diff --git a/mlir/lib/Conversion/LinalgToLLVM/LinalgToLLVM.cpp b/mlir/lib/Conversion/LinalgToLLVM/LinalgToLLVM.cpp
--- a/mlir/lib/Conversion/LinalgToLLVM/LinalgToLLVM.cpp
+++ b/mlir/lib/Conversion/LinalgToLLVM/LinalgToLLVM.cpp
@@ -161,6 +161,49 @@
   }
 };
 
+// ReshapeOp creates a new view descriptor of the proper rank.
+// For now, the only conversion supported is for target MemRef with static sizes
+// and strides.
+class ReshapeOpConversion : public LLVMOpLowering {
+public:
+  explicit ReshapeOpConversion(MLIRContext *context,
+                               LLVMTypeConverter &lowering_)
+      : LLVMOpLowering(ReshapeOp::getOperationName(), context, lowering_) {}
+
+  PatternMatchResult
+  matchAndRewrite(Operation *op, ArrayRef<Value> operands,
+                  ConversionPatternRewriter &rewriter) const override {
+    auto reshapeOp = cast<ReshapeOp>(op);
+    MemRefType dstType = reshapeOp.getResult().getType().cast<MemRefType>();
+
+    op->dump();
+    if (!dstType.hasStaticShape())
+      return matchFailure();
+
+    int64_t offset;
+    SmallVector<int64_t, 4> strides;
+    auto res = getStridesAndOffset(dstType, strides, offset);
+    if (failed(res) || llvm::any_of(strides, [](int64_t val) {
+          return ShapedType::isDynamicStrideOrOffset(val);
+        }))
+      return matchFailure();
+
+    edsc::ScopedContext context(rewriter, op->getLoc());
+    ReshapeOpOperandAdaptor adaptor(operands);
+    BaseViewConversionHelper baseDesc(adaptor.view());
+    BaseViewConversionHelper desc(lowering.convertType(dstType));
+    desc.setAllocatedPtr(baseDesc.allocatedPtr());
+    desc.setAlignedPtr(baseDesc.alignedPtr());
+    desc.setOffset(baseDesc.offset());
+    for (auto en : llvm::enumerate(dstType.getShape()))
+      desc.setSize(en.index(), constant_index(en.value()));
+    for (auto en : llvm::enumerate(strides))
+      desc.setStride(en.index(), constant_index(en.value()));
+    rewriter.replaceOp(op, {desc});
+    return matchSuccess();
+  }
+};
+
 /// Conversion pattern that transforms a linalg.slice op into:
 ///   1. A function entry `alloca` operation to allocate a ViewDescriptor.
 ///   2. A load of the ViewDescriptor from the pointer allocated in 1.
@@ -508,8 +551,8 @@
 void mlir::populateLinalgToLLVMConversionPatterns(
     LinalgTypeConverter &converter, OwningRewritePatternList &patterns,
     MLIRContext *ctx) {
-  patterns.insert<RangeOpConversion, SliceOpConversion, TransposeOpConversion,
-                  YieldOpConversion>(ctx, converter);
+  patterns.insert<RangeOpConversion, ReshapeOpConversion, SliceOpConversion,
+                  TransposeOpConversion, YieldOpConversion>(ctx, converter);
 }
 
 namespace {
diff --git a/mlir/test/Dialect/Linalg/llvm.mlir b/mlir/test/Dialect/Linalg/llvm.mlir
--- a/mlir/test/Dialect/Linalg/llvm.mlir
+++ b/mlir/test/Dialect/Linalg/llvm.mlir
@@ -196,3 +196,63 @@
 // CHECK-LABEL: func @matmul_vec_indexed(
 //   CHECK: %[[ZERO:.*]] = llvm.mlir.constant(0 : index) : !llvm.i64
 //   CHECK: llvm.call @external_indexed_outerproduct_matmul(%[[ZERO]], %[[ZERO]], %[[ZERO]], %{{.*}}, %{{.*}}, %{{.*}}) : (!llvm.i64, !llvm.i64, !llvm.i64, !llvm<"{ <4 x float>*, <4 x float>*, i64, [2 x i64], [2 x i64] }*">, !llvm<"{ <4 x float>*, <4 x float>*, i64, [2 x i64], [2 x i64] }*">, !llvm<"{ [4 x <4 x float>]*, [4 x <4 x float>]*, i64, [2 x i64], [2 x i64] }*">) -> ()
+
+func @reshape_static(%arg0: memref<3x4x5xf32>) {
+  // Reshapes that expand and collapse back a contiguous tensor with some 1's.
