Add tt mlir override #453
on-community-issue.yml
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3 errors and 1 warning
test_ops_tf.test_maxpool2d[act_shape24]:
forge/test/mlir/test_ops_tf.py#L190
ValueError: Data mismatch (compare_with_golden): framework_model=tensor([[[[ 0.18066, -0.17285, -0.57031, ..., 0.13867, -0.34961, 0.04736],
[-0.50391, 0.12207, -0.46484, ..., 0.37891, -0.28906, -0.30664],
[-0.03760, 0.28516, -0.29492, ..., 0.53906, -0.55859, -0.55469],
...,
[-0.47070, 0.21387, -0.46289, ..., 0.61719, -0.47266, -0.41797],
[-0.21289, -0.11084, -0.59375, ..., 0.43359, -0.72656, -0.46875],
[-0.63672, 0.54297, -0.15137, ..., -0.43164, -0.81250, -0.32422]],
[[ 0.10352, 0.48828, -0.78125, ..., 0.67969, -0.60938, -0.03857],
[-0.22852, 0.57812, -0.75391, ..., 1.05469, -1.16406, -0.20605],
[-0.42383, 0.72266, -1.01562, ..., 1.13281, -0.89453, -0.08447],
...,
[-0.17578, 0.68359, -0.61719, ..., 0.97266, -1.07031, -0.07373],
[-0.37891, 0.48047, -0.81641, ..., 1.21875, -0.75391, 0.02563],
[-0.55469, 0.42969, -0.46289, ..., -0.62109, -0.94141, 0.47656]],
[[-0.03369, 0.60547, -0.96875, ..., 0.57031, -0.56250, -0.15430],
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...,
[-0.21094, 0.38867, -1.24219, ..., 0.78906, -0.67578, 0.03540],
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...,
[[-0.23340, 0.58594, -0.77344, ..., 0.76562, -0.71094, -0.18652],
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...,
[-0.71484, 0.78125, -0.75000, ..., 0.99219, -1.11719, -0.07764],
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[[-0.01282, 0.60938, -0.66016, ..., 0.92969, -0.34180, 0.17676],
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...,
[-0.25781, 0.52344, -0.82031, ..., 1.39062, -1.08594, -0.08350],
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[-0.38086, 0.61328, -0.33008, ..., -0.41797, -1.05469, 0.34180]],
[[ 0.06445, 0.90625, -1.07031, ..., 0.41211, -0.33008, 0.72656],
[ 0.01929, 0.53516, -1.15625, ..., 0.33594, -0.58203, 0.62109],
[ 0.00287, 0.35742, -1.08594, ..., 0.37305, -0.50781, 0.80859],
...,
[ 0.24609, 0.66797, -1.41406, ..., 0.10791, -0.59375, 1.00000],
[ 0.02625, 0.52344, -1.22656, ..., 0.18848, -0.62109, 0.71484],
[ 0.16992, 0.25000, -0.66406, ..., -0.75781, -0.66797, 1.07031]]]], dtype=torch.bfloat16, requires_grad=True), compiled_model=tensor([[[[ 2.00195e-01, -2.14844e-01, -4.90234e-01, ..., 2.12891e-01, -3.55469e-01, -3.83301e-02],
[-3.67188e-01, 9.52148e-02, -4.14062e-01, ..., 4.23828e-01, -3.14453e-01, -3.49609e-01],
[-2.75391e-01, 2.48047e-01, -2.67578e-01, ..., 6.48438e-01, -5.39062e-01, -4.84375e-01],
...,
