// CHECK-PER-TENSOR: return %[[UNIFORM_QUANTIZE_0]] : tensor<?x3x4x2x!quant.uniform<i8:f32, {{.*}}>>

// -----

// Tests that fused pattern for convolution + bias + relu with
// dynamic batch dimension is properly quantized.

// Note that this checks for identical condition as
// quantize_conv_with_bias_dynamic_fn, omitting stablehlo.maximum.

		rel := obj.Addrel(c.cursym)
		rel.Off = int32(c.pc)
		rel.Siz = 4
		rel.Sym = p.To.Sym
		rel.Add = p.To.Offset
		rel.Type = objabi.R_ADDRMIPSU
		o2 = OP_IRR(c.opirr(p.As), 0, REGTMP, p.From.Reg)
		rel2 := obj.Addrel(c.cursym)
		rel2.Off = int32(c.pc + 4)
		rel2.Siz = 4
		rel2.Sym = p.To.Sym
		rel2.Add = p.To.Offset
		rel2.Type = objabi.R_ADDRMIPS

		rel := obj.Addrel(c.cursym)
		rel.Off = int32(c.pc)
		rel.Siz = 4
		rel.Sym = p.To.Sym
		rel.Add = p.To.Offset
		rel.Type = objabi.R_LOONG64_TLS_LE_HI
		o2 = OP_12IRR(c.opirr(AOR), uint32(0), uint32(REGTMP), uint32(REGTMP))
		rel2 := obj.Addrel(c.cursym)
		rel2.Off = int32(c.pc + 4)
		rel2.Siz = 4
		rel2.Sym = p.To.Sym
		rel2.Add = p.To.Offset

		if elfRelType == ".rela" {
			rela := ldr.LookupOrCreateSym(".rela", 0)
			elfWriteDynEntSym(ctxt, dynamic, elf.DT_RELA, rela)
			elfwritedynentsymsize(ctxt, dynamic, elf.DT_RELASZ, rela)
			Elfwritedynent(ctxt.Arch, dynamic, elf.DT_RELAENT, ELF64RELASIZE)
		} else {
			rel := ldr.LookupOrCreateSym(".rel", 0)
			elfWriteDynEntSym(ctxt, dynamic, elf.DT_REL, rel)

			{".gnu.version_r", SHT_LOOS + 268435454, SHF_ALLOC, 0x400330, 0x330, 0x20, 0x6, 0x1, 0x8, 0x0, 0x20},
			{".rela.dyn", SHT_RELA, SHF_ALLOC, 0x400350, 0x350, 0x18, 0x5, 0x0, 0x8, 0x18, 0x18},
			{".rela.plt", SHT_RELA, SHF_ALLOC, 0x400368, 0x368, 0x30, 0x5, 0xc, 0x8, 0x18, 0x30},
			{".init", SHT_PROGBITS, SHF_ALLOC + SHF_EXECINSTR, 0x400398, 0x398, 0x18, 0x0, 0x0, 0x4, 0x0, 0x18},

		if targType == sym.SDYNIMPORT {
			// These happen in .toc sections
			ld.Adddynsym(ldr, target, syms, targ)

			rela := ldr.MakeSymbolUpdater(syms.Rela)
			rela.AddAddrPlus(target.Arch, s, int64(r.Off()))
			rela.AddUint64(target.Arch, elf.R_INFO(uint32(ldr.SymDynid(targ)), uint32(elf.R_PPC64_ADDR64)))
			rela.AddUint64(target.Arch, uint64(r.Add()))
			su.SetRelocType(rIdx, objabi.ElfRelocOffset) // ignore during relocsym

		if target.Arch.PtrSize == 8 {
			rela := ldr.MakeSymbolUpdater(syms.Rela)
			rela.AddAddrPlus(target.Arch, got.Sym(), int64(ldr.SymGot(s)))
			rela.AddUint64(target.Arch, elf.R_INFO(uint32(ldr.SymDynid(s)), elfRelocTyp))
			rela.AddUint64(target.Arch, 0)
		} else {
			rel := ldr.MakeSymbolUpdater(syms.Rel)
			rel.AddAddrPlus(target.Arch, got.Sym(), int64(ldr.SymGot(s)))

  // CHECK-NOT: "tf.LogSoftmax"
  %0 = "tf.LogSoftmax"(%arg0) : (tensor<*xf32>) -> tensor<*xf32>
  func.return %0: tensor<*xf32>
}

// CHECK-LABEL: func @selu
// CHECK-SAME:  (%[[FEATURES:.*]]: tensor<1x4x4x3xf32>) -> tensor<1x4x4x3xf32> {
func.func @selu(%arg0: tensor<1x4x4x3xf32>) -> tensor<1x4x4x3xf32> {
    // CHECK-DAG:   %[[ZERO:.*]] = "tf.Const"() <{value = dense<0.000000e+00> : tensor<f32>}> : () -> tensor<f32>

			// set a seed.
			rand.Seed(4)
			var prevNumFilterCalled int32
			for cycle, pod := range tt.testPods {
				state := framework.NewCycleState()
				// Some tests rely on PreFilter plugin to compute its CycleState.
				if _, status := fwk.RunPreFilterPlugins(ctx, state, pod); !status.IsSuccess() {
					t.Errorf("cycle %d: Unexpected PreFilter Status: %v", cycle, status)
				}

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