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marshaler.go
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/
marshaler.go
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package main
import (
"bytes"
"encoding/binary"
"encoding/json"
"fmt"
"io"
"io/ioutil"
"github.com/grpc-ecosystem/grpc-gateway/v2/runtime"
gw "github.com/pvaneck/modelmesh-proxy/gen"
)
type Tensor struct {
Name string `json:"name,omitempty"`
Datatype string `json:"datatype,omitempty"`
Shape []int64 `json:"shape,omitempty"`
Parameters map[string]*gw.InferParameter `json:"parameters,omitempty"`
Data interface{} `json:"data,omitempty"`
}
type RESTResponse struct {
ModelName string `json:"model_name,omitempty"`
ModelVersion string `json:"model_version,omitempty"`
Id string `json:"id,omitempty"`
Parameters map[string]*gw.InferParameter `json:"parameters,omitempty"`
Outputs []Tensor `json:"outputs,omitempty"`
}
type RESTRequest struct {
Id string `json:"id,omitempty"`
Parameters map[string]*gw.InferParameter `json:"parameters,omitempty"`
Inputs []Tensor `json:"inputs,omitempty"`
Outputs []*gw.ModelInferRequest_InferRequestedOutputTensor `json:"outputs,omitempty"`
}
type CustomJSONPb struct {
runtime.JSONPb
}
// Sizes of each type in bytes.
var typeSizes = map[string]int64{
"BOOL": 1,
"UINT8": 1,
"UINT16": 2,
"UINT32": 4,
"UINT64": 8,
"INT8": 1,
"INT16": 2,
"INT32": 4,
"INT64": 8,
"FP16": 2,
"FP32": 4,
"FP64": 8,
"BYTES": 1,
}
// This function adjusts the gRPC response before marshaling and
// returning to the user.
func (c *CustomJSONPb) Marshal(v interface{}) ([]byte, error) {
var err error
var j []byte
switch v.(type) {
case *gw.ModelInferResponse:
r, ok := v.(*gw.ModelInferResponse)
if ok {
resp := &RESTResponse{}
resp.ModelName = r.ModelName
resp.ModelVersion = r.ModelVersion
resp.Id = r.Id
resp.Parameters = r.Parameters
for i, output := range r.Outputs {
tensor := Tensor{}
tensor.Name = output.Name
tensor.Datatype = output.Datatype
tensor.Shape = output.Shape
tensor.Parameters = output.Parameters
var numElements int64 = 1
for j := range tensor.Shape {
numElements = tensor.Shape[j] * numElements
}
var data interface{}
switch tensor.Datatype {
case "BOOL":
if r.RawOutputContents == nil {
data = output.Contents.BoolContents
} else {
outputData := make([]bool, numElements)
readBytes(r.RawOutputContents[i], &outputData, 0, typeSizes[tensor.Datatype], numElements)
data = outputData
}
case "UINT8":
if r.RawOutputContents == nil {
data = output.Contents.UintContents
} else {
outputData := make([]uint8, numElements)
readBytes(r.RawOutputContents[i], &outputData, 0, typeSizes[tensor.Datatype], numElements)
data = outputData
}
case "UINT16":
if r.RawOutputContents == nil {
data = output.Contents.UintContents
} else {
outputData := make([]uint16, numElements)
readBytes(r.RawOutputContents[i], &outputData, 0, typeSizes[tensor.Datatype], numElements)
data = outputData
}
case "UINT32":
if r.RawOutputContents == nil {
data = output.Contents.UintContents
} else {
outputData := make([]uint32, numElements)
readBytes(r.RawOutputContents[i], &outputData, 0, typeSizes[tensor.Datatype], numElements)
data = outputData
}
case "UINT64":
if r.RawOutputContents == nil {
data = output.Contents.Uint64Contents
} else {
outputData := make([]uint64, numElements)
readBytes(r.RawOutputContents[i], &outputData, 0, typeSizes[tensor.Datatype], numElements)
data = outputData
}
case "INT8":
if r.RawOutputContents == nil {
data = output.Contents.IntContents
} else {
outputData := make([]int8, numElements)
readBytes(r.RawOutputContents[i], &outputData, 0, typeSizes[tensor.Datatype], numElements)
data = outputData
}
case "INT16":
if r.RawOutputContents == nil {
data = output.Contents.IntContents
} else {
outputData := make([]int16, numElements)
readBytes(r.RawOutputContents[i], &outputData, 0, typeSizes[tensor.Datatype], numElements)
data = outputData
}
case "INT32":
if r.RawOutputContents == nil {
data = output.Contents.IntContents
} else {
outputData := make([]int32, numElements)
readBytes(r.RawOutputContents[i], &outputData, 0, typeSizes[tensor.Datatype], numElements)
