generated code being checked in backends/arm/test/models/test_conformer.py test_conformer_tosa_MI

new_code.py

new code
def forward(self, b_conformer_layers_0_conv_module_sequential_3_num_batches_tracked, b_conformer_layers_1_conv_module_sequential_3_num_batches_tracked, input, lengths):                                                                                 input_1 = input
    aten_arange_start_step = executorch_exir_dialects_edge__ops_aten_arange_start_step(0, 97, dtype = torch.int32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
    scalar_tensor = torch.ops.aten.scalar_tensor.default(-inf, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
    scalar_tensor_1 = torch.ops.aten.scalar_tensor.default(-inf, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
    lowered_module_0 = self.lowered_module_0
    lowered_module_1 = self.lowered_module_1
    lowered_module_2 = self.lowered_module_2
    lowered_module_3 = self.lowered_module_3
    aten_max_default = executorch_exir_dialects_edge__ops_aten_max_default(lengths)
    lowered_module_4 = self.lowered_module_4
    executorch_call_delegate_4 = torch.ops.higher_order.executorch_call_delegate(lowered_module_4, input_1, lengths, aten_arange_start_step);  lowered_module_4 = input_1 = aten_arange_start_step = None
    _local_scalar_dense = torch.ops.aten._local_scalar_dense.default(aten_max_default);  aten_max_default = None
    eq_1 = _local_scalar_dense == 97
    _assert_scalar_9 = torch.ops.aten._assert_scalar.default(eq_1, "Runtime assertion failed for expression Eq(u0, 97) on node 'eq'");  eq_1 = _assert_scalar_9 = None
    le_3 = _local_scalar_dense <= 97
    _assert_scalar_8 = torch.ops.aten._assert_scalar.default(le_3, "Runtime assertion failed for expression u0 <= 97 on node 'le'");  le_3 = _assert_scalar_8 = None
    ge_3 = _local_scalar_dense >= 97
    _assert_scalar_7 = torch.ops.aten._assert_scalar.default(ge_3, "Runtime assertion failed for expression u0 >= 97 on node 'ge_1'");  ge_3 = _assert_scalar_7 = None
    eq = _local_scalar_dense == 97
    _assert_scalar_6 = torch.ops.aten._assert_scalar.default(eq, "Runtime assertion failed for expression Eq(u0, 97) on node 'eq_1'");  eq = _assert_scalar_6 = None
    le_2 = _local_scalar_dense <= 97
    _assert_scalar_5 = torch.ops.aten._assert_scalar.default(le_2, "Runtime assertion failed for expression u0 <= 97 on node 'le_1'");  le_2 = _assert_scalar_5 = None
    ge_2 = _local_scalar_dense >= 97
    _assert_scalar_4 = torch.ops.aten._assert_scalar.default(ge_2, "Runtime assertion failed for expression u0 >= 97 on node 'ge_2'");  ge_2 = _assert_scalar_4 = None
    le_1 = _local_scalar_dense <= 97
    _assert_scalar_3 = torch.ops.aten._assert_scalar.default(le_1, "Runtime assertion failed for expression u4 <= 97 on node 'le_2'");  le_1 = _assert_scalar_3 = None
    ge_1 = _local_scalar_dense >= 97
    _assert_scalar_2 = torch.ops.aten._assert_scalar.default(ge_1, "Runtime assertion failed for expression u4 >= 97 on node 'ge_3'");  ge_1 = _assert_scalar_2 = None
    le = _local_scalar_dense <= 97
    _assert_scalar_1 = torch.ops.aten._assert_scalar.default(le, "Runtime assertion failed for expression u4 <= 97 on node 'le_3'");  le = _assert_scalar_1 = None
    ge = _local_scalar_dense >= 97
    _assert_scalar = torch.ops.aten._assert_scalar.default(ge, "Runtime assertion failed for expression u4 >= 97 on node 'ge_4'");  ge = _assert_scalar = None
