Browse Source

delete cce stub & AUX_SOURCE_DIRECTORY for graph

tags/v1.5.1
zhangxiaokun 3 years ago
parent
commit
6b962fdee4
7 changed files with 51 additions and 817 deletions
  1. +6
    -6
      CMakeLists.txt
  2. +1
    -1
      tests/CMakeLists.txt
  3. +0
    -98
      tests/depends/cce/CMakeLists.txt
  4. +0
    -576
      tests/depends/cce/src/cce_stub.cc
  5. +0
    -29
      tests/depends/cce/src/op_kernel_registry.cc
  6. +19
    -46
      tests/ut/common/graph/CMakeLists.txt
  7. +25
    -61
      tests/ut/ge/CMakeLists.txt

+ 6
- 6
CMakeLists.txt View File

@@ -108,7 +108,7 @@ else ()
elseif(PLATFORM STREQUAL "inference") elseif(PLATFORM STREQUAL "inference")
find_module(adump_server libadump_server.a ${ASCEND_ACL_DIR}) find_module(adump_server libadump_server.a ${ASCEND_ACL_DIR})
find_module(runtime libruntime.so ${ASCEND_ACL_DIR}) find_module(runtime libruntime.so ${ASCEND_ACL_DIR})
find_module(runtime_compile libruntime_compile.so ${ASCEND_ATC_DIR})
find_module(runtime_compile libruntime_compile.so ${ASCEND_ATC_DIR})
find_module(msprofiler_ext libmsprofiler.a ${ASCEND_ACL_DIR}) find_module(msprofiler_ext libmsprofiler.a ${ASCEND_ACL_DIR})
if(PRODUCT STREQUAL "flr3") if(PRODUCT STREQUAL "flr3")
elseif(PRODUCT STREQUAL "flr1") elseif(PRODUCT STREQUAL "flr1")
@@ -119,12 +119,12 @@ else ()
find_module(ascend_hal_stub libascend_hal.so ${ASCEND_DRIVER_DIR}) find_module(ascend_hal_stub libascend_hal.so ${ASCEND_DRIVER_DIR})
endif() endif()
elseif(PLATFORM STREQUAL "all") elseif(PLATFORM STREQUAL "all")
find_module(adump_server libadump_server.a ${ASCEND_RUNTIME_DIR})
find_module(runtime libruntime.so ${ASCEND_RUNTIME_DIR})
find_module(adump_server libadump_server.a ${ASCEND_RUNTIME_DIR})
find_module(runtime libruntime.so ${ASCEND_RUNTIME_DIR})
find_module(msprofiler_fwk_ext libmsprofiler_fwk.a ${ASCEND_RUNTIME_DIR}) find_module(msprofiler_fwk_ext libmsprofiler_fwk.a ${ASCEND_RUNTIME_DIR})
find_module(ascend_hal_stub libascend_hal.so ${ASCEND_DRIVER_DIR})
find_module(runtime_compile libruntime_compile.so ${ASCEND_ATC_DIR})
find_module(msprofiler_ext libmsprofiler.a ${ASCEND_ACL_DIR})
find_module(ascend_hal_stub libascend_hal.so ${ASCEND_DRIVER_DIR})
find_module(runtime_compile libruntime_compile.so ${ASCEND_ATC_DIR})
find_module(msprofiler_ext libmsprofiler.a ${ASCEND_ACL_DIR})
else() else()
message(STATUS "PLATFORM param is invalid, should be train or inference, you choose nothing!") message(STATUS "PLATFORM param is invalid, should be train or inference, you choose nothing!")
endif() endif()


+ 1
- 1
tests/CMakeLists.txt View File

@@ -15,7 +15,7 @@


project(tests CXX C) project(tests CXX C)
find_package(Threads) find_package(Threads)
add_subdirectory(depends/cce)
add_subdirectory(depends/slog) add_subdirectory(depends/slog)
add_subdirectory(depends/mmpa) add_subdirectory(depends/mmpa)
add_subdirectory(depends/runtime) add_subdirectory(depends/runtime)


+ 0
- 98
tests/depends/cce/CMakeLists.txt View File

@@ -1,98 +0,0 @@
# Copyright 2019-2020 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.
# ============================================================================

#cmake_minimum_required(VERSION 2.8)

project(STUB_CCE)

set(CMAKE_CXX_STANDARD 11)

include_directories(${GE_CODE_DIR}/inc)
include_directories(${GE_CODE_DIR}/inc/framework)
include_directories(${GE_CODE_DIR}/metadef/inc/graph)
include_directories(${GE_CODE_DIR}/inc/external)
include_directories(${GE_CODE_DIR}/metadef/inc/external)
include_directories(${GE_CODE_DIR}/metadef/inc/external/graph)
include_directories(${GE_CODE_DIR}/metadef)
include_directories(${GE_CODE_DIR}/metadef/inc)
include_directories(${GE_CODE_DIR}/metadef/graph)
include_directories(${GE_CODE_DIR}/third_party/fwkacllib/inc)
include_directories(${GE_CODE_DIR}/third_party/fwkacllib/inc/cce)
include_directories(${GE_CODE_DIR}/third_party/fwkacllib/inc/ops)
include_directories(${CMAKE_BINARY_DIR})
include_directories(${CMAKE_BINARY_DIR}/proto/ge)
set(PROTO_LIST
"${GE_CODE_DIR}/metadef/proto/om.proto"
"${GE_CODE_DIR}/metadef/proto/ge_ir.proto"
"${GE_CODE_DIR}/metadef/proto/task.proto"
)

protobuf_generate(ge PROTO_SRCS PROTO_HDRS ${PROTO_LIST})