+  %0 = linalg.reshape %arg0 [(i, j, k, l, m) -> (i, j),
+                             (i, j, k, l, m) -> (k),
+                             (i, j, k, l, m) -> (l, m)] :
+    memref<3x4x5xf32> into memref<1x3x4x1x5xf32>
+  %r0 = linalg.reshape %0 [(i, j, k, l, m) -> (i, j),
+                           (i, j, k, l, m) -> (k),
+                           (i, j, k, l, m) -> (l, m)] :
+    memref<1x3x4x1x5xf32> into memref<3x4x5xf32>
+  return
+}
+// CHECK-LABEL: func @reshape_static(
+//       CHECK: llvm.mlir.undef : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.extractvalue {{.*}}[0] : !llvm<"{ float*, float*, i64, [3 x i64], [3 x i64] }">
+//       CHECK: llvm.insertvalue {{.*}}[0] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.extractvalue {{.*}}[1] : !llvm<"{ float*, float*, i64, [3 x i64], [3 x i64] }">
+//       CHECK: llvm.insertvalue {{.*}}[1] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.extractvalue {{.*}}[2] : !llvm<"{ float*, float*, i64, [3 x i64], [3 x i64] }">
+//       CHECK: llvm.insertvalue {{.*}}[2] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.mlir.constant(1 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[3, 0] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.mlir.constant(3 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[3, 1] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.mlir.constant(4 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[3, 2] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.mlir.constant(1 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[3, 3] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.mlir.constant(5 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[3, 4] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.mlir.constant(60 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[4, 0] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.mlir.constant(20 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[4, 1] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.mlir.constant(5 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[4, 2] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.mlir.constant(5 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[4, 3] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.mlir.constant(1 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[4, 4] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.mlir.undef : !llvm<"{ float*, float*, i64, [3 x i64], [3 x i64] }">
+//       CHECK: llvm.extractvalue {{.*}}[0] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.insertvalue {{.*}}[0] : !llvm<"{ float*, float*, i64, [3 x i64], [3 x i64] }">
+//       CHECK: llvm.extractvalue {{.*}}[1] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.insertvalue {{.*}}[1] : !llvm<"{ float*, float*, i64, [3 x i64], [3 x i64] }">
+//       CHECK: llvm.extractvalue {{.*}}[2] : !llvm<"{ float*, float*, i64, [5 x i64], [5 x i64] }">
+//       CHECK: llvm.insertvalue {{.*}}[2] : !llvm<"{ float*, float*, i64, [3 x i64], [3 x i64] }">
+//       CHECK: llvm.mlir.constant(3 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[3, 0] : !llvm<"{ float*, float*, i64, [3 x i64], [3 x i64] }">
+//       CHECK: llvm.mlir.constant(4 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[3, 1] : !llvm<"{ float*, float*, i64, [3 x i64], [3 x i64] }">
+//       CHECK: llvm.mlir.constant(5 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[3, 2] : !llvm<"{ float*, float*, i64, [3 x i64], [3 x i64] }">
+//       CHECK: llvm.mlir.constant(20 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[4, 0] : !llvm<"{ float*, float*, i64, [3 x i64], [3 x i64] }">
+//       CHECK: llvm.mlir.constant(5 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[4, 1] : !llvm<"{ float*, float*, i64, [3 x i64], [3 x i64] }">
+//       CHECK: llvm.mlir.constant(1 : index) : !llvm.i64
+//       CHECK: llvm.insertvalue {{.*}}[4, 2] : !llvm<"{ float*, float*, i64, [3 x i64], [3 x i64] }">