canned Estimators`.
    *   `Estimator.export_savedmodel` has been renamed to `export_saved_model`.
    *   When saving to SavedModel, Estimators will strip default op attributes.
        This is almost always the correct behavior, as it is more forwards
        compatible, but if you require that default attributes to be saved with
        the model, please use `tf.compat.v1.Estimator`.

1DFC          ; valid                                  # 6.0  COMBINING DOUBLE INVERTED BREVE BELOW
1DFD          ; valid                                  # 5.2  COMBINING ALMOST EQUAL TO BELOW
1DFE..1DFF    ; valid                                  # 5.0  COMBINING LEFT ARROWHEAD ABOVE..COMBINING RIGHT ARROWHEAD AND DOWN ARROWHEAD BELOW

} // Finally for Step 7 we copy the final T window into x, and subtract m // if necessary (which as explained in maybeSubtractModulus can be the // case both if x >= m, or if x overflowed). // // The paper suggests in Section 4 that we can do an "Almost Montgomery // Multiplication" by subtracting only in the overflow case, but the // cost is very similar since the constant time subtraction tells us if // x >= m as a side effect, and taking care of the broken invariant is // highly undesirable (see...

} // Finally for Step 7 we copy the final T window into x, and subtract m // if necessary (which as explained in maybeSubtractModulus can be the // case both if x >= m, or if x overflowed). // // The paper suggests in Section 4 that we can do an "Almost Montgomery // Multiplication" by subtracting only in the overflow case, but the // cost is very similar since the constant time subtraction tells us if // x >= m as a side effect, and taking care of the broken invariant is // highly undesirable (see...