Add python package support
Move tosa_serializer into its own namespace
Fix up for pre-commit black/flake8
Remove import dependency on reference model
Signed-off-by: Jeremy Johnson <jeremy.johnson@arm.com>
Change-Id: I8693fb7c00d224142a66dcb19eac74ac77c6224b
diff --git a/python/serializer/tosa_serializer.py b/python/serializer/tosa_serializer.py
new file mode 100644
index 0000000..b29f963
--- /dev/null
+++ b/python/serializer/tosa_serializer.py
@@ -0,0 +1,802 @@
+# Copyright (c) 2020-2022, ARM Limited.
+#
+# 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 os
+import json
+import flatbuffers
+import numpy as np
+import struct
+from enum import IntEnum, unique
+from tosa import (
+ TosaGraph,
+ TosaBasicBlock,
+ TosaTensor,
+ TosaOperator,
+ Version,
+)
+import tosa.DType as TosaDType
+import tosa.Op as TosaOp
+
+# Keep version number in sync with the version default value with schema/tosa.fbs
+TOSA_VERSION_MAJOR = 0
+TOSA_VERSION_MINOR = 24
+TOSA_VERSION_PATCH = 0
+TOSA_VERSION_DRAFT = True
+TOSA_VERSION = [
+ TOSA_VERSION_MAJOR,
+ TOSA_VERSION_MINOR,
+ TOSA_VERSION_PATCH,
+ TOSA_VERSION_DRAFT,
+]
+# With the way flatc generates its python types, there is no programatic way
+# to get string names for the integer types. Manually maintain a string table
+# here.
+DType = TosaDType.DType()
+DTypeNames = [
+ "UNKNOWN",
+ "BOOL",
+ "UINT8",
+ "INT4",
+ "INT8",
+ "INT16",
+ "INT32",
+ "INT48",
+ "FLOAT",
+]
+
+ByteMask = np.uint64(0xFF)
+
+
+def dtype_str_to_val(name):
+
+ for i in range(len(DTypeNames)):
+ if name.casefold() == DTypeNames[i].casefold():
+ return i
+ raise Exception("Unable to parse DType name {}".format(name))
+
+
+class TosaSerializerUnion:
+ """This class handles encapsulating and serializing union types into flatbuffers"""
+
+ def __init__(self):
+
+ # A tuple of the start and end functions.
+ # Set by the options constructors below
+ self.optFcns = None
+
+ # The type from the tosa.Options enumeration.
+ # Set by the options constructors below.
+ self.utype = None
+
+ # Each of these lists is a tuple of the add function and the
+ # value being added. Set by the options constructors below.
+ self.ints = []
+ self.bools = []
+ self.floats = []
+ self.strings = []
+ self.intvecs = []
+ self.fpvecs = []
+
+ def serialize(self, builder):
+
+ # We have to build strings and vectors first
+ strList = []
+ intVecList = []
+ fpVecList = []
+
+ for fcn, val in self.strings:
+ strList.append((fcn, builder.CreateString(val)))
+
+ for fcn, val in self.intvecs:
+ intVecList.append((fcn, TosaSerializer.serializeInt32Vec(builder, val)))
+
+ for fcn, val in self.fpvecs:
+ fpVecList.append((fcn, TosaSerializer.serializeFpVec(builder, val)))
+
+ startFcn, endFcn = self.optFcns
+
+ # Then serialize the options object from the list of primitives and
+ # other serialized values
+ startFcn(builder)
+ for fcn, val in self.ints:
+ fcn(builder, val)
+
+ for fcn, val in self.bools:
+ fcn(builder, val)
+
+ for fcn, val in self.floats:
+ fcn(builder, val)
+
+ for fcn, val in strList:
+ fcn(builder, val)
+
+ for fcn, val in intVecList:
+ fcn(builder, val)
+
+ for fcn, val in fpVecList:
+ fcn(builder, val)
+
+ return endFcn(builder)
+
+
+class TosaSerializerAttribute(TosaSerializerUnion):
+ """This class handles encapsulating all of the enumerated types for attributes"""
+
+ def __init__(self):
+ super().__init__()
+
+ def PoolAttribute(self, kernel, stride, padding):
+ from tosa import PoolAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().PoolAttribute
+
+ self.optFcns = (a.Start, a.End)
+ self.intvecs.append((a.AddPadding, padding))
+ self.intvecs.append((a.AddKernel, kernel))
+ self.intvecs.append((a.AddStride, stride))
+
+ def ConvAttribute(self, padding, stride, dilation):
