Add support for float8_e4m3 and float8_e3m4 types

third_party/tsl/tools/def_file_filter/symbols_pybind.txt

@@ -62,12 +62,16 @@ tensorflow::grappler::graph_analyzer::GraphAnalyzerTool
 [//external/local_xla/xla/tsl/python/lib/core:ml_dtypes_lib] # bfloat16, float8
 tsl::ml_dtypes::RegisterTypes
 tsl::ml_dtypes::GetBfloat16Dtype
+tsl::ml_dtypes::GetFloat8E3m4Dtype
 tsl::ml_dtypes::GetFloat8E4m3b11fnuzDtype
 tsl::ml_dtypes::GetFloat8E4m3fnDtype
+tsl::ml_dtypes::GetFloat8E4m3Dtype
 tsl::ml_dtypes::GetFloat8E5m2Dtype
 tsl::ml_dtypes::GetBfloat16TypeNum
+tsl::ml_dtypes::GetFloat8E3m4TypeNum
 tsl::ml_dtypes::GetFloat8E4m3b11fnuzTypeNum
 tsl::ml_dtypes::GetFloat8E4m3fnTypeNum
+tsl::ml_dtypes::GetFloat8E4m3TypeNum
 tsl::ml_dtypes::GetFloat8E5m2TypeNum
 
 [//tensorflow/python:py_func_lib] # py_func

third_party/tsl/tsl/platform/ml_dtypes.h

@@ -17,9 +17,11 @@ limitations under the License.
 #define TENSORFLOW_TSL_PLATFORM_ML_DTYPES_H_
 
 #include "ml_dtypes/include/float8.h"  // from @ml_dtypes
-#include "ml_dtypes/include/intn.h"  // from @ml_dtypes
+#include "ml_dtypes/include/intn.h"    // from @ml_dtypes
 
 namespace tsl {
+using float8_e3m4 = ::ml_dtypes::float8_e3m4;
+using float8_e4m3 = ::ml_dtypes::float8_e4m3;
 using float8_e4m3fn = ::ml_dtypes::float8_e4m3fn;
 using float8_e4m3fnuz = ::ml_dtypes::float8_e4m3fnuz;
 using float8_e4m3b11fnuz = ::ml_dtypes::float8_e4m3b11fnuz;

third_party/tsl/tsl/protobuf/dnn.proto

@@ -22,6 +22,8 @@ enum DataType {
   kF8E5M2FNUZ = 10;
   kF8E4M3FNUZ = 11;
   kInt64 = 12;
+  kF8E4M3 = 13;
+  kF8E3M4 = 14;
 }
 
 // Describes how a convolution input or output layer's data is formatted.

xla/array2d_test.cc

@@ -162,6 +162,20 @@ TEST(Array2dTest, LinspaceF8E5M2) {
   EXPECT_FLOAT_EQ(static_cast<float>((*arr)(2, 1)), 3.5);
 }
 
+TEST(Array2dTest, LinspaceF8E4M3) {
+  auto arr = MakeLinspaceArray2D<tsl::float8_e4m3>(1.0, 3.5, 3, 2);
+
+  EXPECT_EQ(arr->n1(), 3);
+  EXPECT_EQ(arr->n2(), 2);
+
+  EXPECT_FLOAT_EQ(static_cast<float>((*arr)(0, 0)), 1.0);
+  EXPECT_FLOAT_EQ(static_cast<float>((*arr)(0, 1)), 1.5);
+  EXPECT_FLOAT_EQ(static_cast<float>((*arr)(1, 0)), 2.0);
+  EXPECT_FLOAT_EQ(static_cast<float>((*arr)(1, 1)), 2.5);
+  EXPECT_FLOAT_EQ(static_cast<float>((*arr)(2, 0)), 3.0);
+  EXPECT_FLOAT_EQ(static_cast<float>((*arr)(2, 1)), 3.5);
+}
+
 TEST(Array2dTest, LinspaceF8E4M3Fn) {
   auto arr = MakeLinspaceArray2D<tsl::float8_e4m3fn>(1.0, 3.5, 3, 2);
 