    sym_constrain_range_for_size = torch.ops.aten.sym_constrain_range_for_size.default(_local_scalar_dense);  _local_scalar_dense = sym_constrain_range_for_size = None
    getitem_21 = executorch_call_delegate_4[0]
    getitem_22 = executorch_call_delegate_4[1]
    getitem_23 = executorch_call_delegate_4[2]
    getitem_24 = executorch_call_delegate_4[3]
    getitem_25 = executorch_call_delegate_4[4];  executorch_call_delegate_4 = None                                                                                   
    aten_full_like_default = executorch_exir_dialects_edge__ops_aten_full_like_default(getitem_21, 0, dtype = torch.float32, pin_memory = False, memory_format = torch.preserve_format)
    aten_full_like_default_2 = executorch_exir_dialects_edge__ops_aten_full_like_default(getitem_21, 0, dtype = torch.float32, pin_memory = False, memory_format = torch.preserve_format)
    aten_mul_scalar = executorch_exir_dialects_edge__ops_aten_mul_Scalar(getitem_24, 0.7071067811865476);  getitem_24 = None
    aten_mul_scalar_1 = executorch_exir_dialects_edge__ops_aten_mul_Scalar(getitem_25, 0.7071067811865476);  getitem_25 = None
    aten_where_self = executorch_exir_dialects_edge__ops_aten_where_self(getitem_21, scalar_tensor, aten_full_like_default);  scalar_tensor = aten_full_like_default = None
    aten_where_self_2 = executorch_exir_dialects_edge__ops_aten_where_self(getitem_21, scalar_tensor_1, aten_full_like_default_2);  getitem_21 = scalar_tensor_1 = aten_full_like_default_2 = None
    executorch_call_delegate_2 = torch.ops.higher_order.executorch_call_delegate(lowered_module_2, aten_where_self, aten_mul_scalar, aten_mul_scalar_1);  lowered_module_2 = aten_where_self = aten_mul_scalar = aten_mul_scalar_1 = None
    getitem_15 = executorch_call_delegate_2[0]
    getitem_16 = executorch_call_delegate_2[1];  executorch_call_delegate_2 = None
    aten_eq_scalar = executorch_exir_dialects_edge__ops_aten_eq_Scalar(getitem_15, -inf);  getitem_15 = None
    aten_full_like_default_1 = executorch_exir_dialects_edge__ops_aten_full_like_default(getitem_16, 0, pin_memory = False, memory_format = torch.preserve_format)
    aten_logical_not_default = executorch_exir_dialects_edge__ops_aten_logical_not_default(aten_eq_scalar);  aten_eq_scalar = None
    aten_any_dim = executorch_exir_dialects_edge__ops_aten_any_dim(aten_logical_not_default, -1, True);  aten_logical_not_default = None
    aten_logical_not_default_1 = executorch_exir_dialects_edge__ops_aten_logical_not_default(aten_any_dim);  aten_any_dim = None
    aten_where_self_1 = executorch_exir_dialects_edge__ops_aten_where_self(aten_logical_not_default_1, aten_full_like_default_1, getitem_16);  aten_logical_not_default_1 = aten_full_like_default_1 = getitem_16 = None
    executorch_call_delegate_3 = torch.ops.higher_order.executorch_call_delegate(lowered_module_3, getitem_23, aten_where_self_1, getitem_22);  lowered_module_3 = getitem_23 = aten_where_self_1 = getitem_22 = None
    getitem_17 = executorch_call_delegate_3[0]
    getitem_18 = executorch_call_delegate_3[1]
    getitem_19 = executorch_call_delegate_3[2]
    getitem_20 = executorch_call_delegate_3[3];  executorch_call_delegate_3 = None
    aten_mul_scalar_2 = executorch_exir_dialects_edge__ops_aten_mul_Scalar(getitem_19, 0.7071067811865476);  getitem_19 = None
    aten_mul_scalar_3 = executorch_exir_dialects_edge__ops_aten_mul_Scalar(getitem_20, 0.7071067811865476);  getitem_20 = None
