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YufengShi-duduYufengShi-dudu
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Arm backend: Add VGF unit tests to operators (Part 1) (#13032)
- Included aten.abs to aten.full Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
1 parent a42c8f4 commit 9078b49

39 files changed

+1691
-11
lines changed

‎backends/arm/test/ops/test_abs.py‎

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@@ -15,6 +15,7 @@
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EthosU85PipelineINT,
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TosaPipelineFP,
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TosaPipelineINT,
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VgfPipeline,
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)
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aten_op = "torch.ops.aten.abs.default"
@@ -66,3 +67,25 @@ def test_abs_u85_INT(test_data: torch.Tensor):
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Abs(), test_data(), aten_op, exir_op, run_on_fvp=True
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)
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pipeline.run()
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@common.parametrize("test_data", Abs.test_parameters)
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@common.SkipIfNoModelConverter
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def test_abs_vgf_FP(test_data: input_t1):
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pipeline = VgfPipeline[input_t1](
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Abs(), test_data(), aten_op, exir_op, tosa_version="TOSA-1.0+FP"
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)
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pipeline.run()
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@common.parametrize("test_data", Abs.test_parameters)
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@common.SkipIfNoModelConverter
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def test_abs_vgf_INT(test_data: input_t1):
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pipeline = VgfPipeline[input_t1](
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Abs(),
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test_data(),
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aten_op,
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exir_op,
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tosa_version="TOSA-1.0+INT",
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)
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pipeline.run()

‎backends/arm/test/ops/test_acosh.py‎

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@@ -14,6 +14,7 @@
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EthosU85PipelineINT,
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TosaPipelineFP,
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TosaPipelineINT,
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VgfPipeline,
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)
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input_t = Tuple[torch.Tensor] # Input x
@@ -112,3 +113,27 @@ def test_acosh_u85_INT_xfail(test_data: Tuple):
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run_on_fvp=False,
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)
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pipeline.run()
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@common.parametrize("test_data", test_data_suite)
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@common.SkipIfNoModelConverter
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def test_acosh_vgf_FP(test_data: Tuple):
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pipeline = VgfPipeline[input_t](
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Acosh(),
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(test_data(),),
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aten_op,
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tosa_version="TOSA-1.0+FP",
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)
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pipeline.run()
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@common.parametrize("test_data", test_data_suite)
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@common.SkipIfNoModelConverter
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def test_acosh_vgf_INT(test_data: Tuple):
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pipeline = VgfPipeline[input_t](
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Acosh(),
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(test_data(),),
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aten_op,
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tosa_version="TOSA-1.0+INT",
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)
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pipeline.run()

‎backends/arm/test/ops/test_adaptive_avg_pool2d.py‎

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@@ -14,6 +14,7 @@
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EthosU85PipelineINT,
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TosaPipelineFP,
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TosaPipelineINT,
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VgfPipeline,
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)
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exir_op = "executorch_exir_dialects_edge__ops_aten_avg_pool2d_default"
@@ -161,3 +162,31 @@ def test_adaptive_avg_pool2d_u85_INT(test_module):
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exir_ops=exir_op,
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)
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pipeline.run()
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@common.parametrize("test_module", test_modules)
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@common.SkipIfNoModelConverter
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def test_adaptive_avg_pool2d_vgf_FP(test_module):
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model, input_tensor = test_module()
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pipeline = VgfPipeline[input_t](
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model,
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input_tensor,
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[],
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exir_op,
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tosa_version="TOSA-1.0+FP",
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)
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pipeline.run()
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@common.parametrize("test_module", test_modules)
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@common.SkipIfNoModelConverter
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def test_adaptive_avg_pool2d_vgf_INT(test_module):
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model, input_tensor = test_module()
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pipeline = VgfPipeline[input_t](
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model,
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input_tensor,
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[],
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exir_op,
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tosa_version="TOSA-1.0+INT",
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)
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pipeline.run()

