diff --git a/forge/test/operators/pytorch/reduce/__init__.py b/forge/test/operators/pytorch/reduce/__init__.py
new file mode 100644
index 00000000..2332467e
--- /dev/null
+++ b/forge/test/operators/pytorch/reduce/__init__.py
@@ -0,0 +1,3 @@
+# SPDX-FileCopyrightText: © 2024 Tenstorrent AI ULC
+
+# SPDX-License-Identifier: Apache-2.0
diff --git a/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_df_mf_bad_data_type_error.txt b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_df_mf_bad_data_type_error.txt
new file mode 100644
index 00000000..e797c8e2
--- /dev/null
+++ b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_df_mf_bad_data_type_error.txt
@@ -0,0 +1,50 @@
+E       RuntimeError: mean(): could not infer output dtype. Input dtype must be either a floating point or complex dtype. Got: Int
+
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(1, 2, 3, 4)-RawUInt8-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-RawUInt8-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-RawUInt8-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-RawUInt8-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 2, 3, 4)-RawUInt8-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-RawUInt8-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': True}-(1, 2, 3, 4)-RawUInt8-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-RawUInt8-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(1, 2, 3, 4)-RawUInt16-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-RawUInt16-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-RawUInt16-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-RawUInt16-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 2, 3, 4)-RawUInt16-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-RawUInt16-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': True}-(1, 2, 3, 4)-RawUInt16-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-RawUInt16-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(1, 2, 3, 4)-RawUInt32-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-RawUInt32-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-RawUInt32-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-RawUInt32-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 2, 3, 4)-RawUInt32-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-RawUInt32-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': True}-(1, 2, 3, 4)-RawUInt32-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-RawUInt32-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(1, 2, 3, 4)-Int8-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Int8-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Int8-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Int8-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 2, 3, 4)-Int8-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Int8-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': True}-(1, 2, 3, 4)-Int8-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Int8-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(1, 2, 3, 4)-UInt16-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-UInt16-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-UInt16-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-UInt16-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 2, 3, 4)-UInt16-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-UInt16-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': True}-(1, 2, 3, 4)-UInt16-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-UInt16-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(1, 2, 3, 4)-Int32-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Int32-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Int32-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Int32-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 2, 3, 4)-Int32-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Int32-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': True}-(1, 2, 3, 4)-Int32-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Int32-HiFi4
diff --git a/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_df_mf_pcc_error.txt b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_df_mf_pcc_error.txt
new file mode 100644
index 00000000..6c8b7627
--- /dev/null
+++ b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_df_mf_pcc_error.txt
@@ -0,0 +1,14 @@
+E       AssertionError: PCC check failed
+
+sum-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 2, 3, 4)-RawUInt8-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': True}-(1, 2, 3, 4)-RawUInt8-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 2, 3, 4)-RawUInt16-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': True}-(1, 2, 3, 4)-RawUInt16-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 2, 3, 4)-RawUInt32-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': True}-(1, 2, 3, 4)-RawUInt32-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 2, 3, 4)-Int8-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': True}-(1, 2, 3, 4)-Int8-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 2, 3, 4)-UInt16-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': True}-(1, 2, 3, 4)-UInt16-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 2, 3, 4)-Int32-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': True}-(1, 2, 3, 4)-Int32-HiFi4
diff --git a/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_df_mf_tt_throw_reshape_error.txt b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_df_mf_tt_throw_reshape_error.txt
new file mode 100644
index 00000000..190e47cd
--- /dev/null
+++ b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_df_mf_tt_throw_reshape_error.txt
@@ -0,0 +1,101 @@
+E       RuntimeError: TT_THROW @ /home/kmilanovic/src/ttforge/tt-forge-fe/third_party/tt-mlir/third_party/tt-metal/src/tt-metal/ttnn/cpp/ttnn/operations/core/core.cpp:49: tt::exception
+E       info:
+E       Unable to reshape a tensor in TILE_LAYOUT to non-tile height and width! Please convert the tensor to ROW_MAJOR_LAYOUT first.
