may start to fail. To fix this, either update any inference clients to send
    requests with the actual input and output keys used by the trainer code, or
    conversely, update the trainer code to name the input and output Tensors
    'inputs' and 'outputs', respectively. Signatures using the 'classify' and
    'regress' methods are not affected by this change; they will continue to

end }} {{ range $i := .Program.Instructions -}} {{- with add $i.Op }} {{ $i.Output }}.Mul({{ .X }}, {{ .Y }}) {{- end -}} {{- with double $i.Op }} {{ $i.Output }}.Square({{ .X }}) {{- end -}} {{- with shift $i.Op -}} {{- $first := 0 -}} {{- if ne $i.Output.Identifier .X.Identifier }} {{ $i.Output }}.Square({{ .X }}) {{- $first = 1 -}} {{- end }} for s := {{ $first }}; s < {{ .S }}; s++ { {{ $i.Output }}.Square({{ $i.Output }}) } {{- end -}} {{- end }} return e.Set(z) } ` golang.org/fips140@v1.0.0...

end }} {{ range $i := .Program.Instructions -}} {{- with add $i.Op }} {{ $i.Output }}.Mul({{ .X }}, {{ .Y }}) {{- end -}} {{- with double $i.Op }} {{ $i.Output }}.Square({{ .X }}) {{- end -}} {{- with shift $i.Op -}} {{- $first := 0 -}} {{- if ne $i.Output.Identifier .X.Identifier }} {{ $i.Output }}.Square({{ .X }}) {{- $first = 1 -}} {{- end }} for s := {{ $first }}; s < {{ .S }}; s++ { {{ $i.Output }}.Square({{ $i.Output }}) } {{- end -}} {{- end }} return e.Set(z) } ` golang.org/fips140@v1.1.0...

### Docs

* 📝 Add note to docs about Separate Input and Output Schemas with FastAPI version. PR [#10150](https://github.com/tiangolo/fastapi/pull/10150) by [@tiangolo](https://github.com/tiangolo).

## 0.102.0

### Features