diff --git a/docs/source/ttnn/ttnn/api.rst b/docs/source/ttnn/ttnn/api.rst
index 0ae727680e2..7ac786bebb7 100644
--- a/docs/source/ttnn/ttnn/api.rst
+++ b/docs/source/ttnn/ttnn/api.rst
@@ -93,7 +93,6 @@ Pointwise Unary
 
    ttnn.abs
    ttnn.acos
-   ttnn.logical_not_
    ttnn.acosh
    ttnn.asin
    ttnn.asinh
@@ -152,6 +151,7 @@ Pointwise Unary
    ttnn.log2
    ttnn.log_sigmoid
    ttnn.logical_not
+   ttnn.logical_not_
    ttnn.logit
    ttnn.ltz
    ttnn.mish
diff --git a/tests/sweep_framework/sweeps/eltwise/unary/cosh/cosh.py b/tests/sweep_framework/sweeps/eltwise/unary/cosh/cosh.py
index 2c01010ede0..f78f7365c4a 100644
--- a/tests/sweep_framework/sweeps/eltwise/unary/cosh/cosh.py
+++ b/tests/sweep_framework/sweeps/eltwise/unary/cosh/cosh.py
@@ -35,8 +35,8 @@
 # If invalidated, the vector will still be stored but will be skipped.
 # Returns False, None if the vector is valid, and True, str with a reason for invalidation if it is invalid.
 def invalidate_vector(test_vector) -> Tuple[bool, Optional[str]]:
-    if test_vector["input_layout"] == ttnn.ROW_MAJOR_LAYOUT or test_vector["input_dtype"] == ttnn.bfloat8_b:
-        return True, "ROW_MAJOR_LAYOUT and ttnn.bfloat8_b are not supported"
+    if test_vector["input_layout"] == ttnn.ROW_MAJOR_LAYOUT:
+        return True, "ROW_MAJOR_LAYOUT is not supported"
     return False, None
 
 
diff --git a/tests/sweep_framework/sweeps/eltwise/unary/log1p/log1p.py b/tests/sweep_framework/sweeps/eltwise/unary/log1p/log1p.py
index a188e346f78..27b1cd2119e 100644
--- a/tests/sweep_framework/sweeps/eltwise/unary/log1p/log1p.py
+++ b/tests/sweep_framework/sweeps/eltwise/unary/log1p/log1p.py
@@ -34,8 +34,8 @@
 # If invalidated, the vector will still be stored but will be skipped.
 # Returns False, None if the vector is valid, and True, str with a reason for invalidation if it is invalid.
 def invalidate_vector(test_vector) -> Tuple[bool, Optional[str]]:
-    if test_vector["input_layout"] == ttnn.ROW_MAJOR_LAYOUT or test_vector["input_dtype"] == ttnn.bfloat8_b:
-        return True, "Row Major layout and bfloat8_b are not supported"
+    if test_vector["input_layout"] == ttnn.ROW_MAJOR_LAYOUT:
+        return True, "Row Major layout is not supported"
     return False, None
 
 
diff --git a/tests/sweep_framework/sweeps/eltwise/unary/sinh/sinh.py b/tests/sweep_framework/sweeps/eltwise/unary/sinh/sinh.py
index fa08d9ea184..7cf8936d544 100644
--- a/tests/sweep_framework/sweeps/eltwise/unary/sinh/sinh.py
+++ b/tests/sweep_framework/sweeps/eltwise/unary/sinh/sinh.py
@@ -44,8 +44,8 @@
 # If invalidated, the vector will still be stored but will be skipped.
 # Returns False, None if the vector is valid, and True, str with a reason for invalidation if it is invalid.
 def invalidate_vector(test_vector) -> Tuple[bool, Optional[str]]:
-    if test_vector["input_layout"] == ttnn.ROW_MAJOR_LAYOUT or test_vector["input_dtype"] == ttnn.bfloat8_b:
-        return True, "ROW_MAJOR_LAYOUT and ttnn.bfloat8_b are not supported"
+    if test_vector["input_layout"] == ttnn.ROW_MAJOR_LAYOUT:
+        return True, "ROW_MAJOR_LAYOUT is not supported"
     return False, None
 
