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Description
For the below IR at runtime we get the following error:
summary = 'InvalidArgument: InvalidArgument: Input argument 0 validation failed against corresponding function signature arg 0. Reason: InvalidArgument: Runtime stride mismatch. Expected [-9223372036854775808, 1] but received [0, 0]'
module @ins_t_outs_t251_t252_t253_t254_t255_20 {
func.func @main(%arg0: tensor<3x0xf32> {tensorrt.shape_profile = #tensorrt.shape_profile<min = [3, 0], opt = [3, 0], max = [3, 0]>}) -> (tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>) {
%c = stablehlo.constant dense<0> : tensor<1xi32>
%c_0 = stablehlo.constant dense<3> : tensor<i32>
%c_1 = stablehlo.constant dense<1> : tensor<1xi32>
%c_2 = stablehlo.constant dense<3> : tensor<1xi32>
%c_3 = stablehlo.constant dense<0> : tensor<i32>
%c_4 = stablehlo.constant dense<0> : tensor<1xi32>
%0 = stablehlo.concatenate %c_2, %c_4, dim = 0 : (tensor<1xi32>, tensor<1xi32>) -> tensor<2xi32>
%c_5 = stablehlo.constant dense<2> : tensor<1xi32>
%1 = stablehlo.real_dynamic_slice %0, %c_1, %c_5, %c_1 : (tensor<2xi32>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<?xi32>
%c_6 = stablehlo.constant dense<5> : tensor<1xi32>
%2 = stablehlo.divide %1, %c_6 : (tensor<?xi32>, tensor<1xi32>) -> tensor<1xi32>
%3 = stablehlo.multiply %2, %c : tensor<1xi32>
%4 = stablehlo.concatenate %c, %3, dim = 0 : (tensor<1xi32>, tensor<1xi32>) -> tensor<2xi32>
%5 = stablehlo.real_dynamic_slice %0, %c, %c_1, %c_1 : (tensor<2xi32>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<?xi32>
%6 = stablehlo.multiply %2, %c_1 : tensor<1xi32>
%7 = stablehlo.concatenate %5, %6, dim = 0 : (tensor<?xi32>, tensor<1xi32>) -> tensor<2xi32>
%8 = stablehlo.concatenate %c_1, %c_1, dim = 0 : (tensor<1xi32>, tensor<1xi32>) -> tensor<2xi32>
%9 = stablehlo.real_dynamic_slice %arg0, %4, %7, %8 : (tensor<3x0xf32>, tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) -> tensor<?x?xf32>
%10 = stablehlo.multiply %2, %c_1 : tensor<1xi32>
%11 = stablehlo.concatenate %c, %10, dim = 0 : (tensor<1xi32>, tensor<1xi32>) -> tensor<2xi32>
%12 = stablehlo.real_dynamic_slice %0, %c, %c_1, %c_1 : (tensor<2xi32>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<?xi32>
%13 = stablehlo.multiply %2, %c_5 : tensor<1xi32>
%14 = stablehlo.concatenate %12, %13, dim = 0 : (tensor<?xi32>, tensor<1xi32>) -> tensor<2xi32>
%15 = stablehlo.concatenate %c_1, %c_1, dim = 0 : (tensor<1xi32>, tensor<1xi32>) -> tensor<2xi32>
%16 = stablehlo.real_dynamic_slice %arg0, %11, %14, %15 : (tensor<3x0xf32>, tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) -> tensor<?x?xf32>
%17 = stablehlo.multiply %2, %c_5 : tensor<1xi32>
%18 = stablehlo.concatenate %c, %17, dim = 0 : (tensor<1xi32>, tensor<1xi32>) -> tensor<2xi32>
%19 = stablehlo.real_dynamic_slice %0, %c, %c_1, %c_1 : (tensor<2xi32>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<?xi32>
%c_7 = stablehlo.constant dense<3> : tensor<1xi32>
%20 = stablehlo.multiply %2, %c_7 : tensor<1xi32>
%21 = stablehlo.concatenate %19, %20, dim = 0 : (tensor<?xi32>, tensor<1xi32>) -> tensor<2xi32>
%22 = stablehlo.concatenate %c_1, %c_1, dim = 0 : (tensor<1xi32>, tensor<1xi32>) -> tensor<2xi32>
%23 = stablehlo.real_dynamic_slice %arg0, %18, %21, %22 : (tensor<3x0xf32>, tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) -> tensor<?x?xf32>
%24 = stablehlo.multiply %2, %c_7 : tensor<1xi32>
%25 = stablehlo.concatenate %c, %24, dim = 0 : (tensor<1xi32>, tensor<1xi32>) -> tensor<2xi32>
%26 = stablehlo.real_dynamic_slice %0, %c, %c_1, %c_1 : (tensor<2xi32>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<?xi32>
%c_8 = stablehlo.constant dense<4> : tensor<1xi32>
%27 = stablehlo.multiply %2, %c_8 : tensor<1xi32>
%28 = stablehlo.concatenate %26, %27, dim = 0 : (tensor<?xi32>, tensor<1xi32>) -> tensor<2xi32>
%29 = stablehlo.concatenate %c_1, %c_1, dim = 0 : (tensor<1xi32>, tensor<1xi32>) -> tensor<2xi32>
%30 = stablehlo.real_dynamic_slice %arg0, %25, %28, %29 : (tensor<3x0xf32>, tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) -> tensor<?x?xf32>
%31 = stablehlo.multiply %2, %c_8 : tensor<1xi32>
%32 = stablehlo.concatenate %c, %31, dim = 0 : (tensor<1xi32>, tensor<1xi32>) -> tensor<2xi32>
%33 = stablehlo.real_dynamic_slice %0, %c, %c_1, %c_1 : (tensor<2xi32>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<?xi32>
%34 = stablehlo.multiply %2, %c_6 : tensor<1xi32>
%35 = stablehlo.concatenate %33, %34, dim = 0 : (tensor<?xi32>, tensor<1xi32>) -> tensor<2xi32>
%36 = stablehlo.concatenate %c_1, %c_1, dim = 0 : (tensor<1xi32>, tensor<1xi32>) -> tensor<2xi32>
%37 = stablehlo.real_dynamic_slice %arg0, %32, %35, %36 : (tensor<3x0xf32>, tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) -> tensor<?x?xf32>
return %9, %16, %23, %30, %37 : tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>
}
}