    executorch_call_delegate = torch.ops.higher_order.executorch_call_delegate(lowered_module_0, aten_where_self_2, aten_mul_scalar_2, aten_mul_scalar_3);  lowered_module_0 = aten_where_self_2 = aten_mul_scalar_2 = aten_mul_scalar_3 = None
    getitem_12 = executorch_call_delegate[0]
    getitem_13 = executorch_call_delegate[1];  executorch_call_delegate = None
    aten_eq_scalar_1 = executorch_exir_dialects_edge__ops_aten_eq_Scalar(getitem_12, -inf);  getitem_12 = None
    aten_full_like_default_3 = executorch_exir_dialects_edge__ops_aten_full_like_default(getitem_13, 0, pin_memory = False, memory_format = torch.preserve_format)
    aten_logical_not_default_2 = executorch_exir_dialects_edge__ops_aten_logical_not_default(aten_eq_scalar_1);  aten_eq_scalar_1 = None
    aten_any_dim_1 = executorch_exir_dialects_edge__ops_aten_any_dim(aten_logical_not_default_2, -1, True);  aten_logical_not_default_2 = None
    aten_logical_not_default_3 = executorch_exir_dialects_edge__ops_aten_logical_not_default(aten_any_dim_1);  aten_any_dim_1 = None                                                                                                                     aten_where_self_3 = executorch_exir_dialects_edge__ops_aten_where_self(aten_logical_not_default_3, aten_full_like_default_3, getitem_13);  aten_logical_not_default_3 = aten_full_like_default_3 = getitem_13 = None
    executorch_call_delegate_1 = torch.ops.higher_order.executorch_call_delegate(lowered_module_1, getitem_18, aten_where_self_3, getitem_17);  lowered_module_1 = getitem_18 = aten_where_self_3 = getitem_17 = None
    getitem_14 = executorch_call_delegate_1[0];  executorch_call_delegate_1 = None
    return (getitem_14, lengths)

old_code.py

def forward(self, b_conformer_layers_0_conv_module_sequential_3_num_batches_tracked, b_conformer_layers_1_conv_module_sequential_3_num_batches_tracked, input, lengths):
    input_1 = input
    aten_arange_start_step = executorch_exir_dialects_edge__ops_aten_arange_start_step(0, 97, dtype = torch.int32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
    scalar_tensor = torch.ops.aten.scalar_tensor.default(-inf, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
    scalar_tensor_1 = torch.ops.aten.scalar_tensor.default(-inf, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
    lowered_module_0 = self.lowered_module_0
    lowered_module_1 = self.lowered_module_1
    lowered_module_2 = self.lowered_module_2
    lowered_module_3 = self.lowered_module_3
    aten_max_default = executorch_exir_dialects_edge__ops_aten_max_default(lengths)
    lowered_module_4 = self.lowered_module_4
    executorch_call_delegate_4 = torch.ops.higher_order.executorch_call_delegate(lowered_module_4, input_1, lengths, aten_arange_start_step);  lowered_module_4 = input_1 = aten_arange_start_step = None
    _local_scalar_dense = torch.ops.aten._local_scalar_dense.default(aten_max_default);  aten_max_default = None
    eq_3 = _local_scalar_dense == 97
    _assert_scalar_11 = torch.ops.aten._assert_scalar.default(eq_3, "Runtime assertion failed for expression Eq(u0, 97) on node 'eq'");  eq_3 = _assert_scalar_11 = None
    le_3 = _local_scalar_dense <= 97
    _assert_scalar_10 = torch.ops.aten._assert_scalar.default(le_3, "Runtime assertion failed for expression u0 <= 97 on node 'le'");  le_3 = _assert_scalar_10 = None
    ge_3 = _local_scalar_dense >= 97
    _assert_scalar_9 = torch.ops.aten._assert_scalar.default(ge_3, "Runtime assertion failed for expression u0 >= 97 on node 'ge_1'");  ge_3 = _assert_scalar_9 = None
    eq_2 = _local_scalar_dense == 97
