#6633: Update data gen func that fill the constant val

tests/tt_eager/python_api_testing/unit_testing/backward_ops/utility_funcs.py

@@ -11,6 +11,15 @@
 )
 
 
+def data_gen_pt_tt(input_shapes, device, required_grad=False):
+    torch.manual_seed(213919)
+    pt_tensor = torch.randn(input_shapes, requires_grad=required_grad).bfloat16()
+    tt_tensor = (
+        tt_lib.tensor.Tensor(pt_tensor, tt_lib.tensor.DataType.BFLOAT16).to(tt_lib.tensor.Layout.TILE).to(device)
+    )
+    return pt_tensor, tt_tensor
+
+
 def data_gen_pt_tt(input_shapes, low, high, device, required_grad=False):
     assert high > low, "Incorrect range provided"
     torch.manual_seed(213919)
@@ -21,6 +30,28 @@ def data_gen_pt_tt(input_shapes, low, high, device, required_grad=False):
     return pt_tensor, tt_tensor
 
 
+def data_gen_with_val(input_shapes, device, required_grad=False, val=1):
+    pt_tensor = (torch.ones(input_shapes, requires_grad=required_grad) * val).bfloat16()
+    tt_tensor = (
+        tt_lib.tensor.Tensor(pt_tensor, tt_lib.tensor.DataType.BFLOAT16).to(tt_lib.tensor.Layout.TILE).to(device)
+    )
+    return pt_tensor, tt_tensor
+
+
+def compare_results(tt_tensor, golden_tensor, pcc=0.99):
+    status = True
+    for i in range(len(tt_tensor)):
+        tt_out_tensor = tt_tensor[i].cpu().to(tt_lib.tensor.Layout.ROW_MAJOR).to_torch()
+        pt_out_tensor = golden_tensor[i]
+        comp_pass, comp_out = comparison_funcs.comp_pcc(pt_out_tensor, tt_out_tensor, pcc=pcc)
+        comp_all, _ = comparison_funcs.comp_allclose(pt_out_tensor, tt_out_tensor, atol=4, rtol=1e-1)
+        logger.debug(comp_pass)
+        logger.debug(comp_all)
+        logger.debug(comp_out)
+        status = status & (comp_pass | comp_all)
+    return status
+
+
 def compare_pcc(tt_tensor, golden_tensor, pcc=0.99):
     status = True
     for i in range(len(tt_tensor)):