Arm backend: Add conv3d support to Tosa/Vgf backends #16093
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16093
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Conv3d is not supported by vela so it can not be supported in u55 or u85. * Adds Conv3D support for FP32, Int8 and int16A8W * Reworks to_tosa_memory_format_pass.py to handle spatial rank 3 tensors (DHW) * Adds support for rank 5 tensors to analyze_output_utils.py * Reworks conv2d passes to handle conv3d and renames them to be more generic Signed-off-by: Ryan O'Shea <ryan.oshea3@arm.com> Change-Id: I0c888b46afe7bdfa0a26c26d5281ab02b945b528
Signed-off-by: Ryan O'Shea <ryan.oshea3@arm.com> Change-Id: I9b096c71da7e1bf943857c04c5606e22ba35da4f
Signed-off-by: Ryan O'Shea <ryan.oshea3@arm.com> Change-Id: Ibce8fdf18a8e3fb2f16a9f5cb0c07d167ba2514c
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Arm tests failing on test_index_tensor_tosa @oscarandersson8218 is working on a fix |
zingo
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Approved, just make sure CI is green
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Conv3d is not supported by vela so it can not be supported in u55 or u85. * Adds Conv3D support for FP32, Int8 and int16A8W * Reworks to_tosa_memory_format_pass.py to handle spatial rank 3 tensors (DHW) * Adds support for rank 5 tensors to analyze_output_utils.py * Reworks conv2d passes to handle conv3d and renames them to be more generic Signed-off-by: Ryan O'Shea <ryan.oshea3@arm.com>
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Conv3d is not supported by vela so it can not be supported in u55 or u85. * Adds Conv3D support for FP32, Int8 and int16A8W * Reworks to_tosa_memory_format_pass.py to handle spatial rank 3 tensors (DHW) * Adds support for rank 5 tensors to analyze_output_utils.py * Reworks conv2d passes to handle conv3d and renames them to be more generic Signed-off-by: Ryan O'Shea <ryan.oshea3@arm.com>
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Conv3d is not supported by vela so it can not be supported
in u55 or u85.
Change-Id: I0c888b46afe7bdfa0a26c26d5281ab02b945b528
cc @freddan80 @per @zingo @oscarandersson8218 @digantdesai