forked from huawei/mindspore2022
187 lines
6.5 KiB
C++
187 lines
6.5 KiB
C++
/**
|
|
* Copyright 2019 Huawei Technologies Co., Ltd
|
|
*
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
*/
|
|
|
|
#include "kernel/hccl/hcom_util.h"
|
|
|
|
#include <memory>
|
|
|
|
#include "kernel/common_utils.h"
|
|
#include "session/anf_runtime_algorithm.h"
|
|
#include "utils/utils.h"
|
|
|
|
namespace mindspore {
|
|
bool HcomUtil::GetKernelInputShape(const AnfNodePtr &anf_node, vector<vector<size_t>> *hccl_kernel_intput_shape_list) {
|
|
MS_EXCEPTION_IF_NULL(anf_node);
|
|
MS_EXCEPTION_IF_NULL(hccl_kernel_intput_shape_list);
|
|
for (size_t i = 0; i < AnfAlgo::GetInputTensorNum(anf_node); ++i) {
|
|
std::vector<size_t> shape_i = AnfAlgo::GetInputDeviceShape(anf_node, i);
|
|
hccl_kernel_intput_shape_list->emplace_back(shape_i);
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
bool HcomUtil::GetKernelOutputShape(const AnfNodePtr &anf_node, vector<vector<size_t>> *hccl_kernel_output_shape_list) {
|
|
MS_EXCEPTION_IF_NULL(anf_node);
|
|
MS_EXCEPTION_IF_NULL(hccl_kernel_output_shape_list);
|
|
for (size_t i = 0; i < AnfAlgo::GetOutputTensorNum(anf_node); ++i) {
|
|
std::vector<size_t> shape_i = AnfAlgo::GetOutputDeviceShape(anf_node, i);
|
|
hccl_kernel_output_shape_list->emplace_back(shape_i);
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
bool HcomUtil::GetHcomDataType(const AnfNodePtr &anf_node, vector<hcclDataType_t> *data_type_list) {
|
|
MS_EXCEPTION_IF_NULL(anf_node);
|
|
MS_EXCEPTION_IF_NULL(data_type_list);
|
|
for (size_t i = 0; i < AnfAlgo::GetInputTensorNum(anf_node); ++i) {
|
|
auto type_ptr = AnfAlgo::GetPrevNodeOutputDeviceDataType(anf_node, i);
|
|
auto iter = CONST_OP_HCOM_DATA_TYPE_MAP.find(type_ptr);
|
|
if (iter == CONST_OP_HCOM_DATA_TYPE_MAP.end()) {
|
|
MS_LOG(EXCEPTION) << "HcomDataType cann't support Current Ascend Data Type : " << type_ptr;
|
|
}
|
|
data_type_list->emplace_back(iter->second);
|
|
}
|
|
auto type_base = *(std::begin(*data_type_list));
|
|
if (std::any_of(data_type_list->begin(), data_type_list->end(),
|
|
[&type_base](hcclDataType_t type) { return type != type_base; })) {
|
|
MS_LOG(ERROR) << "hccl have different data type";
|
|
return false;
|
|
}
|
|
return true;
|
|
}
|
|
|
|
bool HcomUtil::GetHcclOpSize(const hcclDataType_t &data_type, const vector<size_t> &shape, size_t *size) {
|
|
int tmp_size = 1;
|
|
uint32_t type_size = 4;
|
|
for (size_t i = 0; i < shape.size(); i++) {
|
|
IntMulWithOverflowCheck(tmp_size, SizeToInt(shape[i]), &tmp_size);
|
|
}
|
|
|
|
if (!GetHcomTypeSize(data_type, &type_size)) {
|
|
return false;
|
|
}
|
|
|
|
IntMulWithOverflowCheck(tmp_size, UintToInt(type_size), &tmp_size);
|
|
*size = IntToSize(tmp_size);
|
|
|
|
MS_LOG(INFO) << "size[" << *size << "]";
|
|
return true;
|
|
}
|
|
|
|
bool HcomUtil::GetHcomTypeSize(const hcclDataType_t &data_type, uint32_t *size) {
|
|
auto iter = CONST_OP_HCOM_DATA_TYPE_SIZE_MAP.find(data_type);
|
|
if (iter == CONST_OP_HCOM_DATA_TYPE_SIZE_MAP.end()) {
|
|
MS_LOG(ERROR) << "HcomUtil::HcomDataTypeSize, No DataTypeSize!";
|
|
return false;
|
|
}
|
|
*size = iter->second;
|
|
return true;
|
|
}
|
|
|
|
bool HcomUtil::GetHcomCount(const AnfNodePtr &anf_node, const vector<hcclDataType_t> &data_type_list,