+ from tosa import ConvAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().ConvAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.intvecs.append((a.AddPadding, padding))
+ self.intvecs.append((a.AddStride, stride))
+ self.intvecs.append((a.AddDilation, dilation))
+
+ def TransposeConvAttribute(self, outpad, stride, dilation, output_shape):
+ from tosa import TransposeConvAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().TransposeConvAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.intvecs.append((a.AddOutpad, outpad))
+ self.intvecs.append((a.AddStride, stride))
+ self.intvecs.append((a.AddDilation, dilation))
+ self.intvecs.append((a.AddOutputShape, output_shape))
+
+ def PadAttribute(self, padding, pad_const_int, pad_const_fp):
+ from tosa import PadAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().PadAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.intvecs.append((a.AddPadding, padding))
+ self.ints.append((a.AddPadConstInt, pad_const_int))
+ self.floats.append((a.AddPadConstFp, pad_const_fp))
+
+ def AxisAttribute(self, axis):
+ from tosa import AxisAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().AxisAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.ints.append((a.AddAxis, axis))
+
+ def ReshapeAttribute(self, shape):
+ from tosa import ReshapeAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().ReshapeAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.intvecs.append((a.AddShape, shape))
+
+ def SliceAttribute(self, begin, size):
+ from tosa import SliceAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().SliceAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.intvecs.append((a.AddBegin, begin))
+ self.intvecs.append((a.AddSize, size))
+
+ def TileAttribute(self, multiples):
+ from tosa import TileAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().TileAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.intvecs.append((a.AddMultiples, multiples))
+
+ def ResizeAttribute(
+ self, output_size, stride, offset, shift, stride_fp, offset_fp, mode
+ ):
+ from tosa import ResizeAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().ResizeAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.intvecs.append((a.AddOutputSize, output_size))
+ self.intvecs.append((a.AddStride, stride))
+ self.intvecs.append((a.AddOffset, offset))
+ self.ints.append((a.AddShift, shift))
+ self.fpvecs.append((a.AddStrideFp, stride_fp))
+ self.fpvecs.append((a.AddOffsetFp, offset_fp))
+ self.ints.append((a.AddMode, mode))
+
+ def ClampAttribute(self, minint, maxint, minfp, maxfp):
+ from tosa import ClampAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().ClampAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.ints.append((a.AddMinInt, minint))
+ self.ints.append((a.AddMaxInt, maxint))
+
+ self.ints.append((a.AddMinFp, minfp))
+ self.ints.append((a.AddMaxFp, maxfp))
+
+ def RescaleAttribute(
+ self, input_zp, output_zp, multiplier, shift, scale32, double_round, per_channel
+ ):
+ from tosa import RescaleAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().RescaleAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.ints.append((a.AddInputZp, input_zp))
+ self.ints.append((a.AddOutputZp, output_zp))
+ self.intvecs.append((a.AddMultiplier, multiplier))
+ self.intvecs.append((a.AddShift, shift))
+ self.bools.append((a.AddScale32, scale32))
+ self.bools.append((a.AddDoubleRound, double_round))
+ self.bools.append((a.AddPerChannel, per_channel))
+
+ def MulAttribute(self, shift):
+ from tosa import MulAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().MulAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.ints.append((a.AddShift, shift))
+
+ def ArithmeticRightShiftAttribute(self, round):
