diff --git a/test/ttmlir/Silicon/StableHLO/Binary/add_op.mlir b/test/ttmlir/Silicon/StableHLO/Binary/add_op.mlir
new file mode 100644
index 000000000..e31d97eb6
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Binary/add_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_add attributes {} {
+  func.func public @test_add(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.add %arg0, %arg1 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Binary/compare_op.mlir b/test/ttmlir/Silicon/StableHLO/Binary/compare_op.mlir
new file mode 100644
index 000000000..e9716401d
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Binary/compare_op.mlir
@@ -0,0 +1,37 @@
+// 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_eltwise_compare attributes {} {
+  func.func public @test_eq(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xi1> {
+    %0 = stablehlo.compare  EQ, %arg0, %arg1 : (tensor<64x128xf32>, tensor<64x128xf32>) -> tensor<64x128xi1>
+    return %0 : tensor<64x128xi1>
+  }
+
+  func.func public @test_ne(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xi1> {
+    %0 = stablehlo.compare  NE, %arg0, %arg1 : (tensor<64x128xf32>, tensor<64x128xf32>) -> tensor<64x128xi1>
+    return %0 : tensor<64x128xi1>
+  }
+
+  func.func public @test_ge(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xi1> {
+    %0 = stablehlo.compare  GE, %arg0, %arg1 : (tensor<64x128xf32>, tensor<64x128xf32>) -> tensor<64x128xi1>
+    return %0 : tensor<64x128xi1>
+  }
+
+  func.func public @test_gt(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xi1> {
+    %0 = stablehlo.compare  GT, %arg0, %arg1 : (tensor<64x128xf32>, tensor<64x128xf32>) -> tensor<64x128xi1>
+    return %0 : tensor<64x128xi1>
+  }
+
+  func.func public @test_le(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xi1> {
+    %0 = stablehlo.compare  LE, %arg0, %arg1 : (tensor<64x128xf32>, tensor<64x128xf32>) -> tensor<64x128xi1>
+    return %0 : tensor<64x128xi1>
+  }
+
+  func.func public @test_lt(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xi1> {
+    %0 = stablehlo.compare  LT, %arg0, %arg1 : (tensor<64x128xf32>, tensor<64x128xf32>) -> tensor<64x128xi1>
+    return %0 : tensor<64x128xi1>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Binary/concat_op.mlir b/test/ttmlir/Silicon/StableHLO/Binary/concat_op.mlir
new file mode 100644
index 000000000..63abbc0c3
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Binary/concat_op.mlir
@@ -0,0 +1,70 @@
+// 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<64x32xf32>, %arg1: tensor<64x64xf32>) -> tensor<64x96xf32> {
+    %0 = "stablehlo.concatenate"(%arg0, %arg1) {
+      dimension = 1 : i64
+    } : (tensor<64x32xf32>, tensor<64x64xf32>) -> tensor<64x96xf32>
+    return %0 : tensor<64x96xf32>
+  }
+
+  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>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Binary/divide_op.mlir b/test/ttmlir/Silicon/StableHLO/Binary/divide_op.mlir
new file mode 100644
index 000000000..c85cbf60e
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Binary/divide_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_divice attributes {} {
+  func.func public @test_divide(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.divide %arg0, %arg1 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Binary/logical_op.mlir b/test/ttmlir/Silicon/StableHLO/Binary/logical_op.mlir
new file mode 100644
index 000000000..75763dbeb
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Binary/logical_op.mlir
@@ -0,0 +1,27 @@
+// 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_eltwise_compare attributes {} {
+  func.func public @logical_and(%arg0: tensor<64x128xi1>, %arg1: tensor<64x128xi1>) -> tensor<64x128xi1> {
+    %0 = stablehlo.and  %arg0, %arg1 : tensor<64x128xi1>
+    return %0 : tensor<64x128xi1>
+  }
+
+  func.func public @logical_or(%arg0: tensor<64x128xi1>, %arg1: tensor<64x128xi1>) -> tensor<64x128xi1> {
+    %0 = stablehlo.or  %arg0, %arg1 : tensor<64x128xi1>
+    return %0 : tensor<64x128xi1>
+  }
+
+func.func public @logical_not(%arg0: tensor<64x128xi1>) -> tensor<64x128xi1> {