+E       backtrace:
+
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Bfp2-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Bfp2-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Bfp2-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Bfp2_b-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Bfp2_b-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Bfp2_b-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Bfp4-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Bfp4-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Bfp4-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Bfp4_b-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Bfp4_b-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Bfp4_b-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Bfp8-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Bfp8-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Bfp8-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Bfp8_b-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Bfp8_b-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Bfp8_b-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Float16-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Float16-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Float16-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Float32-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Float32-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Float32-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Lf8-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Lf8-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Lf8-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-RawUInt8-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-RawUInt8-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-RawUInt8-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-RawUInt16-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-RawUInt16-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-RawUInt16-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-RawUInt32-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-RawUInt32-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-RawUInt32-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Int8-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Int8-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Int8-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-UInt16-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-UInt16-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-UInt16-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Int32-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Int32-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Int32-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Bfp2-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Bfp2-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Bfp2-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Bfp2_b-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Bfp2_b-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Bfp2_b-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Bfp4-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Bfp4-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Bfp4-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Bfp4_b-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Bfp4_b-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Bfp4_b-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Bfp8-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Bfp8-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Bfp8-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Bfp8_b-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Bfp8_b-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Bfp8_b-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Float16-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Float16-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Float16-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Float32-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Float32-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Float32-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Lf8-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Lf8-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Lf8-HiFi4
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-LoFi
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-LoFi
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-LoFi
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi2
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi2
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi2
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi3
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi3
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi3
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi4
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi4
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi4
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-LoFi
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-LoFi
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-LoFi
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi2
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi2
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi2
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi3
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi3
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi3
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi4
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi4
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi4
diff --git a/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_df_mf_tt_throw_unsupported_dim_error.txt b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_df_mf_tt_throw_unsupported_dim_error.txt
new file mode 100644
index 00000000..c01d359b
--- /dev/null
+++ b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_df_mf_tt_throw_unsupported_dim_error.txt
@@ -0,0 +1,69 @@
+E       RuntimeError: TT_THROW @ /home/kmilanovic/src/ttforge/tt-forge-fe/third_party/tt-mlir/third_party/tt-metal/src/tt-metal/ttnn/cpp/ttnn/operations/reduction/generic/generic_reductions.cpp:140: tt::exception
+E       info:
+E       Unsupported dim
+E       backtrace:
+
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Bfp2-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Bfp2-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Bfp2_b-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Bfp2_b-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Bfp4-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Bfp4-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Bfp4_b-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Bfp4_b-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Bfp8-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Bfp8-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Bfp8_b-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Bfp8_b-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Float16-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Float16-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Float32-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Float32-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Lf8-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Lf8-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-RawUInt8-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-RawUInt8-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-RawUInt16-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-RawUInt16-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-RawUInt32-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-RawUInt32-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Int8-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Int8-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-UInt16-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-UInt16-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Int32-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Int32-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Bfp2-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Bfp2-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Bfp2_b-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Bfp2_b-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Bfp4-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Bfp4-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Bfp4_b-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Bfp4_b-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Bfp8-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Bfp8-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Bfp8_b-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Bfp8_b-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Float16-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Float16-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Float32-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Float32-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Lf8-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Lf8-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Float16_b-LoFi
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-LoFi
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Float16_b-HiFi2
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi2
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Float16_b-HiFi3
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi3
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Float16_b-HiFi4
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Float16_b-LoFi
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-LoFi
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Float16_b-HiFi2
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi2
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Float16_b-HiFi3
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi3
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-Float16_b-HiFi4
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-Float16_b-HiFi4
diff --git a/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_pcc_error.txt b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_pcc_error.txt
new file mode 100644
index 00000000..2422c445
--- /dev/null
+++ b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_pcc_error.txt
@@ -0,0 +1,225 @@
+E       AssertionError: PCC check failed
+
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': True}-(1, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': True}-(1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 9920, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(32, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(32, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(64, 160, 96)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': True}-(1, 10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': True}-(1, 1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': True}-(1, 1, 9920, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 32, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 32, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 64, 160, 96)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(12, 64, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 9920, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(32, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(32, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(64, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': True}-(1, 1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 1, 9920, 1)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 32, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 32, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 64, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(12, 64, 160, 96)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': True}-(1, 1, 23)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 64, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 1000, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': True}-(1, 10, 1000)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 9920, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 10000, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(10, 1000, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(32, 32, 64)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(32, 32, 64)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(64, 160, 96)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': True}-(1, 10, 1000, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': True}-(1, 1, 10, 1000)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': True}-(1, 1, 9920, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 32, 32, 64)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 32, 32, 64)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 64, 160, 96)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(12, 64, 160, 96)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(1, 1, 23)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 64, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 1000, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(1, 10, 1000)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 9920, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 10000, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(2, 3, 4)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(2, 3, 4)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(11, 45, 17)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(11, 45, 17)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(11, 1, 23)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(11, 1, 23)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(11, 64, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(11, 64, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(100, 100, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(100, 100, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(10, 1000, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(10, 1000, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(10, 10000, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(10, 10000, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(32, 32, 64)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(32, 32, 64)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(32, 32, 64)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(32, 32, 64)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(64, 160, 96)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(64, 160, 96)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(64, 160, 96)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(11, 17, 41)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(11, 17, 41)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(13, 89, 3)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(13, 89, 3)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(1, 10, 1000, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 3, 'keepdim': True}-(1, 1, 10, 1000)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(1, 1, 9920, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(1, 10, 10000, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 32, 32, 64)-None-None
+sum-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 32, 32, 64)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 64, 160, 96)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 3, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(12, 64, 160, 96)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': True}-(1, 1, 23)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 64, 1)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 1000, 100)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': True}-(1, 10, 1000)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 9920, 1)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 10000, 1)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(10, 1000, 100)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(10, 10000, 1)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(32, 32, 64)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(32, 32, 64)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(64, 160, 96)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': True}-(1, 10, 1000, 100)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': True}-(1, 1, 10, 1000)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': True}-(1, 1, 9920, 1)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': True}-(1, 10, 10000, 1)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 32, 32, 64)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 32, 32, 64)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 64, 160, 96)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(11, 32, 32, 64)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(11, 32, 32, 64)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(12, 64, 160, 96)-None-None
+mean-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 1, 23)-None-None
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 64, 1)-None-None
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 1000, 100)-None-None
+mean-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 10, 1000)-None-None
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 9920, 1)-None-None
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 10000, 1)-None-None
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(10, 1000, 100)-None-None
+mean-FROM_HOST-{'dim': 1, 'keepdim': True}-(10, 10000, 1)-None-None
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(32, 32, 64)-None-None
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(32, 32, 64)-None-None
+mean-FROM_HOST-{'dim': 1, 'keepdim': False}-(64, 160, 96)-None-None
+mean-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 10, 1000, 100)-None-None
+mean-FROM_HOST-{'dim': 3, 'keepdim': True}-(1, 1, 10, 1000)-None-None
+mean-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 1, 9920, 1)-None-None
+mean-FROM_HOST-{'dim': 2, 'keepdim': True}-(1, 10, 10000, 1)-None-None
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 32, 32, 64)-None-None
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 32, 32, 64)-None-None
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 64, 160, 96)-None-None
+mean-FROM_HOST-{'dim': 2, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+mean-FROM_HOST-{'dim': 3, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+mean-FROM_HOST-{'dim': 2, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(11, 32, 32, 64)-None-None
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(11, 32, 32, 64)-None-None
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(12, 64, 160, 96)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': True}-(1, 1, 23)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 64, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 1000, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': True}-(1, 10, 1000)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 9920, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(10, 1000, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(10, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(32, 32, 64)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(32, 32, 64)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(64, 160, 96)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': True}-(1, 10, 1000, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': True}-(1, 1, 10, 1000)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': True}-(1, 1, 9920, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': True}-(1, 10, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 32, 32, 64)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 32, 32, 64)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 64, 160, 96)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(11, 32, 32, 64)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(11, 32, 32, 64)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(12, 64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(1, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 9920, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(1, 10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': True}-(1, 1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(1, 1, 9920, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(1, 10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(11, 32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(11, 32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(12, 64, 160, 96)-None-None
diff --git a/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_reshape1_error.txt b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_reshape1_error.txt
new file mode 100644
index 00000000..2eb4f994
--- /dev/null
+++ b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_reshape1_error.txt
@@ -0,0 +1,916 @@
+E       RuntimeError: TT_THROW @ /home/kmilanovic/src/ttforge/tt-forge-fe/third_party/tt-mlir/third_party/tt-metal/src/tt-metal/ttnn/cpp/ttnn/operations/core/core.cpp:49: tt::exception
+E       info:
+E       Unable to reshape a tensor in TILE_LAYOUT to non-tile height and width! Please convert the tensor to ROW_MAJOR_LAYOUT first.