set(SRCS
"${GE_CODE_DIR}/metadef/graph/ge_attr_define.cc"
"${GE_CODE_DIR}/metadef/graph/anchor.cc"
"${GE_CODE_DIR}/metadef/graph/ge_attr_value.cc"
"${GE_CODE_DIR}/metadef/graph/buffer.cc"
"${GE_CODE_DIR}/metadef/graph/aligned_ptr.cc"
"${GE_CODE_DIR}/metadef/graph/compute_graph.cc"
"${GE_CODE_DIR}/metadef/graph/graph.cc"
"${GE_CODE_DIR}/metadef/graph/model.cc"
"${GE_CODE_DIR}/metadef/graph/model_serialize.cc"
"${GE_CODE_DIR}/metadef/graph/node.cc"
"${GE_CODE_DIR}/metadef/graph/op_desc.cc"
"${GE_CODE_DIR}/metadef/graph/operator.cc"
"${GE_CODE_DIR}/metadef/graph/operator_factory.cc"
"${GE_CODE_DIR}/metadef/graph/operator_factory_impl.cc"
"${GE_CODE_DIR}/metadef/graph/tensor.cc"
"${GE_CODE_DIR}/metadef/graph/detail/attributes_holder.cc"
"${GE_CODE_DIR}/metadef/graph/utils/anchor_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/graph_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/dumper/ge_graph_dumper.cc"
"${GE_CODE_DIR}/metadef/graph/utils/node_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/op_desc_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/type_utils.cc"
"${GE_CODE_DIR}/metadef/ops/op_imp.cpp"
"${GE_CODE_DIR}/metadef/graph/shape_refiner.cc"
"${GE_CODE_DIR}/metadef/graph/ge_tensor.cc"
"${GE_CODE_DIR}/metadef/graph/opsproto/opsproto_manager.cc"
)
add_library(cce_ge_stub SHARED src/cce_stub.cc ${PROTO_SRCS} ${PROTO_HDRS})

target_compile_definitions(cce_ge_stub PRIVATE
google=ascend_private
)

target_link_libraries(cce_ge_stub
$<BUILD_INTERFACE:intf_pub>
-Wl,--no-as-needed
ascend_protobuf
-Wl,--as-needed
c_sec
)

add_library(cce_stub SHARED ${SRCS} ${PROTO_SRCS} ${PROTO_HDRS})

target_compile_definitions(cce_stub PRIVATE
google=ascend_private
)

target_link_libraries(cce_stub PRIVATE
$<BUILD_INTERFACE:intf_pub>
-Wl,--no-as-needed
ascend_protobuf
-Wl,--as-needed
c_sec
)

+ 0
- 576
tests/depends/cce/src/cce_stub.cc View File

@@ -1,576 +0,0 @@
/**
* Copyright 2019-2020 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 <vector>
#include <cce/cce.h>
#include <cce/dnn.h>
#include <cce/compiler_stub.h>
#include <cce/taskdown_api.h>

#include "cce/optimizer/fusion_engine.h"
#include "common/op/attr_value_util.h"
#include "graph/utils/tensor_utils.h"
#include "graph/utils/graph_utils.h"

using namespace cce;
using namespace std;
using namespace ge;
using namespace fusion;

uint64_t global_mem_base = 0;

namespace cce {
#define DIM_MAX_SIZE 8
static const uint32_t C0 = 16;
struct tagCcPad {};
struct tagCcConvolution {};

struct tagCcLRN {};

struct tagCcFasterRcnnProposal {};
struct tagCcRoiAlign {};
struct tagCcBatchNorm {};
struct tagCcDetectpostprocess {};

struct tagCcSsdDetectionOutput {};

struct tagCcRefinedetDetectionOutput {};

struct tagCcMsrGenerateRpnProposals {};

struct tagCcFilter {
vector<uint32_t> dims;
};

struct tagCcTensor {
ccTensorFormat_t format;
ccDataType_t data_type;
uint32_t dim_cnt;
int32_t real_dim_cnt;
uint32_t data_size;
int32_t dim_buf[DIM_MAX_SIZE];
int32_t stride_buf[DIM_MAX_SIZE];
};

typedef struct tagCcPooling {
ccPoolingMode_t mode;
ccPaddingMode_t pad_mode;
ccNanPropagation_t max_pooling_nan_opt;
uint32_t dim_cnt;
int32_t window_dim[6];
int32_t padding[6];
int32_t stride[6];
} ccPooling_t;

struct tagCcActivation {};

struct tagCcFasterRcnnDetectionOutput {};
struct tagCcSpatialTransformer {};

struct tagCcPower {};
struct tagCcResizeBilinear {};
struct tagCcSsdNormalize {};
struct tagCcSsdPostProcessor {};
struct tagCcSsdPriorBox {};
struct tagCcPsRoiPooling {};

struct tagMsrFastRcnnPredictions {};
struct tagCcPRelu {};
struct tagCcStridedSlice {};

struct tagCcStridedSliceAttrs {};

struct tagCcRnn {};

struct tagCcArgmaxmin {};

typedef struct tagCcLog {
ccDataType_t data_type;
uint32_t param_cnt;
} ccLog_t;
typedef struct tagCcLog *ccLogDescriptor_t;

struct tagCcPadV2 {};

ccStatus_t ccGetPadV2OutputDim(const ccTensorDescriptor_t x_desc, const ccPadV2Descriptor_t pad_desc, int32_t *dim_cnt,
int32_t dim[], int32_t dim_len) {
*dim_cnt = 4;
dim[0] = 1;
dim[1] = 2;
dim[2] = 2;
dim[3] = 3;
return CC_STATUS_SUCCESS;
}

ccStatus_t ccPadV2Forward(ccHandle_t handle, const ccPadV2Descriptor_t pad_desc, const void *alpha,
const ccTensorDescriptor_t x_desc, const void *x, const void *beta,
const ccTensorDescriptor_t output_desc, void *output) {
return CC_STATUS_SUCCESS;
}

ccStatus_t ccCreatePadV2Descriptor(ccPadV2Descriptor_t *pad_desc) { return CC_STATUS_SUCCESS; }

ccStatus_t ccDestroyPadV2Descriptor(ccPadV2Descriptor_t *pad_desc) { return CC_STATUS_SUCCESS; }

ccStatus_t ccSetKernelOpMap(ccHandle_t handle) { return CC_STATUS_SUCCESS; }

ccStatus_t ccDataDumpForward(ccHandle_t handle, const void *buffer, const uint64_t buf_len, const uint32_t task_index) {
return CC_STATUS_SUCCESS;
}

