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codegen_utils.py
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codegen_utils.py
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import yaml
import re
import argparse
import os
########################
### Global Variables ###
########################
ops_to_fill_zero_for_empty_grads = set([
"split_grad", "rnn_grad", "matmul_double_grad", "matmul_triple_grad",
"sigmoid_double_grad", "sigmoid_triple_grad", "add_double_grad",
"add_triple_grad", "multiply_double_grad", "multiply_triple_grad",
"conv2d_grad_grad", "batch_norm_double_grad", "tanh_double_grad",
"tanh_triple_grad", "subtract_double_grad", "divide_double_grad",
"log_double_grad", "elu_double_grad", "leaky_relu_double_grad"
])
# For API dispatch used at python-level
# { op_name : [arg_name, ...] }
core_ops_returns_info = {}
core_ops_args_info = {}
core_ops_args_type_info = {}
yaml_types_mapping = {
'int' : 'int', 'int32_t' : 'int32_t', 'int64_t' : 'int64_t', 'size_t' : 'size_t', \
'float' : 'float', 'double' : 'double', 'bool' : 'bool', \
'str' : 'std::string', \
'Place' : 'paddle::Place', 'DataLayout' : 'paddle::experimental::DataLayout', 'DataType' : 'paddle::experimental::DataType', \
'int64_t[]' : 'std::vector<int64_t>', 'int[]' : 'std::vector<int>',
'Tensor' : 'Tensor',
'Tensor[]' : 'std::vector<Tensor>',
'Tensor[Tensor[]]' : 'std::vector<std::vector<Tensor>>',
'Scalar' : 'paddle::experimental::Scalar',
'Scalar(int)' : 'paddle::experimental::Scalar',
'Scalar(int64_t)' : 'paddle::experimental::Scalar',
'Scalar(float)' : 'paddle::experimental::Scalar',
'Scalar(double)' : 'paddle::experimental::Scalar',
'IntArray' : 'paddle::experimental::IntArray'
}
#############################
### File Reader Helpers ###
#############################
def AssertMessage(lhs_str, rhs_str):
return f"lhs: {lhs_str}, rhs: {rhs_str}"
def ReadFwdFile(filepath):
f = open(filepath, 'r')
contents = yaml.load(f, Loader=yaml.FullLoader)
f.close()
return contents
def ReadBwdFile(filepath):
f = open(filepath, 'r')
contents = yaml.load(f, Loader=yaml.FullLoader)
ret = {}
for content in contents:
assert 'backward_api' in content.keys(), AssertMessage('backward_api',
content.keys())
if 'backward_api' in content.keys():
api_name = content['backward_api']
ret[api_name] = content
f.close()
return ret
##################################
### Generic Helper Functions ###
##################################
def FindGradName(string):
return string + "_grad"
def FindForwardName(string):
if not string.endswith("_grad"):
return None
return string[:-5]
def IsGradName(string):
return string.endswith("_grad")
def IsPlainTensorType(string):
plain_tensor_types = ['Tensor&', 'Tensor', 'const Tensor&', 'const Tensor']
if string in plain_tensor_types:
return True
return False
def IsVectorTensorType(string):
vector_tensor_types = [
'std::vector<std::vector<Tensor>>', 'std::vector<Tensor>'
]
if string in vector_tensor_types:
return True
return False
def GetSavedName(string):
return string + "_"
def GetConstReference(string):
ret = string
if not string.startswith("const "):
ret = "const " + string
if not string.endswith("&"):
ret += "&"
return ret
def RemoveConstAndReference(string):
ret = string
if string.startswith("const "):
ret = ret[6:]
if string.endswith("&"):
ret = ret[:-1]
return ret
def GetGradNodeName(string):
return f"GradNode{string}Final"
def GetDygraphForwardFunctionName(string):
return f"{string}_final_state_dygraph_function"
def GetIntermediateAPIFunctionName(string):
return string + "_intermediate"
def GetAutoGradMetaName(string):
return f"{string}_autograd_meta"
def GetAutoGradMetaVectorName(string):
return f"{string}_autograd_meta_vec"
def RemoveSpecialSymbolsInName(string):
# Remove any name after '@'
ret = string.split("@")[0]
return ret
def RecoverBaseNameOfInplaceFunction(function_name):
return function_name[:-1]
def GetInplacedFunctionName(function_name):
return function_name + "_"
def GetForwardFunctionName(string):
return f"{string}_final_state_dygraph_function"
def GetIndent(num):
tab = " "
return "".join([tab for i in range(num)])
######################
### Yaml Parsers ###
######################
def ParseYamlArgs(string):