+
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 9920, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 9920, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 9920, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 160, 96)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 160, 96)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(13, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(13, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(1, 13, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(1, 13, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 13, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(3, 11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(3, 11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(2, 2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(2, 2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(4, 11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(4, 11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(5, 11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(5, 11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(6, 100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(6, 100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(13, 11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(13, 11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(14, 13, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(14, 13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 9920, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 9920, 1)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 9920, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(1, 13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(1, 13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(3, 11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(3, 11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(2, 2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(2, 2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(4, 11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(4, 11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(5, 11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(5, 11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(6, 100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(6, 100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(13, 11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(13, 11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(14, 13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(14, 13, 89, 3)-None-None
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+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(1, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 32, 64)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 32, 64)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 160, 96)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 160, 96)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(1, 17, 41)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 17, 41)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 17, 41)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(1, 89, 3)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 89, 3)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 89, 3)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(2, 3, 4)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(2, 3, 4)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(11, 45, 17)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(11, 45, 17)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(11, 1, 23)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(11, 1, 23)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(11, 64, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(11, 64, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(100, 100, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(100, 100, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(10, 1000, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(10, 1000, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(10, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(10, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(11, 17, 41)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(11, 17, 41)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(13, 89, 3)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(13, 89, 3)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(1, 11, 45, 17)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 11, 45, 17)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 11, 45, 17)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(1, 11, 1, 23)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 11, 1, 23)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 11, 1, 23)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(1, 11, 64, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 11, 64, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 11, 64, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(1, 100, 100, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 100, 100, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 100, 100, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(1, 11, 17, 41)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 11, 17, 41)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 11, 17, 41)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(1, 13, 89, 3)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(1, 13, 89, 3)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 13, 89, 3)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(3, 11, 45, 17)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(3, 11, 45, 17)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(2, 2, 3, 4)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(2, 2, 3, 4)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(4, 11, 1, 23)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(4, 11, 1, 23)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(5, 11, 64, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(5, 11, 64, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(6, 100, 100, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(6, 100, 100, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(13, 11, 17, 41)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(13, 11, 17, 41)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(14, 13, 89, 3)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(14, 13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 9920, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 9920, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 9920, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 1, 9920, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(1, 13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(1, 13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(3, 11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(3, 11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(2, 2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(2, 2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(4, 11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(4, 11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(5, 11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(5, 11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(6, 100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(6, 100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(13, 11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(13, 11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(14, 13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(14, 13, 89, 3)-None-None
diff --git a/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_reshape2_error.txt b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_reshape2_error.txt
new file mode 100644
index 00000000..c98a23de
--- /dev/null
+++ b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_reshape2_error.txt
@@ -0,0 +1,28 @@
+E       RuntimeError: TT_THROW @ /home/kmilanovic/src/ttforge/tt-forge-fe/third_party/tt-mlir/third_party/tt-metal/src/tt-metal/ttnn/cpp/ttnn/operations/core/core.cpp:60: tt::exception
+E       info:
+E       Unable to reshape given tensor!
