示例#1
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 def test_addmm_broadcast_with_alpha_and_beta(self):
     """Test of the PyTorch addmm with broadcasting add on Glow."""
     utils.run_comparison_tests(
         SimpleAddMmModule(2.0, 3.0),
         (torch.randn(4), torch.randn(6, 10), torch.randn(10, 4)),
         fusible_ops={"aten::add", "aten::mm"},
     )
示例#2
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 def test_div(self, _, module, a, b, skip_for_backends={}):
     utils.run_comparison_tests(
         module,
         (a, b),
         fusible_ops={"aten::div"},
         skip_for_backends=skip_for_backends,
     )
示例#3
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 def test_floor_div(self, _, module, left, right):
     utils.run_comparison_tests(
         module,
         (left, right),
         fusible_ops={"aten::floor_divide"},
         skip_for_backends="NNPI",
     )
示例#4
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 def test_baddbmm_broadcast_with_alpha_and_beta(self):
     """Test of the PyTorch baddbmm with broadcasting add on Glow, a=2/b=3"""
     utils.run_comparison_tests(
         SimpleBAddBmmModule(2.0, 3.0),
         (torch.randn(1, 4), torch.randn(3, 6, 10), torch.randn(3, 10, 4)),
         fusible_ops={"aten::baddbmm"},
     )
示例#5
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 def test_baddbmm_broadcast(self):
     """Test of the PyTorch baddbmm with broadcasting add on Glow."""
     utils.run_comparison_tests(
         SimpleBAddBmmModule(),
         (torch.randn(1, 4), torch.randn(3, 6, 10), torch.randn(3, 10, 4)),
         fusible_ops={"aten::baddbmm"},
     )
示例#6
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 def test_and(self, _, a, b, skip_to_glow=False):
     utils.run_comparison_tests(
         SimpleAndModule(),
         (a, b),
         fusible_ops={"aten::__and__"},
         skip_to_glow=skip_to_glow,
     )
示例#7
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    def test_avg_pool3d_basic(self):
        """Basic test of the PyTorch avg_pool3d Node on Glow."""

        inputs = torch.randn(1, 4, 5, 5, 5)

        utils.run_comparison_tests(
            SimpleAvgPool3dModule(3), inputs, fusible_ops={"aten::avg_pool3d"}
        )
示例#8
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 def test_baddbmm_basic(self):
     """Basic test of the PyTorch baddbmm Node on Glow."""
     utils.run_comparison_tests(
         SimpleBAddBmmModule(),
         (torch.randn(3, 6, 4), torch.randn(3, 6, 10), torch.randn(
             3, 10, 4)),
         fusible_ops={"aten::baddbmm"},
     )
示例#9
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    def test_avg_pool3d_with_args(self):
        """Test of the PyTorch avg_pool3d Node with arguments on Glow."""
        inputs = torch.randn(1, 4, 10, 10, 10)

        utils.run_comparison_tests(
            SimpleAvgPool3dModule(3, (4, 7, 7)),
            inputs,
            fusible_ops={"aten::avg_pool3d"},
        )
示例#10
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 def test_addmm_basic(self):
     """Basic test of the PyTorch addmm Node on Glow."""
     utils.run_comparison_tests(
         SimpleAddMmModule(),
         (torch.randn(6, 4), torch.randn(6, 10), torch.randn(10, 4)),
         fusible_ops={"aten::add", "aten::mm"},
         fp16vfp16_atol=1e-3,
         fp16vfp16_rtol=1e-3,
     )
示例#11
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    def test_abs_3d(self):
        """Test multidimensional tensor for the PyTorch Abs Node on Glow."""

        x = torch.randn(2, 3, 5)
        utils.run_comparison_tests(
            SimpleAbsModule(),
            x,
            fusible_ops={"aten::abs"},
        )
示例#12
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    def test_abs_basic(self):
        """Basic test of the PyTorch Abs Node on Glow."""

        x = torch.randn(10)
        utils.run_comparison_tests(
            SimpleAbsModule(),
            x,
            fusible_ops={"aten::abs"},
        )
    def test_adaptive_avg_pool2d_basic(self):
        """Basic test of PyTorch adaptive_avg_pool2d Node."""
        inputs = torch.randn(3, 6, 14, 14)

        utils.run_comparison_tests(
            SimpleAdapativeAvgPool2dModule((5, 5)),
            inputs,
            fusible_ops={"aten::adaptive_avg_pool2d"},
        )
示例#14
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    def test_mul(self, _, left, right, skip_to_glow=False):
        """Basic test of the PyTorch mul Node on Glow."""

        utils.run_comparison_tests(
            SimpleMulModule(),
            (left, right),
            fusible_ops={"aten::mul"},
            skip_to_glow=skip_to_glow,
        )
    def test_adaptive_avg_pool2d_nonsquare_outputs(self):
        """Test of PyTorch adaptive_avg_pool2d Node with non-square outputs."""

        inputs = torch.randn(3, 6, 14, 14)

        utils.run_comparison_tests(
            SimpleAdapativeAvgPool2dModule((5, 3)),
            inputs,
            fusible_ops={"aten::adaptive_avg_pool2d"},
        )
示例#16
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    def test_avg_pool2d_with_args(self):
        """Test of the PyTorch avg_pool2d Node with arguments on Glow."""

        inputs = torch.randn(1, 4, 10, 10)

        utils.run_comparison_tests(
            SimpleAvgPool2dModule(3, stride=7),
            inputs,
            fusible_ops={"aten::avg_pool2d"},
            fp16vfp16_atol=1e-3,
        )
示例#17
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 def test_subtract(self, _, module, tensor, other):
     utils.run_comparison_tests(module, (tensor, other),
                                fusible_ops={"aten::sub"})
示例#18
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 def test_argmax_node(self, _, module, tensor):
     """Test of the PyTorch ArgMax node on Glow."""
     utils.run_comparison_tests(module,
                                tensor,
                                fusible_ops={"aten::argmax"})
示例#19
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 def test_arange(self, _, module, dummy):
     """Testing arange with minimum parameters"""
     utils.run_comparison_tests(module, dummy, fusible_ops={"aten::arange"})
示例#20
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 def test_add(self, _, module, a, b, skip_to_glow=False):
     utils.run_comparison_tests(
         module,
         (a, b),
         fusible_ops={"aten::add_"} if module.inplace else {"aten::add"},
     )