Raise error type corresponding to status code instead of generic RuntimeError.
PiperOrigin-RevId: 317367352 Change-Id: I35378b88a33269ac225632ae848398b819c694a1
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c575e2ba93
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@ -180,6 +180,15 @@ int ConvertDeviceName(PyObject* obj, const char** dst) {
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return 1;
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}
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void RaiseExceptionTypeFromTFStatus(TF_Status* status) {
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TF_Code code = TF_GetCode(status);
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PyObject* exception = tensorflow::PyExceptionRegistry::Lookup(code);
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PyErr_SetObject(exception,
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pybind11::make_tuple(pybind11::none(), pybind11::none(),
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TF_Message(status))
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.ptr());
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}
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} // namespace
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namespace tensorflow {
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@ -305,13 +314,7 @@ TFE_TensorHandle* ConvertToEagerTensorUncached(TFE_Context* ctx,
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device_name, status.get()));
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const TF_Code code = TF_GetCode(status.get());
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if (code != TF_OK) {
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// Instead of raising a generic RuntimeError, raise an exception type
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// based on the status error code.
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PyObject* exception = PyExceptionRegistry::Lookup(code);
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PyErr_SetObject(exception,
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pybind11::make_tuple(pybind11::none(), pybind11::none(),
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TF_Message(status.get()))
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.ptr());
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RaiseExceptionTypeFromTFStatus(status.get());
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return nullptr;
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}
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}
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@ -512,7 +515,9 @@ static PyObject* EagerTensor_datatype_enum(EagerTensor* self) {
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static PyObject* EagerTensor_shape_tuple(EagerTensor* self) {
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auto handle = self->handle;
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int n = TFE_TensorHandleNumDims(handle, &self->status);
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if (MaybeRaiseExceptionFromTFStatus(&self->status, nullptr)) {
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TF_Code code = TF_GetCode(&self->status);
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if (code != TF_OK) {
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RaiseExceptionTypeFromTFStatus(&self->status);
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// Cleanup self->status before returning.
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self->status.status = tensorflow::Status::OK();
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return nullptr;
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@ -522,13 +527,18 @@ static PyObject* EagerTensor_shape_tuple(EagerTensor* self) {
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for (int i = 0; i < n; ++i) {
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PyObject* dim =
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PyLong_FromLongLong(TFE_TensorHandleDim(handle, i, &self->status));
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if (MaybeRaiseExceptionFromTFStatus(&self->status, nullptr) ||
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dim == nullptr || PyTuple_SetItem(shape, i, dim) != 0) {
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code = TF_GetCode(&self->status);
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if (code != TF_OK || dim == nullptr ||
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PyTuple_SetItem(shape, i, dim) != 0) {
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if (code != TF_OK) {
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RaiseExceptionTypeFromTFStatus(&self->status);
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} else {
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PyErr_SetString(PyExc_RuntimeError, "Error while creating shape");
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}
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// Cleanup self->status before returning.
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self->status.status = tensorflow::Status::OK();
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Py_DECREF(shape);
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if (dim != nullptr) Py_DECREF(dim);
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PyErr_SetString(PyExc_RuntimeError, "Error while creating shape");
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return nullptr;
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}
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}
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