+ from tosa import ArithmeticRightShiftAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().ArithmeticRightShiftAttribute
+ self.optFcns = (
+ a.Start,
+ a.End,
+ )
+
+ self.bools.append((a.AddRound, round))
+
+ def CondIfAttribute(self, then_branch, else_branch):
+ from tosa import CondIfAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().CondIfAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.strings.append((a.AddThenBranch, then_branch))
+ self.strings.append((a.AddElseBranch, else_branch))
+
+ def WhileLoopAttribute(self, cond_branch, body_branch):
+ from tosa import WhileLoopAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().WhileLoopAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.strings.append((a.AddCondBranch, cond_branch))
+ self.strings.append((a.AddBodyBranch, body_branch))
+
+ def TransposeAttribute(self, perm):
+ from tosa import TransposeAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().TransposeAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.intvecs.append((a.AddPerm, perm))
+
+ def TableAttribute(self, table):
+ from tosa import TableAttribute as a, Attribute
+
+ self.utype = Attribute.Attribute().TableAttribute
+ self.optFcns = (a.Start, a.End)
+
+ self.intvecs.append((a.AddTable, table))
+
+
+class TosaSerializerQuantInfo(TosaSerializerUnion):
+ """This class handles encapsulating all of the enumerated types for quantinfo"""
+
+ def __init__(self):
+ super().__init__()
+
+ def ConvQuantInfo(self, input_zp, weight_zp):
+ from tosa import ConvQuantInfo as q, QuantInfo
+
+ self.utype = QuantInfo.QuantInfo().ConvQuantInfo
+ self.optFcns = (q.Start, q.End)
+ self.ints.append((q.AddInputZp, input_zp))
+ self.ints.append((q.AddWeightZp, weight_zp))
+
+ def UnaryQuantInfo(self, input_zp, output_zp):
+ from tosa import UnaryQuantInfo as q, QuantInfo
+
+ self.utype = QuantInfo.QuantInfo().UnaryQuantInfo
+ self.optFcns = (q.Start, q.End)
+ self.ints.append((q.AddInputZp, input_zp))
+ self.ints.append((q.AddOutputZp, output_zp))
+
+ def MatMulQuantInfo(self, a_zp, b_zp):
+ from tosa import MatMulQuantInfo as q, QuantInfo
+
+ self.utype = QuantInfo.QuantInfo().MatMulQuantInfo
+ self.optFcns = (q.Start, q.End)
+ self.ints.append((q.AddAZp, a_zp))
+ self.ints.append((q.AddBZp, b_zp))
+
+ def PadQuantInfo(self, input_zp):
+ from tosa import PadQuantInfo as q, QuantInfo
+
+ self.utype = QuantInfo.QuantInfo().PadQuantInfo
+ self.optFcns = (q.Start, q.End)
+ self.ints.append((q.AddInputZp, input_zp))
+
+
+class TosaSerializerTensor:
+ def __init__(
+ self,
+ name,
+ shape,
+ dtype,
+ data=None,
+ placeholderFilename=None,
+ ):
+ self.name = name
+
+ if isinstance(shape, np.ndarray):
+ shape = shape.astype(int).tolist()
+ shape = list(map(int, shape))
+
+ self.shape = shape
+ self.dtype = dtype
+
+ if isinstance(data, np.ndarray):
+ data = data.flatten().astype(int).tolist()
+ data = list(map(int, data))
+ self.data = data
+ elif isinstance(data, list):
+ data = list(map(int, data))
+ self.data = data
+ else:
+ self.data = None
+
+ # Filename for placeholder tensors. These get generated by the test generation
+ # process and are written to disk, but are considered input tensors by the
+ # network so they do not appear in the TOSA serialiazation. However, if we
+ # want to form a unit test around these input tensors, we can get the filename
+ # from here.
+ self.placeholderFilename = placeholderFilename
+
+ def __str__(self):
+ str = "TosaSerializerTensor name: {} shape: {} dtype: {}".format(
+ self.name,
+ self.shape,
+ DTypeNames[self.dtype],
+ )
+ return str
+
+ def setDtype(self, dtype):
+ self.dtype = dtype
+
+ def serialize(self, builder):
+ fb_name = builder.CreateString(self.name)
+ fb_shapes = TosaSerializer.serializeInt32Vec(builder, self.shape)
+ if self.data:
