIR}/mindspore/ccsrc/minddata/dataset/include/dataset/vision_ascend.h
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DESTINATION ${MIND_DATA_INC_DIR} COMPONENT ${RUNTIME_COMPONENT_NAME})
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install(FILES ${TOP_DIR}/mindspore/lite/build/minddata/kernels-dvpp-image/utils/libdvpp_utils.so
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DESTINATION ${RUNTIME_LIB_DIR} COMPONENT ${RUNTIME_COMPONENT_NAME})
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endif()
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install(FILES ${TOP_DIR}/mindspore/lite/build/minddata/libminddata-lite.so DESTINATION
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${RUNTIME_LIB_DIR} COMPONENT ${RUNTIME_COMPONENT_NAME})
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install(FILES ${TOP_DIR}/mindspore/lite/build/minddata/libminddata-lite.a DESTINATION
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@ -15,7 +15,7 @@
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*/
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#include "minddata/dataset/include/dataset/vision.h"
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#if defined(WITH_BACKEND) || defined(ENABLE_ACL)
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#if defined(WITH_BACKEND) || defined(ENABLE_ACL) || defined(ENABLE_DVPP)
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#include "minddata/dataset/include/dataset/vision_ascend.h"
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#endif
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#include "minddata/dataset/kernels/ir/vision/ascend_vision_ir.h"
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@ -282,7 +282,7 @@ std::shared_ptr<TensorOperation> CenterCrop::Parse() { return std::make_shared<C
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std::shared_ptr<TensorOperation> CenterCrop::Parse(const MapTargetDevice &env) {
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if (env == MapTargetDevice::kAscend310) {
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#if defined(WITH_BACKEND) || defined(ENABLE_ACL)
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#if defined(WITH_BACKEND) || defined(ENABLE_ACL) || defined(ENABLE_DVPP)
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std::vector<uint32_t> usize_;
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usize_.reserve(data_->size_.size());
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std::transform(data_->size_.begin(), data_->size_.end(), std::back_inserter(usize_),
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@ -371,7 +371,7 @@ std::shared_ptr<TensorOperation> Decode::Parse() { return std::make_shared<Decod
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std::shared_ptr<TensorOperation> Decode::Parse(const MapTargetDevice &env) {
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if (env == MapTargetDevice::kAscend310) {
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#if defined(WITH_BACKEND) || defined(ENABLE_ACL)
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#if defined(WITH_BACKEND) || defined(ENABLE_ACL) || defined(ENABLE_DVPP)
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return std::make_shared<DvppDecodeJpegOperation>();
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#endif
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} else if (env == MapTargetDevice::kCpu) {
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@ -380,7 +380,7 @@ std::shared_ptr<TensorOperation> Decode::Parse(const MapTargetDevice &env) {
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MS_LOG(ERROR) << "Unsupported MapTargetDevice, only supported kCpu and kAscend310.";
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return nullptr;
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}
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#if defined(WITH_BACKEND) || defined(ENABLE_ACL)
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#if defined(WITH_BACKEND) || defined(ENABLE_ACL) || defined(ENABLE_DVPP)
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// DvppDecodeVideo Transform Operation.
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struct DvppDecodeVideo::Data {
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Data(const std::vector<uint32_t> &size, VdecStreamFormat type, VdecOutputFormat out_format, const std::string &output)
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@ -597,7 +597,7 @@ std::shared_ptr<TensorOperation> Normalize::Parse(const MapTargetDevice &env) {
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}
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#endif
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if (env == MapTargetDevice::kAscend310) {
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#if defined(WITH_BACKEND) || defined(ENABLE_ACL)
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#if defined(WITH_BACKEND) || defined(ENABLE_ACL) || defined(ENABLE_DVPP)
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return std::make_shared<DvppNormalizeOperation>(data_->mean_, data_->std_);
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#endif
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} else if (env == MapTargetDevice::kCpu) {
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@ -1187,7 +1187,7 @@ std::shared_ptr<TensorOperation> Resize::Parse() {
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std::shared_ptr<TensorOperation> Resize::Parse(const MapTargetDevice &env) {
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if (env == MapTargetDevice::kAscend310) {
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#if defined(WITH_BACKEND) || defined(ENABLE_ACL)
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#if defined(WITH_BACKEND) || defined(ENABLE_ACL) || defined(ENABLE_DVPP)
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std::vector<uint32_t> usize_;
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usize_.reserve(data_->size_.size());