+
+sum-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(64, 160, 96)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 64, 160, 96)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(12, 64, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 2, 'keepdim': False}-(64, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 64, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 3, 'keepdim': False}-(12, 64, 160, 96)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(64, 160, 96)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 64, 160, 96)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(12, 64, 160, 96)-None-None
+sum-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(64, 160, 96)-None-None
+sum-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 64, 160, 96)-None-None
+sum-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(12, 64, 160, 96)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 2, 'keepdim': False}-(64, 160, 96)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(1, 64, 160, 96)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 3, 'keepdim': False}-(12, 64, 160, 96)-None-None
+mean-FROM_HOST-{'dim': 2, 'keepdim': False}-(64, 160, 96)-None-None
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(1, 64, 160, 96)-None-None
+mean-FROM_HOST-{'dim': 3, 'keepdim': False}-(12, 64, 160, 96)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 2, 'keepdim': False}-(64, 160, 96)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(1, 64, 160, 96)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 3, 'keepdim': False}-(12, 64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 2, 'keepdim': False}-(64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(1, 64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 3, 'keepdim': False}-(12, 64, 160, 96)-None-None
diff --git a/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_unsupported_dim_error.txt b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_unsupported_dim_error.txt
new file mode 100644
index 00000000..b567824f
--- /dev/null
+++ b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_unsupported_dim_error.txt
@@ -0,0 +1,532 @@
+E       RuntimeError: TT_THROW @ /home/kmilanovic/src/ttforge/tt-forge-fe/third_party/tt-mlir/third_party/tt-metal/src/tt-metal/ttnn/cpp/ttnn/operations/reduction/generic/generic_reductions.cpp:140: tt::exception
+E       info:
+E       Unsupported dim
+
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(32, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(32, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(64, 160, 96)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(64, 160, 96)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(13, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(13, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 32, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 32, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 64, 160, 96)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 64, 160, 96)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(1, 13, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(1, 13, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(3, 11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(3, 11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(2, 2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(2, 2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(4, 11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(4, 11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(5, 11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(5, 11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(6, 100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(6, 100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(11, 32, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(12, 64, 160, 96)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(12, 64, 160, 96)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(13, 11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(13, 11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': True}-(14, 13, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 1, 'keepdim': False}-(14, 13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(32, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(32, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(64, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(64, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 32, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 32, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 64, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 64, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(1, 13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(1, 13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(3, 11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(3, 11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(2, 2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(2, 2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(4, 11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(4, 11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(5, 11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(5, 11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(6, 100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(6, 100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(11, 32, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(12, 64, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(12, 64, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(13, 11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(13, 11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': True}-(14, 13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 1, 'keepdim': False}-(14, 13, 89, 3)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(2, 3, 4)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(2, 3, 4)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(11, 45, 17)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(11, 45, 17)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(11, 1, 23)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(11, 1, 23)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(11, 64, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(11, 64, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(100, 100, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(100, 100, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(10, 1000, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(10, 1000, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(10, 10000, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(10, 10000, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(32, 32, 64)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(32, 32, 64)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(64, 160, 96)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(64, 160, 96)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(11, 17, 41)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(11, 17, 41)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(13, 89, 3)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(13, 89, 3)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 11, 45, 17)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 11, 45, 17)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 11, 1, 23)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 11, 1, 23)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 11, 64, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 11, 64, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 100, 100, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 100, 100, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 10, 1000, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 10, 10000, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 32, 32, 64)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 32, 32, 64)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 64, 160, 96)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 64, 160, 96)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 11, 17, 41)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 11, 17, 41)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(1, 13, 89, 3)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(1, 13, 89, 3)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(3, 11, 45, 17)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(3, 11, 45, 17)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(2, 2, 3, 4)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(2, 2, 3, 4)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(4, 11, 1, 23)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(4, 11, 1, 23)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(5, 11, 64, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(5, 11, 64, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(6, 100, 100, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(6, 100, 100, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(11, 32, 32, 64)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(12, 64, 160, 96)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(12, 64, 160, 96)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(13, 11, 17, 41)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(13, 11, 17, 41)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': True}-(14, 13, 89, 3)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 1, 'keepdim': False}-(14, 13, 89, 3)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(2, 3, 4)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(2, 3, 4)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(11, 45, 17)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(11, 45, 17)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(11, 1, 23)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(11, 1, 23)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(11, 64, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(11, 64, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(100, 100, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(100, 100, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(10, 1000, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(10, 1000, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(10, 10000, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(10, 10000, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(32, 32, 64)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(32, 32, 64)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(64, 160, 96)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(64, 160, 96)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(11, 17, 41)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(11, 17, 41)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(13, 89, 3)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(13, 89, 3)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 11, 45, 17)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 11, 45, 17)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 11, 1, 23)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 11, 1, 23)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 11, 64, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 11, 64, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 100, 100, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 100, 100, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 10, 1000, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 10, 10000, 1)-None-None
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+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(1, 13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(1, 13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(3, 11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(3, 11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(2, 2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(2, 2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(4, 11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(4, 11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(5, 11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(5, 11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(6, 100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(6, 100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(11, 32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(11, 32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(12, 64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(12, 64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(13, 11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(13, 11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': True}-(14, 13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 1, 'keepdim': False}-(14, 13, 89, 3)-None-None