 
diff --git a/ttnn/cpp/ttnn/operations/eltwise/unary/unary_pybind.hpp b/ttnn/cpp/ttnn/operations/eltwise/unary/unary_pybind.hpp
index f22fb9008f3..cc2ab8a7fd4 100644
--- a/ttnn/cpp/ttnn/operations/eltwise/unary/unary_pybind.hpp
+++ b/ttnn/cpp/ttnn/operations/eltwise/unary/unary_pybind.hpp
@@ -999,7 +999,16 @@ void bind_power(py::module& module, const unary_operation_t& operation, const st
 }
 
 template <typename unary_operation_t>
-void bind_unary_composite(py::module& module, const unary_operation_t& operation, const std::string& description, const std::string& range = "", const std::string& supported_dtype = "BFLOAT16", const std::string& supported_layout = "TILE", const std::string& supported_rank = "2,3,4", const std::string& info_doc = "") {
+void bind_unary_composite(
+    py::module& module,
+    const unary_operation_t& operation,
+    const std::string& description,
+    const std::string& range = "",
+    const std::string& supported_dtype = "BFLOAT16",
+    const std::string& supported_layout = "TILE",
+    const std::string& supported_rank = "2, 3, 4",
+    const std::string& note = "",
+    const std::string& example_tensor = "torch.rand([2, 2], dtype=torch.bfloat16)") {
     auto doc = fmt::format(
         R"doc(
         {2}
@@ -1008,7 +1017,7 @@ void bind_unary_composite(py::module& module, const unary_operation_t& operation
             input_tensor (ttnn.Tensor): the input tensor. {3}
 
         Keyword Args:
-            memory_config (ttnn.MemoryConfig, optional): Memory configuration for the operation. Defaults to `None`.
+            memory_config (ttnn.MemoryConfig, optional): memory configuration for the operation. Defaults to `None`.
 
         Returns:
             ttnn.Tensor: the output tensor.
@@ -1029,7 +1038,7 @@ void bind_unary_composite(py::module& module, const unary_operation_t& operation
             {7}
 
         Example:
-            >>> tensor = ttnn.from_torch(torch.tensor((1, 2), dtype=torch.bfloat16), device=device)
+            >>> tensor = ttnn.from_torch({8}, layout=ttnn.TILE_LAYOUT, device=device)
             >>> output = {1}(tensor)
         )doc",
         operation.base_name(),
@@ -1039,7 +1048,8 @@ void bind_unary_composite(py::module& module, const unary_operation_t& operation
         supported_dtype,
         supported_layout,
         supported_rank,
-        info_doc);
+        note,
+        example_tensor);
 
     bind_registered_operation(
         module,
@@ -1926,33 +1936,36 @@ void py_module(py::module& module) {
     detail::bind_power(module, ttnn::pow, R"doc(BFLOAT16, BFLOAT8_B)doc");
 