    _assert_scalar_8 = torch.ops.aten._assert_scalar.default(eq_2, "Runtime assertion failed for expression Eq(u0, 97) on node 'eq_1'");  eq_2 = _assert_scalar_8 = None
    le_2 = _local_scalar_dense <= 97
    _assert_scalar_7 = torch.ops.aten._assert_scalar.default(le_2, "Runtime assertion failed for expression u0 <= 97 on node 'le_1'");  le_2 = _assert_scalar_7 = None
    ge_2 = _local_scalar_dense >= 97
    _assert_scalar_6 = torch.ops.aten._assert_scalar.default(ge_2, "Runtime assertion failed for expression u0 >= 97 on node 'ge_2'");  ge_2 = _assert_scalar_6 = None
    eq_1 = _local_scalar_dense == 97
    _assert_scalar_5 = torch.ops.aten._assert_scalar.default(eq_1, "Runtime assertion failed for expression Eq(u0, 97) on node 'eq_4'");  eq_1 = _assert_scalar_5 = None
    le_1 = _local_scalar_dense <= 97
    _assert_scalar_4 = torch.ops.aten._assert_scalar.default(le_1, "Runtime assertion failed for expression u0 <= 97 on node 'le_2'");  le_1 = _assert_scalar_4 = None
    ge_1 = _local_scalar_dense >= 97
    _assert_scalar_3 = torch.ops.aten._assert_scalar.default(ge_1, "Runtime assertion failed for expression u0 >= 97 on node 'ge_3'");  ge_1 = _assert_scalar_3 = None
    eq = _local_scalar_dense == 97
    _assert_scalar_2 = torch.ops.aten._assert_scalar.default(eq, "Runtime assertion failed for expression Eq(u0, 97) on node 'eq_5'");  eq = _assert_scalar_2 = None
    le = _local_scalar_dense <= 97
    _assert_scalar_1 = torch.ops.aten._assert_scalar.default(le, "Runtime assertion failed for expression u0 <= 97 on node 'le_3'");  le = _assert_scalar_1 = None
    ge = _local_scalar_dense >= 97
    _assert_scalar = torch.ops.aten._assert_scalar.default(ge, "Runtime assertion failed for expression u0 >= 97 on node 'ge_4'");  ge = _assert_scalar = None
    sym_constrain_range_for_size = torch.ops.aten.sym_constrain_range_for_size.default(_local_scalar_dense);  _local_scalar_dense = sym_constrain_range_for_size = None
    getitem_21 = executorch_call_delegate_4[0]
    getitem_22 = executorch_call_delegate_4[1]
    getitem_23 = executorch_call_delegate_4[2]
    getitem_24 = executorch_call_delegate_4[3]
    getitem_25 = executorch_call_delegate_4[4];  executorch_call_delegate_4 = None
    aten_full_like_default = executorch_exir_dialects_edge__ops_aten_full_like_default(getitem_21, 0, dtype = torch.float32, pin_memory = False, memory_format = torch.preserve_format)
    aten_full_like_default_2 = executorch_exir_dialects_edge__ops_aten_full_like_default(getitem_21, 0, dtype = torch.float32, pin_memory = False, memory_format = torch.preserve_format)
    aten_mul_scalar = executorch_exir_dialects_edge__ops_aten_mul_Scalar(getitem_24, 0.7071067811865476);  getitem_24 = None
    aten_mul_scalar_1 = executorch_exir_dialects_edge__ops_aten_mul_Scalar(getitem_25, 0.7071067811865476);  getitem_25 = None
    aten_where_self = executorch_exir_dialects_edge__ops_aten_where_self(getitem_21, scalar_tensor, aten_full_like_default);  scalar_tensor = aten_full_like_default = None
    aten_where_self_2 = executorch_exir_dialects_edge__ops_aten_where_self(getitem_21, scalar_tensor_1, aten_full_like_default_2);  getitem_21 = scalar_tensor_1 = aten_full_like_default_2 = None
    executorch_call_delegate_2 = torch.ops.higher_order.executorch_call_delegate(lowered_module_2, aten_where_self, aten_mul_scalar, aten_mul_scalar_1);  lowered_module_2 = aten_where_self = aten_mul_scalar = aten_mul_scalar_1 = None
    getitem_15 = executorch_call_delegate_2[0]