[-7.30167e+33, 9.81344e+35, 3.40095e+35, ..., -1.00211e+36, 1.19423e+36, -1.32404e+36],
[-1.39569e+37, 9.09690e+36, -1.45384e+37, ..., 2.62523e+37, 4.51938e+37, 4.07076e+37],
[ 9.26306e+36, -3.67199e+37, 2.10288e+35, ..., 8.14152e+36, -2.59615e+34, -2.12676e+37]],
[[-2.34604e-04, 9.29688e-01, -8.08594e-01, ..., 7.69531e-01, -6.28906e-01, -9.76562e-02],
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...,
[ 2.95753e+37, 4.51938e+37, 2.01046e+37, ..., 1.53692e+37, -2.99076e+36, -3.30645e+37],
[ 8.84767e+36, -4.38645e+37, 5.73230e+36, ..., -2.50269e+36, 6.77076e+36, 2.92430e+37],
[ 2.69169e+37, 1.84430e+37, 5.45191e+35, ..., 6.77076e+36, 3.90461e+37, -1.30430e+37]],
[[-2.95410e-02, 6.87500e-01, -6.83594e-01, ..., 6.56250e-01, -3.08594e-01, 3.73535e-02],
[-4.68750e-01, 4.58984e-01, -1.07812e+00, ..., 1.03125e+00, -7.69531e-01, -1.68457e-02],
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...,
[ 1.57015e+37, 4.48614e+37, -1.77784e+37, ..., -7.47691e+36, -3.01153e+36, 1.35415e+37],
[ 2.84122e+37, 1.39569e+37, 1.18800e+37, ..., 4.42384e+36, 3.93784e+37, 2.32615e+37],
[ 1.42061e+37, -4.21615e+36, -5.51630e+37, ..., 1.47877e+37, 4.23691e+37, -1.53692e+37]],
...,
[[-1.92871e-02, 6.79688e-01, -3.84766e-01, ..., 8.82812e-01, -5.82031e-01, -1.42212e-02],
[-5.07812e-01, 4.49219e-01, -1.09375e+00, ..., 1.19531e+00, -1.21094e+00, 6.68945e-02],
[-4.12109e-01, 5.50781e-01, -1.12500e+00, ..., 1.20312e+00, -1.19531e+00, -4.88281e-02],
...,
[ 1.34584e+37, 2.09353e+37, -3.73845e+37, ..., 9.19037e+35, -2.97415e+37, -3.50584e+37],
[-2.84122e+37, -1.96061e+37, -2.55876e+37, ..., 5.41660e+37, -8.55691e+36, 4.75199e+37],
[-5.73230e+36, 9.38767e+36, -3.62215e+37, ..., -3.88799e+37, -3.10707e+37, 5.08430e+37]],
[[ 3.14713e-04, 6.60156e-01, -8.90625e-01, ..., 5.50781e-01, -3.98438e-01, -9.71680e-02],
[-4.98047e-01, 3.94531e-01, -6.99219e-01, ..., 1.03125e+00, -6.52344e-01, -1.81641e-01],
[-6.44531e-01, 5.54688e-01, -9.57031e-01, ..., 1.28906e+00, -1.12500e+00, -7.32422e-02],
...,
[ 2.59199e+37, -4.45291e+37, -3.02399e+37, ..., 9.59536e+36, -1.22954e+37, -3.37292e+37],
[-2.92430e+37, 1.61169e+37, -1.57846e+37, ..., -1.47877e+37, -6.64614e+37, -3.43938e+37],
[-4.85168e+37, 3.65538e+37, 2.75815e+37, ..., 3.19015e+37, 2.92846e+36, 2.19323e+37]],
[[-6.39648e-02, 9.64844e-01, -7.73438e-01, ..., 3.98438e-01, -3.02734e-01, 6.17188e-01],
[ 3.63770e-02, 4.47266e-01, -1.02344e+00, ..., 2.61719e-01, -5.82031e-01, 7.42188e-01],
[ 2.19727e-01, 5.07812e-01, -1.30469e+00, ..., 2.44141e-01, -8.08594e-01, 6.91406e-01],
...,
[-5.18399e+37, 2.35938e+37, 5.94830e+37, ..., 6.21414e+37, 3.80492e+37, 4.28676e+37],
