[Mlir-commits] [mlir] 4db5245 - [mlir][sparse] remove redundant whitespace

[Aart Bik]

Author: Aart Bik
Date: 2022-06-27T11:57:08-07:00
New Revision: 4db52450c1a444ccb5c0c27b631e06b4902c0300

URL: https://github.com/llvm/llvm-project/commit/4db52450c1a444ccb5c0c27b631e06b4902c0300
DIFF: https://github.com/llvm/llvm-project/commit/4db52450c1a444ccb5c0c27b631e06b4902c0300.diff

LOG: [mlir][sparse] remove redundant whitespace

Reviewed By: Peiming

Differential Revision: https://reviews.llvm.org/D128673

Added: 
    

Modified: 
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_binary.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_unary.mlir

Removed: 
    


################################################################################
diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_binary.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_binary.mlir
index a8c96e0e9718..cb6b47a15fd3 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_binary.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_binary.mlir
@@ -212,7 +212,7 @@ module {
       } -> tensor<4x4xf64, #DCSR>
     return %0 : tensor<4x4xf64, #DCSR>
   }
-  
+
   // Performs triangular add/sub operation (using semi-ring binary op).
   func.func @triangular(%A: tensor<4x4xf64, #DCSR>,
                         %B: tensor<4x4xf64, #DCSR>) -> tensor<4x4xf64, #DCSR> {
@@ -253,7 +253,7 @@ module {
     // Defines out-block constant bounds.
     %thres_out_up = arith.constant 2.0 : f64
     %thres_out_lo = arith.constant -2.0 : f64
-    
+
     %0 = linalg.generic #trait_mat_op
       ins(%A, %B: tensor<4x4xf64, #DCSR>,
                   tensor<4x4xf64, #DCSR>)
@@ -288,7 +288,7 @@ module {
                 %tmp = arith.select %cmp, %thres_out_up, %ny : f64
                 %cmp1 = arith.cmpf "ole", %tmp, %thres_out_lo : f64
                 %ret = arith.select %cmp1, %thres_out_lo, %tmp : f64
-                sparse_tensor.yield %ret : f64          
+                sparse_tensor.yield %ret : f64
             }
           linalg.yield %result : f64
       } -> tensor<4x4xf64, #DCSR>
@@ -339,7 +339,7 @@ module {
       } -> tensor<4x4xf64, #DCSR>
     return %0 : tensor<4x4xf64, #DCSR>
   }
-  
+
   //
   // Utility functions to dump the value of a tensor.
   //
@@ -395,11 +395,11 @@ module {
     %m = bufferization.to_memref %c : memref<4x4xf64>
     %v = vector.transfer_read %m[%c0, %c0], %du: memref<4x4xf64>, vector<4x4xf64>
     vector.print %v : vector<4x4xf64>
-    
+
     %1 = sparse_tensor.values %A : tensor<4x4xf64, #DCSR> to memref<?xf64>
     %2 = vector.transfer_read %1[%c0], %du: memref<?xf64>, vector<16xf64>
     vector.print %2 : vector<16xf64>
-    
+
     // Release the resources.
     memref.dealloc %m : memref<4x4xf64>
     return
@@ -413,16 +413,16 @@ module {
     %m = bufferization.to_memref %c : memref<4x4xi8>
     %v = vector.transfer_read %m[%c0, %c0], %du: memref<4x4xi8>, vector<4x4xi8>
     vector.print %v : vector<4x4xi8>
-    
+
     %1 = sparse_tensor.values %A : tensor<4x4xi8, #DCSR> to memref<?xi8>
     %2 = vector.transfer_read %1[%c0], %du: memref<?xi8>, vector<16xi8>
     vector.print %2 : vector<16xi8>
-    
+
     // Release the resources.
     memref.dealloc %m : memref<4x4xi8>
     return
   }
-  
+
   // Driver method to call and verify kernels.
   func.func @entry() {
     %c0 = arith.constant 0 : index
@@ -489,7 +489,7 @@ module {
     %6 = call @add_tensor_1(%sm3, %sm4)
       : (tensor<4x4xf64, #DCSR>, tensor<4x4xf64, #DCSR>) -> tensor<4x4xf64, #DCSR>
     %7 = call @add_tensor_2(%sm3, %sm4)
-      : (tensor<4x4xf64, #DCSR>, tensor<4x4xf64, #DCSR>) -> tensor<4x4xf64, #DCSR>    
+      : (tensor<4x4xf64, #DCSR>, tensor<4x4xf64, #DCSR>) -> tensor<4x4xf64, #DCSR>
     %8 = call @triangular(%sm3, %sm4)
       : (tensor<4x4xf64, #DCSR>, tensor<4x4xf64, #DCSR>) -> tensor<4x4xf64, #DCSR>
     %9 = call @sub_with_thres(%sm3, %sm4)
@@ -541,7 +541,7 @@ module {
     call @dump_mat_4x4(%9) : (tensor<4x4xf64, #DCSR>) -> ()
     call @dump_mat_4x4_i8(%10) : (tensor<4x4xi8, #DCSR>) -> ()
     call @dump_mat_4x4(%11) : (tensor<4x4xf64, #DCSR>) -> ()
-    
+
     // Release the resources.
     sparse_tensor.release %sv1 : tensor<?xf64, #SparseVector>
     sparse_tensor.release %sv2 : tensor<?xf64, #SparseVector>

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_unary.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_unary.mlir
index e28f5f316ad7..af794da47b82 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_unary.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_unary.mlir
@@ -89,7 +89,7 @@ module {
                 %ret = arith.mulf %x0, %idxf : f64
                 sparse_tensor.yield %ret : f64
             }
-            absent={} 
+            absent={}
           linalg.yield %1 : f64
     } -> tensor<?xf64, #SparseVector>
     return %0 : tensor<?xf64, #SparseVector>
@@ -155,7 +155,6 @@ module {
     } -> tensor<?x?xf64, #DCSR>
     return %0 : tensor<?x?xf64, #DCSR>
   }
-  
 
   // Dumps a sparse vector of type f64.
   func.func @dump_vec_f64(%arg0: tensor<?xf64, #SparseVector>) {
@@ -231,7 +230,6 @@ module {
        : (tensor<?xf64, #SparseVector>) -> tensor<?xf64, #SparseVector>
     %2 = call @vector_magnify(%sv1)
        : (tensor<?xf64, #SparseVector>) -> tensor<?xf64, #SparseVector>
-    
 
     // Call sparse matrix kernels.
     %3 = call @matrix_clip(%sm1)
@@ -261,7 +259,7 @@ module {
     call @dump_vec_f64(%2) : (tensor<?xf64, #SparseVector>) -> ()
     call @dump_mat(%3) : (tensor<?x?xf64, #DCSR>) -> ()
     call @dump_mat(%4) : (tensor<?x?xf64, #DCSR>) -> ()
-    
+
     // Release the resources.
     sparse_tensor.release %sv1 : tensor<?xf64, #SparseVector>
     sparse_tensor.release %sm1 : tensor<?x?xf64, #DCSR>