def generate():
version = sys.argv[1]
update_function_order_in_functsions_yaml()
generate_functions_pkl()
function_info = utils.load_function_info(flatten=True)
solver_info = utils.load_solver_info()
function_types = utils.load_yaml_ordered(open(join(here, 'function_types.yaml'), 'r'))
solver_types = utils.load_yaml_ordered(open(join(here, 'solver_types.yaml'), 'r'))
utils.generate_init(function_info, function_types, solver_info, solver_types)
utils.generate_function_types(function_info, function_types)
utils.generate_solver_types(solver_info, solver_types)
utils.generate_version(join(base, 'python/src/nnabla/_version.py.tmpl'), base, version=version)
utils.generate_version(join(base, 'src/nbla/version.cpp.tmpl'), base, version=version)
utils.generate_version(join(base, 'doc/requirements.txt.tmpl'), base, version=version)
generate_solver_python_interface(solver_info)
generate_function_python_interface(function_info)
generate_python_utils(function_info)
generate_proto(function_info, solver_info)
generate_cpp_utils(function_info)
# Generate function skeletons if new ones are added to functions.yaml and function_types.yaml.
utils.generate_skeleton_function_impl(
function_info, function_types)
func_header_template = join(
base,
'include/nbla/function/function_impl.hpp.tmpl')
utils.generate_skeleton_function_impl(
function_info, function_types,
template=func_header_template, output_format='%s.hpp')
def generate():
function_info = utils.load_function_info(flatten=True)
solver_info = utils.load_solver_info()
function_types = utils.load_yaml_ordered(
open(join(here, 'function_types.yaml'), 'r'))
solver_types = utils.load_yaml_ordered(
open(join(here, 'solver_types.yaml'), 'r'))
utils.generate_init(function_info, function_types, solver_info,
solver_types)
utils.generate_function_types(function_info, function_types)
utils.generate_solver_types(solver_info, solver_types)
utils.generate_version()
generate_solver_python_interface(solver_info)
generate_function_python_interface(function_info)
generate_python_utils(function_info)
generate_proto(function_info, solver_info)
generate_cpp_utils(function_info)
generate_function_order(function_info)
# Generate function skeletons if new ones are added to functions.yaml and function_types.yaml.
utils.generate_skeleton_function_impl(function_info, function_types)
func_header_template = join(
base, 'include/nbla/function/function_impl.hpp.tmpl')
utils.generate_skeleton_function_impl(function_info,
function_types,
template=func_header_template,
output_format='%s.hpp')
def generate(argv):
function_info = utils.load_function_info(flatten=True)
solver_info = utils.load_solver_info()
function_types = utils.load_yaml_ordered(
open(join(here, 'function_types.yaml'), 'r'))
function_types_cudnn = utils.load_yaml_ordered(
open(join(here, 'function_types_cudnn.yaml'), 'r'))
solver_types = utils.load_yaml_ordered(
open(join(here, 'solver_types.yaml'), 'r'))
function_template = join(base,
'src/nbla/cuda/function/function_types.cu.tmpl')
function_template_cudnn = join(
base, 'src/nbla/cuda/cudnn/function/function_types.cu.tmpl')
solver_template = join(base, 'src/nbla/cuda/solver/solver_types.cu.tmpl')
init_template = join(base, 'src/nbla/cuda/init.cpp.tmpl')
init_template_cudnn = join(base, 'src/nbla/cuda/cudnn/init.cpp.tmpl')
utils.generate_init(function_info,
function_types,
solver_info,
solver_types,
ext_info={},
template=init_template)
utils.generate_init(function_info,
function_types_cudnn,
solver_info,
solver_types,
ext_info={},
template=init_template_cudnn)
utils.generate_function_types(function_info,
function_types,
ext_info={},
template=function_template,
output_format='%s.cu')
utils.generate_function_types(function_info,
function_types_cudnn,
ext_info={},
template=function_template_cudnn,
output_format='%s.cu')
utils.generate_solver_types(solver_info,
solver_types,
ext_info={},
template=solver_template,
output_format='%s.cu')
if len(argv) == 4:
version = argv[1]
cuda_version = argv[2]
cudnn_version = argv[3]
else:
version = 'unknown'
cuda_version = 'unknown'
cudnn_version = 'unknown'
utils.generate_version(template=join(
base, 'python/src/nnabla_ext/cuda/_version.py.tmpl'),
rootdir=base,
version=version,
cuda_version=cuda_version,
cudnn_version=cudnn_version)
utils.generate_version(template=join(
base, 'python/src/nnabla_ext/cudnn/_version.py.tmpl'),
rootdir=base,
version=version,
cuda_version=cuda_version,
cudnn_version=cudnn_version)
utils.generate_version(template=join(base,
'src/nbla/cuda/version.cpp.tmpl'),
rootdir=base,
version=version,
cuda_version=cuda_version,
cudnn_version=cudnn_version)
# Generate function skeletons
func_src_template = join(
base, 'src/nbla/cuda/function/generic/function_impl.cu.tmpl')
func_src_template_cudnn = join(
base, 'src/nbla/cuda/cudnn/function/generic/function_impl.cu.tmpl')
func_header_template = join(
base, 'include/nbla/cuda/function/function_impl.hpp.tmpl')
func_header_template_cudnn = join(
base, 'include/nbla/cuda/cudnn/function/function_impl.hpp.tmpl')
utils.generate_skeleton_function_impl(function_info,
function_types,
ext_info={},
template=func_src_template,
output_format='%s.cu')
utils.generate_skeleton_function_impl(function_info,
function_types,
ext_info={},
template=func_header_template,
output_format='%s.hpp')
utils.generate_skeleton_function_impl(function_info,
function_types_cudnn,
ext_info={},
template=func_src_template_cudnn,
output_format='%s.cu')
utils.generate_skeleton_function_impl(function_info,
function_types_cudnn,
ext_info={},
template=func_header_template_cudnn,
output_format='%s.hpp')