ccStatus_t ccSetPadV2Descriptor(ccPadV2Descriptor_t pad_desc, const int32_t pad_shape_cnt,
const int32_t pad_shape_low[], const int32_t pad_shape_high[],
const ccPadMode_t pad_mode, const void *pad_value, const ccDataType_t pad_value_type) {
return CC_STATUS_SUCCESS;
}

struct tagCcYoloDetectionOutput {
ccYoloVersion_t yolo_version;
uint32_t net_h;
uint32_t net_w;
uint32_t post_top_k;
uint32_t classes;
float nms_threshold;
float iou_thre_decay;
float coor_scale_factor;
bool relative;
float obj_threshold;
float cls_threshold;
uint32_t bias_num;
float *bias;
};

struct tagCcYoloRegion {};

struct tagCcEltwise {};

struct tagCcHashTableLookup {};

struct tagCcEmbeddingAttnDecoder {};
struct tagNonMaxSuppression {};

struct tagCcArcSinCos {};
struct tagCcPow {};
struct tagCcConcatFive2Four_t {};
struct tagCcConcatFour2Five_t {};

ccStatus_t ccCreatePowDescriptor(ccPowDescriptor_t *pow_desc) {
*pow_desc = new tagCcPow();
return CC_STATUS_SUCCESS;
}

ccStatus_t ccSetPowDescriptor(ccPowDescriptor_t pow_desc, ccDataType_t data_type, uint32_t param_cnt) {
return CC_STATUS_SUCCESS;
}

ccStatus_t ccDestroyPowDescriptor(ccPowDescriptor_t *pow_desc) {
if (nullptr == pow_desc) {
return CC_STATUS_BAD_PARAM;
}

delete *pow_desc;
*pow_desc = 0;
return CC_STATUS_SUCCESS;
}

ccStatus_t ccPowForward(ccHandle_t handle, const ccPowDescriptor_t pow_desc, const void *pow_param, const void *alpha,
const ccTensorDescriptor_t x_desc, const void *x, const ccTensorDescriptor_t y_desc,
const void *y, const void *beta, const ccTensorDescriptor_t z_desc, void *z) {
return CC_STATUS_SUCCESS;
}

ccStatus_t ccLogicalOrForward(ccHandle_t handle, const void *alpha, const ccTensorDescriptor_t x_desc, const void *x,
const ccTensorDescriptor_t y_desc, const void *y, const void *beta,
const ccTensorDescriptor_t output_desc, void *output) {
return CC_STATUS_SUCCESS;
}

ccStatus_t ccCompareForward(ccHandle_t handle, ccCompareType_t compare_type, const void *alpha,
const ccTensorDescriptor_t x_desc, const void *x, const ccTensorDescriptor_t y_desc,
const void *y, const void *beta, const ccTensorDescriptor_t output_desc, void *output) {
return CC_STATUS_SUCCESS;
}

ccStatus_t ccGetCompareOutputDim(const ccTensorDescriptor_t x_desc, const ccTensorDescriptor_t y_desc, int32_t *dim_cnt,
int32_t *dim, int32_t dim_len) {
*dim_cnt = 4;
dim[0] = 1;
dim[1] = 1;
dim[2] = 1;
dim[3] = 1;
return CC_STATUS_SUCCESS;
}

ccStatus_t ccArcTanForward(ccHandle_t handle, const void *alpha, const ccTensorDescriptor_t x_desc, const void *x,
const void *beta, const ccTensorDescriptor_t y_desc, void *y) {
return CC_STATUS_SUCCESS;
}

ccStatus_t ccAtanhForward(ccHandle_t handle, const void *alpha, const ccTensorDescriptor_t x_desc, const void *x,
const void *beta, const ccTensorDescriptor_t y_desc, void *y) {
return CC_STATUS_SUCCESS;
}

ccStatus_t ccIsDepthwiseHighPerformance(int32_t input_n, int32_t input_c, int32_t input_h, int32_t input_w,
int32_t filter_n, int32_t filter_c, int32_t filter_h, int32_t filter_w,
int32_t dilation_h, int32_t dilation_w, int32_t pad_h_head, int32_t pad_h_tail,
int32_t pad_w_head, int32_t pad_w_tail, int32_t stride_h, int32_t stride_w,
int32_t group_num, bool &is_high_performance, bool is_quant,
ccDataType_t input_data_type, ccDataType_t output_data_type) {
is_high_performance = true;
return CC_STATUS_SUCCESS;
}

struct tagCcSpaceToBatch {};

struct tagCcBatchToSpace {};

struct tagCcResizeNearestNeighbor {};

ccStatus_t ccGetStream(ccHandle_t handle, rtStream_t *stream_id) { return CC_STATUS_SUCCESS; }

ccStatus_t ccGetRtVersion(uint32_t *count) { return CC_STATUS_SUCCESS; }

ccStatus_t ccDestroyTensorDescriptor(ccTensorDescriptor_t *tensor_desc) {
if (nullptr == tensor_desc) {
return CC_STATUS_BAD_PARAM;
}
delete *tensor_desc;
*tensor_desc = 0;
return CC_STATUS_SUCCESS;
}
ccStatus_t ccDestroyFilterDescriptor(ccFilterDescriptor_t *filter_desc) {
delete *filter_desc;
*filter_desc = 0;
return CC_STATUS_SUCCESS;
}

ccStatus_t ccGetFilterSizeInBytes(const ccFilterDescriptor_t filter_desc, uint32_t *size) {
*size = filter_desc->dims[0] * filter_desc->dims[1] * filter_desc->dims[2] * filter_desc->dims[3] * sizeof(float);
return CC_STATUS_SUCCESS;
}

ccStatus_t ccTransFilter(const ccFilterDescriptor_t w_desc, const void *w, ccFilterDescriptor_t y_desc, void *y,
uint32_t y_size_in_bytes) {
y = const_cast<void *>(w);

return CC_STATUS_SUCCESS;
}

ccStatus_t ccCreateTensorDescriptor(ccTensorDescriptor_t *tensor_desc) {
*tensor_desc = new tagCcTensor();
return CC_STATUS_SUCCESS;
}

