Error creating engineConfig with cuDNN Graph API in custom implementation

I’m working on a custom implementation using cuDNN’s Graph API, but I’m encountering an error when creating the engineConfig. I’m trying to implement this directly using cuDNN’s backend API calls, without using the cudnn_frontend library.

Here’s the problematic part of my code:

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<code>#include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <string>
#include <cudnn.h>
void assertDescriptorIsNull(cudnnBackendDescriptor_t desc) {
if (desc == NULL) {
fprintf(stderr, "Error: descriptor is not NULLn");
exit(-1);
}
}
cudnnBackendDescriptor_t tensorDescriptorCreate(
int64_t numDim,
int64_t *dim,
int64_t *stride,
int64_t byteAlignment,
cudnnDataType_t dataType,
std::string name
) {
const char *name_ptr = name.c_str();
cudnnBackendDescriptor_t tensorDesc;
CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_TENSOR_DESCRIPTOR, &tensorDesc));
assertDescriptorIsNull(tensorDesc);
CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc,
CUDNN_ATTR_TENSOR_DATA_TYPE, CUDNN_TYPE_DATA_TYPE, 1, &dataType));
assertDescriptorIsNull(tensorDesc);
CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc,
CUDNN_ATTR_TENSOR_DIMENSIONS, CUDNN_TYPE_INT64, numDim, dim));
assertDescriptorIsNull(tensorDesc);
CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc,
CUDNN_ATTR_TENSOR_STRIDES, CUDNN_TYPE_INT64, numDim, stride));
assertDescriptorIsNull(tensorDesc);
CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc,
CUDNN_ATTR_TENSOR_BYTE_ALIGNMENT, CUDNN_TYPE_INT64, 1, &byteAlignment));
assertDescriptorIsNull(tensorDesc);
CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc,
CUDNN_ATTR_TENSOR_UNIQUE_ID, CUDNN_TYPE_INT64, 1, name_ptr));
assertDescriptorIsNull(tensorDesc);
CHECK_CUDNN(cudnnBackendFinalize(tensorDesc));
assertDescriptorIsNull(tensorDesc);
return tensorDesc;
}
cudnnBackendDescriptor_t init_graph(cudnnHandle_t cudnn) {
cudnnBackendDescriptor_t graph;
CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_OPERATIONGRAPH_DESCRIPTOR, &graph));
CHECK_CUDNN(cudnnBackendSetAttribute(graph, CUDNN_ATTR_OPERATIONGRAPH_HANDLE, CUDNN_TYPE_HANDLE, 1, &cudnn));
return graph;
}
void finalize_graph(cudnnBackendDescriptor_t graph) {
CHECK_CUDNN(cudnnBackendFinalize(graph));
}
cudnnBackendDescriptor_t create_engine_by_graph(cudnnBackendDescriptor_t graph) {
cudnnBackendDescriptor_t engine;
CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_ENGINE_DESCRIPTOR, &engine));
CHECK_CUDNN(cudnnBackendSetAttribute(engine, CUDNN_ATTR_ENGINE_OPERATION_GRAPH,
CUDNN_TYPE_BACKEND_DESCRIPTOR, 1, &graph));
int64_t gidx = 0;
CHECK_CUDNN(cudnnBackendSetAttribute(engine, CUDNN_ATTR_ENGINE_GLOBAL_INDEX,
CUDNN_TYPE_INT64, 1, &gidx));
CHECK_CUDNN(cudnnBackendFinalize(engine));
return engine;
}
struct EngineConfig {
cudnnBackendDescriptor_t engcfg;
int64_t workspaceSize;
};
struct EngineConfig engineConfigDescriptorCreate(cudnnBackendDescriptor_t engine) {
cudnnBackendDescriptor_t engcfg;
CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_ENGINECFG_DESCRIPTOR, &engcfg));
CHECK_CUDNN(cudnnBackendSetAttribute(engcfg, CUDNN_ATTR_ENGINECFG_ENGINE,
CUDNN_TYPE_BACKEND_DESCRIPTOR, 1, &engine));
CHECK_CUDNN(cudnnBackendFinalize(engcfg)); // error occer !!!!!
int64_t workspaceSize;
CHECK_CUDNN(cudnnBackendGetAttribute(engcfg, CUDNN_ATTR_ENGINECFG_WORKSPACE_SIZE,
CUDNN_TYPE_INT64, 1, NULL, &workspaceSize));
struct EngineConfig config = {engcfg, workspaceSize};
return config;
}
class NormConfig {
private:
cudnnHandle_t cudnn;
cudnnBackendDescriptor_t norm_desc;
cudnnBackendDescriptor_t mode;
cudnnBackendDescriptor_t phase;
cudnnBackendDescriptor_t x_desc;
cudnnBackendDescriptor_t y_desc;
cudnnBackendDescriptor_t mean_desc;
cudnnBackendDescriptor_t inv_var_desc;
cudnnBackendDescriptor_t scale_desc;
cudnnBackendDescriptor_t bias_desc;
cudnnBackendDescriptor_t epsilon_desc;
cudnnBackendDescriptor_t input_running_mean_desc;
cudnnBackendDescriptor_t input_running_var_desc;