@@ -190,6 +204,20 @@ TEST(Array2dTest, LinspaceF8E4M3FnNoNan) {
   }
 }
 
+TEST(Array2dTest, LinspaceF8E3M4) {
+  auto arr = MakeLinspaceArray2D<tsl::float8_e3m4>(1.0, 3.5, 3, 2);
+
+  EXPECT_EQ(arr->n1(), 3);
+  EXPECT_EQ(arr->n2(), 2);
+
+  EXPECT_FLOAT_EQ(static_cast<float>((*arr)(0, 0)), 1.0);
+  EXPECT_FLOAT_EQ(static_cast<float>((*arr)(0, 1)), 1.5);
+  EXPECT_FLOAT_EQ(static_cast<float>((*arr)(1, 0)), 2.0);
+  EXPECT_FLOAT_EQ(static_cast<float>((*arr)(1, 1)), 2.5);
+  EXPECT_FLOAT_EQ(static_cast<float>((*arr)(2, 0)), 3.0);
+  EXPECT_FLOAT_EQ(static_cast<float>((*arr)(2, 1)), 3.5);
+}
+
 TEST(Array2dTest, Stringification) {
   auto arr = MakeLinspaceArray2D(1.0, 3.5, 3, 2);
   const std::string expected = R"([[1, 1.5],

xla/client/lib/math.cc

@@ -175,6 +175,8 @@ XlaOp IsNegZero(XlaOp operand) {
       case F32:
         return Eq(BitcastConvertType(operand, U32),
                   ConstantR0WithType(&b, U32, uint32_t{1} << 31));
+      case F8E3M4:
+      case F8E4M3:
       case F8E5M2:
       case F8E4M3FN:
       case F8E4M3B11FNUZ:
@@ -973,8 +975,8 @@ XlaOp Igamma(XlaOp a, XlaOp x) {
     TF_RETURN_IF_ERROR(EnsureOperandIsRealFp("Igamma", a));
     PrimitiveType a_x_type = a_shape.element_type();
     bool needs_upcast = false;
-    for (PrimitiveType type :
-         {BF16, F16, F8E5M2, F8E4M3FN, F8E4M3B11FNUZ, F8E5M2FNUZ, F8E4M3FNUZ}) {
+    for (PrimitiveType type : {BF16, F16, F8E3M4, F8E4M3, F8E5M2, F8E4M3FN,
+                               F8E4M3B11FNUZ, F8E5M2FNUZ, F8E4M3FNUZ}) {
       if (a_shape.element_type() == type) {
         needs_upcast = true;
         break;
@@ -1026,8 +1028,8 @@ XlaOp IgammaGradA(XlaOp a, XlaOp x) {
     }
     TF_RETURN_IF_ERROR(EnsureOperandIsRealFp("IgammaGradA", a));
     bool needs_upcast = false;
-    for (PrimitiveType type :
-         {BF16, F16, F8E5M2, F8E4M3FN, F8E4M3B11FNUZ, F8E5M2FNUZ, F8E4M3FNUZ}) {
+    for (PrimitiveType type : {BF16, F16, F8E3M4, F8E4M3, F8E5M2, F8E4M3FN,
+                               F8E4M3B11FNUZ, F8E5M2FNUZ, F8E4M3FNUZ}) {
       if (a_shape.element_type() == type) {
         needs_upcast = true;
         break;

xla/ffi/api/api.h

@@ -133,6 +133,10 @@ inline std::ostream& operator<<(std::ostream& os,
       return os << "TOKEN";
     case XLA_FFI_DataType_F8E5M2:
       return os << "F8E5M2";
+    case XLA_FFI_DataType_F8E3M4:
+      return os << "F8E3M4";
+    case XLA_FFI_DataType_F8E4M3:
+      return os << "F8E4M3";
     case XLA_FFI_DataType_F8E4M3FN:
       return os << "F8E4M3FN";
     case XLA_FFI_DataType_F8E4M3B11FNUZ:

xla/ffi/api/c_api.h

@@ -195,6 +195,8 @@ typedef enum {
   XLA_FFI_DataType_C128 = 18,
   XLA_FFI_DataType_TOKEN = 17,
   XLA_FFI_DataType_F8E5M2 = 19,
+  XLA_FFI_DataType_F8E3M4 = 29,
+  XLA_FFI_DataType_F8E4M3 = 28,
   XLA_FFI_DataType_F8E4M3FN = 20,
   XLA_FFI_DataType_F8E4M3B11FNUZ = 23,
   XLA_FFI_DataType_F8E5M2FNUZ = 24,

xla/ffi/api/ffi.h

@@ -73,10 +73,12 @@ enum class DataType : uint8_t {
   C128 = XLA_FFI_DataType_C128,
   TOKEN = XLA_FFI_DataType_TOKEN,
   F8E5M2 = XLA_FFI_DataType_F8E5M2,
+  F8E4M3 = XLA_FFI_DataType_F8E4M3,
   F8E4M3FN = XLA_FFI_DataType_F8E4M3FN,
   F8E4M3B11FNUZ = XLA_FFI_DataType_F8E4M3B11FNUZ,
   F8E5M2FNUZ = XLA_FFI_DataType_F8E5M2FNUZ,
   F8E4M3FNUZ = XLA_FFI_DataType_F8E4M3FNUZ,
+  F8E3M4 = XLA_FFI_DataType_F8E3M4,
 };
 
