#0: update model performance

- update license years

models/demos/distilbert/tests/test_perf_distilbert.py

@@ -154,7 +154,7 @@ def test_distilbert_perf_device(batch_size, test, reset_seeds):
     if is_grayskull():
         expected_perf = 40.8772
     elif is_wormhole_b0():
-        expected_perf = 90.2505
+        expected_perf = 103.884
 
     command = f"pytest tests/ttnn/integration_tests/distilbert/test_ttnn_distilbert.py::test_distilbert_for_question_answering[sequence_size=768-batch_size=8-model_name=distilbert-base-uncased-distilled-squad]"
     cols = ["DEVICE FW", "DEVICE KERNEL", "DEVICE BRISC KERNEL"]

models/demos/vgg/tests/test_perf_vgg.py

@@ -137,10 +137,10 @@ def test_perf_device_bare_metal_vgg(batch_size, model_name):
     margin = 0.03
 
     if model_name == "ttnn_vgg11":
-        expected_perf = 132.2436 if is_grayskull() else 272.8989
+        expected_perf = 132.2436 if is_grayskull() else 283.289
         command = f"pytest tests/ttnn/integration_tests/vgg/test_ttnn_vgg11.py"
     else:
-        expected_perf = 116.1459 if is_grayskull() else 194.4063
+        expected_perf = 116.1459 if is_grayskull() else 201.3867
         command = f"pytest tests/ttnn/integration_tests/vgg/test_ttnn_vgg16.py"
 
     cols = ["DEVICE FW", "DEVICE KERNEL", "DEVICE BRISC KERNEL"]

tests/tt_eager/python_api_testing/unit_testing/misc/test_transpose.py

@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: © 2023 Tenstorrent Inc.
+# SPDX-FileCopyrightText: © 2024 Tenstorrent Inc.
 
 # SPDX-License-Identifier: Apache-2.0
 
@@ -911,6 +911,8 @@ def test_transpose_issue_11650_10350(shape, dims, layout, dtype, device):
 def test_transpose_unpadded(shape, dims, layout, dtype, pad_value, device):
     if pad_value is not None and is_blackhole():
         pytest.skip("Blackhole reduce is needed for the full test to work")
+    elif dtype == ttnn.float32 and is_grayskull():
+        pytest.skip("Grayskull does not support float32")
     torch_input = torch.randn(shape, dtype=torch.bfloat16)
     torch_output = torch_input.transpose(dims[0], dims[1])
 

tests/ttnn/unit_tests/operations/test_permute.py

@@ -8,7 +8,8 @@
 
 import ttnn
 
-from tests.ttnn.utils_for_testing import assert_with_pcc, is_blackhole
+from tests.ttnn.utils_for_testing import assert_with_pcc
+from models.utility_functions import is_blackhole
 
 torch.manual_seed(2005)
 

ttnn/cpp/ttnn/operations/data_movement/concat/concat.cpp

@@ -161,7 +161,7 @@ MassagedConcat build_prepost_transpose_concat(uint8_t queue_id, const MemoryConf
                     tensors.end(),
                     std::back_inserter(itensors),
                     [dim1, dim2](const ttnn::Tensor& input_tensor) -> ttnn::Tensor {
-                        return ttnn::transpose(input_tensor, dim1, dim2, std::nullopt);
+                        return ttnn::transpose(input_tensor, dim1, dim2);
                     }
                 );
                 auto norm_dim1 = tensors.front().get_shape().get_normalized_index(dim1);

ttnn/cpp/ttnn/operations/data_movement/transpose/device/kernels/dataflow/reader_unary_transpose_hc_interleaved_tiled_padding_aware.cpp

@@ -1,4 +1,4 @@
-// SPDX-FileCopyrightText: © 2023 Tenstorrent Inc.
+// SPDX-FileCopyrightText: © 2024 Tenstorrent Inc.
 //
 // SPDX-License-Identifier: Apache-2.0