melsonlai commented on a change in pull request #8076: URL: https://github.com/apache/tvm/pull/8076#discussion_r655974487
########## File path: python/tvm/contrib/target/android_nnapi/relayir_to_nnapi_converter/export_object.py ########## @@ -0,0 +1,304 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you 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. +"""ExportObject, a dict-like structure providing infrastructure for +Android NNAPI codegen +""" +import struct +import copy +from .error import assert_anc_compatibility +from ._export_object import Helper as _Helper + + +class ExportObject: + """A dict-like structure providing infrastructure for Android NNAPI codegen + + Parameters + ---------------------- + options: dict + The converter option dict + + """ + + _SCALAR_RELAY_NNAPI_TYPE_MAP = { + "bool": "BOOL", + "float16": "FLOAT16", + "float32": "FLOAT32", + "int32": "INT32", + "uint32": "UINT32", + } + + _TENSOR_RELAY_NNAPI_TYPE_MAP = { + "bool": "TENSOR_BOOL", + "float16": "TENSOR_FLOAT16", + "float32": "TENSOR_FLOAT32", + "int32": "TENSOR_INT32", + "uint32": "TENSOR_UINT32", + } + + def __init__(self, options): + self.helper = _Helper(self) + self._json = { + "constants": [], + "inputs": [], + "memories": [], + "operands": [], + "operations": [], + "outputs": [], + "types": [], + } + self._options = options + + def __getitem__(self, key): + return self._json[key] + + def __setitem__(self, key, value): + self._json[key] = value + + def asjson(self): + """Return the content of ExportObject as a primitive Python dict + + Returns + ------- + json: dict + The content of ExportObject as a primitive Python dict + + """ + return copy.deepcopy(self._json) + + def get_type_idx(self, tipe): + """Register and lookup type index in export_obj["types"] + + Parameters + ---------- + tipe: ((int, ...), str) + type (shape, dtype) to look up + + Returns + ------- + index: int + type index in export object + """ + tipe = (tuple(map(int, tipe[0])), str(tipe[1])) # canonicalize + shape, dtype = tipe + assert_anc_compatibility( + dtype in ["bool", "float16", "float32", "int32", "uint32"], + "Unsupported data type { dtype }", + ) + + if self.helper.type_to_idx_map.get(tipe, None) is None: # create new type + shape, dtype = tipe + + if dtype == "bool": + assert_anc_compatibility( + self._options["target"]["api_level"] >= 29, + f"Boolean is not supported for Android API{ self._options['target']['api_level'] }", # pylint: disable=line-too-long + ) + + new_type = {} + if len(shape) == 0: + new_type["type"] = self._SCALAR_RELAY_NNAPI_TYPE_MAP[dtype] + else: + new_type["shape"] = list(shape) + new_type["type"] = self._TENSOR_RELAY_NNAPI_TYPE_MAP[dtype] + + self["types"].append(new_type) + self.helper.type_to_idx_map[tipe] = len(self["types"]) - 1 + return self.helper.type_to_idx_map[tipe] + + @staticmethod + def _canonicalize_scalar_constant(dtype, val): + # skip canonicalizing strings as they may carry specific meanings, + # e.g. macro-defined values + if not isinstance(val, str): + if dtype == "float16": + if isinstance(val, float): + val = hex( + struct.unpack("H", struct.pack("e", val))[0] + ) # for float16 we use uint16_t in C, hence the conversion + elif dtype == "float32": + val = float(val) + elif dtype == "int32": + val = int(val) + elif dtype == "uint32": + val = int(val) + elif dtype == "bool": + val = bool(val) + else: + assert False, "Unreachable" + return val + + def add_scalar_constant(self, val, dtype): + """Add scalar constant to export object + + Parameters + ---------- + val: numerical or str + value of the constant. Can be defined constant in the NNAPI framework. + + dtype: str + data type of the constant + + Returns + ------- + index: int + index of the constant in export object constants array + """ + # canonicalize + dtype = str(dtype) + assert_anc_compatibility( + dtype in ["float16", "float32", "int32", "uint32", "bool"], + f"Unsupported data type { dtype }", + ) + val = self._canonicalize_scalar_constant(dtype, val) + + new_const = { + "type": "scalar", + "dtype": dtype, + "value": val, + } + if new_const in self["constants"]: + return self["constants"].index(new_const) + + self["constants"].append(new_const) + return len(self["constants"]) - 1 + + def add_array_constant(self, vals, dtype): + """Add array constant to export object + + Parameters + ---------- + vals: array of values in dtype + values of array + + dtype: string + data type of array + + Returns + ------- + index: int + index of added constant in export_obj["constants"] + """ + # canonicalize + dtype = str(dtype) + assert_anc_compatibility( + dtype in ["float16", "float32", "int32", "uint32", "bool"], + f"Unsupported data type { dtype }", + ) + assert len(vals) > 0, "Array constant should not be empty" + vals = list(map(lambda v: self._canonicalize_scalar_constant(dtype, v), vals)) + + new_const = { + "type": "array", + "dtype": dtype, + "value": vals, + } + if new_const in self["constants"]: Review comment: `self["constants"]` is a list, so I think it's fine? (`new_const` is not used as key) ########## File path: python/tvm/contrib/target/android_nnapi/relayir_to_nnapi_converter/_export_object/helper.py ########## @@ -0,0 +1,28 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you 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. +"""Namespace for helper objects/methods that's not part of the JSON +content. This includes the symbol table, checking methods, ... +""" +from .operand import Operand as _Operand + + +class Helper: Review comment: Perhaps I can name it "analysis"? This namespace (for now) includes read-and-compute methods that help checking for some properties during codegen. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