|
|
const vector<vector<size_t>> &shape_list, uint64_t *total_count) {
|
|
MS_EXCEPTION_IF_NULL(anf_node);
|
|
MS_EXCEPTION_IF_NULL(total_count);
|
|
const uint32_t align_size = 512;
|
|
const uint32_t filled_size = 32;
|
|
uint64_t total_size = 0;
|
|
uint64_t block_size;
|
|
size_t input_size;
|
|
uint32_t type_size = 4;
|
|
|
|
for (size_t i = 0; i < AnfAlgo::GetInputTensorNum(anf_node); ++i) {
|
|
if (!GetHcomTypeSize(data_type_list[i], &type_size)) {
|
|
return false;
|
|
}
|
|
|
|
if (!GetHcclOpSize(data_type_list[i], shape_list[i], &input_size)) {
|
|
MS_LOG(ERROR) << "Get GetHcclOpSize failed";
|
|
return false;
|
|
}
|
|
|
|
if (AnfAlgo::GetCNodeName(anf_node) == kReduceScatterOpName) {
|
|
int32_t rank_size;
|
|
auto primitive = AnfAlgo::GetCNodePrimitive(anf_node);
|
|
MS_EXCEPTION_IF_NULL(primitive);
|
|
if (primitive->GetAttr("rank_size") != nullptr) {
|
|
rank_size = GetValue<int32_t>(primitive->GetAttr("rank_size"));
|
|
} else {
|
|
MS_LOG(ERROR) << "Get rank size failed";
|
|
return false;
|
|
}
|
|
block_size = input_size / IntToSize(rank_size);
|
|
total_size = total_size + block_size;
|
|
} else {
|
|
if (AnfAlgo::GetCNodeName(anf_node) == kAllGatherOpName) {
|
|
block_size = input_size;
|
|
} else {
|
|
block_size = (input_size + align_size - 1 + filled_size) / align_size * align_size;
|
|
}
|
|
total_size = total_size + block_size;
|
|
}
|
|
}
|
|
|
|
if (type_size == 0 || total_size % type_size != 0) {
|
|
MS_LOG(ERROR) << "Total_size[" << total_size << "],Type_size[" << type_size << "] != 0, fail!";
|
|
return false;
|
|
}
|
|
*total_count = total_size / type_size;
|
|
return true;
|
|
}
|
|
|
|
bool HcomUtil::GetHcomOperationType(const AnfNodePtr &anf_node, hcclRedOp_t *op_type) {
|
|
MS_EXCEPTION_IF_NULL(anf_node);
|
|
MS_EXCEPTION_IF_NULL(op_type);
|
|
auto primitive = AnfAlgo::GetCNodePrimitive(anf_node);
|
|
MS_EXCEPTION_IF_NULL(primitive);
|
|
if (primitive->GetAttr("op") == nullptr) {
|
|
MS_LOG(ERROR) << "Get HCOM_ATTR_REDUCE_TYPE fail, not support!";
|
|
return false;
|
|
}
|
|
auto hcom_op_type_get = GetValue<const char *>(primitive->GetAttr("op"));
|
|
string hcom_op_type(hcom_op_type_get);
|
|
if (hcom_op_type == "min") {
|
|
*op_type = HCCL_REP_OP_MIN;
|
|
} else if (hcom_op_type == "max") {
|
|
*op_type = HCCL_REP_OP_MAX;
|
|
} else if (hcom_op_type == "prod") {
|
|
*op_type = HCCL_REP_OP_PROD;
|
|
} else if (hcom_op_type == "sum") {
|
|
*op_type = HCCL_REP_OP_SUM;
|
|
} else {
|
|
MS_LOG(ERROR) << "HcomUtil::Get HCOM_ATTR_REDUCE_TYPE fail, [" << hcom_op_type << "] not support!";
|
|
return false;
|
|
}
|
|
return true;
|
|
}
|
|
|
|
bool HcomUtil::GetHcomRootId(const AnfNodePtr &anf_node, uint32_t *root_id) {
|
|
MS_EXCEPTION_IF_NULL(anf_node);
|
|
MS_EXCEPTION_IF_NULL(root_id);
|
|
auto primitive = AnfAlgo::GetCNodePrimitive(anf_node);
|
|
MS_EXCEPTION_IF_NULL(primitive);
|
|
if (primitive->GetAttr("root_rank") != nullptr) {
|
|
*root_id = GetValue<const vector<uint32_t>>(primitive->GetAttr("root_rank"))[0];
|
|
} else {
|
|
MS_LOG(ERROR) << "HcomUtil::Get HCOM_ATTR_ROOT_INDEX fail, not support!";
|
|
return false;
|
|
}
|
|
return true;
|
|
}
|
|
} // namespace mindspore
|