Canonicalize MHLO Case and If Ops with constant conditions
ReplaceOpWithRegion was taken directly from ScfOps. We should maybe put that somewhere common in core. PiperOrigin-RevId: 365936724
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@ -549,6 +549,8 @@ def HLO_IfOp: HLO_Op<"if", [
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// TODO(b/129422361): ConditionalOp has special conversion logic to HLO.
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// TODO(b/129422361): ConditionalOp has special conversion logic to HLO.
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let hasCustomHLOConverter = 1;
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let hasCustomHLOConverter = 1;
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let hasCanonicalizer = 1;
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}
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}
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// Xla Client API has two separate calls for indexed and predicated conditional,
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// Xla Client API has two separate calls for indexed and predicated conditional,
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@ -569,6 +571,8 @@ def HLO_CaseOp: HLO_Op<"case", [
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let results = (outs Variadic<HLO_TensorOrTuple>);
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let results = (outs Variadic<HLO_TensorOrTuple>);
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let hasCustomHLOConverter = 1;
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let hasCustomHLOConverter = 1;
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let hasCanonicalizer = 1;
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}
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}
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@ -45,6 +45,7 @@ limitations under the License.
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#include "mlir/Dialect/Tensor/IR/Tensor.h"
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#include "mlir/Dialect/Tensor/IR/Tensor.h"
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#include "mlir/IR/Attributes.h"
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#include "mlir/IR/Attributes.h"
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#include "mlir/IR/Builders.h"
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#include "mlir/IR/Builders.h"
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#include "mlir/IR/BuiltinAttributes.h"
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#include "mlir/IR/BuiltinTypes.h"
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#include "mlir/IR/BuiltinTypes.h"
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#include "mlir/IR/Dialect.h"
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#include "mlir/IR/Dialect.h"
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#include "mlir/IR/Location.h"
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#include "mlir/IR/Location.h"
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@ -131,6 +132,19 @@ DenseIntElementsAttr BuildSliceLimits(DenseIntElementsAttr start_indices,
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return GetI64ElementsAttr(slice_limits, builder);
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return GetI64ElementsAttr(slice_limits, builder);
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}
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}
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/// Replaces the given op with the contents of the given single-block region,
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/// using the operands of the block terminator to replace operation results.
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static void ReplaceOpWithRegion(PatternRewriter& rewriter, Operation* op,
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Region& region, ValueRange blockArgs = {}) {
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assert(llvm::hasSingleElement(region) && "expected single-block region");
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Block* block = ®ion.front();
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Operation* terminator = block->getTerminator();
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ValueRange results = terminator->getOperands();
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rewriter.mergeBlockBefore(block, op, blockArgs);
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rewriter.replaceOp(op, results);
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rewriter.eraseOp(terminator);
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}
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#include "mhlo_canonicalize.inc"
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#include "mhlo_canonicalize.inc"
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} // namespace
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} // namespace
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@ -2129,6 +2143,24 @@ static LogicalResult Verify(IfOp op) {
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return success();
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return success();
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}
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}
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static LogicalResult InlineIfConstantCondition(IfOp ifOp,
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PatternRewriter& rewriter) {
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DenseIntElementsAttr pred_attr;
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if (!matchPattern(ifOp.pred(), m_Constant(&pred_attr))) return failure();
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if (pred_attr.getSplatValue<BoolAttr>().getValue()) {
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ReplaceOpWithRegion(rewriter, ifOp, ifOp.true_branch(), ifOp.true_arg());
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} else {
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ReplaceOpWithRegion(rewriter, ifOp, ifOp.false_branch(), ifOp.false_arg());
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}
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return success();
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}
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void IfOp::getCanonicalizationPatterns(OwningRewritePatternList& results,
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MLIRContext* context) {
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results.add(&InlineIfConstantCondition);
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}
