From 837ad7f86fe5de124b2d3a6c4933747fa30d92ea Mon Sep 17 00:00:00 2001 From: tink2123 Date: Sun, 10 Mar 2019 09:42:39 +0000 Subject: [PATCH] Add the inverse trigonometric function test=develop --- paddle/fluid/API.spec | 3 + paddle/fluid/operators/activation_op.cc | 27 +++++ paddle/fluid/operators/activation_op.h | 103 +++++++++++++++++- python/paddle/fluid/layers/ops.py | 3 + .../tests/unittests/test_activation_op.py | 54 +++++++++ 5 files changed, 187 insertions(+), 3 deletions(-) diff --git a/paddle/fluid/API.spec b/paddle/fluid/API.spec index a4e683da0b..00bd23b1fe 100644 --- a/paddle/fluid/API.spec +++ b/paddle/fluid/API.spec @@ -292,6 +292,7 @@ paddle.fluid.layers.sigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords= paddle.fluid.layers.logsigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '81ccb7acafd06c7728e11581f5d342e3')) paddle.fluid.layers.exp (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'e6b3e769413d96aab4176f96db25984b')) paddle.fluid.layers.tanh (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'e9d586a0b5bd05f67ee78048f9d503b6')) +paddle.fluid.layers.atan (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '7ca26a8235099486bdf243754439c6b6')) paddle.fluid.layers.tanh_shrink (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '1e521554b9fdda9061ec6d306f0709b7')) paddle.fluid.layers.softshrink (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '9eef31597bbafa2bd49691e072296e13')) paddle.fluid.layers.sqrt (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '072a8541e0f632366bba10f67cb0db27')) @@ -299,7 +300,9 @@ paddle.fluid.layers.abs (ArgSpec(args=['x', 'name'], varargs=None, keywords=None paddle.fluid.layers.ceil (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'c75d67dc5fe28f68e4cfffead4f698ad')) paddle.fluid.layers.floor (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '647b16c5da5ef909649ae02abb434973')) paddle.fluid.layers.cos (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '485f2686bcc2fe37a4bd893769c8a3e2')) +paddle.fluid.layers.acos (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'c721122352acfc1853bffadf2d59103b')) paddle.fluid.layers.sin (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '01f1766aa76eff1df30147505b59f7c4')) +paddle.fluid.layers.asin (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '0619b891e80f419b28016cde3d106c68')) paddle.fluid.layers.round (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'b47f5da13913d3e56bdb1e612a73f3f2')) paddle.fluid.layers.reciprocal (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'cc6ac2f14f03c52aaa83a59bf83b8d26')) paddle.fluid.layers.square (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '48dfb45d773dbc30126c3a7f777de5ee')) diff --git a/paddle/fluid/operators/activation_op.cc b/paddle/fluid/operators/activation_op.cc index 2feb8e4c47..cc948f2697 100644 --- a/paddle/fluid/operators/activation_op.cc +++ b/paddle/fluid/operators/activation_op.cc @@ -269,6 +269,27 @@ $$out = \\frac{x}{1 + \|x\|}$$ )DOC"; +UNUSED constexpr char AcosDoc[] = R"DOC( +Arccosine Activation Operator. + +$${out}_{i} = \cos^{-1}({input}_{i})$$ + +)DOC"; + +UNUSED constexpr char AsinDoc[] = R"DOC( +Arcsine Activation Operator. + +$out = \sin^{-1}({input}_{i})$ + +)DOC"; + +UNUSED constexpr char AtanDoc[] = R"DOC( +Arctanh Activation Operator. + +$out = \tanh^{-1}({input}_{i})$ + +)DOC"; + class LeakyReluOpMaker : public framework::OpProtoAndCheckerMaker { public: void Make() override { @@ -494,13 +515,16 @@ REGISTER_ACTIVATION_OP_MAKER(Exp, ExpDoc); REGISTER_ACTIVATION_OP_MAKER(Relu, ReluDoc); REGISTER_ACTIVATION_OP_MAKER(Gelu, GeluDoc); REGISTER_ACTIVATION_OP_MAKER(Tanh, TanhDoc); +REGISTER_ACTIVATION_OP_MAKER(Atan, AtanDoc); REGISTER_ACTIVATION_OP_MAKER(TanhShrink, TanhShrinkDoc); REGISTER_ACTIVATION_OP_MAKER(Sqrt, SqrtDoc); REGISTER_ACTIVATION_OP_MAKER(Abs, AbsDoc); REGISTER_ACTIVATION_OP_MAKER(Ceil, CeilDoc); REGISTER_ACTIVATION_OP_MAKER(Floor, FloorDoc); REGISTER_ACTIVATION_OP_MAKER(Cos, CosDoc); +REGISTER_ACTIVATION_OP_MAKER(Acos, AcosDoc); REGISTER_ACTIVATION_OP_MAKER(Sin, SinDoc); +REGISTER_ACTIVATION_OP_MAKER(Asin, AsinDoc); REGISTER_ACTIVATION_OP_MAKER(Round, RoundDoc); REGISTER_ACTIVATION_OP_MAKER(Reciprocal, ReciprocalDoc); REGISTER_ACTIVATION_OP_MAKER(Log, LogDoc); @@ -543,7 +567,10 @@ namespace ops = paddle::operators; __macro(SoftShrink, softshrink); \ __macro(Abs, abs); \ __macro(Cos, cos); \ + __macro(Acos, acos); \ __macro(Sin, sin); \ + __macro(Asin, asin); \ + __macro(Atan, atan); \ __macro(Round, round); \ __macro(Log, log); \ __macro(Square, square); \ diff --git a/paddle/fluid/operators/activation_op.h b/paddle/fluid/operators/activation_op.h index 1f5ae7fb5c..ff7e623f6f 100644 --- a/paddle/fluid/operators/activation_op.h +++ b/paddle/fluid/operators/activation_op.h @@ -39,9 +39,8 @@ namespace operators { Please refer to the layer_helper.py and get the details. */ static std::unordered_set InplaceOpSet = { - "sigmoid", "exp", "relu", "tanh", "sqrt", "ceil", - "floor", "reciprocal", "relu6", "soft_relu", "hard_sigmoid", -}; + "sigmoid", "exp", "relu", "tanh", "sqrt", "ceil", + "floor", "reciprocal", "relu6", "soft_relu", "hard_sigmoid"}; static bool IsInplace(const std::string& op) { bool inplace = InplaceOpSet.count(op); @@ -553,6 +552,101 @@ struct SinFunctor : public BaseActivationFunctor { } }; +template +struct Acos { + HOSTDEVICE T operator()(const T& val) const { return acos(val); } +}; + +template <> +struct Acos { + HOSTDEVICE platform::float16 operator()(const platform::float16& val) const { + return platform::float16(acos(static_cast(val))); + } +}; + +// Acos(x) = acos(x) +template +struct AcosFunctor : public BaseActivationFunctor { + template + void operator()(Device d, X x, Out out) const { + out.device(d) = x.unaryExpr(Acos()); + } +}; + +// acos'(x) = -1/sqrt(1-x^2) +template +struct AcosGradFunctor : public BaseActivationFunctor { + template + void operator()(Device d, X x, Out out, dOut dout, dX dx) const { + dx.device(d) = + -dout * static_cast(1) / (static_cast(1) - x.square()).sqrt(); + } +}; + +template +struct Asin { + HOSTDEVICE T operator()(const T& val) const { return asin(val); } +}; + +template <> +struct Asin { + HOSTDEVICE platform::float16 operator()(const platform::float16& val) const { + return platform::float16(asin(static_cast(val))); + } +}; + +// Asin(x) = asin(x) +template +struct AsinFunctor : public BaseActivationFunctor { + template + void operator()(Device d, X x, Out out) const { + out.device(d) = x.unaryExpr(Asin()); + } +}; + +// asin'(x) = 1/sqrt(1-x^2) +template +struct AsinGradFunctor : public BaseActivationFunctor { + template + void operator()(Device d, X x, Out out, dOut dout, dX dx) const { + dx.device(d) = + dout * static_cast(1) / (static_cast(1) - x.square()).sqrt(); + } +}; + +template +struct Atan { + HOSTDEVICE T operator()(const T& val) const { return atan(val); } +}; + +template <> +struct Atan { + HOSTDEVICE platform::float16 operator()(const platform::float16& val) const { + return platform::float16(atan(static_cast(val))); + } +}; + +// Atan(x) = atan(x) +template +struct AtanFunctor : public BaseActivationFunctor { + template + void operator()(Device d, X x, Out out) const { + out.device(d) = x.unaryExpr(Atan()); + } +}; + +// atan'(x) = 1 / (1 + x^2) +template +struct AtanGradFunctor : public BaseActivationFunctor { + template + void operator()(Device d, X x, Out out, dOut dout, dX dx) const { + dx.device(d) = dout * static_cast(1) / (static_cast(1) + x.square()); + } +}; + // round(x) = [x] template struct RoundFunctor : public BaseActivationFunctor { @@ -1001,13 +1095,16 @@ struct SwishGradFunctor : public