ccStatus_t ccSetTensor4dDescriptor(ccTensorDescriptor_t tensor_desc, ccTensorFormat_t format, ccDataType_t data_type,
int32_t n, int32_t c, int32_t h, int32_t w) {
if (CC_TENSOR_NHWC == format) {
tensor_desc->dim_buf[0] = n;
tensor_desc->dim_buf[1] = h;
tensor_desc->dim_buf[2] = w;
tensor_desc->dim_buf[3] = c;
} else {
tensor_desc->dim_buf[0] = n;
tensor_desc->dim_buf[1] = c;
tensor_desc->dim_buf[2] = h;
tensor_desc->dim_buf[3] = w;
}
tensor_desc->dim_cnt = 4;
tensor_desc->data_type = data_type;
tensor_desc->format = format;
tensor_desc->data_size = n * c * h * w * sizeof(data_type);
return CC_STATUS_SUCCESS;
}
ccStatus_t ccGetTensorSizeInBytes(const ccTensorDescriptor_t tensor_desc, uint32_t *size) {
if ((NULL == tensor_desc) || (NULL == size)) {
return CC_STATUS_BAD_PARAM;
}
*size = tensor_desc->data_size;
return CC_STATUS_SUCCESS;
}

ccStatus_t ccGetTensorMemorySizeInBytes(const ccTensorDescriptor_t tensor_desc, uint32_t *size) {
*size = tensor_desc->data_size;
return CC_STATUS_SUCCESS;
}

ccStatus_t ccCreateFilterDescriptor(ccFilterDescriptor_t *filter_desc) {
*filter_desc = new tagCcFilter();
return CC_STATUS_SUCCESS;
}

ccStatus_t ccSetFilter4dDescriptor(ccFilterDescriptor_t filter_desc, ccTensorFormat_t format, ccDataType_t data_type,
int32_t k, int32_t c, int32_t h, int32_t w) {
filter_desc->dims.push_back(k);
filter_desc->dims.push_back(c);
filter_desc->dims.push_back(h);
filter_desc->dims.push_back(w);

return CC_STATUS_SUCCESS;
}

ccStatus_t ccSetFilterFractalDescriptor(ccFilterDescriptor_t filter_desc, ccTensorFormat_t format,
ccDataType_t data_type, int32_t k, int32_t c, int32_t h, int32_t w) {
filter_desc->dims.push_back(k);
filter_desc->dims.push_back(c);
filter_desc->dims.push_back(h);
filter_desc->dims.push_back(w);

return CC_STATUS_SUCCESS;
}

ccStatus_t ccSetStream(ccHandle_t handle, rtStream_t stream_id) { return CC_STATUS_SUCCESS; }
ccStatus_t ccCreatePoolingMaskDescriptor(ccTensorDescriptor_t *pooling_mask_desc) {
*pooling_mask_desc = new tagCcTensor();
return CC_STATUS_SUCCESS;
}

ccStatus_t ccSetPoolingMaskTensorDescriptor(ccTensorDescriptor_t tensor_desc, ccTensorFormat_t format,
ccDataType_t data_type, int32_t n, int32_t c, int32_t h, int32_t w,
int32_t window_h, int32_t window_w) {
return CC_STATUS_SUCCESS;
}

ccStatus_t ccSetFilter6dDescriptor(ccTensorDescriptor_t filter_desc, ccTensorFormat_t format, ccDataType_t data_type,
int32_t c1, int32_t h, int32_t w, int32_t n, int32_t co, int32_t c0) {
return CC_STATUS_SUCCESS;
}

/// @ingroup dnn
/// @brief get the format and dimcnt of GeTensor
/// @param [in] tensor_desc descriptor of tensor
/// @param [in|out] format point to format
/// @return ccStatus_t
ccStatus_t ccGetTensorFormat(const ccTensorDescriptor_t tensor_desc, ccTensorFormat_t *format) {
*format = tensor_desc->format;
return CC_STATUS_SUCCESS;
}

ccStatus_t ccTransTensor(const ccTensorDescriptor_t x_desc, const void *x, const ccTensorDescriptor_t y_desc, void *y,
uint32_t y_size_in_bytes) {
return CC_STATUS_SUCCESS;
}
void cceSysInit() {}

bool compilerStubFree() { return true; }

bool compilerStubInit() { return true; }

ccStatus_t ccSetInt8Filter4dDescriptor(ccFilterDescriptor_t filter_desc, ccTensorFormat_t format,
ccDataType_t data_type, int32_t k, int32_t c, int32_t h, int32_t w,
ccDataType_t output_data_type) {
filter_desc->dims.push_back(k);
filter_desc->dims.push_back(c);
filter_desc->dims.push_back(h);
filter_desc->dims.push_back(w);

return CC_STATUS_SUCCESS;
}
ccStatus_t ccSetTensorNdDescriptor(ccTensorDescriptor_t tensor_desc, ccDataType_t data_type, int32_t dim_cnt,
int32_t dimA[]) {
tensor_desc->data_type = data_type;
tensor_desc->data_size = sizeof(data_type);
for (int32_t i = 0; i < dim_cnt; i++) {
tensor_desc->data_size = tensor_desc->data_size * dimA[i];
}
tensor_desc->format = CC_TENSOR_ND;
return CC_STATUS_SUCCESS;
}

ccStatus_t CceProfilingConfig(const char *target, const char *job_ctx, uint32_t flag) { return CC_STATUS_SUCCESS; }
ccStatus_t ccSetTensorRealDimCnt(ccTensorDescriptor_t tensor_desc, int32_t real_dim_cnt) {
if (tensor_desc != NULL && tensor_desc != nullptr) {
tensor_desc->real_dim_cnt = real_dim_cnt;
}
return CC_STATUS_SUCCESS;
}

ccStatus_t ccGetTensorRealDimCnt(ccTensorDescriptor_t tensor_desc, int32_t *real_dim_cnt) {
*real_dim_cnt = tensor_desc->real_dim_cnt;
return CC_STATUS_SUCCESS;
}

ccStatus_t ccSetQuantizeFactors(ccQuantizeDescriptor_t quantize_info, ccScaleValueMode_t scale_val_mode,
const uint16_t *scale, const uint16_t *offset, const uint8_t *offset_pad) {
return CC_STATUS_SUCCESS;
}