‎backends/arm/test/ops/test_addmm.py‎

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EthosU85PipelineINT,
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TosaPipelineFP,
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TosaPipelineINT,
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VgfPipeline,
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)
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aten_op = "torch.ops.aten.addmm.default"
@@ -155,3 +156,29 @@ def test_addmm_u85_INT(test_data: Tuple):
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exir_ops=exir_op,
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)
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pipeline.run()
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@common.parametrize("test_data", test_data_suite)
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@common.SkipIfNoModelConverter
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def test_addmm_vgf_FP(test_data: input_t1):
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pipeline = VgfPipeline[input_t1](
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Addmm(),
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(*test_data,),
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aten_op=aten_op,
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exir_op=exir_op,
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tosa_version="TOSA-1.0+FP",
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)
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pipeline.run()
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@common.parametrize("test_data", test_data_suite)
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@common.SkipIfNoModelConverter
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def test_addmm_vgf_INT(test_data: input_t1):
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pipeline = VgfPipeline[input_t1](
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Addmm(),
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(*test_data,),
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aten_op=[],
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exir_op=exir_op,
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tosa_version="TOSA-1.0+INT",
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)
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pipeline.run()

‎backends/arm/test/ops/test_alias_copy.py‎

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@@ -12,6 +12,7 @@
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EthosU85PipelineINT,
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TosaPipelineFP,
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TosaPipelineINT,
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VgfPipeline,
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)
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input_t1 = Tuple[torch.Tensor]
@@ -83,3 +84,29 @@ def test_alias_u85_INT(test_data: input_t1):
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AliasCopy.aten_op,
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AliasCopy.exir_op,
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).run()
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@common.parametrize("test_data", AliasCopy.test_data)
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@common.SkipIfNoModelConverter
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def test_alias_vgf_FP(test_data: input_t1):
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pipeline = VgfPipeline[input_t1](
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AliasCopy(),
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test_data(),
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AliasCopy.aten_op,
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AliasCopy.exir_op,
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tosa_version="TOSA-1.0+FP",
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)
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pipeline.run()
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@common.parametrize("test_data", AliasCopy.test_data)
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@common.SkipIfNoModelConverter
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def test_alias_vgf_INT(test_data: input_t1):
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pipeline = VgfPipeline[input_t1](
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AliasCopy(),
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test_data(),
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AliasCopy.aten_op,
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AliasCopy.exir_op,
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tosa_version="TOSA-1.0+INT",
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)
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pipeline.run()

‎backends/arm/test/ops/test_amax.py‎

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OpNotSupportedPipeline,
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TosaPipelineFP,
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TosaPipelineINT,
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VgfPipeline,
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)
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data, dim = Max.test_data["rank_4_dim_3"]()
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pipeline = OpNotSupportedPipeline[Max.input_t](MaxWithIndex(dim), data, {})
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pipeline.run()
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@common.parametrize("test_data", Amax.test_data)
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@common.SkipIfNoModelConverter
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def test_amax_vgf_FP(test_data: Amax.input_t):
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data, dim, keep_dims = test_data()
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module = Amax(dim, keep_dims)
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pipeline = VgfPipeline[Amax.input_t](
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module,
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data,
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Amax.aten_op,
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tosa_version="TOSA-1.0+FP",
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)
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pipeline.run()
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@common.parametrize("test_data", Amax.test_data)
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@common.SkipIfNoModelConverter
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def test_amax_vgf_INT(test_data: Amax.input_t):
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data, dim, keep_dims = test_data()
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module = Amax(dim, keep_dims)
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pipeline = VgfPipeline[Amax.input_t](
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module,
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data,
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Amax.aten_op,
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tosa_version="TOSA-1.0+INT",
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)
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pipeline.run()
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@common.parametrize("test_data", Max.test_data)
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@common.SkipIfNoModelConverter
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def test_max_dim_vgf_FP_to_amax(test_data: Max.input_t):
175+
data, dim = test_data()
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pipeline = VgfPipeline[Max.input_t](
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Max(dim),
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data,
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"torch.ops.aten.max",
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tosa_version="TOSA-1.0+FP",
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)
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pipeline.run()
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@common.parametrize("test_data", Max.test_data)
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@common.SkipIfNoModelConverter
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def test_max_dim_vgf_INT_to_amax(test_data: Max.input_t):
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data, dim = test_data()
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pipeline = VgfPipeline[Max.input_t](
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Max(dim),
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data,
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"torch.ops.aten.amax",
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tosa_version="TOSA-1.0+INT",
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)
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pipeline.run()

