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fix code warning

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pull/6342/head
jjfeing 4 years ago
parent 3d8c120c57
commit 37ec5c0a1f
13 changed files with 9 additions and 20 deletions
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2
include/infer_tensor.h
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@ -30,7 +30,6 @@
namespace mindspore {
#define MS_API __attribute__((visibility("default")))
namespace inference {
enum DataType {
kMSI_Unknown = 0,
kMSI_Bool = 1,
@ -209,7 +208,6 @@ class VectorInferTensorWrapRequest : public RequestBase {
}
const std::vector<InferTensor> &tensor_list_;
};
} // namespace inference
} // namespace mindspore
#endif // MINDSPORE_INCLUDE_INFER_TENSOR_H_

1
include/inference.h
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@ -25,7 +25,6 @@
namespace mindspore {
namespace inference {
enum StatusCode { SUCCESS = 0, FAILED, INVALID_INPUTS };
class Status {

1
mindspore/ccsrc/backend/optimizer/ascend/format_type/insert_transpose_for_basiclstm_op.cc
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@ -57,7 +57,6 @@ CNodePtr Insert(const FuncGraphPtr &func_graph, const CNodePtr &cnode, const std
} else {
new_node = kernel_graph->NewCNode(cnode);
}
} else if (op_name == kBasicLSTMCellWeightGradOpName) {
std::vector<AnfNodePtr> make_tuple_inputs = {NewValueNode(prim::kPrimMakeTuple)};
size_t out_num = AnfAlgo::GetOutputTensorNum(cnode);

1
mindspore/ccsrc/backend/session/ascend_control_parser.cc
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@ -208,7 +208,6 @@ void AscendControlParser::LinkGraph(NotNull<KernelGraphPtr> kg) {
memo.clear();
// assign label resource
device::ascend::AscendLabelAssign::GetInstance().AssignLabel(kg);
// AttachChildGraphToReturnNode(kg, NOT_NULL(&memo));
}
void AscendControlParser::EraseParameter(NotNull<KernelGraphPtr> root_graph,

1
mindspore/ccsrc/debug/data_dump/e2e_dump_util.cc
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@ -68,7 +68,6 @@ void E2eDumpUtil::DumpGPUMemToFile(const std::string &file_path, const std::stri
TensorLoader *tensor_loader = debug_services->tensor_loader();
auto ret = tensor_loader->DumpTensorToFile(original_kernel_name, trans_flag, file_path, format, int_shapes, type,
addr->type_id(), addr->format(), slot);
if (!ret) {
MS_LOG(ERROR) << "DumpTensorToFile Failed: flag:" << std::to_string(trans_flag) << ", path:" << file_path
<< ", host_format:" << format;

1
mindspore/ccsrc/runtime/device/ascend/ascend_memory_manager.cc
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@ -29,7 +29,6 @@ void AscendMemoryManager::MallocDeviceMemory() {
auto context_mem = GetDeviceMemSizeFromContext();
device_mem_size_ = context_mem == 0 ? kAscendDeviceMemSize : context_mem;
auto ret = rtMalloc(reinterpret_cast<void **>(&device_mem_base_), device_mem_size_, RT_MEMORY_HBM);
if (ret != RT_ERROR_NONE) {
MS_EXCEPTION(DeviceProcessError) << "rtMalloc mem size[" << device_mem_size_ << "] fail, ret[" << ret << "]";
}

2
mindspore/ccsrc/runtime/device/ascend/ascend_stream_assign.cc
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@ -541,7 +541,6 @@ void AscendStreamAssign::InsertStreamActiveForCommon(const NotNull<KernelGraphPt
if (AnfAlgo::GetCNodeName(cur_cnode_ptr) == kStreamSwitchOpName) {
MS_LOG(INFO) << "Insert StreamActive op after FP StreamSwitch for stream parallel";
// UpdateStreamSwitch(graph_ptr, cur_cnode_ptr, &update_cnode_list);
update_cnode_list.emplace_back(cur_cnode_ptr);
} else {
update_cnode_list.emplace_back(cur_cnode_ptr);
@ -1781,7 +1780,6 @@ void AscendStreamAssign::FindEventRelations(const NotNull<KernelGraphPtr> &graph
MS_LOG(INFO) << "Event_id:" << AnfAlgo::GetNodeAttr<uint32_t>(item.first, kAttrEventId);
}
}
} // namespace ascend
} // namespace device
} // namespace mindspore