 // Create aliases in ::xla::ffi namespace for all DataTypes, for consistency
@@ -98,10 +100,12 @@ inline constexpr DataType C64 = DataType::C64;
 inline constexpr DataType C128 = DataType::C128;
 inline constexpr DataType TOKEN = DataType::TOKEN;
 inline constexpr DataType F8E5M2 = DataType::F8E5M2;
+inline constexpr DataType F8E4M3 = DataType::F8E4M3;
 inline constexpr DataType F8E4M3FN = DataType::F8E4M3FN;
 inline constexpr DataType F8E4M3B11FNUZ = DataType::F8E4M3B11FNUZ;
 inline constexpr DataType F8E5M2FNUZ = DataType::F8E5M2FNUZ;
 inline constexpr DataType F8E4M3FNUZ = DataType::F8E4M3FNUZ;
+inline constexpr DataType F8E3M4 = DataType::F8E3M4;
 
 inline std::ostream& operator<<(std::ostream& os, const DataType dtype) {
   return os << static_cast<XLA_FFI_DataType>(dtype);
@@ -117,10 +121,12 @@ constexpr size_t ByteWidth(DataType dtype) {
     case DataType::S8:
     case DataType::U8:
     case DataType::F8E5M2:
+    case DataType::F8E4M3:
     case DataType::F8E4M3FN:
     case DataType::F8E4M3B11FNUZ:
     case DataType::F8E5M2FNUZ:
     case DataType::F8E4M3FNUZ:
+    case DataType::F8E3M4:
       return 1;
     case DataType::S16:
     case DataType::U16:

xla/ffi/api/ffi_test.cc

@@ -130,11 +130,13 @@ TEST(FfiTest, DataTypeEnumValue) {
   EXPECT_EQ(encoded(PrimitiveType::TOKEN), encoded(DataType::TOKEN));
 
   EXPECT_EQ(encoded(PrimitiveType::F8E5M2), encoded(DataType::F8E5M2));
+  EXPECT_EQ(encoded(PrimitiveType::F8E4M3), encoded(DataType::F8E4M3));
   EXPECT_EQ(encoded(PrimitiveType::F8E4M3FN), encoded(DataType::F8E4M3FN));
   EXPECT_EQ(encoded(PrimitiveType::F8E4M3B11FNUZ),
             encoded(DataType::F8E4M3B11FNUZ));
   EXPECT_EQ(encoded(PrimitiveType::F8E5M2FNUZ), encoded(DataType::F8E5M2FNUZ));
   EXPECT_EQ(encoded(PrimitiveType::F8E4M3FNUZ), encoded(DataType::F8E4M3FNUZ));
+  EXPECT_EQ(encoded(PrimitiveType::F8E3M4), encoded(DataType::F8E3M4));
 }
 
 TEST(FfiTest, DataTypeByteWidth) {
@@ -179,6 +181,8 @@ TEST(FfiTest, DataTypeByteWidth) {
 
   EXPECT_EQ(primitive_util::ByteWidth(PrimitiveType::F8E5M2),
             ByteWidth(DataType::F8E5M2));
+  EXPECT_EQ(primitive_util::ByteWidth(PrimitiveType::F8E4M3),
+            ByteWidth(DataType::F8E4M3));
   EXPECT_EQ(primitive_util::ByteWidth(PrimitiveType::F8E4M3FN),
             ByteWidth(DataType::F8E4M3FN));
   EXPECT_EQ(primitive_util::ByteWidth(PrimitiveType::F8E4M3B11FNUZ),
@@ -187,6 +191,8 @@ TEST(FfiTest, DataTypeByteWidth) {
             ByteWidth(DataType::F8E5M2FNUZ));
   EXPECT_EQ(primitive_util::ByteWidth(PrimitiveType::F8E4M3FNUZ),
             ByteWidth(DataType::F8E4M3FNUZ));
+  EXPECT_EQ(primitive_util::ByteWidth(PrimitiveType::F8E3M4),
+            ByteWidth(DataType::F8E3M4));
 }
 
