if (GradleContextualExecuter.configCache) {
            assert ops.size() == 2
        } else {
            assert ops.size() == 1
        }
        return ops.collect { op ->
            def plannedNodes = op.result.executionPlan as List<PlannedNode>
            assert plannedNodes.every { KNOWN_NODE_TYPES.contains(it.nodeIdentity.nodeType) }

(OffPtr [off] ptr) => (ADD (MOVDconst <typ.Int64> [off]) ptr)
(MOVDaddr {sym} [n] p:(ADD x y)) && sym == nil && n == 0 => p
(MOVDaddr {sym} [n] ptr) && sym == nil && n == 0 && (ptr.Op == OpArgIntReg || ptr.Op == OpPhi) => ptr

// TODO: optimize these cases?
(Ctz32NonZero ...) => (Ctz32 ...)
(Ctz64NonZero ...) => (Ctz64 ...)

        }
        return !Character.isLowerCase(name.charAt(0));
    }

    private boolean isLeftSquareBracket(int op) {
        return op == Types.ARRAY_EXPRESSION
            || op == Types.LEFT_SQUARE_BRACKET
            || op == Types.SYNTH_LIST
            || op == Types.SYNTH_MAP;
    }

    @Override
    protected Expression transformBinaryExpression(BinaryExpression be) {

	su.MakeWritable()
	op := target.Arch.ByteOrder.Uint32(su.Data()[offset:])
	if op&mask != check {
		ldr.Errorf(su.Sym(), "Rewrite offset 0x%x to 0x%08X failed check (0x%08X&0x%08X != 0x%08X)", offset, newinsn, op, mask, check)
	}
	su.SetUint32(target.Arch, offset, newinsn)
}

	}
	// We should not be able to perform the same Link() a second time
	err = Link(to, from)
	switch err := err.(type) {
	case *LinkError:
		if err.Op != "link" {
			t.Errorf("Link(%q, %q) err.Op = %q; want %q", to, from, err.Op, "link")
		}
		if err.Old != to {
			t.Errorf("Link(%q, %q) err.Old = %q; want %q", to, from, err.Old, to)
		}
		if err.New != from {

        //                            |
        // EmptyTensorList -> TensorListPushBack -> TensorListPopBack -> Op
        //                                                  |
        //                                        (Discard popped list)
        //
        // Would have been reduced to "Const -> Op" without this filter.
        // However since we are only allowed to specify the filter at the "Node"

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build:mkl_aarch64_threadpool -c opt

# CUDA: This config refers to building CUDA op kernels with nvcc.
build:cuda --repo_env TF_NEED_CUDA=1
build:cuda --crosstool_top=@local_config_cuda//crosstool:toolchain
build:cuda --@local_config_cuda//:enable_cuda

# CUDA: This config refers to building CUDA op kernels with clang.
build:cuda_clang --config=cuda

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i&c&nanif!.oc,lpl??os??romem?tnedurp??n&if?oitanretni??t&i&gid!.sppaduolc:.nodnol,,?p&ac?soh???ned?ot???c!.&bog?lim?oc?topsgolb,vog???dil?e&datic?n&ahc?nahc!rehtaew???t!ria?tam??vart??f&8f&pbgo--nx?tbgm--nx??a?n??g!.&gro?moc?oc?ten?ude?xx,zib,??h&d?op??i!.&21k?ca?fdi?gro?inum?oc!.&egapvar,redrotibat,t&ibatym,opsgolb,???ten?vog??a&f?m&e!.psirc.no,?g?toh???m?r??l&a&b&esab?t&eksab!.&sua,zn,??oof???c?mt??e&d?hs??ihmailliw?j??m!.&esserp?gro?moc?ten?ude?v&og?uog????n!.&etisbew321,no&med,rtsic,?oc,pohs...