ccStatus_t ccSetReQuantizeFactors(ccQuantizeDescriptor_t quantize_info, ccScaleValueMode_t scale_val_mode,
const uint16_t *scale_rq, const uint16_t *next_layer_offset,
const int32_t *offset_w) {
return CC_STATUS_SUCCESS;
}

ccStatus_t ccSetDeQuantizeFactors(ccQuantizeDescriptor_t quantize_info, ccScaleValueMode_t scale_val_mode,
const uint16_t *scale_dq, const int32_t *offset_w) {
return CC_STATUS_SUCCESS;
}

ccStatus_t ccSetQuantizeAlgoAndScaleType(ccQuantizeDescriptor_t quantize_info, ccQuantizeAlgo_t quant_algo,
ccScaleType_t scale_type, bool relu_flag) {
return CC_STATUS_SUCCESS;
}
ccStatus_t ccPrintTimeStat() { return CC_STATUS_SUCCESS; }
ccStatus_t ccSetModelId(ccHandle_t handle, uint32_t model_id) { return CC_STATUS_SUCCESS; }

ccStatus_t ccGetKernelContext(rtStream_t stream_id, ccOpContext &op_context) {
if (stream_id == nullptr) {
op_context.kernelType = ccKernelType::TE;
} else {
op_context.kernelType = ccKernelType::CCE_AI_CORE;
op_context.opId = 1;
op_context.kernelFuncId = 1;
op_context.isFlowtable = true;
op_context.opCount = 1;
op_context.opIndex2[0] = 0;
}

return CC_STATUS_SUCCESS;
}

ccStatus_t ccUpdateKernelArgs(ccOpContext &op_context, uint64_t data_base_addr, uint64_t weight_base_addr,
uint64_t variable_base_addr, void *args_addr, uint64_t args_size, void *l2ctrl_addr) {
return CC_STATUS_SUCCESS;
}
ccStatus_t ccGetKernelArgsAddrs(ccOpContext &op_context, void *args_addr, uint64_t args_size, void *l2ctrl_addr,
std::vector<ccOpAddrsInfo> &op_addrs_info) {
// cce
ccOpAddrsInfo tmp_op_addrs_info;
uint64_t tmp_input = (uint64_t)global_mem_base;
tmp_op_addrs_info.addrPos = &tmp_input;
tmp_op_addrs_info.addrData = tmp_input;
op_addrs_info.push_back(tmp_op_addrs_info);

uint64_t tmp_output = (uint64_t)(global_mem_base + 5476352);
tmp_op_addrs_info.addrPos = &tmp_output;
tmp_op_addrs_info.addrData = tmp_output;
op_addrs_info.push_back(tmp_op_addrs_info);
return CC_STATUS_SUCCESS;
}

ccStatus_t ccSetKernelArgs(std::vector<ccOpAddrsInfo> &date_info) { return CC_STATUS_SUCCESS; }
} // namespace cce
// ccFusion no namespace
ccStatus_t ccFusionStart(ccHandle_t handle, uint32_t graph_id, uint32_t init_flag, CceFusionMemCfg_t mem_cfg) {
return CC_STATUS_SUCCESS;
}

//???ccFusion ????namespace cce??
ccStatus_t ccFusionStart(ccHandle_t handle, uint32_t graph_id, uint32_t init_flag, uint32_t addr_change_flag) {
return CC_STATUS_SUCCESS;
}

ccStatus_t ccFusionEnd(ccHandle_t handle, uint32_t graph_id) { return CC_STATUS_SUCCESS; }

ccStatus_t ccFusionTaskEnd(ccHandle_t handle, uint32_t graph_id) { return CC_STATUS_SUCCESS; }

ccStatus_t ccKernelLaunchRepeat(ccHandle_t handle) { return CC_STATUS_SUCCESS; }

ccStatus_t ccKernelDelete(ccHandle_t handle) { return CC_STATUS_SUCCESS; }

ccStatus_t cce::ccSetTensorFormat(cce::tagCcTensor *, cce::tagCcTensorFormat) { return CC_STATUS_SUCCESS; }

namespace fusion {
uint32_t BufferFusion(std::shared_ptr<ge::ComputeGraph>, std::shared_ptr<ge::ComputeGraph>, bool) { return 0; }

uint32_t BufferFusionTrain(std::shared_ptr<ge::ComputeGraph>, std::shared_ptr<ge::ComputeGraph>) { return 0; }

uint32_t GraphFusionTrain(ge::ComputeGraphPtr orig_graph, ge::ComputeGraphPtr fusion_graph) { return 0; }
} // namespace fusion
namespace fusion {
using namespace ge;

uint32_t Fusion(ComputeGraphPtr model_graph, ComputeGraphPtr fusion_graph, kScopeNodeMap_t &te_fusion_map) {
OpDescPtr op_def_a = std::make_shared<OpDesc>();
op_def_a->SetName("reduction_nd");
op_def_a->SetType("reduction_nd");

GeTensorDescPtr v_input_desc = std::make_shared<GeTensorDesc>();
op_def_a->AddInputDesc(*v_input_desc);

vector<int64_t> v_input;
v_input.push_back(0);
op_def_a->SetInputOffset(v_input);

GeTensorDesc input_desc = op_def_a->GetInputDesc(0);
input_desc.SetFormat(FORMAT_NCHW);
input_desc.SetDataType(DT_FLOAT);
input_desc.SetShape(GeShape({1, 3, 5, 5}));
ge::TensorUtils::SetSize(input_desc, 192);
ge::TensorUtils::SetRealDimCnt(input_desc, 4);

GeTensorDescPtr output_desc = std::make_shared<GeTensorDesc>();
op_def_a->AddOutputDesc(*output_desc);

output_desc->SetFormat(FORMAT_NCHW);
output_desc->SetDataType(DT_FLOAT);
output_desc->SetShape(GeShape({1, 3, 5}));
ge::TensorUtils::SetSize(*output_desc, 96);
ge::TensorUtils::SetRealDimCnt(*output_desc, 3);

OpDescPtr op_def_b = std::make_shared<OpDesc>();
op_def_b->SetName("transdata_1");
op_def_b->SetType("TransData");

int stream_num = 1;
int flag = 0;

