diff --git a/lib/Dialect/Torch/IR/TorchOps.cpp b/lib/Dialect/Torch/IR/TorchOps.cpp
index 00ddce894..13e0952fe 100644
--- a/lib/Dialect/Torch/IR/TorchOps.cpp
+++ b/lib/Dialect/Torch/IR/TorchOps.cpp
@@ -674,7 +674,24 @@ OpFoldResult Torch::ConstantFloatOp::fold(ArrayRef<Attribute> operands) {
 
 void Torch::ConstantFloatOp::getAsmResultNames(
     function_ref<void(Value, StringRef)> setNameFn) {
-  setNameFn(getResult(), "float");
+  // Calculate a stringified version of the number, compatible with MLIR
+  // identifier syntax. (in practice, this just removes the '+' from 'e+' in
+  // float string representation).
+  SmallVector<char> buf;
+  value().toString(buf, /*FormatPrecision=*/6, /*FormatMaxPadding=*/0,
+                   /*TruncateZero=*/false);
+  auto isValidMLIRIdentifierChar = [](char c) {
+    return isalpha(c) || isdigit(c) || c == '_' || c == '$' || c == '.' ||
+           c == '-';
+  };
+  auto numberStr = llvm::to_vector<16>(
+      llvm::make_filter_range(buf, isValidMLIRIdentifierChar));
+
+  // Construct the identifier string.
+  buf.clear();
+  llvm::append_range(buf, StringRef("float"));
+  llvm::append_range(buf, numberStr);
+  setNameFn(getResult(), StringRef(buf.data(), buf.size()));
 }
 
 //===----------------------------------------------------------------------===//
diff --git a/test/Dialect/Torch/ops.mlir b/test/Dialect/Torch/ops.mlir
index a1074ab55..e718e84e4 100644
--- a/test/Dialect/Torch/ops.mlir
+++ b/test/Dialect/Torch/ops.mlir
@@ -84,10 +84,23 @@ func @torch.prim.If(%arg0: !torch.bool, %arg1: !torch.int) -> !torch.int {
 %true = torch.constant.bool true
 // CHECK: %false = torch.constant.bool false
 %false = torch.constant.bool false
+
 // CHECK: %int3 = torch.constant.int 3
 %int3 = torch.constant.int 3
-// CHECK: %float = torch.constant.float 4.250000e+01
-%float = torch.constant.float 4.250000e+01
+// CHECK: %int-3 = torch.constant.int -3
+%int-3 = torch.constant.int -3
+
+// CHECK: %float1.000000e00 = torch.constant.float 1.000000e+00
+%float1.000000e00 = torch.constant.float 1.000000e+00
+// CHECK: %float-1.000000e00 = torch.constant.float -1.000000e+00
+%float-1.000000e00 = torch.constant.float -1.000000e+00
+// CHECK: %float1.000000e-10 = torch.constant.float 1.000000e-10
+%float1.000000e-10 = torch.constant.float 1.000000e-10
+// CHECK: %float1.000000e10 = torch.constant.float 1.000000e+10
+%float1.000000e10 = torch.constant.float 1.000000e+10
+// CHECK: %float4.250000e01 = torch.constant.float 4.250000e+01
+%float4.250000e01 = torch.constant.float 4.250000e+01
+
 %tensor = torch.tensor.literal(dense<1.000000e+00> : tensor<1xf32>) : !torch.tensor
 // CHECK: %none = torch.constant.none
 %none = torch.constant.none
@@ -113,7 +126,7 @@ torch.class_type @test {
 torch.nn_module {
   torch.slot "b", %true : !torch.bool
   torch.slot "i", %int3 : !torch.int
-  torch.slot "f", %float : !torch.float
+  torch.slot "f", %float1.000000e00 : !torch.float
   torch.slot "t", %tensor : !torch.tensor
   torch.slot "submodule", %submodule : !torch.nn.Module<"empty">
   torch.slot "ob", %none : !torch.none