Integrate LLVM at https://github.com/llvm/llvm-project/commit/305b500eaf8c
PiperOrigin-RevId: 320395881
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@ -110,7 +110,7 @@ func @batchNormInference_dynamic_shape(
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// CHECK-DAG: %[[EPS:.+]] = mhlo.constant dense<1.000000e-03> : tensor<f32>
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// CHECK-DAG: %[[DIM:.+]] = dim %[[VARIANCE]], %[[C0]] : tensor<?xf32>
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// CHECK-DAG: %[[TO_DIM_TENSOR:.+]] = tensor_from_elements(%[[DIM]]) : tensor<1xindex>
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// CHECK-DAG: %[[EPS_BCAST:.+]] = "mhlo.dynamic_broadcast_in_dim"(%[[EPS]], %[[TO_DIM_TENSOR]]) {broadcast_dimensions = dense<[]> : tensor<0xi64>} : (tensor<f32>, tensor<1xindex>) -> tensor<?xf32>
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// CHECK-DAG: %[[EPS_BCAST:.+]] = "mhlo.dynamic_broadcast_in_dim"(%[[EPS]], %[[TO_DIM_TENSOR]]) {broadcast_dimensions = dense<> : tensor<0xi64>} : (tensor<f32>, tensor<1xindex>) -> tensor<?xf32>
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// CHECK-DAG: %[[VARIANCE_EPS:.+]] = mhlo.add %[[VARIANCE]], %[[EPS_BCAST]] : tensor<?xf32>
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// CHECK-DAG: %[[STDDEV:.+]] = "mhlo.sqrt"(%[[VARIANCE_EPS]]) : (tensor<?xf32>) -> tensor<?xf32>
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// CHECK-DAG: %[[INPUT_DIM_0:.+]] = dim %[[X]], %[[C0]] : tensor<?x?x?x?xf32>
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