     // unary composite imported into ttnn
-    detail::bind_unary_composite(module, ttnn::deg2rad, R"doc(Performs deg2rad function on :attr:`input_tensor`.)doc");
-    detail::bind_unary_composite(module, ttnn::rad2deg, R"doc(Performs rad2deg function on :attr:`input_tensor`.)doc");
-    detail::bind_unary_composite(module, ttnn::tanhshrink, R"doc(Performs tanhshrink function on :attr:`input_tensor`.)doc");
-    detail::bind_unary_composite(module, ttnn::acosh, R"doc(Performs acosh function on :attr:`input_tensor`.)doc", "",R"doc(BFLOAT16)doc",R"doc(TILE)doc", R"doc(2, 3, 4)doc",
+    detail::bind_unary_composite(module, ttnn::deg2rad, R"doc(Performs deg2rad function on :attr:`input_tensor`.)doc", "", R"doc(BFLOAT16, BFLOAT8_B)doc");
+    detail::bind_unary_composite(module, ttnn::rad2deg, R"doc(Performs rad2deg function on :attr:`input_tensor`.)doc", "", R"doc(BFLOAT16, BFLOAT8_B)doc");
+    detail::bind_unary_composite(module, ttnn::tanhshrink, R"doc(Performs tanhshrink function on :attr:`input_tensor`.)doc", "", R"doc(BFLOAT16, BFLOAT8_B)doc");
+    detail::bind_unary_composite(module, ttnn::acosh, R"doc(Performs acosh function on :attr:`input_tensor`.)doc", "", R"doc(BFLOAT16)doc", R"doc(TILE)doc", R"doc(2, 3, 4)doc",
         R"doc(System memory is not supported.)doc");
-    detail::bind_unary_composite(module, ttnn::asinh, R"doc(Performs asinh function on :attr:`input_tensor`.)doc", "",R"doc(BFLOAT16)doc", R"doc(TILE)doc", R"doc(2, 3, 4)doc",
+    detail::bind_unary_composite(module, ttnn::asinh, R"doc(Performs asinh function on :attr:`input_tensor`.)doc", "", R"doc(BFLOAT16)doc", R"doc(TILE)doc", R"doc(2, 3, 4)doc",
         R"doc(System memory is not supported.)doc");
-    detail::bind_unary_composite(module, ttnn::atanh, R"doc(Performs atanh function on :attr:`input_tensor`.)doc", "",R"doc(BFLOAT16)doc", R"doc(TILE)doc", R"doc(2, 3, 4)doc",
+    detail::bind_unary_composite(module, ttnn::atanh, R"doc(Performs atanh function on :attr:`input_tensor`.)doc", "", R"doc(BFLOAT16)doc", R"doc(TILE)doc", R"doc(2, 3, 4)doc",
         R"doc(System memory is not supported.)doc");
     detail::bind_unary_composite(module, ttnn::cbrt, R"doc(Performs cbrt function on :attr:`input_tensor`.)doc");
-    detail::bind_unary_composite(module, ttnn::cosh, R"doc(Performs cosh function on :attr:`input_tensor`.)doc", "[supported range -9 to 9]",R"doc(BFLOAT16)doc");
-    detail::bind_unary_composite(module, ttnn::digamma, R"doc(Performs digamma function on :attr:`input_tensor`.)doc", "[supported for value greater than 0]");
-    detail::bind_unary_composite(module, ttnn::lgamma, R"doc(Performs lgamma function on :attr:`input_tensor`.)doc", "[supported for value greater than 0]", R"doc(BFLOAT16)doc");
-    detail::bind_unary_composite(module, ttnn::log1p, R"doc(Performs log1p function on :attr:`input_tensor`.)doc", "[supported range -1 to 1]", R"doc(BFLOAT16)doc");
-    detail::bind_unary_composite(module, ttnn::mish, R"doc(Performs mish function on :attr:`input_tensor`.)doc", "[supported range -20 to inf]", R"doc(BFLOAT16, BFLOAT8_B)doc", R"doc(TILE)doc", R"doc(2, 3, 4)doc",
-        R"doc(Not supported on Grayskull.)doc");
-    detail::bind_unary_composite(module, ttnn::multigammaln, R"doc(Performs multigammaln function on :attr:`input_tensor`.)doc", "[supported range 1.6 to inf]", R"doc(BFLOAT16)doc");
-
-    detail::bind_unary_composite(module, ttnn::sinh, R"doc(Performs sinh function on :attr:`input_tensor`.)doc", "[supported range -88 to 88]", R"doc(BFLOAT16)doc");
+    detail::bind_unary_composite(module, ttnn::cosh, R"doc(Performs cosh function on :attr:`input_tensor`.)doc", "[supported range -9 to 9]", R"doc(BFLOAT16, BFLOAT8_B)doc");