cudnnBackendDescriptor_t output_running_mean_desc;
cudnnBackendDescriptor_t output_running_var_desc;
cudnnBackendDescriptor_t op_graph;
void setAttribute(cudnnBackendDescriptor_t desc, cudnnBackendAttributeName_t attr, cudnnBackendAttributeType_t type, int64_t num, void *value) {
CHECK_CUDNN(cudnnBackendSetAttribute(desc, attr, type, num, value));
}
void setTensorAttribute(cudnnBackendDescriptor_t desc, cudnnBackendAttributeName_t attr, cudnnBackendDescriptor_t tensor_desc) {
this->setAttribute(desc, attr, CUDNN_TYPE_BACKEND_DESCRIPTOR, 1, &tensor_desc);
}
public:
NormConfig(cudnnHandle_t cudnn_, cudnnBackendDescriptor_t graph) : cudnn(cudnn_), op_graph(graph) {}
void CreateNormDesc(
int64_t batch_size,
int64_t channels,
int64_t height,
int64_t width,
cudnnBackendNormMode_t mode,
cudnnBackendNormFwdPhase_t phase
) {
CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_OPERATION_NORM_FORWARD_DESCRIPTOR, &this->norm_desc));
setAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_MODE, CUDNN_TYPE_NORM_MODE, 1, &mode);
setAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_PHASE, CUDNN_TYPE_NORM_FWD_PHASE, 1, &phase);
int64_t dims[4] = {batch_size, channels, height, width};
int64_t strides[4] = {channels * height * width, height * width, width, 1};
int64_t scalar[4] = {1, 1, 1, 1};
int64_t dim2d[4] = {1, channels, 1, 1};
int64_t dim2d_stride[4] = {channels, 1, channels, channels};
this->x_desc = tensorDescriptorCreate(4, dims, strides, 4, CUDNN_DATA_FLOAT, std::string("x"));
this->y_desc = tensorDescriptorCreate(4, dims, strides, 4, CUDNN_DATA_FLOAT, std::string("y"));
this->mean_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("mean"));
this->inv_var_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("inv_var"));
this->scale_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("scale"));
this->bias_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("bias"));
this->epsilon_desc = tensorDescriptorCreate(4, scalar, scalar, 4, CUDNN_DATA_FLOAT, std::string("epsilon"));
this->input_running_mean_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("input_running_mean"));
this->input_running_var_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("input_running_var"));
this->output_running_mean_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("output_running_mean"));
this->output_running_var_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("output_running_var"));
setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_XDESC, this->x_desc);
setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_MEAN_DESC, this->mean_desc);
setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_INV_VARIANCE_DESC, this->inv_var_desc);
setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_SCALE_DESC, this->scale_desc);
setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_BIAS_DESC, this->bias_desc);
setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_EPSILON_DESC, this->epsilon_desc);
setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_INPUT_RUNNING_MEAN_DESC, this->input_running_mean_desc);
setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_INPUT_RUNNING_VAR_DESC, this->input_running_var_desc);
setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_OUTPUT_RUNNING_MEAN_DESC, this->output_running_mean_desc);
setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_OUTPUT_RUNNING_VAR_DESC, this->output_running_var_desc);
setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_YDESC, this->y_desc);
CHECK_CUDNN(cudnnBackendFinalize(this->norm_desc));
};
void register_graph() {
CHECK_CUDNN(cudnnBackendSetAttribute(this->op_graph, CUDNN_ATTR_OPERATIONGRAPH_OPS, CUDNN_TYPE_BACKEND_DESCRIPTOR, 1, &this->norm_desc));
}
};
int main() {
cudnnHandle_t cudnn;
CHECK_CUDNN(cudnnCreate(&cudnn));
cudnnBackendDescriptor_t graph = init_graph(cudnn);
NormConfig norm_config = NormConfig(cudnn, graph);
norm_config.CreateNormDesc(4, 3, 224, 224, CUDNN_LAYER_NORM, CUDNN_NORM_FWD_TRAINING);
norm_config.register_graph();