diff --git a/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_z_dim_slice_error.txt b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_z_dim_slice_error.txt
new file mode 100644
index 00000000..575b91e6
--- /dev/null
+++ b/forge/test/operators/pytorch/reduce/errors/test_reduce_ids_z_dim_slice_error.txt
@@ -0,0 +1,212 @@
+E           AttributeError: 'TransposeTM' object has no attribute 'z_dim_slice' (via OpType cpp underlying class)
+
+forge/forge/op/eval/interface.py:30: AttributeError
+
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(3, 11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(3, 11, 45, 17)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(2, 2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(2, 2, 3, 4)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(4, 11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(4, 11, 1, 23)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(5, 11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(5, 11, 64, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(6, 100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(6, 100, 100, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(9, 1, 9920, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(11, 32, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(12, 64, 160, 96)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(12, 64, 160, 96)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(13, 11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(13, 11, 17, 41)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(14, 13, 89, 3)-None-None
+sum-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(14, 13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(3, 11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(3, 11, 45, 17)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(2, 2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(2, 2, 3, 4)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(4, 11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(4, 11, 1, 23)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(5, 11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(5, 11, 64, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(6, 100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(6, 100, 100, 100)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(9, 1, 9920, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(11, 32, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(12, 64, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(12, 64, 160, 96)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(13, 11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(13, 11, 17, 41)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': True}-(14, 13, 89, 3)-None-None
+sum-FROM_HOST-{'dim': 0, 'keepdim': False}-(14, 13, 89, 3)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(3, 11, 45, 17)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(3, 11, 45, 17)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(2, 2, 3, 4)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(2, 2, 3, 4)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(4, 11, 1, 23)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(4, 11, 1, 23)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(5, 11, 64, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(5, 11, 64, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(6, 100, 100, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(6, 100, 100, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(9, 1, 9920, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(11, 32, 32, 64)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(12, 64, 160, 96)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(12, 64, 160, 96)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(13, 11, 17, 41)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(13, 11, 17, 41)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(14, 13, 89, 3)-None-None
+sum-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(14, 13, 89, 3)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(3, 11, 45, 17)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(3, 11, 45, 17)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(2, 2, 3, 4)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(2, 2, 3, 4)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(4, 11, 1, 23)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(4, 11, 1, 23)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(5, 11, 64, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(5, 11, 64, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(6, 100, 100, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(6, 100, 100, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(9, 1, 9920, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(11, 32, 32, 64)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(11, 32, 32, 64)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(12, 64, 160, 96)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(12, 64, 160, 96)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(13, 11, 17, 41)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(13, 11, 17, 41)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(14, 13, 89, 3)-None-None
+sum-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(14, 13, 89, 3)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(3, 11, 45, 17)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(3, 11, 45, 17)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(2, 2, 3, 4)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(2, 2, 3, 4)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(4, 11, 1, 23)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(4, 11, 1, 23)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(5, 11, 64, 1)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(5, 11, 64, 1)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(6, 100, 100, 100)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(6, 100, 100, 100)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(9, 1, 9920, 1)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(11, 32, 32, 64)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(11, 32, 32, 64)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(12, 64, 160, 96)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(12, 64, 160, 96)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(13, 11, 17, 41)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(13, 11, 17, 41)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': True}-(14, 13, 89, 3)-None-None
+mean-FROM_ANOTHER_OP-{'dim': 0, 'keepdim': False}-(14, 13, 89, 3)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(3, 11, 45, 17)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(3, 11, 45, 17)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(2, 2, 3, 4)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(2, 2, 3, 4)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(4, 11, 1, 23)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(4, 11, 1, 23)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(5, 11, 64, 1)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(5, 11, 64, 1)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(6, 100, 100, 100)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(6, 100, 100, 100)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(9, 1, 9920, 1)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(11, 32, 32, 64)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(11, 32, 32, 64)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(12, 64, 160, 96)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(12, 64, 160, 96)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(13, 11, 17, 41)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(13, 11, 17, 41)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': True}-(14, 13, 89, 3)-None-None
+mean-FROM_HOST-{'dim': 0, 'keepdim': False}-(14, 13, 89, 3)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(3, 11, 45, 17)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(3, 11, 45, 17)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(2, 2, 3, 4)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(2, 2, 3, 4)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(4, 11, 1, 23)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(4, 11, 1, 23)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(5, 11, 64, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(5, 11, 64, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(6, 100, 100, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(6, 100, 100, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(9, 1, 9920, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(11, 32, 32, 64)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(11, 32, 32, 64)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(12, 64, 160, 96)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(12, 64, 160, 96)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(13, 11, 17, 41)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(13, 11, 17, 41)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': True}-(14, 13, 89, 3)-None-None
+mean-FROM_DRAM_QUEUE-{'dim': 0, 'keepdim': False}-(14, 13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(3, 11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(3, 11, 45, 17)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(2, 2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(2, 2, 3, 4)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(4, 11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(4, 11, 1, 23)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(5, 11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(5, 11, 64, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(6, 100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(6, 100, 100, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(7, 10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(7, 10, 1000, 100)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(8, 1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(8, 1, 10, 1000)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(9, 1, 9920, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(9, 1, 9920, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(10, 10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(10, 10, 10000, 1)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(11, 32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(11, 32, 32, 64)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(12, 64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(12, 64, 160, 96)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(13, 11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(13, 11, 17, 41)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': True}-(14, 13, 89, 3)-None-None
+mean-CONST_EVAL_PASS-{'dim': 0, 'keepdim': False}-(14, 13, 89, 3)-None-None
diff --git a/forge/test/operators/pytorch/reduce/test_reduce.py b/forge/test/operators/pytorch/reduce/test_reduce.py
new file mode 100644
index 00000000..a96fdcff
--- /dev/null
+++ b/forge/test/operators/pytorch/reduce/test_reduce.py
@@ -0,0 +1,377 @@
+# SPDX-FileCopyrightText: © 2024 Tenstorrent AI ULC
+
+# SPDX-License-Identifier: Apache-2.0
+#
+# Tests for testing of reduce operators
+#
+# In this test we test pytorch reduce operators
+
+# GENERAL OP SUPPORT TEST PLAN:
+# 1. Operand type - any supported type
+# 2. Operand source(s):
+# (+)  2.1 From another op
+#       - Operator -> input
+# (+)  2.2 From DRAM queue
+#       - Operator is first node in network
+#       - Input_queue flag = false
+# (+)  2.3 Const Inputs (const eval pass)
+#       - Operator where all inputs are constants.
