def create(graph_json_str, libmod, ctx, dump_root=None):
"""Create a runtime executor module given a graph and module.
Parameters
----------
graph_json_str : str or graph class
The graph to be deployed in json format output by nnvm graph.
The graph can only contain one operator(tvm_op) that
points to the name of PackedFunc in the libmod.
libmod : tvm.Module
The module of the corresponding function.
ctx : TVMContext
The context to deploy the module, can be local or remote.
dump_root : str
To select which folder the outputs should be kept.
None will make a temp folder in /tmp/tvmdbg<rand_string> and does the dumping
Returns
-------
graph_module : GraphModuleDebug
Debug Runtime graph module that can be used to execute the graph.
"""
if not isinstance(graph_json_str, string_types):
try:
graph_json_str = graph_json_str._tvm_graph_json()
except AttributeError:
raise ValueError("Type %s is not supported" % type(graph_json_str))
try:
fcreate = get_global_func("tvm.graph_runtime_debug.create")
except ValueError:
raise ValueError(
"Please set '(USE_GRAPH_RUNTIME_DEBUG ON)' in "
"config.cmake and rebuild TVM to enable debug mode"
)
ctx, num_rpc_ctx, device_type_id = graph_runtime.get_device_ctx(libmod, ctx)
if num_rpc_ctx == len(ctx):
libmod = rpc_base._ModuleHandle(libmod)
try:
fcreate = ctx[0]._rpc_sess.get_function(
"tvm.graph_runtime_debug.remote_create"
)
except ValueError:
raise ValueError(
"Please set '(USE_GRAPH_RUNTIME_DEBUG ON)' in "
"config.cmake and rebuild TVM to enable debug mode"
)
func_obj = fcreate(graph_json_str, libmod, *device_type_id)
return GraphModuleDebug(func_obj, ctx, graph_json_str, dump_root)
def create(graph_json_str, libmod, ctx, dump_root=None):
"""Create a runtime executor module given a graph and module.
Parameters
----------
graph_json_str : str or graph class
The graph to be deployed in json format output by nnvm graph.
The graph can only contain one operator(tvm_op) that
points to the name of PackedFunc in the libmod.
libmod : tvm.Module
The module of the corresponding function.
ctx : TVMContext
The context to deploy the module, can be local or remote.
dump_root : str
To select which folder the outputs should be kept.
None will make a temp folder in /tmp/tvmdbg<rand_string> and does the dumping
Returns
-------
graph_module : GraphModuleDebug
Debug Runtime graph module that can be used to execute the graph.
"""
if not isinstance(graph_json_str, string_types):
try:
graph_json_str = graph_json_str._tvm_graph_json()
except AttributeError:
raise ValueError("Type %s is not supported" % type(graph_json_str))
try:
fcreate = get_global_func("tvm.graph_runtime_debug.create")
except ValueError:
raise ValueError("Please set '(USE_GRAPH_RUNTIME_DEBUG ON)' in " \
"config.cmake and rebuild TVM to enable debug mode")
ctx, num_rpc_ctx, device_type_id = graph_runtime.get_device_ctx(libmod, ctx)
if num_rpc_ctx == len(ctx):
libmod = rpc_base._ModuleHandle(libmod)
try:
fcreate = ctx[0]._rpc_sess.get_function("tvm.graph_runtime_debug.remote_create")
except ValueError:
raise ValueError("Please set '(USE_GRAPH_RUNTIME_DEBUG ON)' in " \
"config.cmake and rebuild TVM to enable debug mode")
func_obj = fcreate(graph_json_str, libmod, *device_type_id)
return GraphModuleDebug(func_obj, ctx, graph_json_str, dump_root)
def create(graph_json_str, libmod, ctx):
"""Create a runtime executor module given a graph and module.
Parameters
----------
graph_json_str : str
The graph to be deployed in json format output by json graph.
The graph can contain operator(tvm_op) that points to the name
of PackedFunc in the libmod.
libmod : tvm.runtime.Module
The module of the corresponding function
ctx : TVMContext
The context to deploy the module, only supports CUDA GPU
Returns
-------
graph_module : GraphModuleCudaGraph
CUDA graph runtime module that can be used to execute the graph.
Note
----
See also :py:class:`tvm.contrib.cuda_graph.cuda_graph_runtime.GraphModuleCudaGraph`
for examples to directly construct a GraphModuleCudaGraph from an exported
relay compiled library.
"""
assert isinstance(graph_json_str, string_types)
try:
ctx, num_rpc_ctx, device_type_id = graph_runtime.get_device_ctx(
libmod, ctx)
if num_rpc_ctx == len(ctx):
fcreate = ctx[0]._rpc_sess.get_function(
"tvm.graph_runtime_cuda_graph.create")
else:
fcreate = tvm._ffi.get_global_func(
"tvm.graph_runtime_cuda_graph.create")
except ValueError:
raise ValueError(
"To enable CUDA graph support (experimental), please set "
"'(USE_GRAPH_RUNTIME_CUGRAPH ON)' in config.cmake and rebuild TVM")
return GraphModuleCudaGraph(
fcreate(graph_json_str, libmod, *device_type_id))
