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1// RUN: mlir-opt %s --test-shape-function-report -verify-diagnostics2 3module attributes {shape.lib = [@shape_lib]} {4 5// expected-remark@+1 {{associated shape function: same_result_shape}}6func.func @tanh(%arg: tensor<10x20xf32>) -> tensor<10x20xf32>7 attributes {shape.function = @shape_lib::@same_result_shape} {8 // expected-remark@+1 {{implements InferType op interface}}9 %0 = math.tanh %arg : tensor<10x20xf32>10 // expected-remark@+1 {{implements InferType op interface}}11 %1 = "test.same_operand_result_type"(%0) : (tensor<10x20xf32>) -> tensor<10x20xf32>12 return %1 : tensor<10x20xf32>13}14 15// The shape function library with some local functions.16shape.function_library @shape_lib {17 // Test shape function that returns the shape of input arg as result shape.18 func @same_result_shape(%arg: !shape.value_shape) -> !shape.shape {19 %0 = shape_of %arg : !shape.value_shape -> !shape.shape20 return %0 : !shape.shape21 }22} mapping {23 test.same_operand_result_type = @same_result_shape24}25 26}27