+    detail::bind_unary_composite(module, ttnn::digamma, R"doc(Performs digamma function on :attr:`input_tensor`.)doc", "[supported for values greater than 0].",
+        R"doc(BFLOAT16, BFLOAT8_B)doc", R"doc(TILE)doc", R"doc(2, 3, 4)doc", "", R"doc(torch.tensor([[2, 3], [4, 5]], dtype=torch.bfloat16))doc");
+    detail::bind_unary_composite(module, ttnn::lgamma, R"doc(Performs lgamma function on :attr:`input_tensor`.)doc", "[supported for value greater than 0].", R"doc(BFLOAT16)doc");
+    detail::bind_unary_composite(module, ttnn::log1p, R"doc(Performs log1p function on :attr:`input_tensor`.)doc", "[supported range -1 to 1].", R"doc(BFLOAT16, BFLOAT8_B)doc");
+    detail::bind_unary_composite(module, ttnn::mish, R"doc(Performs mish function on :attr:`input_tensor`.)doc", "[supported range -20 to inf].", R"doc(BFLOAT16, BFLOAT8_B)doc",
+        R"doc(TILE)doc", R"doc(2, 3, 4)doc", R"doc(Not supported on Grayskull.)doc");
+    detail::bind_unary_composite(module, ttnn::multigammaln, R"doc(Performs multigammaln function on :attr:`input_tensor`.)doc", "[supported range 1.6 to inf].", R"doc(BFLOAT16)doc",
+        R"doc(TILE)doc", R"doc(2, 3, 4)doc", "", R"doc(torch.tensor([[2, 3], [4, 5]], dtype=torch.bfloat16))doc");
+    detail::bind_unary_composite(module, ttnn::sinh, R"doc(Performs sinh function on :attr:`input_tensor`.)doc", "[supported range -9 to 9].", R"doc(BFLOAT16, BFLOAT8_B)doc");
     detail::bind_unary_composite(module, ttnn::softsign, R"doc(Performs softsign function on :attr:`input_tensor`.)doc");
-    detail::bind_unary_composite(module, ttnn::swish, R"doc(Performs swish function on :attr:`input_tensor`.)doc");
+    detail::bind_unary_composite(module, ttnn::swish, R"doc(Performs swish function on :attr:`input_tensor`.)doc", "", R"doc(BFLOAT16, BFLOAT8_B)doc");
     detail::bind_unary_composite(module, ttnn::var_hw, R"doc(Performs var_hw function on :attr:`input_tensor`.)doc");
     detail::bind_unary_composite(module, ttnn::std_hw, R"doc(Performs std_hw function on :attr:`input_tensor`.)doc");
-    detail::bind_unary_composite(module, ttnn::normalize_hw, R"doc(Performs normalize_hw function on :attr:`input_tensor`.)doc", "",R"doc(BFLOAT16)doc", R"doc(ROW_MAJOR, TILE)doc", R"doc(4)doc");
-    detail::bind_unary_composite(module, ttnn::logical_not_, R"doc(Performs logical_not inplace function on :attr:`input_tensor`.)doc");
-    detail::bind_unary_composite(module, ttnn::normalize_global, R"doc(Performs normalize_global function on :attr:`input_tensor`.)doc", "",R"doc(BFLOAT16)doc", R"doc(ROW_MAJOR, TILE)doc", R"doc(4)doc");
-    detail::bind_unary_composite(module, ttnn::frac, R"doc(Performs frac function on :attr:`input_tensor`.)doc");
+    detail::bind_unary_composite(module, ttnn::normalize_hw, R"doc(Performs normalize_hw function on :attr:`input_tensor`.)doc", "", R"doc(BFLOAT16)doc", R"doc(ROW_MAJOR, TILE)doc",
+        R"doc(4)doc", "", R"doc(torch.rand([1, 1, 32, 32], dtype=torch.bfloat16))doc");
+    detail::bind_unary_composite(module, ttnn::logical_not_, R"doc(Performs logical_not inplace function on :attr:`input_tensor`.)doc", "", R"doc(BFLOAT16, BFLOAT8_B)doc");
+    detail::bind_unary_composite(module, ttnn::normalize_global, R"doc(Performs normalize_global function on :attr:`input_tensor`.)doc", "", R"doc(BFLOAT16)doc",
+        R"doc(ROW_MAJOR, TILE)doc", R"doc(4)doc", "", R"doc(torch.rand([1, 1, 32, 32], dtype=torch.bfloat16))doc");
+    detail::bind_unary_composite(module, ttnn::frac, R"doc(Performs frac function on :attr:`input_tensor`.)doc",  "", R"doc(BFLOAT16, BFLOAT8_B)doc");
     detail::bind_unary_composite_operation(module, ttnn::trunc, R"doc(Not supported for grayskull.)doc");
 
     detail::bind_unary_composite_floats_with_default(