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authorKazuaki Ishizaki <kiszk@users.noreply.github.com>2019-10-20 00:11:03 -0700
committerA. Unique TensorFlower <gardener@tensorflow.org>2019-10-20 00:11:34 -0700
commit8bfedb3ca599ccf3c507e721f4bf5e6a3b026f8c (patch)
treeda6308901341daa89423c3c956a74a881378d71b /mlir/lib/Dialect/SPIRV/Serialization/Serializer.cpp
parent8317bd85e5cccc8048cd1be1b3b17c19c953764d (diff)
downloadbcm5719-llvm-8bfedb3ca599ccf3c507e721f4bf5e6a3b026f8c.tar.gz
bcm5719-llvm-8bfedb3ca599ccf3c507e721f4bf5e6a3b026f8c.zip
Fix minor spelling tweaks (NFC)
Closes tensorflow/mlir#177 PiperOrigin-RevId: 275692653
Diffstat (limited to 'mlir/lib/Dialect/SPIRV/Serialization/Serializer.cpp')
-rw-r--r--mlir/lib/Dialect/SPIRV/Serialization/Serializer.cpp14
1 files changed, 7 insertions, 7 deletions
diff --git a/mlir/lib/Dialect/SPIRV/Serialization/Serializer.cpp b/mlir/lib/Dialect/SPIRV/Serialization/Serializer.cpp
index 58a33356f6e..241be2a4297 100644
--- a/mlir/lib/Dialect/SPIRV/Serialization/Serializer.cpp
+++ b/mlir/lib/Dialect/SPIRV/Serialization/Serializer.cpp
@@ -15,7 +15,7 @@
// limitations under the License.
// =============================================================================
//
-// This file defines the MLIR SPIR-V module to SPIR-V binary seralization.
+// This file defines the MLIR SPIR-V module to SPIR-V binary serialization.
//
//===----------------------------------------------------------------------===//
@@ -149,7 +149,7 @@ private:
template <typename DType>
LogicalResult processTypeDecoration(Location loc, DType type,
uint32_t resultId) {
- return emitError(loc, "unhandled decoraion for type:") << type;
+ return emitError(loc, "unhandled decoration for type:") << type;
}
/// Process member decoration
@@ -371,7 +371,7 @@ LogicalResult Serializer::serialize() {
processExtension();
processMemoryModel();
- // Iterate over the module body to serialze it. Assumptions are that there is
+ // Iterate over the module body to serialize it. Assumptions are that there is
// only one basic block in the moduleOp
for (auto &op : module.getBlock()) {
if (failed(processOperation(&op))) {
@@ -1073,7 +1073,7 @@ uint32_t Serializer::prepareConstantScalar(Location loc, Attribute valueAttr,
uint32_t Serializer::prepareConstantBool(Location loc, BoolAttr boolAttr,
bool isSpec) {
if (!isSpec) {
- // We can de-duplicate nomral contants, but not specialization constants.
+ // We can de-duplicate normal constants, but not specialization constants.
if (auto id = getConstantID(boolAttr)) {
return id;
}
@@ -1102,7 +1102,7 @@ uint32_t Serializer::prepareConstantBool(Location loc, BoolAttr boolAttr,
uint32_t Serializer::prepareConstantInt(Location loc, IntegerAttr intAttr,
bool isSpec) {
if (!isSpec) {
- // We can de-duplicate nomral contants, but not specialization constants.
+ // We can de-duplicate normal constants, but not specialization constants.
if (auto id = getConstantID(intAttr)) {
return id;
}
@@ -1168,7 +1168,7 @@ uint32_t Serializer::prepareConstantInt(Location loc, IntegerAttr intAttr,
uint32_t Serializer::prepareConstantFp(Location loc, FloatAttr floatAttr,
bool isSpec) {
if (!isSpec) {
- // We can de-duplicate nomral contants, but not specialization constants.
+ // We can de-duplicate normal constants, but not specialization constants.
if (auto id = getConstantID(floatAttr)) {
return id;
}
@@ -1549,7 +1549,7 @@ template <>
LogicalResult
Serializer::processOp<spirv::EntryPointOp>(spirv::EntryPointOp op) {
SmallVector<uint32_t, 4> operands;
- // Add the ExectionModel.
+ // Add the ExecutionModel.
operands.push_back(static_cast<uint32_t>(op.execution_model()));
// Add the function <id>.
auto funcID = getFunctionID(op.fn());
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