# Example: const Tensor& x, const Tensor& y, bool transpose_x, bool transpose_y
# inputs_list = [ [arg_name, arg_type, orig_position], ...]
inputs_list = []
# attrs_list = [ [arg_name, arg_type, default_value, orig_position], ...]
attrs_list = []
args = [x.strip() for x in string.strip().split(",")]
atype = r'((const )?\S+) '
aname = r'(.*)'
pattern = f'{atype}{aname}'
for i in range(len(args)):
arg = args[i]
m = re.search(pattern, arg)
arg_type = m.group(1).strip()
arg_name = m.group(3).split("=")[0].strip()
default_value = m.group(3).split("=")[1].strip() if len(
m.group(3).split("=")) > 1 else None
assert arg_type in yaml_types_mapping.keys(
), f"The argument type {arg_type} in yaml config is not supported in yaml_types_mapping."
arg_type = yaml_types_mapping[arg_type]
arg_name = RemoveSpecialSymbolsInName(arg_name)
if "Tensor" in arg_type:
assert default_value is None
inputs_list.append([arg_name, arg_type, i])
else:
attrs_list.append([arg_name, arg_type, default_value, i])
return inputs_list, attrs_list
def ParseYamlReturns(string):
# Example0: Tensor(out), Tensor(out1)
# Example1: Tensor, Tensor
# Example2: Tensor[](out), Tensor
# list = [ [ret_name, ret_type, orig_position], ...]
returns_list = []
returns = [x.strip() for x in string.strip().split(",")]
for i in range(len(returns)):
ret = returns[i].split("{")[0].strip()
ret_name = ""
if "(" in ret and ")" in ret:
# Remove trailing ')'
ret = ret[:-1]
ret_type = ret.split("(")[0].strip()
ret_name = ret.split("(")[1].strip()
else:
ret_type = ret.strip()
assert ret_type in yaml_types_mapping.keys(
), f"The return type {ret_type} in yaml config is not supported in yaml_types_mapping."
ret_type = yaml_types_mapping[ret_type]
assert "Tensor" in ret_type, AssertMessage("Tensor", ret_type)
ret_name = RemoveSpecialSymbolsInName(ret_name)
returns_list.append([ret_name, ret_type, i])
return returns_list
def ParseYamlForwardFromBackward(string):
# Example: matmul (const Tensor& x, const Tensor& y, bool transpose_x, bool transpose_y) -> Tensor(out)
fname = r'(.*?)'
wspace = r'\s*'
fargs = r'(.*?)'
frets = r'(.*)'
pattern = f'{fname}{wspace}\({wspace}{fargs}{wspace}\){wspace}->{wspace}{frets}'
m = re.search(pattern, string)
function_name = m.group(1)
function_args = m.group(2)
function_returns = m.group(3)
forward_inputs_list, forward_attrs_list = ParseYamlArgs(function_args)
forward_returns_list = ParseYamlReturns(function_returns)
return forward_inputs_list, forward_attrs_list, forward_returns_list
def ParseYamlForward(args_str, returns_str):
# args Example: (const Tensor& x, const Tensor& y, bool transpose_x = false, bool transpose_y = false)
# returns Example: Tensor, Tensor
fargs = r'(.*?)'
wspace = r'\s*'
args_pattern = f'^\({fargs}\)$'
args_str = re.search(args_pattern, args_str.strip()).group(1)
inputs_list, attrs_list = ParseYamlArgs(args_str)
returns_list = ParseYamlReturns(returns_str)
return inputs_list, attrs_list, returns_list
def ParseYamlBackward(args_str, returns_str):
# args Example: (const Tensor& x, const Tensor& y, const Tensor& out_grad, bool transpose_x=false, bool transpose_y=false)
# returns Example: Tensor(x_grad), Tensor(y_grad)
fargs = r'(.*?)'
wspace = r'\s*'
args_pattern = f'\({fargs}\)'
args_str = re.search(args_pattern, args_str).group(1)
inputs_list, attrs_list = ParseYamlArgs(args_str)
returns_list = ParseYamlReturns(returns_str)
return inputs_list, attrs_list, returns_list
########################
### Generator Base ###
########################
class FunctionGeneratorBase:
def __init__(self, forward_api_contents, namespace):
self.forward_api_contents = forward_api_contents
self.namespace = namespace
self.forward_api_name = ""
self.orig_forward_inputs_list = [
] #[ [arg_name, arg_type, orig_position], ...]
self.orig_forward_attrs_list = [
] #[ [attr_name, attr_type, default_value, orig_position], ...]
self.orig_forward_returns_list = [
] #[ [ret_name, ret_type, orig_position], ...]
