This is particularly useful when automatically generating clients or
                SDKs for your API.

                Read more about it in the
                [FastAPI docs about how to Generate Clients](https://fastapi.tiangolo.com/advanced/generate-clients/#custom-generate-unique-id-function).
                """
            ),
        ] = Default(generate_unique_id),

}

def TPUDynamicLayoutPass : Pass<"tf-tpu-dynamic-layout-pass", "ModuleOp"> {
  let summary = "Inserts TPU layout ops to determine layout at run time.";
  let constructor = "TFTPU::CreateTPUDynamicLayoutPass()";
  let description = [{
    A pass that allows TPU input layout to be determined after JIT compilation.
    This is done by adding run-time ops that interpret compilation result and

			}
		}
		for _, pkg := range pkgs {
			if !load.SafeArg(pkg) {
				return nil, nil, fmt.Errorf("invalid pkg-config package name: %s", pkg)
			}
		}
		var out []byte
		out, err = sh.runOut(p.Dir, nil, b.PkgconfigCmd(), "--cflags", pcflags, "--", pkgs)
		if err != nil {
			desc := b.PkgconfigCmd() + " --cflags " + strings.Join(pcflags, " ") + " -- " + strings.Join(pkgs, " ")

     *
     * <p>For users of the {@code -jre} flavor of Guava, the object can be any {@code
     * AutoCloseable}. For users of the {@code -android} flavor, the object must be a {@code
     * Closeable}. (For more about the flavors, see <a
     * href="https://github.com/google/guava#adding-guava-to-your-build">Adding Guava to your
     * build</a>.)
     *

			if toc := ldr.Lookup(".TOC.", i); toc != 0 {
				ldr.SetSymValue(toc, tocAddr)
			}
		}
	}

	return order
}

// layout assigns file offsets and lengths to the segments in order.
// Returns the file size containing all the segments.
func (ctxt *Link) layout(order []*sym.Segment) uint64 {
	var prev *sym.Segment
	for _, seg := range order {
		if prev == nil {
			seg.Fileoff = uint64(HEADR)

    }

    // Populate the trnaspose permutation params from a "canonicalized" output
    // to the real output.
    // The canonicalized layout would be batch_dims followed by sliced_dims.
    // The current layout is essentially a transpose after the canonicalized
    // layout.
    // Take the following as an example:
    // If we have the:
    // original_offset_dims like [1, 2, 4]
    // batch_dims like [0, 3]

int64_t LogisticOp::GetArithmeticCount(Operation* op) {
  int64_t count;
  // As a very rough ballpark, the cost of evaluating a math function
  // such as tanh or logistic is about 32 multiplications, and about as
  // many additions/subtractions. (Just a power-of-two order-of-magnitude
  // from looking at actual implementations that we use in runtime/code).

  int64_t axis =
      axis_attr.getSplatValue<IntegerAttr>().getValue().getSExtValue();
  // TODO(ezhulenev): Compute axis from rank. e.g. It might be common to concat
  // on the channels dim for NCHW layout as axis=-2.
  if (axis < 0) return failure();

  // All concat operands must be defined by ops of the same kind (e.g. tf.Mul),
  // or some other ops that we might convert to using the same op kind above

// Proto debug string:
//  input 0
//   type: OTHER
//   tile_shape {
//    element_type: F32
//    dimensions: 2
//    dimensions: 2
//    layout {
//     minor_to_major: 1
//     minor_to_major: 0
//     format: DENSE
//    }
//    is_dynamic_dimension: false
//    is_dynamic_dimension: false
//   }
//   tile_assignment_dimensions: 2

		v = makeMethodValue("Interface", v)
	}

	if v.kind() == Interface {
		// Special case: return the element inside the interface.
		// Empty interface has one layout, all interfaces with
		// methods have a second layout.
		if v.NumMethod() == 0 {
			return *(*any)(v.ptr)
		}
		return *(*interface {
			M()
		})(v.ptr)
	}

	return packEface(v)
}