data = outputData
}
case "INT64":
if r.RawOutputContents == nil {
data = output.Contents.Int64Contents
} else {
outputData := make([]int64, numElements)
readBytes(r.RawOutputContents[i], &outputData, 0, typeSizes[tensor.Datatype], numElements)
data = outputData
}
case "FP16":
// TODO: Relies on raw_input_contents
case "FP32":
if r.RawOutputContents == nil {
data = output.Contents.Fp32Contents
} else {
outputData := make([]float32, numElements)
readBytes(r.RawOutputContents[i], &outputData, 0, typeSizes[tensor.Datatype], numElements)
data = outputData
}
case "FP64":
if r.RawOutputContents == nil {
data = output.Contents.Fp64Contents
} else {
outputData := make([]float64, numElements)
readBytes(r.RawOutputContents[i], &outputData, 0, typeSizes[tensor.Datatype], numElements)
data = outputData
}
case "BYTES":
if r.RawOutputContents == nil {
data = output.Contents.BytesContents
} else {
data = r.RawOutputContents[i]
}
default:
return nil, fmt.Errorf("Unsupported Datatype in inference response outputs")
}
tensor.Data = data
resp.Outputs = append(resp.Outputs, tensor)
j, err = c.JSONPb.Marshal(resp)
}
}
default:
j, err = c.JSONPb.Marshal(v)
}
if err != nil {
return nil, err
}
return j, nil
}
// This function adjusts the user input before a gRPC message is sent to the
// server.
func (c *CustomJSONPb) NewDecoder(r io.Reader) runtime.Decoder {
return runtime.DecoderFunc(func(v interface{}) error {
req, ok := v.(*gw.ModelInferRequest)
if ok {
logger.Info("Received REST inference request")
raw, err := ioutil.ReadAll(r)
if err != nil {
return err
}
restReq := RESTRequest{}
err = json.Unmarshal(raw, &restReq)
if err != nil {
return err
}
req.Id = restReq.Id
req.Parameters = restReq.Parameters
req.Outputs = restReq.Outputs
// TODO: Figure out better/cleaner way to do type coercion?
// TODO: Flatten N-Dimensional data arrays.
for index, input := range restReq.Inputs {
tensor := &gw.ModelInferRequest_InferInputTensor{
Name: input.Name,
Datatype: input.Datatype,
Shape: input.Shape,
Parameters: input.Parameters,
}
d := input.Data.([]interface{})
switch tensor.Datatype {
case "BOOL":
data := make([]bool, len(d))
for i := range d {
data[i] = d[i].(bool)
}
tensor.Contents = &gw.InferTensorContents{BoolContents: data}
case "UINT8", "UINT16", "UINT32":
data := make([]uint32, len(d))
for i := range d {
data[i] = uint32(d[i].(float64))
}
tensor.Contents = &gw.InferTensorContents{UintContents: data}
case "UINT64":
data := make([]uint64, len(d))
for i := range d {
data[i] = uint64(d[i].(float64))
}
tensor.Contents = &gw.InferTensorContents{Uint64Contents: data}
case "INT8", "INT16", "INT32":
data := make([]int32, len(d))
for i := range d {
data[i] = int32(d[i].(float64))
}
tensor.Contents = &gw.InferTensorContents{IntContents: data}
case "INT64":
data := make([]int64, len(d))
for i := range d {
data[i] = int64(d[i].(float64))
}
tensor.Contents = &gw.InferTensorContents{Int64Contents: data}
case "FP16":
// TODO: Relies on raw_input_contents
case "FP32":
data := make([]float32, len(d))
for i := range d {
data[i] = float32(d[i].(float64))
}
tensor.Contents = &gw.InferTensorContents{Fp32Contents: data}
case "FP64":
data := make([]float64, len(d))
for i := range d {
data[i] = d[i].(float64)
}
tensor.Contents = &gw.InferTensorContents{Fp64Contents: data}
case "BYTES":
// TODO: BytesContents is multi-dimensional. Figure out how to
// correctly represent the data is a 2D slice.
data := make([][]byte, 1)
data[0] = make([]byte, len(d))
for i := range d {
data[index][i] = byte(d[i].(float64))
}
tensor.Contents = &gw.InferTensorContents{BytesContents: data}
default:
return fmt.Errorf("Unsupported Datatype")
}
req.Inputs = append(req.Inputs, tensor)
}
return nil
}
return c.JSONPb.NewDecoder(r).Decode(v)
})
}
// This function is used for processing RawOutputContents byte array.
func readBytes(dataBytes []byte, data interface{}, index int, size int64, numElements int64) error {
start := int64(index) * numElements * size
buf := bytes.NewBuffer(dataBytes[start : start+numElements*size])
binary.Read(buf, binary.LittleEndian, data)
return nil
}