 TEST(FfiTest, ErrorEnumValue) {

xla/ffi/call_frame.cc

@@ -268,10 +268,12 @@ static XLA_FFI_DataType ToDataType(PrimitiveType primitive_type) {
     case PrimitiveType::C128:
     case PrimitiveType::TOKEN:
     case PrimitiveType::F8E5M2:
+    case PrimitiveType::F8E4M3:
     case PrimitiveType::F8E4M3FN:
     case PrimitiveType::F8E4M3B11FNUZ:
     case PrimitiveType::F8E5M2FNUZ:
     case PrimitiveType::F8E4M3FNUZ:
+    case PrimitiveType::F8E3M4:
       return static_cast<XLA_FFI_DataType>(primitive_type);
     default:
       DCHECK(false) << "Unsupported primitive type "

xla/fp_util_test.cc

@@ -111,21 +111,74 @@ INSTANTIATE_TEST_SUITE_P(DoublePrecisionInputs, FixedValueTest,
                                          0x1.fffffffffffffp-127,
                                          0x1.aaaaaaaaaaaaap-127));
 
-// Test F8E4M3 floating-point types (F8E4M3FN)
+// Test F8E4M3 floating-point types (F8E4M3, F8E4M3FN)
 template <typename T>
 class FP8E4M3DistanceTest : public ::testing::Test {};
 
-using F8E4M3Types = ::testing::Types<tsl::float8_e4m3fn>;
+using F8E4M3Types = ::testing::Types<tsl::float8_e4m3, tsl::float8_e4m3fn>;
 TYPED_TEST_SUITE(FP8E4M3DistanceTest, F8E4M3Types);
 
+TEST(FPDistanceTest, F8E3M4Distance) {
+  // a & b are equal
+  EXPECT_EQ(CalculateDistanceInFloats<tsl::float8_e3m4>(tsl::float8_e3m4(8.0),
+                                                        tsl::float8_e3m4(8.0)),
+            0);
+
+  // a & b have the same exponents
+  EXPECT_EQ(CalculateDistanceInFloats<tsl::float8_e3m4>(tsl::float8_e3m4(8.0),
+                                                        tsl::float8_e3m4(15.5)),
+            15);
+
+  // a & b have different exponents
+  EXPECT_EQ(CalculateDistanceInFloats<tsl::float8_e3m4>(tsl::float8_e3m4(8.0),
+                                                        tsl::float8_e3m4(6)),
+            8);
+
+  // 1 from 0 in the positive direction
+  EXPECT_EQ(CalculateDistanceInFloats<tsl::float8_e3m4>(
+                std::numeric_limits<tsl::float8_e3m4>::denorm_min(),
+                tsl::float8_e3m4(0)),
+            1);
+
+  // 1 from 0 in the negative direction
+  EXPECT_EQ(CalculateDistanceInFloats<tsl::float8_e3m4>(
+                -std::numeric_limits<tsl::float8_e3m4>::denorm_min(),
+                tsl::float8_e3m4(0)),
+            1);
+
+  // a & b have different signs
+  EXPECT_EQ(CalculateDistanceInFloats<tsl::float8_e3m4>(
+                -std::numeric_limits<tsl::float8_e3m4>::denorm_min(),
+                std::numeric_limits<tsl::float8_e3m4>::denorm_min()),
+            2);
+
+  // 1 non denorm from 0 in the positive direction
+  EXPECT_EQ(
+      CalculateDistanceInFloats<tsl::float8_e3m4>(
+          std::numeric_limits<tsl::float8_e3m4>::min(), tsl::float8_e3m4(0)),
+      16);
+
+  // 1 non denorm from 0 in the negative direction
+  EXPECT_EQ(
+      CalculateDistanceInFloats<tsl::float8_e3m4>(
+          -std::numeric_limits<tsl::float8_e3m4>::min(), tsl::float8_e3m4(0)),
+      16);
+
+  // a & b have different signs
+  EXPECT_EQ(CalculateDistanceInFloats<tsl::float8_e3m4>(
+                -std::numeric_limits<tsl::float8_e3m4>::min(),
+                std::numeric_limits<tsl::float8_e3m4>::min()),
+            32);
+}
+
 TYPED_TEST(FP8E4M3DistanceTest, F8E4M3Distance) {
   // a & b are equal, distance should be 0
   EXPECT_EQ(
       CalculateDistanceInFloats<TypeParam>(TypeParam(8.0), TypeParam(8.0)), 0);
 