‎backends/arm/test/ops/test_amin.py‎

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OpNotSupportedPipeline,
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TosaPipelineFP,
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TosaPipelineINT,
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VgfPipeline,
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)
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data, dim = Min.test_data["rank_4_dim_3"]()
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pipeline = OpNotSupportedPipeline[Min.input_t](MinWithIndex(dim), data, {})
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pipeline.run()
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@common.parametrize("test_data", Amin.test_data)
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@common.SkipIfNoModelConverter
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def test_amin_vgf_FP(test_data: Amin.input_t):
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data, dim, keep_dims = test_data()
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pipeline = VgfPipeline[Amin.input_t](
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Amin(dim, keep_dims), data, Amin.aten_op, tosa_version="TOSA-1.0+FP"
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)
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pipeline.run()
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@common.parametrize("test_data", Amin.test_data)
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@common.SkipIfNoModelConverter
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def test_amin_vgf_INT(test_data: Amin.input_t):
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data, dim, keep_dims = test_data()
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pipeline = VgfPipeline[Amin.input_t](
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Amin(dim, keep_dims),
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data,
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Amin.aten_op,
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tosa_version="TOSA-1.0+INT",
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)
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pipeline.run()
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@common.parametrize("test_data", Min.test_data)
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@common.SkipIfNoModelConverter
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def test_min_dim_vgf_FP_to_amin(test_data: Min.input_t):
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data, dim = test_data()
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pipeline = VgfPipeline[Min.input_t](
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Min(dim),
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data,
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"torch.ops.aten.min",
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tosa_version="TOSA-1.0+FP",
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)
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pipeline.run()
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@common.parametrize("test_data", Min.test_data)
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@common.SkipIfNoModelConverter
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def test_min_dim_vgf_INT_to_amin(test_data: Min.input_t):
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data, dim = test_data()
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pipeline = VgfPipeline[Min.input_t](
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Min(dim),
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data,
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"torch.ops.aten.amin",
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tosa_version="TOSA-1.0+INT",
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)
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pipeline.run()

‎backends/arm/test/ops/test_any.py‎

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OpNotSupportedPipeline,
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TosaPipelineFP,
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TosaPipelineINT,
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VgfPipeline,
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)
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pipeline.pop_stage("quantize")
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pipeline.pop_stage("check.quant_nodes")
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pipeline.run()
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@common.parametrize("test_data", test_data)
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@common.SkipIfNoModelConverter
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def test_any_vgf_FP(test_data: input_t1):
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op, data_fn = test_data()
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pipeline = VgfPipeline[input_t1](
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op,
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data_fn(),
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op.aten_op,
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op.exir_op,
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tosa_version="TOSA-1.0+FP",
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)
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pipeline.run()
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@common.parametrize("test_data", test_data)
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@common.SkipIfNoModelConverter
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def test_any_vgf_INT(test_data: input_t1):
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op, data_fn = test_data()
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pipeline = VgfPipeline[input_t1](
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op,
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data_fn(),
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op.aten_op,
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op.exir_op,
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tosa_version="TOSA-1.0+INT",
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)
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pipeline.pop_stage("quantize")
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pipeline.pop_stage("check.quant_nodes")
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pipeline.run()

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