Stable HLO runtime tests

[mmanzoorTT]

Requires #1164

[ddilbazTT]

concat tests fail because it does not support f64. We can replace f64 with f32. The following worked for me:

// REQUIRES: stablehlo
// RUN: rm -rf %t.ttnn
// RUN: ttmlir-opt --stablehlo-to-ttir-pipeline %s | \
// RUN:     ttmlir-opt --ttir-to-ttnn-backend-pipeline="system-desc-path=%system_desc_path%" | \
// RUN:     ttmlir-translate --ttnn-to-flatbuffer > %t.ttnn

module @jit_concat attributes {} {
  func.func public @test_concat(%arg0: tensor<32x32xf32>, %arg1: tensor<32x64xf32>) -> tensor<32x96xf32> {
    %0 = "stablehlo.concatenate"(%arg0, %arg1) {
    dimension = 1 : i64
    } : (tensor<32x32xf32>, tensor<32x64xf32>) -> tensor<32x96xf32>
    return %0 : tensor<32x96xf32>
  }
  func.func public @test_concat_2(%arg0: tensor<3x2xi64>, %arg1: tensor<1x2xi64>) -> tensor<4x2xi64> {
    %0 = "stablehlo.concatenate"(%arg0, %arg1) {
    dimension = 0 : i64
    } : (tensor<3x2xi64>, tensor<1x2xi64>) -> tensor<4x2xi64>
    return %0 : tensor<4x2xi64>
  }
  func.func public @test_concat_3(%arg0: tensor<4x3xf32>, %arg1: tensor<4x5xf32>) -> tensor<4x8xf32> {
    %0 = "stablehlo.concatenate"(%arg0, %arg1) {
    dimension = 1 : i64
    } : (tensor<4x3xf32>, tensor<4x5xf32>) -> tensor<4x8xf32>
    return %0 : tensor<4x8xf32>
  }
  func.func public @test_concat_4(%arg0: tensor<128x64xf32>, %arg1: tensor<128x96xf32>) -> tensor<128x160xf32> {
    %0 = "stablehlo.concatenate"(%arg0, %arg1) {
      dimension = 1 : i64
    } : (tensor<128x64xf32>, tensor<128x96xf32>) -> tensor<128x160xf32>
    return %0 : tensor<128x160xf32>
  }
   func.func public @test_concat_5(%arg0: tensor<256x512xi64>, %arg1: tensor<256x256xi64>) -> tensor<256x768xi64> {
    %0 = "stablehlo.concatenate"(%arg0, %arg1) {
      dimension = 1 : i64
    } : (tensor<256x512xi64>, tensor<256x256xi64>) -> tensor<256x768xi64>
    return %0 : tensor<256x768xi64>
  }
   func.func public @test_concat_6(%arg0: tensor<64x32xi64>, %arg1: tensor<64x64xi64>) -> tensor<64x96xi64> {
    %0 = "stablehlo.concatenate"(%arg0, %arg1) {
      dimension = 1 : i64
    } : (tensor<64x32xi64>, tensor<64x64xi64>) -> tensor<64x96xi64>
    return %0 : tensor<64x96xi64>
  }
  func.func public @test_concat_7(%arg0: tensor<1000x128xi32>, %arg1: tensor<500x128xi32>) -> tensor<1500x128xi32> {
    %0 = "stablehlo.concatenate"(%arg0, %arg1) {
      dimension = 0 : i64
    } : (tensor<1000x128xi32>, tensor<500x128xi32>) -> tensor<1500x128xi32>
    return %0 : tensor<1500x128xi32>
  }
  func.func public @test_concat_8(%arg0: tensor<3x2x4x5xf32>, %arg1: tensor<3x2x4x3xf32>) -> tensor<3x2x4x8xf32> {
    %0 = "stablehlo.concatenate"(%arg0, %arg1) {
      dimension = 3 : i64
    } : (tensor<3x2x4x5xf32>, tensor<3x2x4x3xf32>) -> tensor<3x2x4x8xf32>
    return %0 : tensor<3x2x4x8xf32>
  }
  func.func public @test_concat_9(%arg0: tensor<8x4x6xi32>, %arg1: tensor<8x4x2xi32>) -> tensor<8x4x8xi32> {
    %0 = "stablehlo.concatenate"(%arg0, %arg1) {
      dimension = 2 : i64
    } : (tensor<8x4x6xi32>, tensor<8x4x2xi32>) -> tensor<8x4x8xi32>
    return %0 : tensor<8x4x8xi32>
  }
}

[kmitrovicTT]

Should we have FileCheck directives in silicon tests or not?

[mmanzoorTT]

Should we have FileCheck directives in silicon tests or not?

@kmitrovicTT I'll add FileCheck as per slack discussion.