bells17 <******@****.***> 1713555590 +0900

namespace mlir {
namespace odml {
namespace {
// A struct to hold axes and sizes for a set of dimensions.
struct DimensionVector {
  llvm::ArrayRef<int64_t> AxesArray() const { return axes; }
  llvm::ArrayRef<int64_t> SizesArray() const { return sizes; }

  llvm::SmallVector<int64_t, 4> axes;
  llvm::SmallVector<int64_t, 4> sizes;
};

// Appends all elements in `range` to `values`.

			// to defer size computation until we have Pass.TypesSizes.
			arch.sizes = types.SizesFor("gc", "amd64")
			log.Printf("unknown architecture %s", arch.name)
		}
		arch.intSize = int(arch.sizes.Sizeof(types.Typ[types.Int]))
		arch.ptrSize = int(arch.sizes.Sizeof(types.Typ[types.UnsafePointer]))
		arch.maxAlign = int(arch.sizes.Alignof(types.Typ[types.Int64]))
	}
}

var (
	re           = regexp.MustCompile

// size might have a 26.6% (1.266x) overhead.
// In practice, only one of the wastes comes into play for a
// given size (sizes < 512 waste mainly on the round-up,
// sizes > 512 waste mainly on the page chopping).
// For really small sizes, alignment constraints force the
// overhead higher.

package main

import (
	"bytes"
	"flag"
	"fmt"
	"go/format"
	"io"
	"log"
	"math"

  MLIR input.
* `--input-arg-shapes`: A string representation of input argument shapes for
  'main' entry-point, separating tensors with ':', dimension with ',', and
  using '?' for unknown sizes. For example, `input-arg-shapes=1,2::1,?`
  expresses argument shapes `[1,2]`, `[]` and `[1,?]`.
* `--e`: Elide large elements attrs while dumping the output StableHLO.

//    SavedModel.
//   input_arg_shapes_str: A string representation of input argument
//    shapes for 'main' entry-point, separating tensors with ':', dimension
//    with ',', and using '?' for unknown sizes. For example,
//    'input-arg-shapes=1,2::1,?' expresses argument shapes [1,2], [] and [1,?].
//
// Returns:
//   An absl::StatusOr containing the serialized bytecode of the StableHLO

)

func TestSendFile(t *testing.T) {
	sizes := []int{
		1,
		42,
		1025,
		syscall.Getpagesize() + 1,
		32769,
	}
	t.Run("sendfile-to-unix", func(t *testing.T) {
		for _, size := range sizes {
			t.Run(strconv.Itoa(size), func(t *testing.T) {
				testSendFile(t, "unix", int64(size))
			})
		}
	})
	t.Run("sendfile-to-tcp", func(t *testing.T) {
		for _, size := range sizes {

			args: args{v: reflect.ValueOf([]example.Pod{}), maxCapacity: 10, sizes: []int{1, 12}},
			cap:  10,
		},
		{
			name: "takes max",
			args: args{v: reflect.ValueOf([]example.Pod{}), maxCapacity: 10, sizes: []int{8, 4}},
			cap:  8,
		},
		{
			name: "with existing capacity above max",
			args: args{initialCapacity: 12, maxCapacity: 10, sizes: []int{8, 4}},
			cap:  12,
		},
		{

	buildSlicing8TablesOnce()
	crc = ^crc
	// Table comparison is somewhat expensive, so avoid it for small sizes
	for len(p) >= 64 {
		var helperTable *[8]Table
		if *tab == slicing8TableECMA[0] {
			helperTable = slicing8TableECMA
		} else if *tab == slicing8TableISO[0] {
			helperTable = slicing8TableISO
			// For smaller sizes creating extended table takes too much time
		} else if len(p) >= 2048 {

        * input-arg-shapes: A string representation of input argument shapes for
          'main' entry-point, separating tensors with ':', dimension with ',', and
          using '?' for unknown sizes. For example, 'input-arg-shapes=1,2::1,?'
          expresses argument shapes [1,2], [] and [1,?].
        )pbdoc",
      py::arg("input_path"),
      py::arg("exported_model_signatures") =