finalize_graph(graph);
cudnnBackendDescriptor_t engine = create_engine_by_graph(graph);
struct EngineConfig config = engineConfigDescriptorCreate(engine);
return 0;
}
</code>
<code>#include <iostream> #include <stdio.h> #include <stdlib.h> #include <string> #include <cudnn.h> void assertDescriptorIsNull(cudnnBackendDescriptor_t desc) { if (desc == NULL) { fprintf(stderr, "Error: descriptor is not NULLn"); exit(-1); } } cudnnBackendDescriptor_t tensorDescriptorCreate( int64_t numDim, int64_t *dim, int64_t *stride, int64_t byteAlignment, cudnnDataType_t dataType, std::string name ) { const char *name_ptr = name.c_str(); cudnnBackendDescriptor_t tensorDesc; CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_TENSOR_DESCRIPTOR, &tensorDesc)); assertDescriptorIsNull(tensorDesc); CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc, CUDNN_ATTR_TENSOR_DATA_TYPE, CUDNN_TYPE_DATA_TYPE, 1, &dataType)); assertDescriptorIsNull(tensorDesc); CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc, CUDNN_ATTR_TENSOR_DIMENSIONS, CUDNN_TYPE_INT64, numDim, dim)); assertDescriptorIsNull(tensorDesc); CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc, CUDNN_ATTR_TENSOR_STRIDES, CUDNN_TYPE_INT64, numDim, stride)); assertDescriptorIsNull(tensorDesc); CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc, CUDNN_ATTR_TENSOR_BYTE_ALIGNMENT, CUDNN_TYPE_INT64, 1, &byteAlignment)); assertDescriptorIsNull(tensorDesc); CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc, CUDNN_ATTR_TENSOR_UNIQUE_ID, CUDNN_TYPE_INT64, 1, name_ptr)); assertDescriptorIsNull(tensorDesc); CHECK_CUDNN(cudnnBackendFinalize(tensorDesc)); assertDescriptorIsNull(tensorDesc); return tensorDesc; } cudnnBackendDescriptor_t init_graph(cudnnHandle_t cudnn) { cudnnBackendDescriptor_t graph; CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_OPERATIONGRAPH_DESCRIPTOR, &graph)); CHECK_CUDNN(cudnnBackendSetAttribute(graph, CUDNN_ATTR_OPERATIONGRAPH_HANDLE, CUDNN_TYPE_HANDLE, 1, &cudnn)); return graph; } void finalize_graph(cudnnBackendDescriptor_t graph) { CHECK_CUDNN(cudnnBackendFinalize(graph)); } cudnnBackendDescriptor_t create_engine_by_graph(cudnnBackendDescriptor_t graph) { cudnnBackendDescriptor_t engine; CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_ENGINE_DESCRIPTOR, &engine)); CHECK_CUDNN(cudnnBackendSetAttribute(engine, CUDNN_ATTR_ENGINE_OPERATION_GRAPH, CUDNN_TYPE_BACKEND_DESCRIPTOR, 1, &graph)); int64_t gidx = 0; CHECK_CUDNN(cudnnBackendSetAttribute(engine, CUDNN_ATTR_ENGINE_GLOBAL_INDEX, CUDNN_TYPE_INT64, 1, &gidx)); CHECK_CUDNN(cudnnBackendFinalize(engine)); return engine; } struct EngineConfig { cudnnBackendDescriptor_t engcfg; int64_t workspaceSize; }; struct EngineConfig engineConfigDescriptorCreate(cudnnBackendDescriptor_t engine) { cudnnBackendDescriptor_t engcfg; CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_ENGINECFG_DESCRIPTOR, &engcfg)); CHECK_CUDNN(cudnnBackendSetAttribute(engcfg, CUDNN_ATTR_ENGINECFG_ENGINE, CUDNN_TYPE_BACKEND_DESCRIPTOR, 1, &engine)); CHECK_CUDNN(cudnnBackendFinalize(engcfg)); // error occer !!!!! int64_t workspaceSize; CHECK_CUDNN(cudnnBackendGetAttribute(engcfg, CUDNN_ATTR_ENGINECFG_WORKSPACE_SIZE, CUDNN_TYPE_INT64, 1, NULL, &workspaceSize)); struct EngineConfig config = {engcfg, workspaceSize}; return config; } class NormConfig { private: cudnnHandle_t cudnn; cudnnBackendDescriptor_t norm_desc; cudnnBackendDescriptor_t mode; cudnnBackendDescriptor_t phase; cudnnBackendDescriptor_t x_desc; cudnnBackendDescriptor_t y_desc; cudnnBackendDescriptor_t mean_desc; cudnnBackendDescriptor_t inv_var_desc; cudnnBackendDescriptor_t scale_desc; cudnnBackendDescriptor_t bias_desc; cudnnBackendDescriptor_t epsilon_desc; cudnnBackendDescriptor_t input_running_mean_desc; cudnnBackendDescriptor_t input_running_var_desc; cudnnBackendDescriptor_t output_running_mean_desc; cudnnBackendDescriptor_t output_running_var_desc; cudnnBackendDescriptor_t op_graph; void setAttribute(cudnnBackendDescriptor_t desc, cudnnBackendAttributeName_t