BaseActivationFunctor { __macro(relu, ReluFunctor, ReluGradFunctor); \ __macro(gelu, GeluFunctor, GeluGradFunctor); \ __macro(tanh, TanhFunctor, TanhGradFunctor); \ + __macro(atan, AtanFunctor, AtanGradFunctor); \ __macro(softshrink, SoftShrinkFunctor, SoftShrinkGradFunctor); \ __macro(sqrt, SqrtFunctor, SqrtGradFunctor); \ __macro(abs, AbsFunctor, AbsGradFunctor); \ __macro(ceil, CeilFunctor, ZeroGradFunctor); \ __macro(floor, FloorFunctor, ZeroGradFunctor); \ __macro(cos, CosFunctor, CosGradFunctor); \ + __macro(acos, AcosFunctor, AcosGradFunctor); \ __macro(sin, SinFunctor, SinGradFunctor); \ + __macro(asin, AsinFunctor, AsinGradFunctor); \ __macro(round, RoundFunctor, ZeroGradFunctor); \ __macro(reciprocal, ReciprocalFunctor, ReciprocalGradFunctor); \ __macro(log, LogFunctor, LogGradFunctor); \ diff --git a/python/paddle/fluid/layers/ops.py b/python/paddle/fluid/layers/ops.py index 4381727a09..f018bb8af8 100644 --- a/python/paddle/fluid/layers/ops.py +++ b/python/paddle/fluid/layers/ops.py @@ -23,6 +23,7 @@ __activations_noattr__ = [ 'logsigmoid', 'exp', 'tanh', + 'atan', 'tanh_shrink', 'softshrink', 'sqrt', @@ -30,6 +31,8 @@ __activations_noattr__ = [ 'ceil', 'floor', 'cos', + 'acos', + 'asin', 'sin', 'round', 'reciprocal', diff --git a/python/paddle/fluid/tests/unittests/test_activation_op.py b/python/paddle/fluid/tests/unittests/test_activation_op.py index d5a8385409..d587715d60 100644 --- a/python/paddle/fluid/tests/unittests/test_activation_op.py +++ b/python/paddle/fluid/tests/unittests/test_activation_op.py @@ -100,6 +100,23 @@ class TestTanh(TestActivation): self.check_grad(['X'], 'Out', max_relative_error=0.007) +class TestAtan(TestActivation): + def setUp(self): + self.op_type = "atan" + self.init_dtype() + + x = np.random.uniform(0.1, 1, [11, 17]).astype(self.dtype) + out = np.arctan(x) + + self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)} + self.outputs = {'Out': out} + + def test_check_grad(self): + if self.dtype == np.float16: + return + self.check_grad(['X'], 'Out', max_relative_error=0.007) + + class TestTanhShrink(TestActivation): def setUp(self): self.op_type = "tanh_shrink" @@ -248,6 +265,23 @@ class TestCos(TestActivation): self.check_grad(['X'], 'Out', max_relative_error=0.007) +class TestAcos(TestActivation): + def setUp(self): + self.op_type = "acos" + self.init_dtype() + + x = np.random.uniform(-1, 1, [4, 4]).astype(self.dtype) + out = np.arccos(x) + + self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)} + self.outputs = {'Out': out} + + def test_check_grad(self): + if self.dtype == np.float16: + return + self.check_grad(['X'], 'Out', max_relative_error=0.007) + + class TestSin(TestActivation): def setUp(self): self.op_type = "sin" @@ -265,6 +299,23 @@ class TestSin(TestActivation): self.check_grad(['X'], 'Out', max_relative_error=0.007) +class TestAsin(TestActivation): + def setUp(self): + self.op_type = "asin" + self.init_dtype() + + x = np.random.uniform(-1, 1, [4, 4]).astype(self.dtype) + out = np.arcsin(x) + + self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)} + self.outputs = {'Out': out} + + def test_check_grad(self): + if self.dtype == np.float16: + return + self.check_grad(['X'], 'Out', max_relative_error=0.007) + + class TestRound(TestActivation): def setUp(self): self.op_type = "round" @@ -665,7 +716,10 @@ create_test_act_fp16_class(TestAbs) create_test_act_fp16_class(TestCeil, grad_check=False) create_test_act_fp16_class(TestFloor, grad_check=False) create_test_act_fp16_class(TestCos, grad_atol=0.85) +create_test_act_fp16_class(TestAcos, grad_atol=0.85) create_test_act_fp16_class(TestSin) +create_test_act_fp16_class(TestAsin) +create_test_act_fp16_class(TestAtan) create_test_act_fp16_class(TestRound, grad_check=False) create_test_act_fp16_class(TestRelu) create_test_act_fp16_class(TestGelu) -- GitLab