   // a & b have the same exponents
-  EXPECT_EQ(CalculateDistanceInFloats<TypeParam>(TypeParam(8.0), TypeParam(13)),
-            5);
+  EXPECT_EQ(
+      CalculateDistanceInFloats<TypeParam>(TypeParam(8.0), TypeParam(15.0)), 7);
 
   // a & b have different exponents
   EXPECT_EQ(

xla/hlo/evaluator/hlo_evaluator_typed_visitor.h

@@ -1743,10 +1743,12 @@ extern template class HloEvaluatorTypedVisitor<complex64>;
 extern template class HloEvaluatorTypedVisitor<complex128>;
 extern template class HloEvaluatorTypedVisitor<bfloat16, float>;
 extern template class HloEvaluatorTypedVisitor<tsl::float8_e5m2, float>;
+extern template class HloEvaluatorTypedVisitor<tsl::float8_e4m3, float>;
 extern template class HloEvaluatorTypedVisitor<tsl::float8_e4m3fn, float>;
 extern template class HloEvaluatorTypedVisitor<tsl::float8_e4m3b11fnuz, float>;
 extern template class HloEvaluatorTypedVisitor<tsl::float8_e5m2fnuz, float>;
 extern template class HloEvaluatorTypedVisitor<tsl::float8_e4m3fnuz, float>;
+extern template class HloEvaluatorTypedVisitor<tsl::float8_e3m4, float>;
 
 }  // namespace xla
 

xla/hlo/evaluator/hlo_evaluator_typed_visitor_float8.cc

@@ -19,8 +19,10 @@ limitations under the License.
 
 namespace xla {
 template class HloEvaluatorTypedVisitor<tsl::float8_e5m2, float>;
+template class HloEvaluatorTypedVisitor<tsl::float8_e4m3, float>;
 template class HloEvaluatorTypedVisitor<tsl::float8_e4m3fn, float>;
 template class HloEvaluatorTypedVisitor<tsl::float8_e4m3b11fnuz, float>;
 template class HloEvaluatorTypedVisitor<tsl::float8_e5m2fnuz, float>;
 template class HloEvaluatorTypedVisitor<tsl::float8_e4m3fnuz, float>;
+template class HloEvaluatorTypedVisitor<tsl::float8_e3m4, float>;
 }  // namespace xla

xla/hlo/translate/hlo_to_mhlo/tests/import.hlo

@@ -410,11 +410,17 @@ add {
   // CHECK: %[[VAL_9:.*]] = mhlo.constant dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf8E4M3B11FNUZ>
   %constant.9 = f8e4m3b11fnuz[4] constant({1, 2, 3, 4})
 
-  // CHECK: %[[VAL_9:.*]] = mhlo.constant dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf8E4M3FNUZ>
+  // CHECK: %[[VAL_10:.*]] = mhlo.constant dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf8E4M3FNUZ>
   %constant.10 = f8e4m3fnuz[4] constant({1, 2, 3, 4})
 
-  // CHECK: %[[VAL_9:.*]] = mhlo.constant dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf8E5M2FNUZ>
+  // CHECK: %[[VAL_11:.*]] = mhlo.constant dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf8E5M2FNUZ>
   %constant.11 = f8e5m2fnuz[4] constant({1, 2, 3, 4})
+
+  // CHECK: %[[VAL_12:.*]] = mhlo.constant dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf8E4M3>
+  %constant.12 = f8e4m3[4] constant({1, 2, 3, 4})
+
+  // CHECK: %[[VAL_13:.*]] = mhlo.constant dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf8E3M4>
+  %constant.13 = f8e3m4[4] constant({1, 2, 3, 4})
 }
 
 // TODO(b/129422361) Potentially update when copy, reshape, and conv have actual
@@ -524,7 +530,19 @@ add {
   %convert.11 = f8e5m2fnuz[4] convert(f32[4] %convert.10)
 