NodePtr node_a = fusion_graph->AddNode(op_def_a);
NodePtr node_b = fusion_graph->AddNode(op_def_b);

GraphUtils::AddEdge(node_a->GetOutDataAnchor(0), node_b->GetInDataAnchor(0));
int32_t a = 1;
int32_t b = 2;

AttrUtils::SetInt(op_def_a, "fusion_scope", a);
AttrUtils::SetInt(op_def_b, "fusion_scope", b);

vector<NodePtr> node_list1;
node_list1.push_back(node_a);
vector<NodePtr> node_list2;
node_list2.push_back(node_b);
te_fusion_map[1] = node_list1;
te_fusion_map[2] = node_list2;

return FUSION_STATUS_SUCCESS;
}

uint32_t FusionTaskBuild(cce::ccHandle_t cc_handle, ge::ComputeGraphPtr fusion_graph, ge::Buffer &buffer,
ModelRes &model_res, std::vector<TaskDef> &task_def_list_) {
TaskDef task_def_temp;
task_def_list_.push_back(task_def_temp);

return FUSION_STATUS_SUCCESS;
}
uint32_t GraphFusion(ge::ComputeGraphPtr orig_graph, ge::ComputeGraphPtr fusion_graph) {
*fusion_graph = *orig_graph;
return FUSION_STATUS_SUCCESS;
}

void FusionTaskBuildComplete(std::vector<ccHandle_t> cc_handle_list) { return; }

} // namespace fusion

ccStatus_t cce::ccSetTensorDescriptorQuantizeParam(ccTensorDescriptor_t tensor_desc,
const ccVecQuantizePara_t *vec_quantize_para) {
return CC_STATUS_SUCCESS;
}

ccStatus_t cce::ccSetAllOffsetQuantizeFactors(ccQuantizeDescriptor_t quantize_info, const uint8_t *offset_w,
const uint8_t *offset_d, const uint16_t *scale_req,
const uint16_t *offset_d_next) {
return CC_STATUS_SUCCESS;
}

+ 0
- 29
tests/depends/cce/src/op_kernel_registry.cc View File

@@ -1,29 +0,0 @@
#include "register/op_kernel_registry.h"

namespace ge {
class OpKernelRegistry::OpKernelRegistryImpl {

};

OpKernelRegistry::OpKernelRegistry() {
}

OpKernelRegistry::~OpKernelRegistry() {

}

bool OpKernelRegistry::IsRegistered(const std::string &op_type) {
return false;
}

std::unique_ptr<HostCpuOp> OpKernelRegistry::CreateHostCpuOp(const std::string &op_type) {
return nullptr;
}

void OpKernelRegistry::RegisterHostCpuOp(const std::string &op_type, CreateFn create_fn) {
}

HostCpuOpRegistrar::HostCpuOpRegistrar(const char *op_type, HostCpuOp *(*create_fn)()) {

}
} // namespace ge

+ 19
- 46
tests/ut/common/graph/CMakeLists.txt View File

@@ -61,53 +61,26 @@ set(UT_FILES
"testcase/ge_graph/ge_model_unittest.cc" "testcase/ge_graph/ge_model_unittest.cc"
) )


set(SRC_FILES
"${GE_CODE_DIR}/metadef/graph/option/ge_local_context.cc"
"${GE_CODE_DIR}/metadef/graph/option/ge_context.cc"
"${GE_CODE_DIR}/metadef/graph/anchor.cc"
"${GE_CODE_DIR}/metadef/graph/ge_attr_value.cc"
"${GE_CODE_DIR}/metadef/graph/attr_value.cc"
"${GE_CODE_DIR}/metadef/graph/buffer.cc"
"${GE_CODE_DIR}/metadef/graph/aligned_ptr.cc"
"${GE_CODE_DIR}/metadef/graph/compute_graph.cc"
"${GE_CODE_DIR}/metadef/graph/ge_attr_define.cc"
"${GE_CODE_DIR}/metadef/graph/graph.cc"
"${GE_CODE_DIR}/metadef/graph/gnode.cc"
"${GE_CODE_DIR}/metadef/graph/ascend_string.cc"
"${GE_CODE_DIR}/metadef/graph/model.cc"
"${GE_CODE_DIR}/metadef/graph/model_serialize.cc"
"${GE_CODE_DIR}/metadef/graph/node.cc"
"${GE_CODE_DIR}/metadef/graph/op_desc.cc"
"${GE_CODE_DIR}/metadef/graph/operator.cc"
"${GE_CODE_DIR}/metadef/graph/operator_factory.cc"
"${GE_CODE_DIR}/metadef/graph/operator_factory_impl.cc"
"${GE_CODE_DIR}/metadef/graph/tensor.cc"
"${GE_CODE_DIR}/metadef/graph/types.cc"
"${GE_CODE_DIR}/metadef/graph/ge_tensor.cc"
"${GE_CODE_DIR}/metadef/graph/shape_refiner.cc"
"${GE_CODE_DIR}/metadef/graph/format_refiner.cc"
"${GE_CODE_DIR}/metadef/graph/inference_context.cc"
"${GE_CODE_DIR}/metadef/graph/detail/attributes_holder.cc"
"${GE_CODE_DIR}/metadef/graph/utils/anchor_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/graph_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/dumper/ge_graph_dumper.cc"
"${GE_CODE_DIR}/metadef/graph/utils/node_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/op_desc_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/type_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/ge_ir_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/tensor_utils.cc"
"${GE_CODE_DIR}/metadef/ops/op_imp.cpp"
"${GE_CODE_DIR}/metadef/graph/opsproto/opsproto_manager.cc"
"${GE_CODE_DIR}/metadef/graph/runtime_inference_context.cc"
"${GE_CODE_DIR}/metadef/graph/ref_relation.cc"
"${GE_CODE_DIR}/metadef/third_party/transformer/src/transfer_shape_according_to_format.cc"
"${GE_CODE_DIR}/metadef/third_party/transformer/src/axis_util.cc"
"${GE_CODE_DIR}/metadef/third_party/transformer/src/expand_dimension.cc"
"${GE_CODE_DIR}/metadef/graph/utils/transformer_utils.cc"
)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/graph GRAPH_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/graph/detail GRAPH_DETAIL_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/graph/opsproto GRAPH_OPSPROTO_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/graph/option GRAPH_OPTION_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/graph/utils GRAPH_UTILS_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/graph/utils/dumper GRAPH_DUMPER_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/ops GRAPH_OPS_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/third_party/transformer/src TRANSFORMER_SRC_FILES)