+    %0 = stablehlo.not  %arg0 : tensor<64x128xi1>
+    return %0 : tensor<64x128xi1>
+  }
+
+func.func public @logical_not_scalar(%arg0: tensor<i1>) -> tensor<i1> {
+    %0 = stablehlo.not  %arg0 : tensor<i1>
+    return %0 : tensor<i1>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Binary/maximum_op.mlir b/test/ttmlir/Silicon/StableHLO/Binary/maximum_op.mlir
new file mode 100644
index 000000000..72e0bd14c
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Binary/maximum_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_maximum attributes {} {
+  func.func public @test_maximum(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.maximum %arg0, %arg1 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Binary/minimum_op.mlir b/test/ttmlir/Silicon/StableHLO/Binary/minimum_op.mlir
new file mode 100644
index 000000000..7d7f3cac4
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Binary/minimum_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_minimum attributes {} {
+  func.func public @test_minimum(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.minimum %arg0, %arg1 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Binary/multiply_op.mlir b/test/ttmlir/Silicon/StableHLO/Binary/multiply_op.mlir
new file mode 100644
index 000000000..95460ea6a
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Binary/multiply_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_multiply attributes {} {
+  func.func public @test_multiply(%arg0: tensor<13x21x3xf32>, %arg1: tensor<13x21x3xf32>) -> tensor<13x21x3xf32> {
+    %0 = stablehlo.multiply %arg0, %arg1 : tensor<13x21x3xf32>
+    return %0 : tensor<13x21x3xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Binary/remainder_op.mlir b/test/ttmlir/Silicon/StableHLO/Binary/remainder_op.mlir
new file mode 100644
index 000000000..67a60c659
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Binary/remainder_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_remainder attributes {} {
+  func.func public @test_remainder(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.remainder %arg0, %arg1 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Binary/subtract_op.mlir b/test/ttmlir/Silicon/StableHLO/Binary/subtract_op.mlir
new file mode 100644
index 000000000..003c11dfb
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Binary/subtract_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_subtract attributes {} {
+  func.func public @test_subtract(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.subtract %arg0, %arg1 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Constant/constant_bf16.mlir b/test/ttmlir/Silicon/StableHLO/Constant/constant_bf16.mlir
new file mode 100644
index 000000000..bd438963c
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Constant/constant_bf16.mlir
@@ -0,0 +1,22 @@
+// 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_constant attributes {} {
+  func.func public @test_bfloat16_scalar() -> tensor<bf16> {
+    %0 = stablehlo.constant dense<3.0> : tensor<bf16>
+    return %0 : tensor<bf16>
+  }
+
+  func.func public @test_bfloat16_empty() -> tensor<64x128xbf16> {
+    %0 = stablehlo.constant dense<0.0> : tensor<64x128xbf16>
+    return %0 : tensor<64x128xbf16>
+  }
+
+  func.func public @test_bfloat16_splat() -> tensor<64x128xbf16> {
+    %0 = stablehlo.constant dense<3.0> : tensor<64x128xbf16>
+    return %0 : tensor<64x128xbf16>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Constant/constant_bool.mlir b/test/ttmlir/Silicon/StableHLO/Constant/constant_bool.mlir
new file mode 100644
index 000000000..8fe2ceefc
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Constant/constant_bool.mlir
@@ -0,0 +1,17 @@
+// 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_constant attributes {} {
+  func.func public @test_boolean_scalar() -> tensor<i1> {
+    %0 = stablehlo.constant dense<true> : tensor<i1>
+    return %0 : tensor<i1>
+  }
+
+  func.func public @test_boolean_splat() -> tensor<64xi1> {
+    %0 = stablehlo.constant dense<true> : tensor<64xi1>