[ 4.31999e+36, 1.52861e+37, -9.67844e+36, ..., -4.28676e+37, -1.99384e+37, -1.08000e+37],
[ 3.15692e+37, 9.13844e+36, -2.06030e+37, ..., -1.24615e+37, 8.41152e+35, 2.14338e+37]]]], dtype=torch.bfloat16)
|
test_ops_tf.test_maxpool2d[act_shape25]:
forge/test/mlir/test_ops_tf.py#L190
ValueError: Data mismatch (compare_with_golden): framework_model=tensor([[[[-0.07080, -0.08740, -1.27344, ..., -0.75781, -0.37500, 0.77734],
[ 0.24707, 0.50000, -0.96094, ..., -0.58203, -0.42773, 1.22656],
[ 0.45117, 0.60156, -0.94141, ..., -0.29297, -0.35547, 1.42969],
...,
[ 0.09375, 0.34766, -0.94531, ..., -0.54297, -0.29883, 1.31250],
[ 0.30664, 0.79297, -1.05469, ..., -0.54297, -0.51562, 1.44531],
[ 0.13770, 0.58203, 0.01410, ..., 0.25586, 0.23242, 1.20312]],
[[ 0.20117, 0.25391, -1.20312, ..., -0.36914, -1.25781, 0.30859],
[ 0.49414, 0.81641, -0.88672, ..., -0.36719, -1.37500, 0.51172],
[ 0.51562, 0.81250, -0.93750, ..., 0.27930, -1.21875, 0.42969],
...,
[ 0.56641, 0.80859, -0.80078, ..., 0.20020, -1.65625, 0.79297],
[ 0.82031, 0.99219, -0.78906, ..., -0.34766, -1.32031, 0.51562],
[ 0.48438, 0.75781, -0.13672, ..., 0.35352, -0.82812, 1.03125]],
[[ 0.34180, 0.22461, -1.21875, ..., -0.25000, -1.39844, 0.31250],
[ 0.75781, 0.80078, -0.86719, ..., -0.09326, -1.23438, 0.47656],
[ 0.57031, 0.92188, -0.80859, ..., -0.20996, -1.64062, 0.48242],
...,
[ 0.58594, 0.61328, -0.98828, ..., 0.11230, -1.17188, 0.80859],
[ 0.51172, 0.72656, -0.87109, ..., -0.03223, -1.35938, 0.74219],
[ 0.37109, 0.72656, -0.46094, ..., 0.28125, -0.67188, 1.01562]],
...,
[[ 0.37305, -0.04272, -1.26562, ..., -0.58984, -1.37500, 0.31836],
[ 0.87500, 0.80078, -0.67578, ..., 0.05127, -1.26562, 0.34766],
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...,
[ 0.91797, 0.80859, -0.92969, ..., 0.04614, -1.65625, 0.60547],
[ 0.66016, 1.14844, -0.86719, ..., 0.25781, -1.31250, 0.82031],
[ 0.55469, 0.75000, -0.22852, ..., 0.21484, -0.79297, 1.17188]],
[[ 0.21387, 0.04053, -1.35938, ..., -0.42383, -1.39062, 0.42578],
[ 0.80469, 0.57812, -0.96484, ..., -0.09326, -1.42969, 1.03906],
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...,
[ 0.72656, 0.33984, -1.03125, ..., 0.20508, -1.39062, 0.39258],
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[ 0.46289, 1.03906, -0.15234, ..., 0.16406, -0.27734, 0.95703]],
[[ 0.36914, 0.66406, -0.55078, ..., 0.01575, -1.29688, -0.25391],
[ 0.49023, 0.85156, 0.00339, ..., -0.26367, -1.09375, 0.25586],
[ 0.53516, 1.15625, -0.08691, ..., -0.10645, -1.32031, 0.28906],
...,
[ 0.62891, 1.01562, -0.03418, ..., -0.00879, -1.32812, 0.28711],
[ 0.55859, 0.92969, -0.00339, ..., 0.00778, -1.64844, 0.22266],
