def c2_native_run_op(op_def, inputs):
ws = Workspace()
if isinstance(inputs, dict):
for key, value in inputs.items():
ws.FeedBlob(key, value, op_def.device_option)
else:
assert (len(op_def.input) == len(inputs))
for key, value in zip(op_def.input, inputs):
ws.FeedBlob(key, value, op_def.device_option)
ws.RunOperatorOnce(op_def)
output_names = op_def.output
output_values = [ws.FetchBlob(name) for name in output_names]
return ws, namedtupledict('Outputs', output_names)(*output_values)
def op_func(*inputs, **args):
ws = Workspace()
schema = OpSchema.get(op_type)
input_prefix = 'input_'
output_prefix = 'output_'
def get_name_list(prefix, num, max_num):
return [prefix + str(x) for x in range(min(num, max_num))]
input_names, output_names = [], []
input_names = get_name_list(
input_prefix, len(inputs), schema.max_input
)
# verify the length of input name is in range
# of schema
num_input = len(input_names)
if num_input > schema.max_input or num_input < \
schema.min_input or not schema.num_inputs_allowed(num_input):
raise ValueError(
"Functional C2: Number of inputs not in \
range: {} - {} or not allowed."
.format(schema.min_input, schema.max_input)
)
if 'num_output' in args:
num_output = args['num_output']
if num_output > schema.max_output or \
num_output < schema.min_output or \
not schema.num_outputs_allowed(num_output) or \
not schema.num_inputs_outputs_allowed(num_input,
num_output):
raise ValueError(
"Functional C2: Number of output \
not in range: {} - {} or not allowed"
.format(schema.min_output, schema.max_output)
)
output_names = get_name_list(
output_prefix, num_output, schema.max_output
)
args.pop('num_output')
calculated = schema.CalculateOutput(num_input)
if not output_names and calculated != -1:
output_names = get_name_list(
output_prefix, calculated, schema.max_output
)
if not output_names:
max_output = schema.max_output
# For an op with max_output == inf
# and no Output defined in schema
# user should pass output_size explicitly
if schema.inf == max_output:
raise ValueError(
"For operators with max_output == inf,\
user should pass num_output explicity."
)
output_names = get_name_list(
output_prefix, max_output, max_output
)
op = core.CreateOperator(
op_type, input_names, output_names, **args
)
device_option = args.get('device_option', core.DeviceOption(caffe2_pb2.CPU))
with core.DeviceScope(device_option):
for i, input_blob in enumerate(inputs):
ws.FeedBlob(input_names[i], input_blob)
# RunOperator
ws.RunOperatorOnce(op)
output_values = [ws.FetchBlob(x) for x in output_names]
return namedtupledict('output', output_names)(*output_values)