+    return %0 : tensor<64xi1>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Constant/constant_f32.mlir b/test/ttmlir/Silicon/StableHLO/Constant/constant_f32.mlir
new file mode 100644
index 000000000..09ce2f18a
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Constant/constant_f32.mlir
@@ -0,0 +1,22 @@
+// 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_constant attributes {} {
+  func.func public @test_float_scalar() -> tensor<f32> {
+    %0 = stablehlo.constant dense<0.3> : tensor<f32>
+    return %0 : tensor<f32>
+  }
+
+  func.func public @test_float_empty() -> tensor<64xf32> {
+    %0 = stablehlo.constant dense<0.0> : tensor<64xf32>
+    return %0 : tensor<64xf32>
+  }
+
+  func.func public @test_float_splat() -> tensor<64xf32> {
+    %0 = stablehlo.constant dense<0.3> : tensor<64xf32>
+    return %0 : tensor<64xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Constant/constant_i16.mlir b/test/ttmlir/Silicon/StableHLO/Constant/constant_i16.mlir
new file mode 100644
index 000000000..1b757844d
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Constant/constant_i16.mlir
@@ -0,0 +1,22 @@
+// 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_constant attributes {} {
+  func.func public @test_int32_scalar() -> tensor<i16> {
+    %0 = stablehlo.constant dense<3> : tensor<i16>
+    return %0 : tensor<i16>
+  }
+
+  func.func public @test_int32_empty() -> tensor<64x128xi16> {
+    %0 = stablehlo.constant dense<0> : tensor<64x128xi16>
+    return %0 : tensor<64x128xi16>
+  }
+
+  func.func public @test_int32_splat() -> tensor<64x128xi16> {
+    %0 = stablehlo.constant dense<3> : tensor<64x128xi16>
+    return %0 : tensor<64x128xi16>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Constant/constant_i32.mlir b/test/ttmlir/Silicon/StableHLO/Constant/constant_i32.mlir
new file mode 100644
index 000000000..db88dc2d9
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Constant/constant_i32.mlir
@@ -0,0 +1,22 @@
+// 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_constant attributes {} {
+  func.func public @test_int32_scalar() -> tensor<i32> {
+    %0 = stablehlo.constant dense<3> : tensor<i32>
+    return %0 : tensor<i32>
+  }
+
+  func.func public @test_int32_empty() -> tensor<64x128xi32> {
+    %0 = stablehlo.constant dense<0> : tensor<64x128xi32>
+    return %0 : tensor<64x128xi32>
+  }
+
+  func.func public @test_int32_splat() -> tensor<64x128xi32> {
+    %0 = stablehlo.constant dense<3> : tensor<64x128xi32>
+    return %0 : tensor<64x128xi32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Constant/constant_i64.mlir b/test/ttmlir/Silicon/StableHLO/Constant/constant_i64.mlir
new file mode 100644
index 000000000..ff1ece580
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Constant/constant_i64.mlir
@@ -0,0 +1,22 @@
+// 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_constant attributes {} {
+  func.func public @test_int64_scalar() -> tensor<i64> {
+    %0 = stablehlo.constant dense<3> : tensor<i64>
+    return %0 : tensor<i64>
+  }
+
+  func.func public @test_int64_empty() -> tensor<64x128xi64> {
+    %0 = stablehlo.constant dense<0> : tensor<64x128xi64>
+    return %0 : tensor<64x128xi64>
+  }
+
+  func.func public @test_int64_splat() -> tensor<64x128xi64> {
+    %0 = stablehlo.constant dense<3> : tensor<64x128xi64>
+    return %0 : tensor<64x128xi64>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Constant/constant_i8.mlir b/test/ttmlir/Silicon/StableHLO/Constant/constant_i8.mlir
new file mode 100644
index 000000000..b95106601
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Constant/constant_i8.mlir
@@ -0,0 +1,22 @@
+// 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_constant attributes {} {
+  func.func public @test_int32_scalar() -> tensor<i8> {
+    %0 = stablehlo.constant dense<3> : tensor<i8>
+    return %0 : tensor<i8>
+  }
+
+  func.func public @test_int32_empty() -> tensor<64x128xi8> {
+    %0 = stablehlo.constant dense<0> : tensor<64x128xi8>
+    return %0 : tensor<64x128xi8>
+  }
+
+  func.func public @test_int32_splat() -> tensor<64x128xi8> {
+    %0 = stablehlo.constant dense<3> : tensor<64x128xi8>
