/* checkoffset checks whether the immediate offset is valid for VLD[1-4].P and VST[1-4].P */
func (c *ctxt7) checkoffset(p *obj.Prog, as obj.As) {
	var offset, list, n, expect int64
	switch as {
	case AVLD1, AVLD2, AVLD3, AVLD4, AVLD1R, AVLD2R, AVLD3R, AVLD4R:
		offset = p.From.Offset
		list = p.To.Offset
	case AVST1, AVST2, AVST3, AVST4:
		offset = p.To.Offset
		list = p.From.Offset
	default:

		})
	}
}

func check2ndField(x any, offs uintptr, t *testing.T) {
	s := ValueOf(x)
	f := s.Type().Field(1)
	if f.Offset != offs {
		t.Error("mismatched offsets in structure alignment:", f.Offset, offs)
	}
}

// Check that structure alignment & offsets viewed through reflect agree with those
// from the compiler itself.
func TestAlignment(t *testing.T) {
	type T1inner struct {
		a int

		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.

  if (scale && !IsOfRankedFloatTensorType(scale, 1))
    return op.emitOpError("requires scale to be a 1D float tensor");

  auto offset = GetRankedTensorTypeForOperand(op.getOffset());
  if (offset && !IsOfRankedFloatTensorType(offset, 1))
    return op.emitOpError("requires offset to be a 1D float tensor");

  auto mean = GetRankedTensorTypeForOperand(op.getMean());
  if (mean && !IsOfRankedFloatTensorType(mean, 1))

				switch st.kind {
				case abiStepIntReg:
					offset := add(s, st.offset, "precomputed value offset")
					intFromReg(&regArgs, st.ireg, st.size, offset)
				case abiStepPointer:
					s := add(s, st.offset, "precomputed value offset")
					*((*unsafe.Pointer)(s)) = regArgs.Ptrs[st.ireg]
				case abiStepFloatReg:
					offset := add(s, st.offset, "precomputed value offset")
					floatFromReg(&regArgs, st.freg, st.size, offset)

  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:

evented","relatedTarget","timeStamp","now","isSimulated","altKey","bubbles","cancelable","changedTouches","ctrlKey","detail","eventPhase","metaKey","pageX","pageY","shiftKey","view","char","charCode","keyCode","buttons","clientX","clientY","offsetX","offsetY","pointerId","pointerType","screenX","screenY","targetTouches","toElement","touches","which","blur","mouseenter","mouseleave","pointerenter","pointerleave","orig","related","rnoInnerhtml","rchecked","rcleanScript","manipulationTarget","disab...

evented","relatedTarget","timeStamp","now","isSimulated","altKey","bubbles","cancelable","changedTouches","ctrlKey","detail","eventPhase","metaKey","pageX","pageY","shiftKey","view","char","charCode","keyCode","buttons","clientX","clientY","offsetX","offsetY","pointerId","pointerType","screenX","screenY","targetTouches","toElement","touches","which","blur","mouseenter","mouseleave","pointerenter","pointerleave","orig","related","rnoInnerhtml","rchecked","rcleanScript","manipulationTarget","disab...

  func.return
}

// -----

func.func @testConcatOffest(%concat_dim: tensor<i32>, %shape0: tensor<3xi32>, %shape1: tensor<3xi32>) {
  // expected-error @+1 {{'tf.ConcatOffset' op requires sizes of shapes and offsets to be the same, got sizes 2 and 3}}
  %0:3 = "tf.ConcatOffset"(%concat_dim, %shape0, %shape1) : (tensor<i32>, tensor<3xi32>, tensor<3xi32>) -> (tensor<3xi32>, tensor<3xi32>, tensor<3xi32>)
  func.return
}

// -----

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...