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Conv2D Unit Tests fail when output layout is set to ROW_MAJOR #16888

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sankarmanoj-tt opened this issue Jan 19, 2025 · 0 comments
Open

Conv2D Unit Tests fail when output layout is set to ROW_MAJOR #16888

sankarmanoj-tt opened this issue Jan 19, 2025 · 0 comments
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@sankarmanoj-tt
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CNN_bug CNNs op_cat: conv2D 2D convolution for CNNs

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Lots of Conv2D unit tests fail when the output layout is set to Row Major.

FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=False-activations_dtype=DataType.FLOAT32-weights_dtype=DataType.FLOAT32-batch_size=8-output_channels=128-input_channels=128-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=2-stride_w=2-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=False-activations_dtype=DataType.FLOAT32-weights_dtype=DataType.FLOAT32-batch_size=8-output_channels=128-input_channels=128-input_height=28-input_width=28-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=False-activations_dtype=DataType.FLOAT32-weights_dtype=DataType.BFLOAT16-batch_size=8-output_channels=64-input_channels=64-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=False-activations_dtype=DataType.FLOAT32-weights_dtype=DataType.BFLOAT16-batch_size=8-output_channels=128-input_channels=128-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=2-stride_w=2-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=False-activations_dtype=DataType.FLOAT32-weights_dtype=DataType.BFLOAT16-batch_size=8-output_channels=128-input_channels=128-input_height=28-input_width=28-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=True-activations_dtype=DataType.BFLOAT16-weights_dtype=DataType.FLOAT32-batch_size=8-output_channels=64-input_channels=64-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=True-activations_dtype=DataType.BFLOAT16-weights_dtype=DataType.FLOAT32-batch_size=8-output_channels=128-input_channels=128-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=2-stride_w=2-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=True-activations_dtype=DataType.BFLOAT16-weights_dtype=DataType.FLOAT32-batch_size=8-output_channels=128-input_channels=128-input_height=28-input_width=28-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=True-activations_dtype=DataType.BFLOAT16-weights_dtype=DataType.BFLOAT16-batch_size=8-output_channels=64-input_channels=64-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=True-activations_dtype=DataType.BFLOAT16-weights_dtype=DataType.BFLOAT16-batch_size=8-output_channels=128-input_channels=128-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=2-stride_w=2-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=True-activations_dtype=DataType.BFLOAT16-weights_dtype=DataType.BFLOAT16-batch_size=8-output_channels=128-input_channels=128-input_height=28-input_width=28-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[no_auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=False-activations_dtype=DataType.FLOAT32-weights_dtype=DataType.FLOAT32-batch_size=8-output_channels=64-input_channels=64-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[no_auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=False-activations_dtype=DataType.FLOAT32-weights_dtype=DataType.FLOAT32-batch_size=8-output_channels=128-input_channels=128-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=2-stride_w=2-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[no_auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=False-activations_dtype=DataType.FLOAT32-weights_dtype=DataType.FLOAT32-batch_size=8-output_channels=128-input_channels=128-input_height=28-input_width=28-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[no_auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=False-activations_dtype=DataType.FLOAT32-weights_dtype=DataType.BFLOAT16-batch_size=8-output_channels=64-input_channels=64-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[no_auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=False-activations_dtype=DataType.FLOAT32-weights_dtype=DataType.BFLOAT16-batch_size=8-output_channels=128-input_channels=128-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=2-stride_w=2-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[no_auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=False-activations_dtype=DataType.FLOAT32-weights_dtype=DataType.BFLOAT16-batch_size=8-output_channels=128-input_channels=128-input_height=28-input_width=28-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[no_auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=True-activations_dtype=DataType.BFLOAT16-weights_dtype=DataType.FLOAT32-batch_size=8-output_channels=64-input_channels=64-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[no_auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=True-activations_dtype=DataType.BFLOAT16-weights_dtype=DataType.FLOAT32-batch_size=8-output_channels=128-input_channels=128-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=2-stride_w=2-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[no_auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=True-activations_dtype=DataType.BFLOAT16-weights_dtype=DataType.FLOAT32-batch_size=8-output_channels=128-input_channels=128-input_height=28-input_width=28-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[no_auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=True-activations_dtype=DataType.BFLOAT16-weights_dtype=DataType.BFLOAT16-batch_size=8-output_channels=64-input_channels=64-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[no_auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=True-activations_dtype=DataType.BFLOAT16-weights_dtype=DataType.BFLOAT16-batch_size=8-output_channels=128-input_channels=128-input_height=56-input_width=56-filter_height=3-filter_width=3-stride_h=2-stride_w=2-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
FAILED tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_resnet50_conv_wh_fp32[no_auto_shard-pack_l1-math_fidelity=MathFidelity.HiFi4-fp32_accum=True-activations_dtype=DataType.BFLOAT16-weights_dtype=DataType.BFLOAT16-batch_size=8-output_channels=128-input_channels=128-input_height=28-input_width=28-filter_height=3-filter_width=3-stride_h=1-stride_w=1-pad_h=1-pad_w=1-use_1d_systolic_array=True-config_override=None-device_params={'l1_small_size': 16384}] - assert False
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CNN_bug CNNs op_cat: conv2D 2D convolution for CNNs
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