+    return %0 : tensor<64x128xi8>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Unary/absolute_op.mlir b/test/ttmlir/Silicon/StableHLO/Unary/absolute_op.mlir
new file mode 100644
index 000000000..81a3c70d8
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Unary/absolute_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_abs attributes {} {
+  func.func public @test_abs(%arg0: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.abs %arg0 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Unary/cbrt_op.mlir b/test/ttmlir/Silicon/StableHLO/Unary/cbrt_op.mlir
new file mode 100644
index 000000000..3afff418a
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Unary/cbrt_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_rsqrt attributes {} {
+  func.func public @test_cbrt(%arg0: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.cbrt %arg0 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Unary/ceil_op.mlir b/test/ttmlir/Silicon/StableHLO/Unary/ceil_op.mlir
new file mode 100644
index 000000000..fb6a7ef37
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Unary/ceil_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_ceil attributes {} {
+  func.func public @test_ceil(%arg0: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.ceil %arg0 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Unary/cosine_op.mlir b/test/ttmlir/Silicon/StableHLO/Unary/cosine_op.mlir
new file mode 100644
index 000000000..8b90d1a7d
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Unary/cosine_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_cosine attributes {} {
+  func.func public @test_cosine(%arg0: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.cosine %arg0 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Unary/exponential_minus_one_op.mlir b/test/ttmlir/Silicon/StableHLO/Unary/exponential_minus_one_op.mlir
new file mode 100644
index 000000000..5ff8e6865
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Unary/exponential_minus_one_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_expm1 attributes {} {
+  func.func public @test_expm1(%arg0: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.exponential_minus_one %arg0 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Unary/exponential_op.mlir b/test/ttmlir/Silicon/StableHLO/Unary/exponential_op.mlir
new file mode 100644
index 000000000..cfa263c71
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Unary/exponential_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_exp attributes {} {
+  func.func public @test_exp(%arg0: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.exponential %arg0 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Unary/floor_op.mlir b/test/ttmlir/Silicon/StableHLO/Unary/floor_op.mlir
new file mode 100644
index 000000000..d0614341f
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Unary/floor_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_floor attributes {} {
+  func.func public @test_floor(%arg0: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.floor %arg0 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Unary/isfinite_op.mlir b/test/ttmlir/Silicon/StableHLO/Unary/isfinite_op.mlir
new file mode 100644
index 000000000..0de6e7ee9
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Unary/isfinite_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_isfinite attributes {} {
+  func.func public @test_isfinite(%arg0: tensor<64x128xf32>) -> tensor<64x128xi1> {
+    %0 = stablehlo.is_finite %arg0 : (tensor<64x128xf32>) -> tensor<64x128xi1>
+    return %0 : tensor<64x128xi1>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Unary/log_plus_one_op.mlir b/test/ttmlir/Silicon/StableHLO/Unary/log_plus_one_op.mlir
new file mode 100644
index 000000000..a77ed68e8
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Unary/log_plus_one_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_log_plus_one attributes {} {
+  func.func public @test_log_plus_one(%arg0: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.log_plus_one %arg0 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Unary/negate_op.mlir b/test/ttmlir/Silicon/StableHLO/Unary/negate_op.mlir