# Processed Forward Data
self.forward_inputs_position_map = {
} #{ "name" : [type, fwd_position] }
self.forward_outputs_position_map = {
} #{ "name" : [type, fwd_position] }
# Special Op Attributes
self.optional_inputs = [] #[name, ...]
self.no_need_buffers = [] #[name, ...]
self.intermediate_outputs = [] #[name, ...]
self.inplace_map = {} #{name : name, ...}
def ParseInplaceInfo(self):
forward_api_contents = self.forward_api_contents
if 'inplace' not in forward_api_contents.keys(): return
# inplace_map_str: "(x -> out0), (y -> out2)"
inplace_map_str = forward_api_contents['inplace']
for pair in inplace_map_str.split(","):
pair = pair.strip()
if pair.startswith("("):
pair = pair[1:]
if pair.endswith(")"):
pair = pair[:-1]
key = pair.split("->")[0].strip()
val = pair.split("->")[1].strip()
self.inplace_map[key] = val
def ParseNoNeedBuffer(self):
grad_api_contents = self.grad_api_contents
if 'no_need_buffer' in grad_api_contents.keys():
no_need_buffer_str = grad_api_contents['no_need_buffer']
for name in no_need_buffer_str.split(","):
name = name.strip()
name = RemoveSpecialSymbolsInName(name)
self.no_need_buffers.append(name.strip())
def ParseDispensable(self):
forward_api_contents = self.forward_api_contents
if 'optional' in forward_api_contents.keys():
optional_inputs_str = forward_api_contents['optional']
for name in optional_inputs_str.split(","):
name = name.strip()
name = RemoveSpecialSymbolsInName(name)
self.optional_inputs.append(name)
def ParseIntermediate(self):
forward_api_contents = self.forward_api_contents
if 'intermediate' in forward_api_contents.keys():
intermediate_str = forward_api_contents['intermediate']
for name in intermediate_str.split(","):
name = name.strip()
name = RemoveSpecialSymbolsInName(name)
self.intermediate_outputs.append(name)
def CollectOriginalForwardInfo(self):
forward_api_contents = self.forward_api_contents
self.forward_api_name = forward_api_contents['api']
forward_args_str = forward_api_contents['args']
forward_returns_str = forward_api_contents['output']
assert 'api' in forward_api_contents.keys(
), "Unable to find \"api\" in forward_api_contents keys"
assert 'args' in forward_api_contents.keys(
), "Unable to find \"args\" in forward_api_contents keys"
assert 'output' in forward_api_contents.keys(
), "Unable to find \"output\" in forward_api_contents keys"
# Collect Original Forward Inputs/Outputs and then perform validation checks
self.orig_forward_inputs_list, self.orig_forward_attrs_list, self.orig_forward_returns_list = ParseYamlForward(
forward_args_str, forward_returns_str)
def DetermineForwardPositionMap(self, forward_inputs_list,
forward_returns_list):
for i in range(len(forward_inputs_list)):
forward_input = forward_inputs_list[i]
input_name = forward_input[0]
input_type = forward_input[1]
input_pos = forward_input[2]
self.forward_inputs_position_map[
input_name] = [input_type, input_pos]
for i in range(len(forward_returns_list)):
forward_return = forward_returns_list[i]
return_name = forward_return[0]
return_type = forward_return[1]
return_pos = forward_return[2]
self.forward_outputs_position_map[
return_name] = [return_type, return_pos]
class YamlGeneratorBase:
def __init__(self, api_yaml_path):
self.namespace = ""
self.api_yaml_path = api_yaml_path
self.forward_api_list = []
def ParseForwardYamlContents(self):
api_yaml_path = self.api_yaml_path
self.forward_api_list = ReadFwdFile(api_yaml_path)
def InferNameSpace(self):
api_yaml_path = self.api_yaml_path
if "sparse" in api_yaml_path:
self.namespace = "sparse::"
elif "strings" in api_yaml_path:
self.namespace = "strings::"