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//===----------------------------------------------------------------------===//
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//===----------------------------------------------------------------------===//
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// Case Op
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// Case Op
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//===----------------------------------------------------------------------===//
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//===----------------------------------------------------------------------===//
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@ -2150,6 +2182,31 @@ static LogicalResult Verify(CaseOp op) {
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return success();
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return success();
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}
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}
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static LogicalResult InlineCaseConstantCondition(CaseOp caseOp,
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PatternRewriter& rewriter) {
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DenseIntElementsAttr index_attr;
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if (!matchPattern(caseOp.index(), m_Constant(&index_attr))) {
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return failure();
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}
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int64_t index =
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index_attr.getSplatValue<IntegerAttr>().getValue().getSExtValue();
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// For an OOB index, the last branch is executed as the default branch:
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// https://www.tensorflow.org/xla/operation_semantics#conditional
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if (index < 0 || index >= caseOp.getNumRegions())
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index = caseOp.getNumRegions() - 1;
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Region& region = caseOp.getRegion(index);
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if (!llvm::hasSingleElement(region)) return failure();
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ReplaceOpWithRegion(rewriter, caseOp, region,
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caseOp.branch_operands()[index]);
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return success();
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}
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void CaseOp::getCanonicalizationPatterns(OwningRewritePatternList& results,
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MLIRContext* context) {
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results.add(&InlineCaseConstantCondition);
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}
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//===----------------------------------------------------------------------===//
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//===----------------------------------------------------------------------===//
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// SqrtOp
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// SqrtOp
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//===----------------------------------------------------------------------===//
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//===----------------------------------------------------------------------===//
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@ -1280,6 +1280,108 @@ func @not_fold_sqrt_neg_constants() -> tensor<4xf32> {
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return %1 : tensor<4xf32>
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return %1 : tensor<4xf32>
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}
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}
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// CHECK-LABEL: func @fold_if_true(
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// CHECK-SAME: %[[ARG0:[a-zA-Z0-9_]+]]
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// CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]]
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// CHECK-SAME: )
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func @fold_if_true(%arg0 : tensor<f32>, %arg1 : tensor<f32>) -> tensor<f32> {
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// CHECK-NOT: mhlo.if
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// CHECK: return %[[ARG0]]
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%true = mhlo.constant dense<true> : tensor<i1>
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%0 = "mhlo.if"(%true, %arg0, %arg1) ( {
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^bb0(%bbarg0: tensor<f32>):
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"mhlo.return"(%bbarg0) : (tensor<f32>) -> ()
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}, {
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^bb0(%bbarg1: tensor<f32>):
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"mhlo.return"(%bbarg1) : (tensor<f32>) -> ()
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}) : (tensor<i1>, tensor<f32>, tensor<f32>) -> tensor<f32>
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return %0 : tensor<f32>
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}
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// CHECK-LABEL: func @fold_if_false(
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// CHECK-SAME: %[[ARG0:[a-zA-Z0-9_]+]]
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// CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]]
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// CHECK-SAME: )
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func @fold_if_false(%arg0 : tensor<f32>, %arg1 : tensor<f32>) -> tensor<f32> {
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// CHECK-NOT: mhlo.if
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// CHECK: return %[[ARG1]]
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%false = mhlo.constant dense<false> : tensor<i1>
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%0 = "mhlo.if"(%false, %arg0, %arg1) ( {
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^bb0(%bbarg0: tensor<f32>):
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"mhlo.return"(%bbarg0) : (tensor<f32>) -> ()
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}, {
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^bb0(%bbarg1: tensor<f32>):