attr, cudnnBackendAttributeType_t type, int64_t num, void *value) { CHECK_CUDNN(cudnnBackendSetAttribute(desc, attr, type, num, value)); } void setTensorAttribute(cudnnBackendDescriptor_t desc, cudnnBackendAttributeName_t attr, cudnnBackendDescriptor_t tensor_desc) { this->setAttribute(desc, attr, CUDNN_TYPE_BACKEND_DESCRIPTOR, 1, &tensor_desc); } public: NormConfig(cudnnHandle_t cudnn_, cudnnBackendDescriptor_t graph) : cudnn(cudnn_), op_graph(graph) {} void CreateNormDesc( int64_t batch_size, int64_t channels, int64_t height, int64_t width, cudnnBackendNormMode_t mode, cudnnBackendNormFwdPhase_t phase ) { CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_OPERATION_NORM_FORWARD_DESCRIPTOR, &this->norm_desc)); setAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_MODE, CUDNN_TYPE_NORM_MODE, 1, &mode); setAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_PHASE, CUDNN_TYPE_NORM_FWD_PHASE, 1, &phase); int64_t dims[4] = {batch_size, channels, height, width}; int64_t strides[4] = {channels * height * width, height * width, width, 1}; int64_t scalar[4] = {1, 1, 1, 1}; int64_t dim2d[4] = {1, channels, 1, 1}; int64_t dim2d_stride[4] = {channels, 1, channels, channels}; this->x_desc = tensorDescriptorCreate(4, dims, strides, 4, CUDNN_DATA_FLOAT, std::string("x")); this->y_desc = tensorDescriptorCreate(4, dims, strides, 4, CUDNN_DATA_FLOAT, std::string("y")); this->mean_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("mean")); this->inv_var_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("inv_var")); this->scale_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("scale")); this->bias_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("bias")); this->epsilon_desc = tensorDescriptorCreate(4, scalar, scalar, 4, CUDNN_DATA_FLOAT, std::string("epsilon")); this->input_running_mean_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("input_running_mean")); this->input_running_var_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("input_running_var")); this->output_running_mean_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("output_running_mean")); this->output_running_var_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("output_running_var")); setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_XDESC, this->x_desc); setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_MEAN_DESC, this->mean_desc); setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_INV_VARIANCE_DESC, this->inv_var_desc); setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_SCALE_DESC, this->scale_desc); setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_BIAS_DESC, this->bias_desc); setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_EPSILON_DESC, this->epsilon_desc); setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_INPUT_RUNNING_MEAN_DESC, this->input_running_mean_desc); setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_INPUT_RUNNING_VAR_DESC, this->input_running_var_desc); setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_OUTPUT_RUNNING_MEAN_DESC, this->output_running_mean_desc); setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_OUTPUT_RUNNING_VAR_DESC, this->output_running_var_desc); setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_YDESC, this->y_desc); CHECK_CUDNN(cudnnBackendFinalize(this->norm_desc)); }; void register_graph() { CHECK_CUDNN(cudnnBackendSetAttribute(this->op_graph, CUDNN_ATTR_OPERATIONGRAPH_OPS, CUDNN_TYPE_BACKEND_DESCRIPTOR, 1, &this->norm_desc)); } }; int main() { cudnnHandle_t cudnn; CHECK_CUDNN(cudnnCreate(&cudnn)); cudnnBackendDescriptor_t graph = init_graph(cudnn); NormConfig norm_config = NormConfig(cudnn, graph); norm_config.CreateNormDesc(4, 3, 224, 224, CUDNN_LAYER_NORM, CUDNN_NORM_FWD_TRAINING); norm_config.register_graph(); finalize_graph(graph); cudnnBackendDescriptor_t engine = create_engine_by_graph(graph); struct EngineConfig config = engineConfigDescriptorCreate(engine); return 0; } </code>
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <string>

