| @@ -151,14 +151,18 @@ void DumpOutput(mindspore::session::KernelGraph *graph, const string &dump_path, | |||||
| auto output_size = AnfAlgo::GetOutputTensorNum(node); | auto output_size = AnfAlgo::GetOutputTensorNum(node); | ||||
| for (size_t j = 0; j < output_size; ++j) { | for (size_t j = 0; j < output_size; ++j) { | ||||
| auto addr = AnfAlgo::GetOutputAddr(node, j); | auto addr = AnfAlgo::GetOutputAddr(node, j); | ||||
| auto shape = trans::GetRuntimePaddingShape(node, j); | |||||
| std::vector<int> int_shapes; | |||||
| if (trans_flag) { | |||||
| int_shapes = trans::GetRuntimePaddingShape(node, j); | |||||
| } else { | |||||
| auto shape = AnfAlgo::GetOutputDeviceShape(node, j); | |||||
| (void)std::transform(shape.begin(), shape.end(), std::back_inserter(int_shapes), | |||||
| [](size_t inner_item) { return SizeToInt(inner_item); }); | |||||
| } | |||||
| auto type = AnfAlgo::GetOutputInferDataType(node, j); | auto type = AnfAlgo::GetOutputInferDataType(node, j); | ||||
| auto format = kOpFormat_DEFAULT; | auto format = kOpFormat_DEFAULT; | ||||
| string filepath = dump_path + '/' + kernel_name + '_' + "output_" + std::to_string(j); | string filepath = dump_path + '/' + kernel_name + '_' + "output_" + std::to_string(j); | ||||
| auto ascend_addr = dynamic_cast<const mindspore::device::ascend::AscendDeviceAddress *>(addr); | auto ascend_addr = dynamic_cast<const mindspore::device::ascend::AscendDeviceAddress *>(addr); | ||||
| std::vector<int> int_shapes; | |||||
| (void)std::transform(shape.begin(), shape.end(), std::back_inserter(int_shapes), | |||||
| [](size_t inner_item) { return SizeToInt(inner_item); }); | |||||
| auto ret = ascend_addr->DumpMemToFile(trans_flag, filepath, format, int_shapes, type); | auto ret = ascend_addr->DumpMemToFile(trans_flag, filepath, format, int_shapes, type); | ||||
| if (!ret) { | if (!ret) { | ||||
| MS_LOG(ERROR) << "DumpMemToFile Failed: flag:" << trans_flag << ", path:" << filepath | MS_LOG(ERROR) << "DumpMemToFile Failed: flag:" << trans_flag << ", path:" << filepath | ||||
| @@ -182,14 +186,18 @@ void DumpParameters(mindspore::session::KernelGraph *graph, const string &dump_p | |||||
| continue; | continue; | ||||
| } | } | ||||
| auto addr = AnfAlgo::GetOutputAddr(item, PRAMATER_OUTPUT_INDEX); | auto addr = AnfAlgo::GetOutputAddr(item, PRAMATER_OUTPUT_INDEX); | ||||
| auto shape = trans::GetRuntimePaddingShape(item, PRAMATER_OUTPUT_INDEX); | |||||
| std::vector<int> int_shapes; | |||||
| if (trans_flag) { | |||||
| int_shapes = trans::GetRuntimePaddingShape(item, PRAMATER_OUTPUT_INDEX); | |||||
| } else { | |||||
| auto shape = AnfAlgo::GetOutputDeviceShape(item, PRAMATER_OUTPUT_INDEX); | |||||
| (void)std::transform(shape.begin(), shape.end(), std::back_inserter(int_shapes), | |||||
| [](size_t inner_item) { return SizeToInt(inner_item); }); | |||||
| } | |||||
| auto type = AnfAlgo::GetOutputInferDataType(item, PRAMATER_OUTPUT_INDEX); | auto type = AnfAlgo::GetOutputInferDataType(item, PRAMATER_OUTPUT_INDEX); | ||||
| auto format = kOpFormat_DEFAULT; | auto format = kOpFormat_DEFAULT; | ||||
| string filepath = dump_path + '/' + parameter_name + '_' + "output_0"; | string filepath = dump_path + '/' + parameter_name + '_' + "output_0"; | ||||
| auto ascend_addr = dynamic_cast<const mindspore::device::ascend::AscendDeviceAddress *>(addr); | auto ascend_addr = dynamic_cast<const mindspore::device::ascend::AscendDeviceAddress *>(addr); | ||||
| std::vector<int> int_shapes; | |||||
| (void)std::transform(shape.begin(), shape.end(), std::back_inserter(int_shapes), | |||||
| [](size_t inner_item) { return SizeToInt(inner_item); }); | |||||
| auto ret = ascend_addr->DumpMemToFile(trans_flag, filepath, format, int_shapes, type); | auto ret = ascend_addr->DumpMemToFile(trans_flag, filepath, format, int_shapes, type); | ||||
| if (!ret) { | if (!ret) { | ||||
| MS_LOG(ERROR) << "DumpMemToFile Failed: flag:" << trans_flag << ", path:" << filepath | MS_LOG(ERROR) << "DumpMemToFile Failed: flag:" << trans_flag << ", path:" << filepath | ||||