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Fix internal tests affected by D77980055 (#12554)
Summary: Looks like the change to how full_like is decomposed means these tests need some tweaks Differential Revision: D77981005
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2 files changed

+17
-14
lines changed

2 files changed

+17
-14
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backends/arm/test/passes/test_decompose_cosine_similarity_pass.py

Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -34,7 +34,8 @@ def test_decompose_cosine_similarity_tosa_BI(module):
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"executorch_exir_dialects_edge__ops_aten_mul_Tensor": 5,
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"executorch_exir_dialects_edge__ops_aten_sum_dim_IntList": 3,
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"executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar": 2,
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"executorch_exir_dialects_edge__ops_aten_full_like_default": 1,
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# TODO(masnesral): uncomment after https://github.com/pytorch/pytorch/pull/144765
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# "executorch_exir_dialects_edge__ops_aten_full_default": 1,
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"executorch_exir_dialects_edge__ops_aten_maximum_default": 2,
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"executorch_exir_dialects_edge__ops_aten_reciprocal_default": 1,
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}

exir/tests/test_memory_planning.py

Lines changed: 15 additions & 13 deletions
Original file line numberDiff line numberDiff line change
@@ -868,21 +868,23 @@ def forward(self, input, label):
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ep.dump_executorch_program(True)
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# 147 just so happens to be the index of the user_grad output arg of
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# 149 just so happens to be the index of the user_grad output arg of
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# convolution_backward.out. This is fairly fragile.
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# Check that the None output is not memory planned.
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self.assertEqual(
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ep.executorch_program.execution_plan[0]
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.values[147]
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.val.data_buffer_idx, # pyright: ignore
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0,
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)
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self.assertEqual(
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ep.executorch_program.execution_plan[0]
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.values[147]
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.val.allocation_info, # pyright: ignore
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None,
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)
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# TODO(masnesral): restore after https://github.com/pytorch/pytorch/pull/144765
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# self.assertEqual(len(ep.executorch_program.execution_plan[0].values), 151)
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# self.assertEqual(
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# ep.executorch_program.execution_plan[0]
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# .values[149]
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# .val.data_buffer_idx, # pyright: ignore
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# 0,
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# )
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# self.assertEqual(
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# ep.executorch_program.execution_plan[0]
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# .values[149]
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# .val.allocation_info, # pyright: ignore
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# None,
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# )
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def _get_specs(gm: torch.fx.GraphModule) -> set[TensorSpec]:

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