new file mode 100644
index 000000000..68ece06ea
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Unary/negate_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_neg attributes {} {
+  func.func public @test_neg(%arg0: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.negate %arg0 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Unary/rsqrt_op.mlir b/test/ttmlir/Silicon/StableHLO/Unary/rsqrt_op.mlir
new file mode 100644
index 000000000..f9fdc321a
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Unary/rsqrt_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_rsqrt attributes {} {
+  func.func public @test_rsqrt(%arg0: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.rsqrt %arg0 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Unary/sine_op.mlir b/test/ttmlir/Silicon/StableHLO/Unary/sine_op.mlir
new file mode 100644
index 000000000..19bcec2d4
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Unary/sine_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_sine attributes {} {
+  func.func public @test_sine(%arg0: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.sine %arg0 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Unary/sqrt_op.mlir b/test/ttmlir/Silicon/StableHLO/Unary/sqrt_op.mlir
new file mode 100644
index 000000000..798280d65
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Unary/sqrt_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_sqrt attributes {} {
+  func.func public @test_sqrt(%arg0: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.sqrt %arg0 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/Unary/tranpose_op.mlir b/test/ttmlir/Silicon/StableHLO/Unary/tranpose_op.mlir
new file mode 100644
index 000000000..2314dae90
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/Unary/tranpose_op.mlir
@@ -0,0 +1,12 @@
+// 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_transpose attributes {} {
+  func.func public @test_transpose(%arg0: tensor<64x128xf32>) -> tensor<128x64xf32> {
+    %0 = stablehlo.transpose %arg0, dims = [1,0] : (tensor<64x128xf32>) -> tensor<128x64xf32>
+    return %0 : tensor<128x64xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/broadcast_op.mlir b/test/ttmlir/Silicon/StableHLO/broadcast_op.mlir
new file mode 100644
index 000000000..928bcbba4
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/broadcast_op.mlir
@@ -0,0 +1,13 @@
+// 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_broadcast attributes {mhlo.num_partitions = 1 : i32, mhlo.num_replicas = 1 : i32} {
+  func.func public @main(%arg0: tensor<1xf32> {mhlo.layout_mode = "default"}, %arg1: tensor<64x128xf32> {mhlo.layout_mode = "default"}) -> (tensor<64x128xf32> {jax.result_info = "", mhlo.layout_mode = "default"}) {
+    %0 = stablehlo.broadcast_in_dim %arg0, dims = [1] : (tensor<1xf32>) -> tensor<64x128xf32>
+    %1 = stablehlo.maximum %0, %arg1 : tensor<64x128xf32>
+    return %1 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/composite_op.mlir b/test/ttmlir/Silicon/StableHLO/composite_op.mlir
new file mode 100644
index 000000000..a44ce1e65
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/composite_op.mlir
@@ -0,0 +1,19 @@
+// 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_eltwise_add attributes {} {
+  func.func private @add_impl(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.add %arg0, %arg1 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+
+  func.func public @main(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %results = stablehlo.composite "jit_eltwise_add.my_add" %arg0, %arg1 {
+        decomposition = @add_impl
+    } : (tensor<64x128xf32>, tensor<64x128xf32>) -> tensor<64x128xf32>
+    return %results : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/conv2d_op.mlir b/test/ttmlir/Silicon/StableHLO/conv2d_op.mlir
new file mode 100644
index 000000000..f2571c627
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/conv2d_op.mlir
@@ -0,0 +1,21 @@
+// 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_convolution attributes {} {