#add_executable(ut_libgraph ${UT_FILES} ${SRC_FILES} ${PROTO_SRCS} ${PROTO_HDRS})
add_executable(ut_libgraph ${UT_FILES} ${SRC_FILES} ${PROTO_SRCS} ${PROTO_HDRS})
add_executable(ut_libgraph ${UT_FILES}
${GRAPH_SRC_FILES}
${GRAPH_UTILS_SRC_FILES}
${GRAPH_OPSPROTO_SRC_FILES}
${GRAPH_OPTION_SRC_FILES}
${GRAPH_DETAIL_SRC_FILES}
${GRAPH_DUMPER_SRC_FILES}
${GRAPH_OPS_SRC_FILES}
${TRANSFORMER_SRC_FILES}
${PROTO_SRCS} ${PROTO_HDRS}
)


target_compile_options(ut_libgraph PRIVATE target_compile_options(ut_libgraph PRIVATE
-g --coverage -fprofile-arcs -ftest-coverage -g --coverage -fprofile-arcs -ftest-coverage


+ 25
- 61
tests/ut/ge/CMakeLists.txt View File

@@ -20,6 +20,7 @@ set(CMAKE_CXX_STANDARD 11)
set(PROTO_LIST set(PROTO_LIST
"${GE_CODE_DIR}/metadef/proto/om.proto" "${GE_CODE_DIR}/metadef/proto/om.proto"
"${GE_CODE_DIR}/metadef/proto/ge_ir.proto" "${GE_CODE_DIR}/metadef/proto/ge_ir.proto"
"${GE_CODE_DIR}/metadef/proto/task.proto"
"${GE_CODE_DIR}/metadef/proto/ge_api.proto" "${GE_CODE_DIR}/metadef/proto/ge_api.proto"
"${GE_CODE_DIR}/metadef/proto/insert_op.proto" "${GE_CODE_DIR}/metadef/proto/insert_op.proto"
"${GE_CODE_DIR}/metadef/proto/dump_task.proto" "${GE_CODE_DIR}/metadef/proto/dump_task.proto"
@@ -69,62 +70,19 @@ include_directories(${CMAKE_BINARY_DIR})
include_directories(${CMAKE_BINARY_DIR}/proto/ge) include_directories(${CMAKE_BINARY_DIR}/proto/ge)
include_directories(${CMAKE_BINARY_DIR}/proto/ge/proto) include_directories(${CMAKE_BINARY_DIR}/proto/ge/proto)


set(GRAPH_SRC_FILES
"${GE_CODE_DIR}/metadef/graph/option/ge_local_context.cc"
"${GE_CODE_DIR}/metadef/graph/option/ge_context.cc"
"${GE_CODE_DIR}/metadef/graph/ge_attr_define.cc"
"${GE_CODE_DIR}/metadef/graph/anchor.cc"
"${GE_CODE_DIR}/metadef/graph/ge_attr_value.cc"
"${GE_CODE_DIR}/metadef/graph/attr_value.cc"
"${GE_CODE_DIR}/metadef/graph/buffer.cc"
"${GE_CODE_DIR}/metadef/graph/aligned_ptr.cc"
"${GE_CODE_DIR}/metadef/graph/compute_graph.cc"
"${GE_CODE_DIR}/metadef/graph/graph.cc"
"${GE_CODE_DIR}/metadef/graph/gnode.cc"
"${GE_CODE_DIR}/metadef/graph/ascend_string.cc"
"${GE_CODE_DIR}/metadef/graph/inference_context.cc"
"${GE_CODE_DIR}/metadef/graph/shape_refiner.cc"
"${GE_CODE_DIR}/metadef/graph/model.cc"
"${GE_CODE_DIR}/metadef/graph/model_serialize.cc"
"${GE_CODE_DIR}/metadef/graph/node.cc"
"${GE_CODE_DIR}/metadef/graph/runtime_inference_context.cc"
"${GE_CODE_DIR}/metadef/graph/op_desc.cc"
"${GE_CODE_DIR}/metadef/third_party/transformer/src/transfer_shape_according_to_format.cc"
"${GE_CODE_DIR}/metadef/third_party/transformer/src/axis_util.cc"
"${GE_CODE_DIR}/metadef/third_party/transformer/src/expand_dimension.cc"
"${GE_CODE_DIR}/metadef/graph/operator.cc"
"${GE_CODE_DIR}/metadef/graph/operator_factory.cc"
"${GE_CODE_DIR}/metadef/graph/operator_factory_impl.cc"
"${GE_CODE_DIR}/metadef/graph/ge_tensor.cc"
"${GE_CODE_DIR}/metadef/graph/ref_relation.cc"
"${GE_CODE_DIR}/metadef/graph/tensor.cc"
"${GE_CODE_DIR}/metadef/graph/types.cc"
"${GE_CODE_DIR}/metadef/graph/detail/attributes_holder.cc"
"${GE_CODE_DIR}/metadef/graph/utils/anchor_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/graph_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/dumper/ge_graph_dumper.cc"
"${GE_CODE_DIR}/metadef/graph/utils/ge_ir_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/node_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/op_desc_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/tensor_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/type_utils.cc"
"${GE_CODE_DIR}/metadef/graph/utils/transformer_utils.cc"
"${GE_CODE_DIR}/metadef/graph/debug/graph_debug.cc"
"${GE_CODE_DIR}/metadef/graph/opsproto/opsproto_manager.cc"
"${GE_CODE_DIR}/metadef/ops/op_imp.cpp"
"${GE_CODE_DIR}/metadef/register/register.cpp"
"${GE_CODE_DIR}/metadef/register/register_pass.cpp"
"${GE_CODE_DIR}/metadef/register/op_kernel_registry.cpp"
"${GE_CODE_DIR}/metadef/register/auto_mapping_util.cpp"
"${GE_CODE_DIR}/metadef/register/tensor_assign.cpp"
"${GE_CODE_DIR}/metadef/register/register_format_transfer.cc"
"${GE_CODE_DIR}/metadef/graph/format_refiner.cc"
"${GE_CODE_DIR}/metadef/register/ops_kernel_builder_registry.cc"
"${GE_CODE_DIR}/metadef/register/op_tiling.cpp"
"${GE_CODE_DIR}/metadef/graph/utils/tuning_utils.cc"
"${GE_CODE_DIR}/metadef/register/op_tiling_registry.cpp"
"${GE_CODE_DIR}/metadef/register/op_tiling_registry_impl.cpp"
)