[ 0.32031, 0.70312, 0.23828, ..., 0.15332, -0.60156, 0.79297]]]], dtype=torch.bfloat16, requires_grad=True), compiled_model=tensor([[[[-3.39355e-02, -7.17773e-02, -1.22656e+00, ..., -6.67969e-01, -2.37305e-01, 9.17969e-01],
[ 2.65625e-01, 5.97656e-01, -9.02344e-01, ..., -5.07812e-01, -3.14453e-01, 1.32031e+00],
[ 5.15625e-01, 4.96094e-01, -7.96875e-01, ..., -4.82422e-01, -5.03906e-01, 1.36719e+00],
...,
[ 4.72499e+35, -1.03846e+36, -9.65767e+35, ..., 2.19115e+36, -8.37258e+34, 1.65115e+36],
[-2.49230e+37, -1.14646e+37, 2.01046e+37, ..., -1.60338e+37, 1.75292e+37, 1.77784e+37],
[ 8.22460e+36, -1.11323e+37, -1.85261e+37, ..., -1.02184e+37, -6.10614e+36, 1.67938e+34]],
[[ 4.72656e-01, 3.78906e-01, -1.19531e+00, ..., -4.17969e-01, -1.40625e+00, 1.87500e-01],
[ 5.66406e-01, 9.17969e-01, -8.32031e-01, ..., -4.04297e-01, -1.27344e+00, 5.82031e-01],
[ 4.88281e-01, 7.92969e-01, -1.03125e+00, ..., 5.93262e-02, -1.33594e+00, 6.28906e-01],
...,
[-1.08000e+37, 9.01383e+36, 1.86923e+37, ..., -2.76490e+35, 1.08000e+37, 6.18922e+36],
[-1.07169e+37, 1.32923e+37, 2.09769e+36, ..., 1.86923e+37, 1.23317e+35, 3.67199e+37],
[-2.57538e+37, 1.48707e+37, 2.40923e+37, ..., -4.13722e+37, 2.60861e+37, 2.94092e+37]],
[[ 1.48438e-01, 3.94531e-01, -1.13281e+00, ..., -4.68750e-01, -1.39844e+00, 4.37012e-02],
[ 6.75781e-01, 7.57812e-01, -7.53906e-01, ..., 1.46484e-01, -1.58594e+00, 6.71875e-01],
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...,
[-2.75815e+37, 6.85383e+35, -1.26277e+37, ..., 6.35537e+36, -2.74153e+37, -2.77476e+37],
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[ 5.15076e+37, 2.74153e+36, -1.09661e+37, ..., -3.05722e+37, -3.30645e+37, 2.95753e+37]],
...,
[[ 3.65234e-01, 1.58203e-01, -8.86719e-01, ..., -1.36719e-01, -1.21094e+00, 3.14453e-01],
[ 6.87500e-01, 5.15625e-01, -1.10938e+00, ..., 4.76074e-02, -1.32031e+00, 5.50781e-01],
[ 6.36719e-01, 1.11719e+00, -7.96875e-01, ..., -2.35352e-01, -1.28125e+00, 6.95312e-01],
...,
[ 5.54953e+37, 6.77906e+37, -3.80492e+37, ..., 1.32923e+37, 3.63876e+37, 6.89537e+36],
[ 5.18399e+37, 9.63690e+37, -3.52245e+37, ..., -1.45384e+37, 3.09046e+37, 3.38953e+37],
[-1.12984e+37, 4.08738e+37, -2.59199e+37, ..., -2.14338e+37, -2.17661e+37, 2.31576e+36]],
[[ 3.82812e-01, 6.20117e-02, -1.10938e+00, ..., -4.04297e-01, -1.36719e+00, 1.74805e-01],
[ 6.21094e-01, 8.98438e-01, -9.76562e-01, ..., 2.08008e-01, -1.47656e+00, 9.02344e-01],
[ 5.89844e-01, 7.14844e-01, -6.95312e-01, ..., -9.13086e-02, -1.33594e+00, 9.88281e-01],
...,
[ 1.74461e+37, -2.14338e+37, 3.25661e+37, ..., 2.69169e+37, -2.27630e+37, 3.35630e+37],
[-1.70307e+37, 2.95753e+37, -5.10922e+36, ..., 1.37077e+36, -3.32307e+36, 2.74153e+37],