    getitem_16 = executorch_call_delegate_2[1];  executorch_call_delegate_2 = None
    aten_eq_scalar = executorch_exir_dialects_edge__ops_aten_eq_Scalar(getitem_15, -inf);  getitem_15 = None
    aten_full_like_default_1 = executorch_exir_dialects_edge__ops_aten_full_like_default(getitem_16, 0, pin_memory = False, memory_format = torch.preserve_format)
    aten_logical_not_default = executorch_exir_dialects_edge__ops_aten_logical_not_default(aten_eq_scalar);  aten_eq_scalar = None
    aten_any_dim = executorch_exir_dialects_edge__ops_aten_any_dim(aten_logical_not_default, -1, True);  aten_logical_not_default = None
    aten_logical_not_default_1 = executorch_exir_dialects_edge__ops_aten_logical_not_default(aten_any_dim);  aten_any_dim = None
    aten_where_self_1 = executorch_exir_dialects_edge__ops_aten_where_self(aten_logical_not_default_1, aten_full_like_default_1, getitem_16);  aten_logical_not_default_1 = aten_full_like_default_1 = getitem_16 = None
    executorch_call_delegate_3 = torch.ops.higher_order.executorch_call_delegate(lowered_module_3, getitem_23, aten_where_self_1, getitem_22);  lowered_module_3 = getitem_23 = aten_where_self_1 = getitem_22 = None
    getitem_17 = executorch_call_delegate_3[0]
    getitem_18 = executorch_call_delegate_3[1]
    getitem_19 = executorch_call_delegate_3[2]
    getitem_20 = executorch_call_delegate_3[3];  executorch_call_delegate_3 = None
    aten_mul_scalar_2 = executorch_exir_dialects_edge__ops_aten_mul_Scalar(getitem_19, 0.7071067811865476);  getitem_19 = None
    aten_mul_scalar_3 = executorch_exir_dialects_edge__ops_aten_mul_Scalar(getitem_20, 0.7071067811865476);  getitem_20 = None
    executorch_call_delegate = torch.ops.higher_order.executorch_call_delegate(lowered_module_0, aten_where_self_2, aten_mul_scalar_2, aten_mul_scalar_3);  lowered_module_0 = aten_where_self_2 = aten_mul_scalar_2 = aten_mul_scalar_3 = None
    getitem_12 = executorch_call_delegate[0]
    getitem_13 = executorch_call_delegate[1];  executorch_call_delegate = None
    aten_eq_scalar_1 = executorch_exir_dialects_edge__ops_aten_eq_Scalar(getitem_12, -inf);  getitem_12 = None
    aten_full_like_default_3 = executorch_exir_dialects_edge__ops_aten_full_like_default(getitem_13, 0, pin_memory = False, memory_format = torch.preserve_format)
    aten_logical_not_default_2 = executorch_exir_dialects_edge__ops_aten_logical_not_default(aten_eq_scalar_1);  aten_eq_scalar_1 = None
    aten_any_dim_1 = executorch_exir_dialects_edge__ops_aten_any_dim(aten_logical_not_default_2, -1, True);  aten_logical_not_default_2 = None
    aten_logical_not_default_3 = executorch_exir_dialects_edge__ops_aten_logical_not_default(aten_any_dim_1);  aten_any_dim_1 = None
    aten_where_self_3 = executorch_exir_dialects_edge__ops_aten_where_self(aten_logical_not_default_3, aten_full_like_default_3, getitem_13);  aten_logical_not_default_3 = aten_full_like_default_3 = getitem_13 = None
    executorch_call_delegate_1 = torch.ops.higher_order.executorch_call_delegate(lowered_module_1, getitem_18, aten_where_self_3, getitem_17);  lowered_module_1 = getitem_18 = aten_where_self_3 = getitem_17 = None
    getitem_14 = executorch_call_delegate_1[0];  executorch_call_delegate_1 = None
    return (getitem_14, lengths)

It looks like you're dealing with an auto-generated PyTorch model transformation and want to compare new_code.py with old_code.py. Do you need a direct diff analysis, performance evaluation, or debugging for a specific issue? Let me know how you'd like to proceed!