def op_generate(opdef):
check_error(opdef.status)
func_name = _create_func_name(opdef.name)
inputs = opdef.inputs
outputs = opdef.outputs
attrs = opdef.attrs
derivate_attrs = set()
default_attrs = set()
for i in inputs:
if i.type.repeated == pybind.OpDefineItem.RepeatType.no_repeat:
if i.type.type.attr != "":
derivate_attrs.add(i.type.type.attr)
elif i.type.repeated == pybind.OpDefineItem.RepeatType.type_and_size:
if i.type.type.attr != "":
derivate_attrs.add(i.type.type.attr)
if i.type.size.attr != "":
derivate_attrs.add(i.type.size.attr)
elif i.type.repeated == pybind.OpDefineItem.RepeatType.type_list:
derivate_attrs.add(i.type.type_list)
for i in attrs:
if i.default_value.attr_type != pybind.AttrValue.Type.none:
default_attrs.add(i.name)
func_input = []
func_output = []
for i in inputs:
func_input.append(i.name)
for i in attrs:
if i.name not in derivate_attrs:
if i.name not in default_attrs:
func_input.append(i.name)
for i in attrs:
if i.name in derivate_attrs or i.name in default_attrs:
func_input.append(i.name + " = None")
for i in outputs:
func_output.append(i.name)
builder = PyBuilder()
# def
if len(func_input) == 0:
def_fmt = "def {0}({1}name_ = None):"
else:
def_fmt = "def {0}({1}, name_ = None):"
with builder.indent_stmt(def_fmt, func_name, ', '.join(func_input)):
with builder.indent_stmt("try:"):
# convert to tensor
for i in inputs:
if i.type.repeated == pybind.OpDefineItem.RepeatType.no_repeat:
builder.append_stmt("{0} = convert_to_tensor({0})", i.name)
elif i.type.repeated == pybind.OpDefineItem.RepeatType.type_and_size:
builder.append_stmt("{0} = [convert_to_tensor(i) for i in {0}]", i.name)
elif i.type.repeated == pybind.OpDefineItem.RepeatType.type_list:
builder.append_stmt("{0} = [convert_to_tensor(i) for i in {0}]", i.name)
builder.append_stmt("")
# derivate_attrs
for i in inputs:
if i.type.repeated == pybind.OpDefineItem.RepeatType.no_repeat:
if i.type.type.attr != "":
_generate_check_set_attr(builder, i.type.type.attr, i.name + ".dtype")
builder.append_stmt("")
elif i.type.repeated == pybind.OpDefineItem.RepeatType.type_and_size:
if i.type.type.attr != "":
with builder.indent_stmt("for i in {0}:", i.name):
_generate_check_set_attr(builder, i.type.type.attr, "i.dtype")
builder.append_stmt("")
if i.type.size.attr != "":
_generate_check_set_attr(builder, i.type.size.attr, "len({0})".format(i.name))
builder.append_stmt("")
elif i.type.repeated == pybind.OpDefineItem.RepeatType.type_list:
with builder.indent_stmt("if {0} is None:", i.type.type_list):
builder.append_stmt("{0} = []", i.type.type_list)
with builder.indent_stmt("for i in {0}:", i.name):
builder.append_stmt("{0}.append(i.dtype)", i.type.type_list)
builder.append_stmt("")
# append default attr
for i in attrs:
if i.default_value.attr_type == pybind.AttrValue.Type.none:
continue
elif i.default_value.attr_type == pybind.AttrValue.Type.string:
_generate_default_attr(builder, i.name, repr(i.default_value.s))
elif i.default_value.attr_type == pybind.AttrValue.Type.int:
_generate_default_attr(builder, i.name, repr(i.default_value.i))
elif i.default_value.attr_type == pybind.AttrValue.Type.float:
_generate_default_attr(builder, i.name, repr(i.default_value.f))
elif i.default_value.attr_type == pybind.AttrValue.Type.bool:
_generate_default_attr(builder, i.name, repr(i.default_value.b))
elif i.default_value.attr_type == pybind.AttrValue.Type.shape:
_generate_default_attr(builder, i.name, repr(TensorShape(i.default_value.shape)))
elif i.default_value.attr_type == pybind.AttrValue.Type.type:
_generate_default_attr(builder, i.name, repr(DataType(i.default_value.type)))
else:
_generate_default_attr(builder, i.name, repr(i.default_value.type_list))
builder.append_stmt("")
# check attr
for i in attrs:
if i.type == pybind.AttrValue.Type.none:
raise ValueError("Attr Type should not be none")
elif i.type == pybind.AttrValue.Type.string:
_generate_check_attr(builder, i.name, "(str, unicode, bytes)")
elif i.type == pybind.AttrValue.Type.int:
_generate_check_attr(builder, i.name, "(int, long)")
elif i.type == pybind.AttrValue.Type.float:
_generate_check_attr(builder, i.name, "(float)")
elif i.type == pybind.AttrValue.Type.bool:
_generate_check_attr(builder, i.name, "(bool)")
elif i.type == pybind.AttrValue.Type.shape:
_generate_check_attr(builder, i.name, "(TensorShape, list, tuple)")
elif i.type == pybind.AttrValue.Type.type:
_generate_check_attr(builder, i.name, "(DataType)")
elif i.type == pybind.AttrValue.Type.type_list:
_generate_check_attr(builder, i.name, "(list, tuple)")
else:
raise NotImplementedError
builder.append_stmt("")
# check input dtype
for i in inputs:
if i.type.type.attr != "":
dtype = i.type.type.attr
else:
dtype = repr(DataType(i.type.type.raw))
if i.type.size.attr != "":
dsize = i.type.size.attr
else:
dsize = repr(i.type.size.raw)