+# (+)  2.4 From host
+#       - Input tensor as input of network
+#       - Operator is first node in network
+#       - Input_queue flag = true
+# 3 Operand shapes type(s):
+# (+)  3.1 Full tensor (i.e. full expected shape)
+#       - 3-4 by default P1 (high prioriy)
+#       - 2, 5, ++ include P2 (lower prioriy)
+# (+)  3.2 Tensor reduce on one or more dims to 1
+#       - Vector
+#       - Only one dim is not equal to 1
+# (+)  3.3 Scalar P2
+#       - Create tensor of dimension equal to 0 (tensor from scalar) or just to use scalar as simple value
+# 4. Operand / output size of dimensions (few examples of each, 10 values total)
+# (+)  4.1 Divisible by 32
+# (+)  4.2 Prime numbers
+# (+)  4.3 Very large (thousands, 10s of thousands)
+#       - 100x100, 100x1000
+#       - maybe nightly only
+# (+)  4.4 Extreme ratios between height/width
+#      4.5 ...probably many more interesting combinations here
+# 5. Data format - all supported formats
+# (/)  5.1 Output DF
+# (/)  5.2 Intermediate DF
+# (/)  5.3 Accumulation DF
+# (+)  5.4 Operand DFs
+#       - Fix HiFi4 for math fidelity value
+# (+) 6. Math fidelity - LoFi, HiFi2a, Hifi2b, Hifi3, Hifi4
+#       - Fix fp16b (default) for data format value
+# (/) 7. Special attributes - if applicable.. like approx_mode for Exp, for example
+# (/) 8. Special cases - if applicable
+# 9. Variable number of operands - if applicable
+# (/) Few representative values
+# (/) Reuse inputs for selected operators
+
+
+import pytest
+
+from typing import List, Dict, Type, Optional, Any
+from loguru import logger
+
+import random
+import torch
+import forge
+import forge.op
+import os
+
+from forge.op_repo import TensorShape
+
+from test.operators.utils import InputSourceFlags, VerifyUtils
+from test.operators.utils import ShapeUtils
+from test.operators.utils import InputSource
+from test.operators.utils import TestVector
+from test.operators.utils import TestResultFailing
+from test.operators.utils import TestPlan
+from test.operators.utils import FailingReasons
+from test.operators.utils.compat import TestDevice
+from test.operators.utils import RateLimiter
+from test.operators.utils import TestCollection
+from test.operators.utils import TestPlanUtils
+from test.operators.utils import TestParamsFilter
+from test.operators.utils import TestCollectionCommon
+
+
+class ModelFromAnotherOp(torch.nn.Module):
+
+    model_name = "model_op_src_from_another_op"
+
+    def __init__(self, operator, opname, shape, kwargs):
+        super(ModelFromAnotherOp, self).__init__()
+        self.testname = "Reduce_pytorch_operator_" + opname + "_test_op_src_from_another_op"
+        self.operator = operator
+        self.opname = opname
+        self.shape = shape
+        self.kwargs = kwargs
+
+    def forward(self, x: torch.Tensor):
+        # we use Add operator to create one operands which is input for the reduce operator
+        add1 = torch.add(x, x)
+        output = self.operator(add1, **self.kwargs)
+        return output
+
+
+class ModelDirect(torch.nn.Module):
+
+    model_name = "model_op_src_from_host"
+
+    def __init__(self, operator, opname, shape, kwargs):
+        super(ModelDirect, self).__init__()
+        self.testname = "Reduce_pytorch_operator_" + opname + "_test_op_src_from_host"
+        self.operator = operator
+        self.opname = opname
+        self.shape = shape
+        self.kwargs = kwargs
+
+    def forward(self, x: torch.Tensor):
+        output = self.operator(x, **self.kwargs)
+        return output
+
+
+class ModelConstEvalPass(torch.nn.Module):
+
+    model_name = "model_op_src_const_eval_pass"
+
+    def __init__(self, operator, opname, shape, kwargs):
+        super(ModelConstEvalPass, self).__init__()
+        self.testname = "Reduce_pytorch_operator_" + opname + "_test_op_src_const_eval_pass"
+        self.operator = operator
+        self.opname = opname
+        self.shape = shape
+        self.constant_shape = ShapeUtils.reduce_microbatch_size(shape)
+        self.kwargs = kwargs
+
+        self.c1 = torch.rand(*self.constant_shape) - 0.5
+
+    def forward(self, x):
+        v1 = self.operator(self.c1, **self.kwargs)
+        v2 = self.operator(x, **self.kwargs)
+        # add consume inputs
+        add = torch.add(v1, v2)
+        return add
+
+
+class TestVerification:
+
+    MODEL_TYPES = {
+        InputSource.FROM_ANOTHER_OP: ModelFromAnotherOp,
+        InputSource.FROM_HOST: ModelDirect,
+        InputSource.FROM_DRAM_QUEUE: ModelDirect,
+        InputSource.CONST_EVAL_PASS: ModelConstEvalPass,
+    }
+
+    @classmethod
+    def verify(
+        cls,
+        test_device: TestDevice,
+        test_vector: TestVector,
+        number_of_operands: int = 1,
+        input_params: List[Dict] = [],
+        warm_reset: bool = False,
+    ):
+        """Common verification function for all tests"""
+
+        input_source_flag: InputSourceFlags = None
+        if test_vector.input_source in (InputSource.FROM_DRAM_QUEUE,):
+            input_source_flag = InputSourceFlags.FROM_DRAM
+
+        operator = getattr(torch, test_vector.operator)
+
+        kwargs = test_vector.kwargs if test_vector.kwargs else {}
+
+        model_type = cls.MODEL_TYPES[test_vector.input_source]
+        pytorch_model = model_type(
+            operator=operator, opname=test_vector.operator, shape=test_vector.input_shape, kwargs=kwargs
+        )
+        # forge_model = forge.PyTorchModule(pytorch_model.model_name, pytorch_model)
