5efaf25f5499c7065f1c37bfd4288159714406d8,src/syft/lib/torch/uppercase_tensor.py,,,#,11

Before Change

import torch as th

// Torch dtypes to string (and back) mappers
TORCH_DTYPE_STR = {
    th.uint8: "uint8",
    th.int8: "int8",
    th.int16: "int16",
    th.int32: "int32",
    th.int64: "int64",
    th.float16: "float16",
    th.float32: "float32",
    th.float64: "float64",
    th.complex32: "complex32",
    th.complex64: "complex64",
    th.complex128: "complex128",
    th.bool: "bool",
    th.qint8: "qint8",
    th.quint8: "quint8",
    th.qint32: "qint32",
    th.bfloat16: "bfloat16",
}
TORCH_STR_DTYPE = {name: cls for cls, name in TORCH_DTYPE_STR.items()}


class UppercaseTensorConstructor(ObjectConstructor):

After Change

// Step 3: create constructor and install it in the library
UppercaseTensorConstructor().install_inside_library()

torch_tensor_type = type(th.tensor([1, 2, 3]))


class TorchTensorWrapper(StorableObject):
    def __init__(self, value):

Instances