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std::transform(data_->size_.begin(), data_->size_.end(), std::back_inserter(usize_),
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@ -12,6 +12,6 @@ add_library(kernels-dvpp-image OBJECT
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dvpp_resize_jpeg_op.cc
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acl_adapter.cc
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)
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if(ENABLE_ACL)
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if(ENABLE_ACL OR MSLITE_ENABLE_ACL)
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add_subdirectory(utils)
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endif()
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@ -2,19 +2,32 @@ file(GLOB_RECURSE _CURRENT_SRC_FILES RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} "*.cc"
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set_property(SOURCE ${_CURRENT_SRC_FILES} PROPERTY COMPILE_DEFINITIONS SUBMODULE_ID=mindspore::SubModuleId::SM_MD)
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add_definitions(-DENABLE_DVPP_INTERFACE)
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add_library(dvpp_utils SHARED
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MDAclProcess.cc
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DvppCommon.cc
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ErrorCode.cpp
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ResourceManager.cc
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AclLiteUtils.cc
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VdecHelper.cc
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dvpp_video.cc
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acl_plugin.cc
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${CMAKE_SOURCE_DIR}/mindspore/ccsrc/cxx_api/graph/acl/acl_env_guard.cc
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)
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set(DVPP_UTILS_SRC
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MDAclProcess.cc
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DvppCommon.cc
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ErrorCode.cpp
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ResourceManager.cc
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AclLiteUtils.cc
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VdecHelper.cc
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dvpp_video.cc
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acl_plugin.cc
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)
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if(NOT MSLITE_ENABLE_ACL)
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set(DVPP_UTILS_SRC
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${DVPP_UTILS_SRC}
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${CMAKE_SOURCE_DIR}/mindspore/ccsrc/cxx_api/graph/acl/acl_env_guard.cc
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)
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endif()
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target_link_libraries(dvpp_utils PRIVATE _c_dataengine ${ACL} ${ACL_DVPP} mindspore_core mindspore_shared_lib)
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add_library(dvpp_utils SHARED ${DVPP_UTILS_SRC})
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if(MSLITE_ENABLE_ACL)
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find_library(acl_dvpp libacl_dvpp.so ${ASCEND_CANN_RUNTIME_PATH} ${ASCEND_TOOLKIT_RUNTIME_PATH})
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find_library(acl libascendcl.so ${ASCEND_CANN_RUNTIME_PATH} ${ASCEND_TOOLKIT_RUNTIME_PATH})
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target_link_libraries(dvpp_utils PRIVATE ${acl} ${acl_dvpp} mindspore_core)
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else()
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target_link_libraries(dvpp_utils PRIVATE _c_dataengine ${ACL} ${ACL_DVPP} mindspore_core mindspore_shared_lib)
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endif()
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if(MSLITE_ENABLE_CLOUD_MIND_DATA)
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add_dependencies(dvpp_utils fbs_src)
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@ -37,6 +37,12 @@
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namespace mindspore {
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namespace dataset {
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#if defined(ENABLE_CLOUD_FUSION_INFERENCE)
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bool IsNonEmptyPNG(const std::shared_ptr<Tensor> &input) {
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const unsigned char kPngMagic[] = "\x89\x50\x4E\x47";
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constexpr dsize_t kPngMagicLen = 4;
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return input->SizeInBytes() > kPngMagicLen && memcmp(input->GetBuffer(), kPngMagic, kPngMagicLen) == 0;
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}
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Status Rescale(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output, float rescale, float shift) {
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std::shared_ptr<CVTensor> input_cv = CVTensor::AsCVTensor(input);
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if (!input_cv->mat().data) {
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@ -66,6 +66,8 @@ struct JpegErrorManagerCustom {
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};
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#if defined(ENABLE_CLOUD_FUSION_INFERENCE)
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bool IsNonEmptyPNG(const std::shared_ptr<Tensor> &input);
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/// \brief Returns Rescaled image
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/// \param input: Tensor of shape <H,W,C> or <H,W> and any OpenCv compatible type, see CVTensor.