#include <cudnn.h>

void assertDescriptorIsNull(cudnnBackendDescriptor_t desc) {
  if (desc == NULL) {
    fprintf(stderr, "Error: descriptor is not NULLn");
    exit(-1);
  }
}

cudnnBackendDescriptor_t tensorDescriptorCreate(
  int64_t numDim, 
  int64_t *dim, 
  int64_t *stride, 
  int64_t byteAlignment, 
  cudnnDataType_t dataType, 
  std::string name
) {
  const char *name_ptr = name.c_str();
  cudnnBackendDescriptor_t tensorDesc;
  CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_TENSOR_DESCRIPTOR, &tensorDesc));
  assertDescriptorIsNull(tensorDesc);

  CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc, 
                           CUDNN_ATTR_TENSOR_DATA_TYPE, CUDNN_TYPE_DATA_TYPE, 1, &dataType));
  assertDescriptorIsNull(tensorDesc);

  CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc, 
                          CUDNN_ATTR_TENSOR_DIMENSIONS, CUDNN_TYPE_INT64, numDim, dim));
  assertDescriptorIsNull(tensorDesc);

  CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc, 
                           CUDNN_ATTR_TENSOR_STRIDES, CUDNN_TYPE_INT64, numDim, stride));
  assertDescriptorIsNull(tensorDesc);

  CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc, 
                           CUDNN_ATTR_TENSOR_BYTE_ALIGNMENT, CUDNN_TYPE_INT64, 1, &byteAlignment));
  assertDescriptorIsNull(tensorDesc);

  CHECK_CUDNN(cudnnBackendSetAttribute(tensorDesc, 
                           CUDNN_ATTR_TENSOR_UNIQUE_ID, CUDNN_TYPE_INT64, 1, name_ptr));
  assertDescriptorIsNull(tensorDesc);

  CHECK_CUDNN(cudnnBackendFinalize(tensorDesc));
  assertDescriptorIsNull(tensorDesc);

  return tensorDesc;
}

cudnnBackendDescriptor_t init_graph(cudnnHandle_t cudnn) {
  cudnnBackendDescriptor_t graph;
  CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_OPERATIONGRAPH_DESCRIPTOR, &graph));
  CHECK_CUDNN(cudnnBackendSetAttribute(graph, CUDNN_ATTR_OPERATIONGRAPH_HANDLE, CUDNN_TYPE_HANDLE, 1, &cudnn));
  return graph;
}

void finalize_graph(cudnnBackendDescriptor_t graph) {
  CHECK_CUDNN(cudnnBackendFinalize(graph));
}