+ u8_data = list()
+ # little endianess
+ if self.dtype == DType.BOOL:
+ for val in self.data:
+ val_u8 = np.uint8(val)
+ u8_data.append(val_u8)
+ elif self.dtype == DType.INT4:
+ in_size = len(self.data)
+ out_size = (in_size + 1) // 2
+ for i in range(out_size):
+ val_0 = self.data[2 * i]
+ if (2 * i + 1) < in_size:
+ val_1 = self.data[2 * i + 1]
+ else:
+ val_1 = 0
+ val_i8 = (val_0 & 0xF) | ((val_1 & 0xF) << 4)
+ val_u8 = np.uint8(val_i8)
+ u8_data.append(val_u8)
+ elif self.dtype == DType.INT8:
+ for val in self.data:
+ val_u8 = np.uint8(val)
+ u8_data.append(val_u8)
+ elif self.dtype == DType.INT16:
+ for val in self.data:
+ val_u16 = np.uint16(val)
+ b0 = val_u16 & ByteMask
+ b1 = (val_u16 >> np.uint16(8)) & ByteMask
+ u8_data.extend([b0, b1])
+ elif self.dtype == DType.INT32:
+ for val in self.data:
+ val_u32 = np.uint32(val)
+ b0 = val_u32 & ByteMask
+ b1 = (val_u32 >> np.uint32(8)) & ByteMask
+ b2 = (val_u32 >> np.uint32(16)) & ByteMask
+ b3 = (val_u32 >> np.uint32(24)) & ByteMask
+ u8_data.extend([b0, b1, b2, b3])
+ elif self.dtype == DType.INT48:
+ for val in self.data:
+ val_u64 = np.uint64(val)
+ b0 = val_u64 & ByteMask
+ b1 = (val_u64 >> np.uint64(8)) & ByteMask
+ b2 = (val_u64 >> np.uint64(16)) & ByteMask
+ b3 = (val_u64 >> np.uint64(24)) & ByteMask
+ b4 = (val_u64 >> np.uint64(32)) & ByteMask
+ b5 = (val_u64 >> np.uint64(40)) & ByteMask
+ u8_data.extend([b0, b1, b2, b3, b4, b5])
+ elif self.dtype == DType.FLOAT:
+ for val in self.data:
+ b = struct.pack("!f", val)
+ u8_data.extend([b[3], b[2], b[1], b[0]])
+ else:
+ raise Exception(
+ "unsupported data type {}".format(DTypeNames[self.dtype])
+ )
+ fb_data = TosaSerializer.serializeUint8Vec(builder, u8_data)
+
+ TosaTensor.Start(builder)
+ TosaTensor.AddName(builder, fb_name)
+ TosaTensor.AddShape(builder, fb_shapes)
+ TosaTensor.AddType(builder, self.dtype)
+ if self.data:
+ TosaTensor.AddData(builder, fb_data)
+
+ return TosaTensor.End(builder)
+
+
+class TosaSerializerOperator:
+ def __init__(self, op, inputs, outputs, attributes=None, quantInfo=None):
+ self.op = op
+ self.attributes = attributes
+ self.inputs = TosaSerializer.toList(inputs)
+ self.outputs = TosaSerializer.toList(outputs)
+ self.quantInfo = quantInfo
+
+ def __str__(self):
+ str = "Op {}\n----\n".format(self.op)
+
+ for i in self.inputs:
+ str = str + " Input: {}\n".format(i)
+ for o in self.outputs:
+ str = str + " Output: {}\n".format(o)
+
+ return str
+
+ def serialize(self, builder):
+ fb_inputs = TosaSerializer.serializeStrVec(
+ builder, self.inputs, TosaOperator.StartInputsVector
+ )
+ fb_outputs = TosaSerializer.serializeStrVec(
+ builder, self.outputs, TosaOperator.StartOutputsVector
+ )
+ # Need to serialize quant_info and attributes enums still
+ if self.attributes is not None:
+ fb_attributes = self.attributes.serialize(builder)
+
+ if self.quantInfo is not None:
+ fb_qinfo = self.quantInfo.serialize(builder)
+
+ TosaOperator.Start(builder)
+ TosaOperator.AddOp(builder, self.op)
+ TosaOperator.AddInputs(builder, fb_inputs)
+ TosaOperator.AddOutputs(builder, fb_outputs)
+ if self.attributes is not None:
+ TosaOperator.AddAttributeType(builder, self.attributes.utype)
+ TosaOperator.AddAttribute(builder, fb_attributes)
+ if self.quantInfo is not None:
+ TosaOperator.AddQuantInfoType(builder, self.quantInfo.utype)
+ TosaOperator.AddQuantInfo(builder, fb_qinfo)
+
+ return TosaOperator.End(builder)
+
+
+class TosaSerializerBasicBlock:
+ def __init__(self, name):
+ self.name = name
+ self.operators = []
+
+ # Dict assures uniqueness, but allows us to look up by name
+ self.tensors = dict()
+
+ self.inputs = []
+ self.outputs = []
+
+ def addTensor(
+ self,
+ name,
+ shape,
+ dtype,
+ data=None,
+ placeholderFilename=None,
+ ):
+ if name not in self.tensors:
+ self.tensors[name] = TosaSerializerTensor(
+ name, shape, dtype, data, placeholderFilename
+ )
+
+ return self.tensors[name]
+
+ def addInput(self, name):
+ self.inputs.append(name)
+
+ def addOutput(self, name):
+ self.outputs.append(name)
+
+ def addOperator(self, op, inputs, outputs, attributes=None, quant_info=None):
+ self.operators.append(
+ TosaSerializerOperator(op, inputs, outputs, attributes, quant_info)
+ )
+
+ def serialize(self, builder):
+ fb_name = builder.CreateString(self.name)
+ fbv_inputs = TosaSerializer.serializeStrVec(
+ builder, list(self.inputs), TosaBasicBlock.StartInputsVector
+ )
+ fbv_outputs = TosaSerializer.serializeStrVec(
+ builder, list(self.outputs), TosaBasicBlock.StartOutputsVector
+ )
+ fbv_tensors = TosaSerializer.serializeObjVec(
+ builder,
+ list(self.tensors.values()),
+ TosaBasicBlock.StartTensorsVector,
+ )
+ fbv_operators = TosaSerializer.serializeObjVec(
+ builder, self.operators, TosaBasicBlock.StartOperatorsVector
+ )
+
+ TosaBasicBlock.Start(builder)
+ TosaBasicBlock.AddName(builder, fb_name)
+ TosaBasicBlock.AddInputs(builder, fbv_inputs)
+ TosaBasicBlock.AddOutputs(builder, fbv_outputs)
+ TosaBasicBlock.AddTensors(builder, fbv_tensors)
+ TosaBasicBlock.AddOperators(builder, fbv_operators)
+ return TosaBasicBlock.End(builder)
+
+
+@unique
+class TensorDir(IntEnum):
+ PLACEHOLDER = 0
+ CONST = 1
+ INTERMEDIATE = 2
+ RESULT = 3
+
+
+class TosaSerializer:
+ def __init__(self, pathPrefix):
+
+ # Get the global TOSA version if not already defined
+
+ self.builder = flatbuffers.Builder(0)
+
+ self.basicBlocks = []
+ self.startBasicBlock("main")
+ self.pathPrefix = pathPrefix
+
+ # Indicies used for adding/naming tensors
+ self.currInputIdx = 0
+ self.currConstIdx = 0
+ self.currLayerIdx = 1
+ self.currResultIdx = 0
+
+ # Is this an illegal test that is expected to fail?
+ self.expectedReturnCode = 0
+ self.expectedFailure = False
+ self.expectedFailureDesc = ""
+
+ def __str__(self):
+ str = ""
+ for bb in self.basicBlocks:
+ str = str + bb.__str__()
+ return str
+
+ def addPlaceholder(self, shape, dtype, vals):
+ if not self.currBasicBlock:
+ raise Exception("addTensor called without valid basic block")
+
+ name = "input-{}".format(self.currInputIdx)
+ filename = "{}.npy".format(name)
+ self.currInputIdx = self.currInputIdx + 1
+
+ tens = self.currBasicBlock.addTensor(name, shape, dtype, None, filename)
+ # This is always an input to the block
+ self.currBasicBlock.addInput(name)
+
+ if vals is not None:
+ np.save(os.path.join(self.pathPrefix, filename), vals, False)
+
+ return tens
+
+ def addConst(self, shape, dtype, vals):
+ if not self.currBasicBlock:
+ raise Exception("addTensor called without valid basic block")
+
+ name = "const-{}".format(self.currInputIdx)
+ self.currInputIdx = self.currInputIdx + 1
+
+ tens = self.currBasicBlock.addTensor(name, shape, dtype, vals)
+ # Add the operator now
+ self.currBasicBlock.addOperator(TosaOp.Op().CONST, [], name)
+
+ return tens
+
+ def addIntermediate(self, shape, dtype):
+
+ if not self.currBasicBlock:
+ raise Exception("addTensor called without valid basic block")
+
+ name = "layer-{}".format(self.currLayerIdx)
+ self.currLayerIdx = self.currLayerIdx + 1
+
+ tens = self.currBasicBlock.addTensor(name, shape, dtype, None)
+
+ return tens
+
+ def addInputTensor(self, tensor):
+ self.currBasicBlock.addTensor(tensor.name, tensor.shape, tensor.dtype)
+ self.currBasicBlock.addInput(tensor.name)
+
+ def addOutputTensor(self, tensor):
+ self.currBasicBlock.addOutput(tensor.name)
+
+ def addOutput(self, shape, dtype):
+ if not self.currBasicBlock:
+ raise Exception("addTensor called without valid basic block")
+
+ name = "result-{}".format(self.currResultIdx)
