Python elementwise_binary_op_handler Exemples

Exemple #1

TensorFlowConverter.register_handler("Abs")(unary_op_handler(Abs))


@TensorFlowConverter.register_handler("Acos")
def acos_handler(converter: TensorFlowConverter, tf_op: "tf.Operation"):
    raise NotImplementedError(
        f"[TensorFlowConverter] {tf_op.type} is not supported yet.")


@TensorFlowConverter.register_handler("Acosh")
def acosh_handler(converter: TensorFlowConverter, tf_op: "tf.Operation"):
    raise NotImplementedError(
        f"[TensorFlowConverter] {tf_op.type} is not supported yet.")


TensorFlowConverter.register_handler("Add")(elementwise_binary_op_handler(
    ElementwiseAdd, ScalarAdd))

TensorFlowConverter.register_handler("AddN")(elementwise_binary_op_handler(
    ElementwiseAdd, ScalarAdd))


@TensorFlowConverter.register_handler("All")
def all_handler(converter: TensorFlowConverter, tf_op: "tf.Operation"):
    raise NotImplementedError(
        f"[TensorFlowConverter] {tf_op.type} is not supported yet.")


@TensorFlowConverter.register_handler("Any")
def any_handler(converter: TensorFlowConverter, tf_op: "tf.Operation"):
    raise NotImplementedError(
        f"[TensorFlowConverter] {tf_op.type} is not supported yet.")

Exemple #2

Fichier : gen_math_ops.py Projet : newpouy/webdnn

@TensorFlowConverter.register_handler("Acos")
def acos_handler(converter: TensorFlowConverter, tf_op: "tf.Operation"):
    raise NotImplementedError(
        f"[TensorFlowConverter] {tf_op.type} is not supported yet.")


@TensorFlowConverter.register_handler("Acosh")
def acosh_handler(converter: TensorFlowConverter, tf_op: "tf.Operation"):
    raise NotImplementedError(
        f"[TensorFlowConverter] {tf_op.type} is not supported yet.")


TensorFlowConverter.register_handler("Add")(
    elementwise_binary_op_handler(ElementwiseAdd))

TensorFlowConverter.register_handler("AddN")(
    elementwise_binary_op_handler(ElementwiseAdd))


@TensorFlowConverter.register_handler("All")
def all_handler(converter: TensorFlowConverter, tf_op: "tf.Operation"):
    raise NotImplementedError(
        f"[TensorFlowConverter] {tf_op.type} is not supported yet.")


@TensorFlowConverter.register_handler("Any")
def any_handler(converter: TensorFlowConverter, tf_op: "tf.Operation"):
    raise NotImplementedError(
        f"[TensorFlowConverter] {tf_op.type} is not supported yet.")