cudnnBackendDescriptor_t create_engine_by_graph(cudnnBackendDescriptor_t graph) {
  cudnnBackendDescriptor_t engine;
  CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_ENGINE_DESCRIPTOR, &engine));
  CHECK_CUDNN(cudnnBackendSetAttribute(engine, CUDNN_ATTR_ENGINE_OPERATION_GRAPH,
                          CUDNN_TYPE_BACKEND_DESCRIPTOR, 1, &graph));
  int64_t gidx = 0;
  CHECK_CUDNN(cudnnBackendSetAttribute(engine, CUDNN_ATTR_ENGINE_GLOBAL_INDEX,
                          CUDNN_TYPE_INT64, 1, &gidx));
  CHECK_CUDNN(cudnnBackendFinalize(engine));
  return engine;
}

struct EngineConfig {
  cudnnBackendDescriptor_t engcfg;
  int64_t workspaceSize;
};

struct EngineConfig engineConfigDescriptorCreate(cudnnBackendDescriptor_t engine) {
  cudnnBackendDescriptor_t engcfg;
  CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_ENGINECFG_DESCRIPTOR, &engcfg));
  CHECK_CUDNN(cudnnBackendSetAttribute(engcfg, CUDNN_ATTR_ENGINECFG_ENGINE,
                          CUDNN_TYPE_BACKEND_DESCRIPTOR, 1, &engine));
  CHECK_CUDNN(cudnnBackendFinalize(engcfg)); // error occer !!!!!

  int64_t workspaceSize;
  CHECK_CUDNN(cudnnBackendGetAttribute(engcfg, CUDNN_ATTR_ENGINECFG_WORKSPACE_SIZE,
                          CUDNN_TYPE_INT64, 1, NULL, &workspaceSize));
  struct EngineConfig config = {engcfg, workspaceSize};
  return config;
}

class NormConfig {
private:
  cudnnHandle_t cudnn;

  cudnnBackendDescriptor_t norm_desc;
  cudnnBackendDescriptor_t mode;
  cudnnBackendDescriptor_t phase;
  cudnnBackendDescriptor_t x_desc;
  cudnnBackendDescriptor_t y_desc;
  cudnnBackendDescriptor_t mean_desc;
  cudnnBackendDescriptor_t inv_var_desc;
  cudnnBackendDescriptor_t scale_desc;
  cudnnBackendDescriptor_t bias_desc;
  cudnnBackendDescriptor_t epsilon_desc;
  cudnnBackendDescriptor_t input_running_mean_desc;
  cudnnBackendDescriptor_t input_running_var_desc;
  cudnnBackendDescriptor_t output_running_mean_desc;
  cudnnBackendDescriptor_t output_running_var_desc;

  cudnnBackendDescriptor_t op_graph;

  void setAttribute(cudnnBackendDescriptor_t desc, cudnnBackendAttributeName_t attr, cudnnBackendAttributeType_t type, int64_t num, void *value) {
    CHECK_CUDNN(cudnnBackendSetAttribute(desc, attr, type, num, value));
  }

  void setTensorAttribute(cudnnBackendDescriptor_t desc, cudnnBackendAttributeName_t attr, cudnnBackendDescriptor_t tensor_desc) {
    this->setAttribute(desc, attr, CUDNN_TYPE_BACKEND_DESCRIPTOR, 1, &tensor_desc);
  }

public:
  NormConfig(cudnnHandle_t cudnn_, cudnnBackendDescriptor_t graph) : cudnn(cudnn_), op_graph(graph) {}

  void CreateNormDesc(
    int64_t batch_size,
    int64_t channels,
    int64_t height,
    int64_t width,
    cudnnBackendNormMode_t mode,
    cudnnBackendNormFwdPhase_t phase
  ) {
    CHECK_CUDNN(cudnnBackendCreateDescriptor(CUDNN_BACKEND_OPERATION_NORM_FORWARD_DESCRIPTOR, &this->norm_desc));
    setAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_MODE, CUDNN_TYPE_NORM_MODE, 1, &mode);
    setAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_PHASE, CUDNN_TYPE_NORM_FWD_PHASE, 1, &phase);