9
mindspore/ccsrc/runtime/device/ascend/dump/data_dumper.cc
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@ -57,9 +57,6 @@ constexpr const char *kOpTypeOpDebug = "Opdebug";
namespace mindspore {
namespace device {
namespace ascend {
static void DumpKernelOutput(const CNodePtr &kernel, void *args, NotNull<aicpu::dump::Task *> task);
static void DumpKernelInput(const CNodePtr &kernel, void *args, NotNull<aicpu::dump::Task *> task);
static void RtLoadDumpData(const aicpu::dump::OpMappingInfo &dump_info, void **ptr);
DataDumper::~DataDumper() {
ReleaseDevMem(&dev_load_mem_);
@ -328,7 +325,7 @@ void DataDumper::OpDebugUnregister() {
}
}
void RtLoadDumpData(const aicpu::dump::OpMappingInfo &dump_info, void **ptr) {
void DataDumper::RtLoadDumpData(const aicpu::dump::OpMappingInfo &dump_info, void **ptr) {
std::string proto_str;
size_t proto_size = dump_info.ByteSizeLong();
bool ret = dump_info.SerializeToString(&proto_str);
@ -357,7 +354,7 @@ void RtLoadDumpData(const aicpu::dump::OpMappingInfo &dump_info, void **ptr) {
}
}
void DumpKernelOutput(const CNodePtr &kernel, void *args, NotNull<aicpu::dump::Task *> task) {
void DataDumper::DumpKernelOutput(const CNodePtr &kernel, void *args, NotNull<aicpu::dump::Task *> task) {
if (!DumpJsonParser::GetInstance().OutputNeedDump()) {
MS_LOG(INFO) << "Skip dump output";
return;
@ -391,7 +388,7 @@ void DumpKernelOutput(const CNodePtr &kernel, void *args, NotNull<aicpu::dump::T
}
}
void DumpKernelInput(const CNodePtr &kernel, void *args, NotNull<aicpu::dump::Task *> task) {
void DataDumper::DumpKernelInput(const CNodePtr &kernel, void *args, NotNull<aicpu::dump::Task *> task) {
if (!DumpJsonParser::GetInstance().InputNeedDump()) {
MS_LOG(INFO) << "Skip dump input";
return;

3
mindspore/ccsrc/runtime/device/ascend/dump/data_dumper.h
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@ -65,6 +65,9 @@ class DataDumper {
void SetOpDebugMappingInfo(const NotNull<aicpu::dump::OpMappingInfo *> dump_info) const;
void ConstructDumpTask(NotNull<const CNodePtr &> kernel, NotNull<aicpu::dump::Task *> dump_task) const;
void GetNeedDumpKernelList(NotNull<std::map<std::string, CNodePtr> *> kernel_map) const;
static void DumpKernelOutput(const CNodePtr &kernel, void *args, NotNull<aicpu::dump::Task *> task);
static void DumpKernelInput(const CNodePtr &kernel, void *args, NotNull<aicpu::dump::Task *> task);
static void RtLoadDumpData(const aicpu::dump::OpMappingInfo &dump_info, void **ptr);
std::function<void *()> model_handle_;
uint32_t debug_task_id_;

1
mindspore/ccsrc/runtime/device/ascend/kernel_select_ascend.cc
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@ -541,7 +541,6 @@ KernelSelectStatus SelectKernelInfo(const CNodePtr &kernel_node, KernelType kern
kernel::KernelQuery(kernel_node, &kernel_info_list, kernel_type);
auto select_status = SetMatchedKernelInfo(kernel_node, kernel_info_list);
// If aicore not find valid kernel info reloading aicpu kernel info list to find it
if (select_status == kNoMatched) {
MS_LOG(WARNING) << "The node [" << kernel_node->DebugString()
<< "] cannot find valid TBE kernel info, try to get aicpu kernel info";

2
mindspore/ccsrc/runtime/device/cpu/mpi/mpi_interface.cc
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@ -33,7 +33,7 @@ inline void *GetMPIAdapterHandle() {
return handle;
}
inline void *GetMPIAdapterFunc(const char *name) {
void *GetMPIAdapterFunc(const char *name) {
static void *handle = GetMPIAdapterHandle();
if (handle == nullptr) {
MS_LOG(EXCEPTION) << "Load lib " << name << " failed, make sure you have installed it!";

1
serving/acl/dvpp_process.cc
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@ -28,7 +28,6 @@ DvppProcess::DvppProcess() {}
DvppProcess::~DvppProcess() {}
static uint32_t ToEven(uint32_t num) { return (num + 1) / 2 * 2; }
static uint32_t ToOdd(uint32_t num) {
if (num == 0) {
return 1;

4
tests/st/pynative/test_parser_tensor_assign.py
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@ -13,13 +13,13 @@
# limitations under the License.
# ============================================================================
import pytest
import numpy as np
import mindspore as ms
from mindspore.nn import ReLU
from mindspore.nn import Cell
from mindspore.common.tensor import Tensor
from mindspore.ops import operations as P
import numpy as np
import pytest
@pytest.mark.level0
@pytest.mark.platform_arm_ascend_training

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