[ 2.65846e+37, -3.70522e+37, 2.27630e+37, ..., 4.56922e+36, 3.52245e+37, 1.03431e+37]],
[[ 2.94922e-01, 6.79688e-01, -5.97656e-01, ..., -5.02930e-02, -1.46094e+00, -3.65234e-01],
[ 7.38281e-01, 9.14062e-01, -1.54297e-01, ..., 9.42383e-02, -1.41406e+00, -6.01196e-03],
[ 6.67969e-01, 1.15625e+00, -1.99219e-01, ..., -1.99219e-01, -1.39062e+00, 1.43555e-01],
...,
[-1.66153e+37, -2.59199e+37, -2.34276e+37, ..., 3.02399e+37, 1.45384e+37, 3.20676e+37],
[-2.90769e+36, 4.25353e+37, -1.45384e+37, ..., -1.22123e+37, 2.11846e+36, 4.08738e+37],
[-1.08000e+37, -1.13815e+37, -2.18076e+36, ..., 4.00845e+36, -9.22152e+36, 1.76953e+37]]]], dtype=torch.bfloat16)
|
test_ops_tf.test_maxpool2d[act_shape26]:
forge/test/mlir/test_ops_tf.py#L190
ValueError: Data mismatch (compare_with_golden): framework_model=tensor([[[[-4.96094e-01, -2.43164e-01, -9.02344e-01, ..., 2.91016e-01, -6.60156e-01, 2.08008e-01],
[-3.80859e-02, -7.85156e-01, -7.07031e-01, ..., -3.00781e-01, -5.85938e-01, -4.45312e-01],
[ 1.36719e-01, -6.13281e-01, -8.71094e-01, ..., -5.23438e-01, -6.21094e-01, -5.31250e-01],
...,
[ 7.22656e-02, -5.78125e-01, -8.32031e-01, ..., -4.06250e-01, -7.14844e-01, -3.82812e-01],
[ 7.50732e-03, -3.04688e-01, -9.25781e-01, ..., -4.14062e-01, -3.63281e-01, -6.21094e-01],
[ 6.21094e-01, -1.48438e-01, -3.08594e-01, ..., 4.83398e-02, -2.51953e-01, -5.31250e-01]],
[[-8.63281e-01, -4.64844e-01, -1.38281e+00, ..., 4.31641e-01, -8.75000e-01, 7.42188e-01],
[ 9.27734e-02, -3.55469e-01, -1.26562e+00, ..., -3.90625e-01, -1.36719e+00, 2.55859e-01],
[ 4.27246e-02, -2.77344e-01, -1.26562e+00, ..., -5.11719e-01, -1.46094e+00, 2.07031e-01],
...,
[ 2.89062e-01, -6.01562e-01, -1.16406e+00, ..., -7.14844e-01, -1.25000e+00, 2.53906e-01],
[ 3.49609e-01, -4.10156e-01, -1.01562e+00, ..., -4.45312e-01, -1.20312e+00, 2.35352e-01],
[ 6.32812e-01, -3.30078e-01, -1.00781e+00, ..., -4.49219e-01, -4.72656e-01, -3.75000e-01]],
[[-6.28906e-01, -3.51562e-01, -1.32031e+00, ..., 5.54688e-01, -6.28906e-01, 9.41406e-01],
[ 1.22559e-01, -3.02734e-01, -1.59375e+00, ..., -5.78125e-01, -1.45312e+00, 1.15967e-03],
[ 4.86328e-01, -3.28125e-01, -1.32031e+00, ..., -7.30469e-01, -1.07812e+00, -9.15527e-03],
...,
[ 2.43164e-01, -5.89844e-01, -1.09375e+00, ..., -3.30078e-01, -1.21875e+00, 2.24609e-01],
[ 1.66016e-01, -5.07812e-01, -1.31250e+00, ..., -3.30078e-01, -1.55469e+00, 5.11719e-01],
[ 2.81250e-01, -1.10352e-01, -1.22656e+00, ..., -5.50781e-01, -8.08594e-01, -3.35938e-01]],
...,
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gh-slack-bridge
ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636
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