if i.type.repeated == pybind.OpDefineItem.RepeatType.no_repeat:
with builder.indent_stmt("if {0}.dtype != {1}:", i.name, dtype):
builder.append_stmt("raise ValueError('Check Input {0} type should be' + repr({1}) + ' but is ' + repr({0}.dtype))", i.name, dtype)
elif i.type.repeated == pybind.OpDefineItem.RepeatType.type_and_size:
with builder.indent_stmt("if len({0}) != {1}:", i.name, dsize):
builder.append_stmt("raise ValueError('Check Input {0} size should be ' + repr({1}) + ' but is ' + repr(len({0})))", i.name, dsize)
with builder.indent_stmt("for i in range({0}):", dsize):
with builder.indent_stmt("if {0}[i].dtype != {1}:", i.name, dtype):
builder.append_stmt("raise ValueError('Check Input {0} type should be ' + repr({1}) + ' but is ' + repr({0}[i].dtype))", i.name, dtype)
elif i.type.repeated == pybind.OpDefineItem.RepeatType.type_list:
with builder.indent_stmt("if len({0}) != len({1}):", i.name, i.type.type_list):
builder.append_stmt("raise ValueError('Check Input {0} size should be ' + repr(len({1})) + ' but is ' + repr(len({0})))", i.name, i.type.type_list)
with builder.indent_stmt("for i in range(len({0})):", i.name):
with builder.indent_stmt("if {0}[i].dtype != {1}[i]:", i.name, i.type.type_list):
builder.append_stmt("raise ValueError('Check Input {0}[' + repr(i) + '] type should be ' + repr({1}[i]) + ' but is ' + repr({0}[i].dtype))", i.name, i.type.type_list)
else:
raise NotImplementedError
builder.append_stmt("")
# prepare CreateOp
builder.append_stmt("__input = [{0}]", ", ".join([i.name for i in inputs]))
builder.append_stmt("__args = {0}{2}{1}", "{", "}", ", ".join(["'{0}' : {0}".format(i.name) for i in attrs]))
output_spec = []
for i in outputs:
if i.type.type.attr != "":
dtype = i.type.type.attr
else:
dtype = repr(DataType(i.type.type.raw))
if i.type.size.attr != "":
dsize = i.type.size.attr
else:
dsize = repr(i.type.size.raw)
if i.type.repeated == pybind.OpDefineItem.RepeatType.no_repeat:
output_spec.append("{0}".format(dtype))
elif i.type.repeated == pybind.OpDefineItem.RepeatType.type_and_size:
output_spec.append("[{0}] * {1}".format(dtype, dsize))
elif i.type.repeated == pybind.OpDefineItem.RepeatType.type_list:
output_spec.append(i.type.type_list)
builder.append_stmt("__output_spec = [{0}]", ", ".join(output_spec))
builder.append_stmt("")
builder.append_stmt("__op = create_op(_op_def['{0}'], name_, __input, __args, __output_spec)", opdef.name)
builder.append_stmt("")
if len(outputs) == 0:
builder.append_stmt("return __op.depend()")
elif len(outputs) == 1:
builder.append_stmt("return __op.outputs[0]")
else:
builder.append_stmt("return __op.outputs")
with builder.indent_stmt("except Exception as e:"):
builder.append_stmt("print")
builder.append_stmt("print _func_code['{0}']", opdef.name)
builder.append_stmt("raise")
builder.append_stmt("result_func = {0}", func_name)
exec(builder.get_stmts())
_func_code[opdef.name] = builder.get_numbered_stmts()
_op_def[opdef.name] = opdef
result_func.code_text = _func_code[opdef.name]
return func_name, result_func
def execute_loop_wait():
check_error(pybind.execute_loop_wait())
def init(self):
check_error(self.service.init())
def execute(self, outputs, run_option=None, run_statistic=None):
if run_option and run_option.perf:
if run_statistic is None:
raise 'run_statistic must be specified when perf is turned on'
output_define = []
def recursive_feed_output(x, k):
if isinstance(x, Tensor):
x = x.define
if isinstance(x, (str, unicode)):
output_define.append(x)
if x[0] == '^':
return None, k
else:
return k, k + 1
elif isinstance(x, (list, tuple, set)):
rst = []
for i in x:
y, k = recursive_feed_output(i, k)
rst += [y]
return x.__class__(rst), k
elif isinstance(x, dict):
rst = {}
for i in x:
y, k = recursive_feed_output(x[i], k)
rst[i] = y
return rst, k
else:
raise ValueError("cannot execute type {}".format(x))
output_spec, _ = recursive_feed_output(outputs, 0)
xdl_output_spec = pybind.OutputSpec()
xdl_output_spec.output = pybind.StringVector(output_define)
xdl_output_spec.output_device = Graph.default_device()
run_option = run_option if run_option is not None else pybind.RunOption(
)
result = pybind.execute(self._graph_def, xdl_output_spec, run_option)
check_error(result.status)
outputs = result.outputs
if run_option and run_option.perf:
run_statistic.perf_result = result.run_statistic.perf_result
def recursive_build_result(x):
if x is None:
return None
if isinstance(x, (int, long)):
return numpy.array(outputs[x], copy=False)
elif isinstance(x, (list, tuple, set)):
rst = []
for i in x:
y = recursive_build_result(i)
rst += [y]
return x.__class__(rst)
elif isinstance(x, dict):
rst = {}
for i in x:
y = recursive_build_result(x[i])
rst[i] = y
return rst
else:
raise ValueError("Internal Error")
return recursive_build_result(output_spec)