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"mhlo.return"(%bbarg1) : (tensor<f32>) -> ()
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}) : (tensor<i1>, tensor<f32>, tensor<f32>) -> tensor<f32>
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return %0 : tensor<f32>
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}
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// CHECK-LABEL: func @fold_case(
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// CHECK-SAME: %[[ARG0:[a-zA-Z0-9_]+]]
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// CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]]
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// CHECK-SAME: %[[ARG2:[a-zA-Z0-9_]+]]
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// CHECK-SAME: )
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func @fold_case(%arg0 : tensor<f32>, %arg1 : tensor<f32>, %arg2 : tensor<f32>) -> tensor<f32> {
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// CHECK-NOT: mhlo.case
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// CHECK: return %[[ARG1]]
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%c1 = mhlo.constant dense<1> : tensor<i32>
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%0 = "mhlo.case"(%c1, %arg0, %arg1, %arg2) ( {
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^bb0(%bbarg0: tensor<f32>):
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"mhlo.return"(%bbarg0) : (tensor<f32>) -> ()
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}, {
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^bb0(%bbarg1: tensor<f32>):
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"mhlo.return"(%bbarg1) : (tensor<f32>) -> ()
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}, {
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^bb0(%bbarg2: tensor<f32>):
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"mhlo.return"(%bbarg2) : (tensor<f32>) -> ()
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}) : (tensor<i32>, tensor<f32>, tensor<f32>, tensor<f32>) -> tensor<f32>
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return %0 : tensor<f32>
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}
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// CHECK-LABEL: func @fold_case_negative_index(
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// CHECK-SAME: %[[ARG0:[a-zA-Z0-9_]+]]
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// CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]]
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// CHECK-SAME: %[[ARG2:[a-zA-Z0-9_]+]]
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// CHECK-SAME: )
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func @fold_case_negative_index(%arg0 : tensor<f32>, %arg1 : tensor<f32>, %arg2 : tensor<f32>) -> tensor<f32> {
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// CHECK-NOT: mhlo.case
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// CHECK: return %[[ARG2]]
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%m1000 = mhlo.constant dense<-1000> : tensor<i32>
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%0 = "mhlo.case"(%m1000, %arg0, %arg1, %arg2) ( {
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^bb0(%bbarg0: tensor<f32>):
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"mhlo.return"(%bbarg0) : (tensor<f32>) -> ()
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}, {
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^bb0(%bbarg1: tensor<f32>):
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"mhlo.return"(%bbarg1) : (tensor<f32>) -> ()
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}, {
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^bb0(%bbarg2: tensor<f32>):
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"mhlo.return"(%bbarg2) : (tensor<f32>) -> ()
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}) : (tensor<i32>, tensor<f32>, tensor<f32>, tensor<f32>) -> tensor<f32>
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return %0 : tensor<f32>
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}
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// CHECK-LABEL: func @fold_case_oob_index(
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// CHECK-SAME: %[[ARG0:[a-zA-Z0-9_]+]]
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// CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]]
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// CHECK-SAME: %[[ARG2:[a-zA-Z0-9_]+]]
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// CHECK-SAME: )
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func @fold_case_oob_index(%arg0 : tensor<f32>, %arg1 : tensor<f32>, %arg2 : tensor<f32>) -> tensor<f32> {
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// CHECK-NOT: mhlo.case
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// CHECK: return %[[ARG2]]
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%c1000 = mhlo.constant dense<1000> : tensor<i32>
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%0 = "mhlo.case"(%c1000, %arg0, %arg1, %arg2) ( {
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^bb0(%bbarg0: tensor<f32>):
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"mhlo.return"(%bbarg0) : (tensor<f32>) -> ()
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}, {
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^bb0(%bbarg1: tensor<f32>):
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"mhlo.return"(%bbarg1) : (tensor<f32>) -> ()
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}, {
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^bb0(%bbarg2: tensor<f32>):
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"mhlo.return"(%bbarg2) : (tensor<f32>) -> ()
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}) : (tensor<i32>, tensor<f32>, tensor<f32>, tensor<f32>) -> tensor<f32>
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return %0 : tensor<f32>
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}
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// CHECK-LABEL: @tensor_flow_scatter_v1_update
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// CHECK-LABEL: @tensor_flow_scatter_v1_update
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func @tensor_flow_scatter_v1_update() -> tensor<3x3xi32> {
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func @tensor_flow_scatter_v1_update() -> tensor<3x3xi32> {
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%0 = constant dense<[[1, 2, 3], [4, 5, 6], [7, 8, 9]]> : tensor<3x3xi32>
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%0 = constant dense<[[1, 2, 3], [4, 5, 6], [7, 8, 9]]> : tensor<3x3xi32>
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