+ self.currResultIdx = self.currResultIdx + 1
+
+ tens = self.currBasicBlock.addTensor(name, shape, dtype, None)
+ self.currBasicBlock.addOutput(name)
+ return tens
+
+ def addOperator(self, op, inputs, outputs, attributes=None, quant_info=None):
+
+ if op == TosaOp.Op().CONST:
+ raise Exception("Use addConstTensor() to add CONST ops")
+
+ return self.currBasicBlock.addOperator(
+ op, inputs, outputs, attributes, quant_info
+ )
+
+ def setExpectedReturnCode(self, val, fail, desc=""):
+
+ self.expectedReturnCode = val
+ self.expectedFailureDesc = desc
+ self.expectedFailure = fail
+
+ def serialize(self):
+
+ builder = self.builder
+
+ Version.Start(builder)
+ Version.Add_major(builder, TOSA_VERSION[0])
+ Version.Add_minor(builder, TOSA_VERSION[1])
+ Version.Add_patch(builder, TOSA_VERSION[2])
+ Version.Add_draft(builder, TOSA_VERSION[3])
+ version = Version.End(builder)
+
+ fbv_bb = TosaSerializer.serializeObjVec(
+ builder, self.basicBlocks, TosaGraph.StartBlocksVector
+ )
+
+ TosaGraph.Start(builder)
+ TosaGraph.AddVersion(builder, version)
+ TosaGraph.AddBlocks(builder, fbv_bb)
+ graph = TosaGraph.End(builder)
+
+ self.builder.Finish(graph)
+ return self.builder.Output()
+
+ def writeJson(self, tosa_filename):
+ """Write a json test file so that it is fairly easy to pick up the test
+ and generate commands for third party tool"""
+ test_desc = dict()
+
+ test_desc["tosa_file"] = tosa_filename
+ ifm_name = []
+ ifm_file = []
+ ofm_name = []
+ ofm_file = []
+
+ for b in self.basicBlocks:
+ if b.name == "main":
+ for i in b.inputs:
+ ifm_name.append(i)
+ ifm_file.append(b.tensors[i].placeholderFilename)
+ for o in b.outputs:
+ ofm_name.append(o)
+ # Make up an OFM filename here. One isn't generated until the
+ # reference tool is run, so any name is a good name
+ ofm_file.append("ref-{}.npy".format(o))
+
+ test_desc["ifm_name"] = ifm_name
+ test_desc["ifm_file"] = ifm_file
+ test_desc["ofm_name"] = ofm_name
+ test_desc["ofm_file"] = ofm_file
+ test_desc["expected_return_code"] = self.expectedReturnCode
+ test_desc["expected_failure"] = self.expectedFailure
+ if self.expectedFailureDesc:
+ test_desc["expected_failure_desc"] = self.expectedFailureDesc
+
+ return json.dumps(test_desc, indent=" ")
+
+ def startBasicBlock(self, name):
+ self.currBasicBlock = TosaSerializerBasicBlock(name)
+ self.basicBlocks.append(self.currBasicBlock)
+
+ @staticmethod
+ def serializeStrVec(builder, vec, start_fcn):
+ fb_strs = [builder.CreateString(i) for i in vec]
+ start_fcn(builder, len(fb_strs))
+ for s in fb_strs[::-1]:
+ builder.PrependUOffsetTRelative(s)
+ return builder.EndVector()
+
+ @staticmethod
+ def serializeUint8Vec(builder, vec):
+ builder.StartVector(1, len(vec), 8)
+ for v in vec[::-1]:
+ builder.PrependUint8(v)
+ try:
+ return builder.EndVector()
+ except TypeError:
+ return builder.EndVector(len(vec))
+
+ @staticmethod
+ def serializeInt32Vec(builder, vec):
+ builder.StartVector(4, len(vec), 4)
+ for v in vec[::-1]:
+ builder.PrependInt32(v)
+ try:
+ return builder.EndVector()
+ except TypeError:
+ return builder.EndVector(len(vec))
+
+ @staticmethod
+ def serializeFpVec(builder, vec):
+ builder.StartVector(4, len(vec), 4)
+ for v in vec[::-1]:
+ builder.PrependFloat32(v)
+ try:
+ return builder.EndVector()
+ except TypeError:
+ return builder.EndVector(len(vec))
+
+ @staticmethod
+ def serializeObjVec(builder, vec, start_fcn):
+ serialized_vec = []
+ for v in vec[::-1]:
+ serialized_vec.append(v.serialize(builder))
+
+ start_fcn(builder, len(vec))
+ for v in serialized_vec:
+ builder.PrependUOffsetTRelative(v)
+ try:
+ return builder.EndVector()
+ except TypeError:
+ return builder.EndVector(len(vec))
+
+ @staticmethod
+ def toList(val):
+ if isinstance(val, list):
+ return val
+ else:
+ return [val]