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/// \param rescale: rescale parameter
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@ -264,7 +264,7 @@ Status DvppDecodeResizeCropOperation::ValidateParams() {
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LOG_AND_RETURN_STATUS_SYNTAX_ERROR(err_msg);
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}
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if (crop_.size() < resize_.size()) {
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if (crop_[0] > MIN(resize_[0], resize_[1])) {
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if (crop_[0] > std::min(resize_[0], resize_[1])) {
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std::string err_msg =
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"Each value of crop parameter must be smaller than corresponding resize parameter, for example: x[0] <= "
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"y[0], and x[1] <= y[1], please verify your input parameters.";
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@ -272,7 +272,7 @@ Status DvppDecodeResizeCropOperation::ValidateParams() {
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}
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}
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if (crop_.size() > resize_.size()) {
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if (MAX(crop_[0], crop_[1]) > resize_[0]) {
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if (std::max(crop_[0], crop_[1]) > resize_[0]) {
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std::string err_msg =
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"Each value of crop parameter must be smaller than corresponding resize parameter, for example: x[0] <= "
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"y[0], and x[1] <= y[1], please verify your input parameters.";
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@ -16,7 +16,7 @@
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#ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_UTIL_LOG_ADAPTER_H_
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#define MINDSPORE_CCSRC_MINDDATA_DATASET_UTIL_LOG_ADAPTER_H_
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#ifndef ENABLE_ANDROID
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#if !defined(ENABLE_ANDROID) || defined(ENABLE_CLOUD_FUSION_INFERENCE)
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#include "mindspore/core/utils/log_adapter.h"
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#define DATASET_SRC_FILE_NAME FILE_NAME
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#else
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@ -193,6 +193,10 @@ build_python_wheel_package() {
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find src/extendrt/convert/ -name "*.so" -exec cp '{}' package/mindspore_lite/lib/ \;
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if [[ "${MSLITE_ENABLE_ACL}" ]]; then
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cp src/extendrt/kernel/ascend/*.so package/mindspore_lite/lib/
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local dvpp_utils=minddata/kernels-dvpp-image/utils/libdvpp_utils.so
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if [ -f ${dvpp_utils} ]; then
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cp ${dvpp_utils} package/mindspore_lite/lib/
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fi
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fi
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if [ -f "${INSTALL_PREFIX}/${pkg_name}/runtime/lib/libtransformer-shared.so" ]; then
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cp ${INSTALL_PREFIX}/${pkg_name}/runtime/lib/libtransformer-shared.so package/mindspore_lite/lib/
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@ -55,6 +55,21 @@ set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fvisibility=default")
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set(CMAKE_SHARED_LINKER_FLAGS_RELEASE "${CMAKE_SHARED_LINKER_FLAGS} -s")
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if(MSLITE_ENABLE_RUNTIME_GLOG AND MSLITE_ENABLE_CLOUD_FUSION_INFERENCE)
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add_definitions(-DUSE_GLOG)
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string(REPLACE "-fno-rtti" "" CMAKE_C_FLAGS ${CMAKE_C_FLAGS})
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string(REPLACE "-fno-rtti" "" CMAKE_CXX_FLAGS ${CMAKE_CXX_FLAGS})
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endif()
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if(MSLITE_ENABLE_ACL)
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include_directories(${TOP_DIR}/graphengine/metadef/inc/external)
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include_directories(${TOP_DIR}/graphengine/metadef/inc)
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include_directories(${TOP_DIR}/graphengine/inc)
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include_directories(${TOP_DIR}/graphengine/inc/external)
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include_directories(${TOP_DIR}/graphengine/third_party/fwkacllib/inc)
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include_directories(${CCSRC_DIR})
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endif()
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AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/api MINDDATA_API_SRC_FILES)
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AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/callback MINDDATA_CALLBACK_SRC_FILES)
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${MINDDATA_DIR}/kernels/ir/vision/rescale_ir.cc
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${MINDDATA_DIR}/core/cv_tensor.cc
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)
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if(MSLITE_ENABLE_ACL)
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add_definitions(-DENABLE_DVPP)
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set(MINDDATA_FULL_SRC
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${MINDDATA_FULL_SRC}
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${MINDDATA_DIR}/core/device_tensor.cc
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${MINDDATA_DIR}/kernels/ir/vision/ascend_vision_ir.cc)
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add_subdirectory(${MINDDATA_DIR}/kernels/image/dvpp kernels-dvpp-image)
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endif()
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endif()
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add_library(minddata-lite-obj OBJECT
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${MINDDATA_FULL_SRC}
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)
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add_dependencies(minddata-lite-obj fbs_src)
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set(minddata_lite_submodules
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$<TARGET_OBJECTS:minddata-lite-obj>
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)
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if(MSLITE_ENABLE_CLOUD_FUSION_INFERENCE AND MSLITE_ENABLE_ACL)
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add_dependencies(minddata-lite-obj kernels-dvpp-image)
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set(minddata_lite_submodules
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${minddata_lite_submodules}
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$<TARGET_OBJECTS:kernels-dvpp-image>
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)
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endif()
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add_library(minddata-lite SHARED $<TARGET_OBJECTS:minddata-lite-obj>)
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add_library(minddata-lite_static STATIC $<TARGET_OBJECTS:minddata-lite-obj>)
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add_library(minddata-lite SHARED ${minddata_lite_submodules})
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add_library(minddata-lite_static STATIC ${minddata_lite_submodules})
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set_target_properties(minddata-lite_static PROPERTIES OUTPUT_NAME "minddata-lite")
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find_package(Threads REQUIRED)
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