+  func.func public @test_convolution(%arg0: tensor<1x128x128x32xf32>, %arg1: tensor<64x32x3x3xf32>) -> tensor<1x128x128x64xf32> {
+    %0 = stablehlo.convolution(%arg0, %arg1)
+      dim_numbers = [b, 0, 1, f]x[o, i, 0, 1]->[b, 0, 1, f],
+      window = {
+        stride = [1, 1],
+        pad = [[1, 1], [1, 1]],
+      } {
+        feature_group_count = 1 : i64,
+        batch_group_count = 1 : i64,
+        precision_config = [#stablehlo<precision DEFAULT>, #stablehlo<precision DEFAULT>]
+      } : (tensor<1x128x128x32xf32>, tensor<64x32x3x3xf32>) -> tensor<1x128x128x64xf32>
+    return %0 : tensor<1x128x128x64xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/convert_op.mlir b/test/ttmlir/Silicon/StableHLO/convert_op.mlir
new file mode 100644
index 000000000..034f783d5
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/convert_op.mlir
@@ -0,0 +1,21 @@
+// 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_eltwise_convert attributes {} {
+  func.func public @test_convert(%arg0: tensor<64x128xf32>) -> tensor<64x128xbf16> {
+    %0 = stablehlo.convert %arg0 : (tensor<64x128xf32>) -> tensor<64x128xbf16>
+    return %0 : tensor<64x128xbf16>
+  }
+}
+
+module @jit_eltwise_add attributes {} {
+  func.func public @test_add(%arg0: tensor<64x128xf32>, %arg1: tensor<64x128xf32>) -> tensor<64x128xbf16> {
+    %0 = stablehlo.convert %arg0 : (tensor<64x128xf32>) -> tensor<64x128xbf16>
+    %1 = stablehlo.convert %arg1 : (tensor<64x128xf32>) -> tensor<64x128xbf16>
+    %2 = stablehlo.add %0, %1 : tensor<64x128xbf16>
+    return %2 : tensor<64x128xbf16>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/dot_general_op.mlir b/test/ttmlir/Silicon/StableHLO/dot_general_op.mlir
new file mode 100644
index 000000000..72b6638f3
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/dot_general_op.mlir
@@ -0,0 +1,12 @@
+// 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_dot_general attributes {} {
+  func.func public @test_dot_general(%arg0 : tensor<16x32xf32>, %arg1 : tensor<32x8xf32>) -> tensor<16x8xf32> {
+    %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0] : (tensor<16x32xf32>, tensor<32x8xf32>) -> tensor<16x8xf32>
+    return %0 : tensor<16x8xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/get_dimension_size_op.mlir b/test/ttmlir/Silicon/StableHLO/get_dimension_size_op.mlir
new file mode 100644
index 000000000..91f397fee
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/get_dimension_size_op.mlir
@@ -0,0 +1,12 @@
+// 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_get_dimension_size attributes {} {
+  func.func public @test_get_dimension_size(%arg0: tensor<64x128xf32>) -> tensor<i32> {
+    %0 = stablehlo.get_dimension_size %arg0, dim = 1 : (tensor<64x128xf32>) -> tensor<i32>
+    return %0 : tensor<i32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/maxpool2d_op.mlir b/test/ttmlir/Silicon/StableHLO/maxpool2d_op.mlir
new file mode 100644
index 000000000..d503729ab
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/maxpool2d_op.mlir
@@ -0,0 +1,16 @@
+// 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
+
+func.func public @test_maxpool2d(%arg0: tensor<1x128x128x32xbf16>) -> tensor<1x64x64x32xbf16> {
+  %0 = stablehlo.constant dense<0xFF80> : tensor<bf16>
+  %1 = stablehlo.broadcast_in_dim %0, dims = [] : (tensor<bf16>) -> tensor<bf16>
+  %2 = "stablehlo.reduce_window"(%arg0, %1) <{padding = dense<[[0, 0], [1, 1], [1, 1], [0, 0]]> : tensor<4x2xi64>, window_dimensions = array<i64: 1, 3, 3, 1>, window_strides = array<i64: 1, 2, 2, 1>}> ({
+  ^bb0(%arg2: tensor<bf16>, %arg3: tensor<bf16>):
+    %3 = stablehlo.maximum %arg2, %arg3 : tensor<bf16>
+    stablehlo.return %3 : tensor<bf16>
+  }) : (tensor<1x128x128x32xbf16>, tensor<bf16>) -> tensor<1x64x64x32xbf16>
+  return %2 : tensor<1x64x64x32xbf16>
+}
diff --git a/test/ttmlir/Silicon/StableHLO/mnist_inference.mlir b/test/ttmlir/Silicon/StableHLO/mnist_inference.mlir
new file mode 100644
index 000000000..6958d7f92
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/mnist_inference.mlir
@@ -0,0 +1,41 @@
+// 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
+// TODO: Enable when all ops are supported.