+
+        input_shapes = tuple([test_vector.input_shape for _ in range(number_of_operands)])
+        logger.trace(f"***input_shapes: {input_shapes}")
+
+        VerifyUtils.verify(
+            model=pytorch_model,
+            test_device=test_device,
+            input_shapes=input_shapes,
+            input_params=input_params,
+            input_source_flag=input_source_flag,
+            dev_data_format=test_vector.dev_data_format,
+            math_fidelity=test_vector.math_fidelity,
+            pcc=test_vector.pcc,
+            warm_reset=warm_reset,
+        )
+
+
+class TestParamsData:
+
+    __test__ = False  # Avoid collecting TestParamsData as a pytest test
+
+    test_plan: TestPlan = None
+
+    @classmethod
+    def get_params_test_plan(cls, filter: Optional[TestParamsFilter] = None):
+        return TestPlanUtils.generate_params(cls.test_plan, filter)
+
+    @classmethod
+    def get_params_from_id_file(cls, test_ids_file: str, filter: Optional[TestParamsFilter] = None):
+        test_plan_ids = TestPlanUtils.build_test_plan_from_id_file(test_ids_file, cls.test_plan)
+        return TestPlanUtils.generate_params(test_plan_ids, filter)
+
+    @classmethod
+    def get_params_from_id_list(cls, test_ids: List[str], filter: Optional[TestParamsFilter] = None):
+        test_plan_ids = TestPlanUtils.build_test_plan_from_id_list(test_ids, cls.test_plan)
+        return TestPlanUtils.generate_params(test_plan_ids, filter)
+
+    @classmethod
+    def generate_kwargs(cls, test_vector: TestVector):
+        shape_with_kwargs = cls.extend_shape_with_dims_and_keepdims(test_vector.input_shape)
+        kwarg_list = []
+        for item in shape_with_kwargs:
+            kwargs = {}
+            kwargs["dim"] = item[1]
+            kwargs["keepdim"] = item[2]
+            kwarg_list.append(kwargs)
+        return kwarg_list
+
+    @classmethod
+    def extend_shape_with_dims_and_keepdims(cls, shape):
+        shape_with_dims_and_keepdims = list()
+        for dim in list(range(0, len(shape), 1)):
+            shape_with_dims_and_keepdims.append((shape, dim, True))
+            shape_with_dims_and_keepdims.append((shape, dim, False))
+        return shape_with_dims_and_keepdims
+
+
+class TestCollectionData:
+
+    __test__ = False  # Avoid collecting TestCollectionData as a pytest test
+
+    all = TestCollection(
+        operators=[
+            "sum",  # 00
+            "mean",  # 01
+        ],
+        input_sources=TestCollectionCommon.all.input_sources,
+        input_shapes=TestCollectionCommon.all.input_shapes,
+        dev_data_formats=TestCollectionCommon.all.dev_data_formats,
+        math_fidelities=TestCollectionCommon.all.math_fidelities,
+    )
+
+    single = TestCollection(
+        input_sources=TestCollectionCommon.single.input_sources,
+        input_shapes=TestCollectionCommon.single.input_shapes,
+        dev_data_formats=TestCollectionCommon.single.dev_data_formats,
+        math_fidelities=TestCollectionCommon.single.math_fidelities,
+    )
+
+
+TestParamsData.test_plan = TestPlan(
+    collections=[
+        # Test plan:
+        # 2. Operand source(s):
+        # 3. Operand shapes type(s):
+        # 4. Operand / output size of dimensions
+        TestCollection(
+            operators=TestCollectionData.all.operators,
+            input_sources=TestCollectionData.all.input_sources,
+            input_shapes=TestCollectionData.all.input_shapes,
+            kwargs=lambda test_vector: TestParamsData.generate_kwargs(test_vector),
+        ),
+        # Test plan:
+        # 5. Data format
+        TestCollection(
+            operators=TestCollectionData.all.operators,
+            input_sources=TestCollectionData.single.input_sources,
+            input_shapes=TestCollectionData.single.input_shapes,
+            kwargs=lambda test_vector: TestParamsData.generate_kwargs(test_vector),
+            dev_data_formats=[
+                item
+                for item in TestCollectionData.all.dev_data_formats
+                if item not in TestCollectionData.single.dev_data_formats
+            ],
+            math_fidelities=TestCollectionData.single.math_fidelities,
+        ),
+        # Test plan:
+        # 6. Math fidelity
+        TestCollection(
+            operators=TestCollectionData.all.operators,
+            input_sources=TestCollectionData.single.input_sources,
+            input_shapes=TestCollectionData.single.input_shapes,
+            kwargs=lambda test_vector: TestParamsData.generate_kwargs(test_vector),
+            dev_data_formats=TestCollectionData.single.dev_data_formats,
+            math_fidelities=TestCollectionData.all.math_fidelities,
+        ),
+    ],
+    failing_rules=[
+        # Skip all tests with input shapes with 2 dimensions
+        TestCollection(
+            criteria=lambda test_vector: len(test_vector.input_shape) == 2,
+            skip_reason=FailingReasons.NOT_IMPLEMENTED,
+        ),
+        # Error info: Unable to reshape a tensor in TILE_LAYOUT to non-tile height and width! Please convert the tensor to ROW_MAJOR_LAYOUT first.
+        TestCollection(
+            criteria=lambda test_vector: test_vector.get_id()
+            in TestPlanUtils.load_test_ids_from_file(
+                f"{os.path.dirname(__file__)}/errors/test_reduce_ids_reshape1_error.txt"
+            ),
+            failing_reason=FailingReasons.COMPILATION_FAILED,
+        ),
+        # Error info: Unable to reshape given tensor!
