LogicalResult matchAndRewrite(TF::SigmoidGradOp op,
                                PatternRewriter &rewriter) const override {
    Location loc = op.getLoc();
    Value y = op.getY();
    Value dy = op.getDy();
    auto tp_y = mlir::dyn_cast<RankedTensorType>(y.getType());
    auto tp_dy = mlir::dyn_cast<RankedTensorType>(dy.getType());
    if (!tp_y || !tp_dy) return failure();

ite-space":"pre-wrap"},".whitespace-break-spaces":{"white-space":"break-spaces"}})},textWrap:({addUtilities:i})=>{i({".text-wrap":{"text-wrap":"wrap"},".text-nowrap":{"text-wrap":"nowrap"},".text-balance":{"text-wrap":"balance"},".text-pretty":{"text-wrap":"pretty"}})},wordBreak:({addUtilities:i})=>{i({".break-normal":{"overflow-wrap":"normal","word-break":"normal"},".break-words":{"overflow-wrap":"break-word"},".break-all":{"word-break":"break-all"},".break-keep":{"word-break":"keep-all"}})},bo...

		res, err := cc.RoundTrip(req)
		if err != nil && retry <= 6 {
			roundTripErr := err
			if req, err = http2shouldRetryRequest(req, err); err == nil {
				// After the first retry, do exponential backoff with 10% jitter.
				if retry == 0 {
					t.vlogf("RoundTrip retrying after failure: %v", roundTripErr)
					continue
				}
				backoff := float64(uint(1) << (uint(retry) - 1))