filter_tensor, filter_min, filter_max, num_bits=8, narrow_range=True
        )
        bias = array_ops.constant([0.1, 0.2], dtype=dtypes.float32)
        scale, offset = [1.0] * 2, [0.5] * 2
        mean, variance = scale, offset
        out = nn_ops.conv2d(
            q_input,
            q_filter,
            strides=[1, 1, 2, 1],
            dilations=[1, 1, 1, 1],
            padding='SAME',

38022568,"mean_t":1234567577},{"name":"repeat","kids":[{"name":"negative-offset-repeat-transformed-expected.png","kids":[],"cl_weight":0.00803938517900127,"touches":3,"min_t":1229474548,"max_t":1238022568,"mean_t":1234908769},{"name":"negative-offset-repeat-transformed-expected.checksum","kids":[],"cl_weight":0.00803938517900127,"touches":3,"min_t":1229474548,"max_t":1238022568,"mean_t":1234908769},{"name":"negative-offset-repeat-expected.png","kids":[],"cl_weight":0.00012874983906270118,"touche...

}

func NsecToTimeval(nsec int64) (tv Timeval) {
	tv.Sec = int32(nsec / 1e9)
	tv.Usec = int32(nsec % 1e9 / 1e3)
	return
}

type Overlapped struct {
	Internal     uintptr
	InternalHigh uintptr
	Offset       uint32
	OffsetHigh   uint32
	HEvent       Handle
}

type FileNotifyInformation struct {
	NextEntryOffset uint32
	Action          uint32
	FileNameLength  uint32
	FileName        uint16
}

// CHECK{LITERAL}: dense<[2, 3]> : tensor<2xi32>
// CHECK: %[[SLICE:.+]] = "tfl.strided_slice"(%[[ARG0]], %[[START]], %[[SIZE]], %[[STRIDE]]) <{begin_mask = 0 : i32, ellipsis_mask = 0 : i32, end_mask = 0 : i32, new_axis_mask = 0 : i32, offset = false, shrink_axis_mask = 0 : i32}> : (tensor<3x6x!quant.uniform<i8:f32, 2.000000e+00:-1>>, tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) -> tensor<2x2x!quant.uniform<i8:f32, 2.000000e+00:-1>>
// CHECK: return %[[SLICE]]

Redeclaration does not introduce a new variable; it just assigns a new value to the original.
</p>

<pre>
field1, offset := nextField(str, 0)
field2, offset := nextField(str, offset)  // redeclares offset
a, a := 1, 2                              // illegal: double declaration of a or no new variable if a was declared elsewhere
</pre>

<p>

  let summary = "Return a slice from 'input'.";

  let description = [{
The output tensor is a tensor with dimensions described by 'size'
whose values are extracted from 'input' starting at the offsets in
'begin'.

`begin` is zero-based; `size` is one-based. If size[i] is -1, all remaining
elements in dimension i are included in the slice. In other words, this is
equivalent to setting:

pkg debug/macho, type FatArchHeader struct
pkg debug/macho, type FatArchHeader struct, Align uint32
pkg debug/macho, type FatArchHeader struct, Cpu Cpu
pkg debug/macho, type FatArchHeader struct, Offset uint32
pkg debug/macho, type FatArchHeader struct, Size uint32
pkg debug/macho, type FatArchHeader struct, SubCpu uint32
pkg debug/macho, type FatFile struct
pkg debug/macho, type FatFile struct, Arches []FatArch

	// `ExecObjectLayerAPINilTest` manages the operation.
	ExecObjectLayerAPINilTest(t, nilBucket, nilObject, instanceType, apiRouter, nilReq)
}

// Tests sanity of attempting to copying each parts at offsets from an existing
// file and create a new object. Also validates if the written is same as what we
// expected.
func TestAPICopyObjectPartHandlerSanity(t *testing.T) {
	defer DetectTestLeak(t)()

            strided_slice_op.getEndMask(), strided_slice_op.getEllipsisMask(),
            strided_slice_op.getNewAxisMask(),
            strided_slice_op.getShrinkAxisMask(),
            /*offset=*/true);
    rewriter.replaceOp(strided_slice_op, new_strided_slice_op.getOutput());

    return success();
  }
};

struct Convert2DUpscalingToResizeNearestNeighor

    file: String,
    content: String,
  ) {
    val sink = fileSystem.sink(directory.div(file)).buffer()
    sink.writeUtf8(content)
    sink.close()
  }

  /**
   * @param delta the offset from the current date to use. Negative values yield dates in the past;
   * positive values yield dates in the future.
   */
  private fun formatDate(
    delta: Long,
    timeUnit: TimeUnit,
  ): String {