#### GRAPH_SRC_FILES ####
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/graph GRAPH_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/graph/debug GRAPH_DEBUG_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/graph/detail GRAPH_DETAIL_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/graph/opsproto GRAPH_OPSPROTO_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/graph/option GRAPH_OPTION_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/graph/utils GRAPH_UTILS_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/graph/utils/dumper GRAPH_DUMPER_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/ops GRAPH_OPS_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/register GRAPH_REGISTER_SRC_FILES)
AUX_SOURCE_DIRECTORY(${GE_CODE_DIR}/metadef/third_party/transformer/src TRANSFORMER_SRC_FILES)



set(PARSER_SRC_FILES set(PARSER_SRC_FILES
"${GE_CODE_DIR}/parser/parser/common/op_map.cc" "${GE_CODE_DIR}/parser/parser/common/op_map.cc"
@@ -259,7 +217,6 @@ set(GRAPH_PREPARE_COMMON_SRC_FILES
"${GE_CODE_DIR}/ge/graph/preprocess/insert_op/util_insert_aipp_op.cc" "${GE_CODE_DIR}/ge/graph/preprocess/insert_op/util_insert_aipp_op.cc"
"${GE_CODE_DIR}/ge/graph/preprocess/insert_op/ge_aipp_op.cc" "${GE_CODE_DIR}/ge/graph/preprocess/insert_op/ge_aipp_op.cc"
"${GE_CODE_DIR}/ge/graph/preprocess/multi_batch_options.cc" "${GE_CODE_DIR}/ge/graph/preprocess/multi_batch_options.cc"
#"${GE_CODE_DIR}/ge/graph/preprocess/insert_op/base_insert_op.cc"
) )


set(GRAPH_DAVINCI_MODEL_SRC_FILES set(GRAPH_DAVINCI_MODEL_SRC_FILES
@@ -360,7 +317,6 @@ set(GRAPH_PASS_COMMON_SRC_FILES
"${GE_CODE_DIR}/ge/graph/passes/compile_nodes_pass.cc" "${GE_CODE_DIR}/ge/graph/passes/compile_nodes_pass.cc"
"${GE_CODE_DIR}/ge/graph/passes/flow_ctrl_pass.cc" "${GE_CODE_DIR}/ge/graph/passes/flow_ctrl_pass.cc"
"${GE_CODE_DIR}/ge/graph/passes/parallel_group_pass.cc" "${GE_CODE_DIR}/ge/graph/passes/parallel_group_pass.cc"
#"${GE_CODE_DIR}/ge/graph/optimize/optimizer/allreduce_fusion_pass.cc"
"${GE_CODE_DIR}/ge/graph/passes/folding_pass.cc" "${GE_CODE_DIR}/ge/graph/passes/folding_pass.cc"
"${GE_CODE_DIR}/ge/graph/passes/variable_op_pass.cc" "${GE_CODE_DIR}/ge/graph/passes/variable_op_pass.cc"
"${GE_CODE_DIR}/ge/graph/passes/transpose_transdata_pass.cc" "${GE_CODE_DIR}/ge/graph/passes/transpose_transdata_pass.cc"
@@ -570,7 +526,6 @@ set(DISTINCT_GRAPH_LOAD_TEST_FILES
#"graph/load/new_model_manager_data_inputer_unittest.cc" #"graph/load/new_model_manager_data_inputer_unittest.cc"
#"graph/load/new_model_manager_davinci_model_unittest.cc" #"graph/load/new_model_manager_davinci_model_unittest.cc"
"graph/load/model_manager_unittest.cc" "graph/load/model_manager_unittest.cc"
#"graph/load/new_model_manager_task_build_unittest.cc"
"graph/load/new_model_manager_model_manager_aicpu_unittest.cc" "graph/load/new_model_manager_model_manager_aicpu_unittest.cc"
"graph/load/end_graph_task_unittest.cc" "graph/load/end_graph_task_unittest.cc"
"graph/load/new_model_manager_event_manager_unittest.cc" "graph/load/new_model_manager_event_manager_unittest.cc"
@@ -795,7 +750,6 @@ set(OTHERS_TEST_FILES
list(APPEND COMMON_SHARED_LIBRARIES list(APPEND COMMON_SHARED_LIBRARIES
c_sec c_sec
slog_stub slog_stub
cce_ge_stub
runtime_stub runtime_stub
profiler_stub profiler_stub
mmpa_stub mmpa_stub
@@ -808,7 +762,17 @@ list(APPEND COMMON_SHARED_LIBRARIES


# build graph # build graph
add_library(ge_ut_graph STATIC add_library(ge_ut_graph STATIC
${GRAPH_SRC_FILES} ${PARSER_SRC_FILES} ${PROTO_SRCS} ${PROTO_HDRS}
${GRAPH_SRC_FILES}
${GRAPH_DEBUG_SRC_FILES}
${GRAPH_DETAIL_SRC_FILES}
${GRAPH_OPSPROTO_SRC_FILES}
${GRAPH_OPTION_SRC_FILES}
${GRAPH_UTILS_SRC_FILES}
${GRAPH_DUMPER_SRC_FILES}
${GRAPH_OPS_SRC_FILES}
${GRAPH_REGISTER_SRC_FILES}
${TRANSFORMER_SRC_FILES}
${PARSER_SRC_FILES} ${PROTO_SRCS} ${PROTO_HDRS}
) )


target_compile_definitions(ge_ut_graph PRIVATE target_compile_definitions(ge_ut_graph PRIVATE


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