```mlir
      %old_val = "tf.ReadVariableOp"(%buffer)
      %old_size = "tf.ReadVariableOp"(%size)
      %offsets = "tf.ConcatV2"(%old_size, %other_dims_0s, %const0)
      %new_val = "tf.XlaDynamicUpdateSlice"(%old_val, %push_val, %offsets)
      "tf.AssignVariableOp"(%buffer, %new_val)
      %new_size = "tf.AddV2"(%old_size, %const1)
      "tf.AssignVariableOp"(%size, %new_size)
    ```

  %0 = "tfl.strided_slice"(%arg0, %arg1, %arg2, %arg3) {begin_mask = 0 : i32, ellipsis_mask = 0 : i32, end_mask = 0 : i32, new_axis_mask = 0 : i32, shrink_axis_mask = 0 : i32, offset = false} : (tensor<12x2x2x5xf32>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<1x2x2x5xf32>...

	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	objectRSC := s3select.NewObjectReadSeekCloser(
		func(offset int64) (io.ReadCloser, error) {
			rs := &HTTPRangeSpec{
				IsSuffixLength: false,
				Start:          offset,
				End:            -1,
			}
			opts.NoLock = true
			return getObjectNInfo(ctx, bucket, object, rs, r.Header, opts)
		},
		actualSize,
	)

// fold offset into address
(ADDconst [off1] (MOVDaddr [off2] {sym} ptr)) && is32Bit(off1+int64(off2)) =>
	 (MOVDaddr [int32(off1)+off2] {sym} ptr)

// fold address into load/store.
// Do not fold global variable access in -dynlink mode, where it will
// be rewritten to use the GOT via REGTMP, which currently cannot handle
// large offset.

            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',

// 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]]

  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:

	// `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)()

		ServerSideEncryption: opts.ServerSideEncryption,
		Internal: minio.AdvancedGetOptions{
			ReplicationProxyRequest: "true",
		},
		PartNumber: opts.PartNumber,
	}
	// get correct offsets for encrypted object
	if rs != nil {
		h, err := rs.ToHeader()
		if err != nil {
			return nil, proxy, err
		}
		gopts.Set(xhttp.Range, h)
	}
	// Make sure to match ETag when proxying.

      }

      /*
       * Reclassify nodes in each list to new Map. Because we are using power-of-two expansion, the
       * elements from each bin must either stay at same index, or move with a power of two offset.
       * We eliminate unnecessary node creation by catching cases where old nodes can be reused
       * because their next fields won't change. Statistically, at the default threshold, only about