+// UNSUPPORTED: true
+module @jit_predict attributes {mhlo.num_partitions = 1 : i32, mhlo.num_replicas = 1 : i32} {
+  func.func public @main(%arg0: tensor<512x784xf32> {mhlo.layout_mode = "default"}, %arg1: tensor<512xf32> {mhlo.layout_mode = "default"}, %arg2: tensor<10x512xf32> {mhlo.layout_mode = "default"}, %arg3: tensor<10xf32> {mhlo.layout_mode = "default"}, %arg4: tensor<128x784xui8> {mhlo.layout_mode = "default"}) -> (tensor<128x10xf32> {jax.result_info = "", mhlo.layout_mode = "default"}) {
+    %0 = stablehlo.convert %arg0 : tensor<512x784xf32>
+    %1 = stablehlo.convert %arg4 : (tensor<128x784xui8>) -> tensor<128x784xf32>
+    %2 = stablehlo.dot_general %0, %1, contracting_dims = [1] x [1], precision = [DEFAULT, DEFAULT] : (tensor<512x784xf32>, tensor<128x784xf32>) -> tensor<512x128xf32>
+    %3 = stablehlo.transpose %2, dims = [1, 0] : (tensor<512x128xf32>) -> tensor<128x512xf32>
+    %4 = stablehlo.broadcast_in_dim %arg1, dims = [1] : (tensor<512xf32>) -> tensor<1x512xf32>
+    %5 = stablehlo.broadcast_in_dim %4, dims = [0, 1] : (tensor<1x512xf32>) -> tensor<128x512xf32>
+    %6 = stablehlo.add %3, %5 : tensor<128x512xf32>
+    %cst = stablehlo.constant dense<0.000000e+00> : tensor<f32>
+    %7 = stablehlo.broadcast_in_dim %cst, dims = [] : (tensor<f32>) -> tensor<128x512xf32>
+    %8 = stablehlo.maximum %7, %6 : tensor<128x512xf32>
+    %9 = stablehlo.dot_general %arg2, %8, contracting_dims = [1] x [1], precision = [DEFAULT, DEFAULT] : (tensor<10x512xf32>, tensor<128x512xf32>) -> tensor<10x128xf32>
+    %10 = stablehlo.transpose %9, dims = [1, 0] : (tensor<10x128xf32>) -> tensor<128x10xf32>
+    %11 = stablehlo.broadcast_in_dim %arg3, dims = [1] : (tensor<10xf32>) -> tensor<1x10xf32>
+    %12 = stablehlo.broadcast_in_dim %11, dims = [0, 1] : (tensor<1x10xf32>) -> tensor<128x10xf32>
+    %13 = stablehlo.add %10, %12 : tensor<128x10xf32>
+    %cst_0 = stablehlo.constant dense<0xFF800000> : tensor<f32>
+    %14 = stablehlo.reduce(%13 init: %cst_0) applies stablehlo.maximum across dimensions = [1] : (tensor<128x10xf32>, tensor<f32>) -> tensor<128xf32>
+    %cst_1 = stablehlo.constant dense<0xFF800000> : tensor<f32>
+    %15 = stablehlo.broadcast_in_dim %cst_1, dims = [] : (tensor<f32>) -> tensor<128xf32>
+    %16 = stablehlo.maximum %15, %14 : tensor<128xf32>
+    %17 = stablehlo.broadcast_in_dim %16, dims = [0] : (tensor<128xf32>) -> tensor<128x1xf32>
+    %18 = stablehlo.broadcast_in_dim %17, dims = [0, 1] : (tensor<128x1xf32>) -> tensor<128x10xf32>
+    %19 = stablehlo.subtract %13, %18 : tensor<128x10xf32>
+    %20 = stablehlo.exponential %19 : tensor<128x10xf32>
+    %cst_2 = stablehlo.constant dense<0.000000e+00> : tensor<f32>
+    %21 = stablehlo.reduce(%20 init: %cst_2) applies stablehlo.add across dimensions = [1] : (tensor<128x10xf32>, tensor<f32>) -> tensor<128xf32>
+    %22 = stablehlo.broadcast_in_dim %21, dims = [0] : (tensor<128xf32>) -> tensor<128x1xf32>
+    %23 = stablehlo.broadcast_in_dim %22, dims = [0, 1] : (tensor<128x1xf32>) -> tensor<128x10xf32>
+    %24 = stablehlo.divide %20, %23 : tensor<128x10xf32>
+    return %24 : tensor<128x10xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/reduce_add_op.mlir b/test/ttmlir/Silicon/StableHLO/reduce_add_op.mlir
new file mode 100644
index 000000000..1fcad52bd
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/reduce_add_op.mlir
@@ -0,0 +1,12 @@
+// 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