+        TestCollection(
+            criteria=lambda test_vector: test_vector.get_id()
+            in TestPlanUtils.load_test_ids_from_file(
+                f"{os.path.dirname(__file__)}/errors/test_reduce_ids_reshape2_error.txt"
+            ),
+            failing_reason=FailingReasons.COMPILATION_FAILED,
+        ),
+        # Error info: Unsupported dim
+        TestCollection(
+            criteria=lambda test_vector: test_vector.get_id()
+            in TestPlanUtils.load_test_ids_from_file(
+                f"{os.path.dirname(__file__)}/errors/test_reduce_ids_unsupported_dim_error.txt"
+            ),
+            failing_reason=FailingReasons.COMPILATION_FAILED,
+        ),
+        # Error info: PCC check failed
+        TestCollection(
+            criteria=lambda test_vector: test_vector.get_id()
+            in TestPlanUtils.load_test_ids_from_file(
+                f"{os.path.dirname(__file__)}/errors/test_reduce_ids_pcc_error.txt"
+            ),
+            failing_reason=FailingReasons.DATA_MISMATCH,
+        ),
+        # Error info: 'TransposeTM' object has no attribute 'z_dim_slice' (via OpType cpp underlying class)
+        TestCollection(
+            criteria=lambda test_vector: test_vector.get_id()
+            in TestPlanUtils.load_test_ids_from_file(
+                f"{os.path.dirname(__file__)}/errors/test_reduce_ids_z_dim_slice_error.txt"
+            ),
+            failing_reason=FailingReasons.INFERENCE_FAILED,
+        ),
+        # DF and MF related errors
+        ## E       AssertionError: PCC check failed
+        TestCollection(
+            criteria=lambda test_vector: test_vector.get_id()
+            in TestPlanUtils.load_test_ids_from_file(
+                f"{os.path.dirname(__file__)}/errors/test_reduce_ids_df_mf_pcc_error.txt"
+            ),
+            failing_reason=FailingReasons.DATA_MISMATCH,
+        ),
+        ## E       Unable to reshape a tensor in TILE_LAYOUT to non-tile height and width! Please convert the tensor to ROW_MAJOR_LAYOUT first.
+        TestCollection(
+            criteria=lambda test_vector: test_vector.get_id()
+            in TestPlanUtils.load_test_ids_from_file(
+                f"{os.path.dirname(__file__)}/errors/test_reduce_ids_df_mf_tt_throw_reshape_error.txt"
+            ),
+            failing_reason=FailingReasons.COMPILATION_FAILED,
+        ),
+        ## E       Unsupported dim
+        TestCollection(
+            criteria=lambda test_vector: test_vector.get_id()
+            in TestPlanUtils.load_test_ids_from_file(
+                f"{os.path.dirname(__file__)}/errors/test_reduce_ids_df_mf_tt_throw_unsupported_dim_error.txt"
+            ),
+            failing_reason=FailingReasons.COMPILATION_FAILED,
+        ),
+        ## E       RuntimeError: mean(): could not infer output dtype. Input dtype must be either a floating point or complex dtype. Got: Int
+        TestCollection(
+            criteria=lambda test_vector: test_vector.get_id()
+            in TestPlanUtils.load_test_ids_from_file(
+                f"{os.path.dirname(__file__)}/errors/test_reduce_ids_df_mf_bad_data_type_error.txt"
+            ),
+            failing_reason=FailingReasons.INFERENCE_FAILED,
+        ),
+    ],
+)
+
+## TEST ACCORDING TO TEST PLAN
+@pytest.mark.parametrize("test_vector", TestParamsData.get_params_test_plan())
+def test_plan(test_vector: TestVector, test_device):
+    TestVerification.verify(test_device=test_device, test_vector=test_vector)
diff --git a/forge/test/operators/utils/failing_reasons.py b/forge/test/operators/utils/failing_reasons.py
index 024181a6..411cf91a 100644
--- a/forge/test/operators/utils/failing_reasons.py
+++ b/forge/test/operators/utils/failing_reasons.py
@@ -59,6 +59,9 @@ class FailingReasons:
     UNSUPPORTED_INPUT_SOURCE = "Unsupported input source"
 
 
+# 2024-10-16 09:00:57.038 | DEBUG    | test.operators.utils.failing_reasons:validate_exception:121 - Validating xfail reason: 'None' for exception: <class 'AttributeError'> ''TransposeTM' object has no attribute 'z_dim_slice' (via OpType cpp underlying class)'
+
+
 class FailingReasonsValidation:
     @classmethod
     def validate_exception_message(
@@ -102,6 +105,24 @@ def validate_exception_message(
             lambda ex: isinstance(ex, AssertionError)
             and f"{ex}" == "Encountered unsupported op types. Check error logs for more details",
         ],
+        FailingReasons.COMPILATION_FAILED: [
+            lambda ex: isinstance(ex, RuntimeError)
+            and "tt-forge-fe/third_party/tt-mlir/third_party/tt-metal/src/tt-metal/ttnn/cpp/ttnn/operations/core/core.cpp:49: tt::exception"
+            in f"{ex}",
+            lambda ex: isinstance(ex, RuntimeError)
+            and "tt-forge-fe/third_party/tt-mlir/third_party/tt-metal/src/tt-metal/ttnn/cpp/ttnn/operations/reduction/generic/generic_reductions.cpp:140: tt::exception"
+            in f"{ex}",
+            lambda ex: isinstance(ex, RuntimeError)
+            and "tt-forge-fe/third_party/tt-mlir/third_party/tt-metal/src/tt-metal/ttnn/cpp/ttnn/operations/core/core.cpp:60: tt::exception"
+            in f"{ex}",
+        ],
+        FailingReasons.INFERENCE_FAILED: [
+            lambda ex: isinstance(ex, AttributeError)
+            and f"{ex}" == "'TransposeTM' object has no attribute 'z_dim_slice' (via OpType cpp underlying class)",
+            lambda ex: isinstance(ex, RuntimeError)
+            and "mean(): could not infer output dtype. Input dtype must be either a floating point or complex dtype. Got: Int"
+            in f"{ex}",
+        ],
     }
 
     @classmethod