    int64_t dims[4] = {batch_size, channels, height, width};
    int64_t strides[4] = {channels * height * width, height * width, width, 1};
    int64_t scalar[4] = {1, 1, 1, 1};
    int64_t dim2d[4] = {1, channels, 1, 1};
    int64_t dim2d_stride[4] = {channels, 1, channels, channels};

    this->x_desc = tensorDescriptorCreate(4, dims, strides, 4, CUDNN_DATA_FLOAT, std::string("x"));
    this->y_desc = tensorDescriptorCreate(4, dims, strides, 4, CUDNN_DATA_FLOAT, std::string("y"));
    this->mean_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("mean"));
    this->inv_var_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("inv_var"));
    this->scale_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("scale"));
    this->bias_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("bias"));
    this->epsilon_desc = tensorDescriptorCreate(4, scalar, scalar, 4, CUDNN_DATA_FLOAT, std::string("epsilon"));
    this->input_running_mean_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("input_running_mean"));
    this->input_running_var_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("input_running_var"));
    this->output_running_mean_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("output_running_mean"));
    this->output_running_var_desc = tensorDescriptorCreate(4, dim2d, dim2d, 4, CUDNN_DATA_FLOAT, std::string("output_running_var"));

    setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_XDESC, this->x_desc);
    setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_MEAN_DESC, this->mean_desc);
    setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_INV_VARIANCE_DESC, this->inv_var_desc);
    setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_SCALE_DESC, this->scale_desc);
    setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_BIAS_DESC, this->bias_desc);
    setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_EPSILON_DESC, this->epsilon_desc);
    setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_INPUT_RUNNING_MEAN_DESC, this->input_running_mean_desc);
    setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_INPUT_RUNNING_VAR_DESC, this->input_running_var_desc);
    setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_OUTPUT_RUNNING_MEAN_DESC, this->output_running_mean_desc);
    setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_OUTPUT_RUNNING_VAR_DESC, this->output_running_var_desc);
    setTensorAttribute(this->norm_desc, CUDNN_ATTR_OPERATION_NORM_FWD_YDESC, this->y_desc);

    CHECK_CUDNN(cudnnBackendFinalize(this->norm_desc));
  };

  void register_graph() {
    CHECK_CUDNN(cudnnBackendSetAttribute(this->op_graph, CUDNN_ATTR_OPERATIONGRAPH_OPS, CUDNN_TYPE_BACKEND_DESCRIPTOR, 1, &this->norm_desc));
  }
};

int main() {
  cudnnHandle_t cudnn;
  CHECK_CUDNN(cudnnCreate(&cudnn));
  cudnnBackendDescriptor_t graph = init_graph(cudnn);

  NormConfig norm_config = NormConfig(cudnn, graph);
  norm_config.CreateNormDesc(4, 3, 224, 224, CUDNN_LAYER_NORM, CUDNN_NORM_FWD_TRAINING);
  norm_config.register_graph();

  finalize_graph(graph);
  cudnnBackendDescriptor_t engine = create_engine_by_graph(graph);

  struct EngineConfig config = engineConfigDescriptorCreate(engine);

  return 0;
}

When I run this code, I get an error during the creation of the engineConfig. I suspect I might be using the Graph API incorrectly or missing some crucial steps.

Questions:

  1. What are the correct steps to create an engineConfig when using cuDNN’s Graph API?
  2. Are there any common issues or things I should check that might be causing this error?
  3. Is there a way to correctly implement the Graph API using direct backend API calls without resorting to cudnn_frontend?

Any advice would be greatly appreciated. Thank you in advance for your help!

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Trang chủ Giới thiệu Sinh nhật bé trai Sinh nhật bé gái Tổ chức sự kiện Biểu diễn giải trí Dịch vụ khác Trang trí tiệc cưới Tổ chức khai trương Tư vấn dịch vụ Thư viện ảnh Tin tức - sự kiện Liên hệ Chú hề sinh nhật Trang trí YEAR END PARTY công ty Trang trí tất niên cuối năm Trang trí tất niên xu hướng mới nhất Trang trí sinh nhật bé trai Hải Đăng Trang trí sinh nhật bé Khánh Vân Trang trí sinh nhật Bích Ngân Trang trí sinh nhật bé Thanh Trang Thuê ông già Noel phát quà Biểu diễn xiếc khỉ Xiếc quay đĩa
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