   // CHECK-NEXT:  %9 = mhlo.convert %8 : (tensor<4xf8E5M2FNUZ>) -> tensor<4xf32>
-  ROOT %convert.12 = f32[4] convert(f8e5m2fnuz[4] %convert.11)
+  %convert.12 = f32[4] convert(f8e5m2fnuz[4] %convert.11)
+
+  // CHECK-NEXT:  %10 = mhlo.convert %9 : (tensor<4xf32>) -> tensor<4xf8E4M3>
+  %convert.13 = f8e4m3[4] convert(f32[4] %convert.12)
+
+  // CHECK-NEXT:  %11 = mhlo.convert %10 : (tensor<4xf8E4M3>) -> tensor<4xf32>
+  %convert.14 = f32[4] convert(f8e4m3[4] %convert.13)
+
+  // CHECK-NEXT:  %12 = mhlo.convert %11 : (tensor<4xf32>) -> tensor<4xf8E3M4>
+  %convert.15 = f8e3m4[4] convert(f32[4] %convert.14)
+
+  // CHECK-NEXT:  %13 = mhlo.convert %12 : (tensor<4xf8E3M4>) -> tensor<4xf32>
+  ROOT %convert.16 = f32[4] convert(f8e3m4[4] %convert.15)
 }
 
 // CHECK-LABEL:  func private @test_stochastic_convert(%arg0: tensor<4x3xf32>, %arg1: tensor<4x3xui32>) -> tensor<4x3xi8>

xla/hlo/translate/mhlo_to_hlo/tests/export.mlir

@@ -600,6 +600,12 @@ func.func @main() {
   // CHECK: f8e5m2fnuz[4] constant({1, 2, 3, 4})
   %cst_15 = arith.constant dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf8E5M2FNUZ>
 
+  // CHECK: f8e4m3[4] constant({1, 2, 3, 4})
+  %cst_16 = arith.constant dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf8E4M3>
+
+  // CHECK: f8e3m4[4] constant({1, 2, 3, 4})
+  %cst_17 = arith.constant dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf8E3M4>
+
   func.return
 }
 
@@ -729,7 +735,11 @@ func.func @main(%arg0: tensor<2xf32>) -> tensor<2xf32> {
   %5 = "mhlo.convert"(%4) : (tensor<2xf8E4M3FNUZ>) -> tensor<2xf32>
   %6 = "mhlo.convert"(%5) : (tensor<2xf32>) -> tensor<2xf8E5M2FNUZ>
   %7 = "mhlo.convert"(%6) : (tensor<2xf8E5M2FNUZ>) -> tensor<2xf32>
-  func.return %7 : tensor<2xf32>
+  %8 = "mhlo.convert"(%7) : (tensor<2xf32>) -> tensor<2xf8E4M3>
+  %9 = "mhlo.convert"(%8) : (tensor<2xf8E4M3>) -> tensor<2xf32>
+  %10 = "mhlo.convert"(%9) : (tensor<2xf32>) -> tensor<2xf8E3M4>
+  %11 = "mhlo.convert"(%10) : (tensor<2xf8E3M4>) -> tensor<2xf32>
+  func.return %11 : tensor<2xf32>
 }
 
 // CHECK:  ENTRY
@@ -741,7 +751,11 @@ func.func @main(%arg0: tensor<2xf32>) -> tensor<2xf32> {
 // CHECK:  %[[E4M3FNUZ_VAL:.*]] = f8e4m3fnuz[2] convert(f32[2] %[[F32_VAL2]])
 // CHECK:  %[[F32_VAL3:.*]] = f32[2] convert(f8e4m3fnuz[2] %[[E4M3FNUZ_VAL]])
 // CHECK:  %[[E5M2FNUZ_VAL:.*]] = f8e5m2fnuz[2] convert(f32[2] %[[F32_VAL3]])
-// CHECK:  ROOT %[[RESULT:.*]] = f32[2] convert(f8e5m2fnuz[2] %[[E5M2FNUZ_VAL]])
+// CHECK:  %[[F32_VAL4:.*]] = f32[2] convert(f8e5m2fnuz[2] %[[E5M2FNUZ_VAL]])
+// CHECK:  %[[E4M3_VAL:.*]] = f8e4m3[2] convert(f32[2] %[[F32_VAL4]])
+// CHECK:  %[[F32_VAL5:.*]] = f32[2] convert(f8e4m3[2] %[[E4M3_VAL]])
+// CHECK:  %[[E3M4_VAL:.*]] = f8e3m4[2] convert(f32[2] %[[F32_VAL5]])
+// CHECK:  ROOT %[[F32_VAL6:.*]] = f32[2] convert(f8e3m4[2] %[[E3M4_VAL]])
 
 // -----