+// UNSUPPORTED: true
+module @jit_reduce_add attributes {} {
+  func.func public @test_reduce_add(%arg0: tensor<128x10xf32>, %cst_0: tensor<f32>) -> tensor<128xf32> {
+    %0 = stablehlo.reduce(%arg0 init: %cst_0) applies stablehlo.add across dimensions = [1] : (tensor<128x10xf32>, tensor<f32>) -> tensor<128xf32>
+    return %0 : tensor<128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/reduce_maximum_op.mlir b/test/ttmlir/Silicon/StableHLO/reduce_maximum_op.mlir
new file mode 100644
index 000000000..d620c8c50
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/reduce_maximum_op.mlir
@@ -0,0 +1,12 @@
+// 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
+// UNSUPPORTED: true
+module @jit_reduce_maximum attributes {} {
+  func.func public @test_reduce_maximum(%arg0: tensor<128x10xf32>, %cst_0: tensor<f32>) -> tensor<128xf32> {
+    %0 = stablehlo.reduce(%arg0 init: %cst_0) applies stablehlo.maximum across dimensions = [1] : (tensor<128x10xf32>, tensor<f32>) -> tensor<128xf32>
+    return %0 : tensor<128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/rehsape_op.mlir b/test/ttmlir/Silicon/StableHLO/rehsape_op.mlir
new file mode 100644
index 000000000..830ba29b8
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/rehsape_op.mlir
@@ -0,0 +1,12 @@
+// 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_module_reshape attributes {mhlo.num_partitions = 1 : i32, mhlo.num_replicas = 1 : i32} {
+  func.func public @main(%arg0: tensor<1x64x64x64xf32> {mhlo.layout_mode = "default", mhlo.sharding = "{replicated}"}) -> (tensor<1x1x4096x64xf32> {jax.result_info = "", mhlo.layout_mode = "default"}) {
+    %0 = stablehlo.reshape %arg0 : (tensor<1x64x64x64xf32>) -> tensor<1x1x4096x64xf32>
+    return %0 : tensor<1x1x4096x64xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/scalar_add_op.mlir b/test/ttmlir/Silicon/StableHLO/scalar_add_op.mlir
new file mode 100644
index 000000000..26f697464
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/scalar_add_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_scalar_add attributes {} {
+  func.func public @test_scalar_add(%arg0: tensor<f32>, %arg1: tensor<f32>) -> tensor<f32> {
+    %0 = stablehlo.add %arg0, %arg1 : tensor<f32>
+    return %0 : tensor<f32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/sign_op.mlir b/test/ttmlir/Silicon/StableHLO/sign_op.mlir
new file mode 100644
index 000000000..3f9ea54ec
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/sign_op.mlir
@@ -0,0 +1,12 @@
+// 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_eltwise_sign attributes {} {
+  func.func public @test_sign(%arg0: tensor<64x128xf32>) -> tensor<64x128xf32> {
+    %0 = stablehlo.sign %arg0 : tensor<64x128xf32>
+    return %0 : tensor<64x128xf32>
+  }
+}
diff --git a/test/ttmlir/Silicon/StableHLO/slice_op.mlir b/test/ttmlir/Silicon/StableHLO/slice_op.mlir
new file mode 100644
index 000000000..6c83787dd
--- /dev/null
+++ b/test/ttmlir/Silicon/StableHLO/slice_op.mlir
@@ -0,0 +1,16 @@
+// 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_eltwise_subtract attributes {} {
+  func.func @slice_op(%arg0: tensor<32x64xf32>) -> tensor<8x8xf32> {
+    %result = "stablehlo.slice"(%arg0) {
+      start_indices = array<i64: 0, 16>,
+      limit_indices = array<i64: 16, 32>,
+      strides = array<i64: 2, 2>
+    } : (tensor<32x64xf32>) -> tensor<8x8xf32>
+    return %result : tensor<8x8xf32>
+  }
+}