diff --git a/doc/constants/constants.qbk b/doc/constants/constants.qbk index 24092adf56..9cce152da1 100644 --- a/doc/constants/constants.qbk +++ b/doc/constants/constants.qbk @@ -227,6 +227,11 @@ either construct from a decimal digit string or calculate on the fly depending u [[Any other value ['N]][Sets the compile time precision to ['N] bits.]] ] +[h5 GPU Support] + +All Boost.Math constants are marked with `BOOST_MATH_GPU_ENABLED` and can be used on both host and device. +Note that when running on device you are limited to using only `float` and `double` types. + [h5 Custom Specializing a constant] In addition, for user-defined types that need special handling, it's possible to partially-specialize diff --git a/doc/distributions/arcsine.qbk b/doc/distributions/arcsine.qbk index fbd6e86b1e..7930f97d5a 100644 --- a/doc/distributions/arcsine.qbk +++ b/doc/distributions/arcsine.qbk @@ -21,11 +21,11 @@ typedef Policy policy_type; // Constructor from two range parameters, x_min and x_max: - arcsine_distribution(RealType x_min = 0, RealType x_max = 1); + BOOST_MATH_GPU_ENABLED arcsine_distribution(RealType x_min = 0, RealType x_max = 1); // Range Parameter accessors: - RealType x_min() const; - RealType x_max() const; + BOOST_MATH_GPU_ENABLED RealType x_min() const; + BOOST_MATH_GPU_ENABLED RealType x_max() const; }; }} // namespaces @@ -103,8 +103,8 @@ constructs a 'Standard 01' arcsine distribution. [h5 Parameter Accessors] - RealType x_min() const; - RealType x_max() const; + BOOST_MATH_GPU_ENABLED RealType x_min() const; + BOOST_MATH_GPU_ENABLED RealType x_max() const; Return the parameter ['x_min] or ['x_max] from which this distribution was constructed. @@ -116,6 +116,8 @@ So, for example: All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. The formulae for calculating these are shown in the table below, and at [@http://mathworld.wolfram.com/arcsineDistribution.html Wolfram Mathworld]. diff --git a/doc/distributions/bernoulli.qbk b/doc/distributions/bernoulli.qbk index 4a2fc7b618..719c42cd9e 100644 --- a/doc/distributions/bernoulli.qbk +++ b/doc/distributions/bernoulli.qbk @@ -16,9 +16,9 @@ typedef RealType value_type; typedef Policy policy_type; - bernoulli_distribution(RealType p); // Constructor. + BOOST_MATH_GPU_ENABLED bernoulli_distribution(RealType p); // Constructor. // Accessor function. - RealType success_fraction() const + BOOST_MATH_GPU_ENABLED RealType success_fraction() const // Probability of success (as a fraction). }; }} // namespaces @@ -51,12 +51,12 @@ and the [@http://en.wikipedia.org/wiki/Cumulative_Distribution_Function Cumulati [h4 Member Functions] - bernoulli_distribution(RealType p); + BOOST_MATH_GPU_ENABLED bernoulli_distribution(RealType p); Constructs a [@http://en.wikipedia.org/wiki/bernoulli_distribution bernoulli distribution] with success_fraction /p/. - RealType success_fraction() const + BOOST_MATH_GPU_ENABLED RealType success_fraction() const Returns the /success_fraction/ parameter of this distribution. @@ -64,6 +64,8 @@ Returns the /success_fraction/ parameter of this distribution. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. The domain of the random variable is 0 and 1, and the useful supported range is only 0 or 1. diff --git a/doc/distributions/beta.qbk b/doc/distributions/beta.qbk index 95943f715d..5ba1a6d1cc 100644 --- a/doc/distributions/beta.qbk +++ b/doc/distributions/beta.qbk @@ -19,30 +19,30 @@ typedef RealType value_type; typedef Policy policy_type; // Constructor from two shape parameters, alpha & beta: - beta_distribution(RealType a, RealType b); + BOOST_MATH_GPU_ENABLED beta_distribution(RealType a, RealType b); // Parameter accessors: - RealType alpha() const; - RealType beta() const; + BOOST_MATH_GPU_ENABLED RealType alpha() const; + BOOST_MATH_GPU_ENABLED RealType beta() const; // Parameter estimators of alpha or beta from mean and variance. - static RealType find_alpha( + BOOST_MATH_GPU_ENABLED static RealType find_alpha( RealType mean, // Expected value of mean. RealType variance); // Expected value of variance. - static RealType find_beta( + BOOST_MATH_GPU_ENABLED static RealType find_beta( RealType mean, // Expected value of mean. RealType variance); // Expected value of variance. // Parameter estimators from // either alpha or beta, and x and probability. - static RealType find_alpha( + BOOST_MATH_GPU_ENABLED static RealType find_alpha( RealType beta, // from beta. RealType x, // x. RealType probability); // cdf - static RealType find_beta( + BOOST_MATH_GPU_ENABLED static RealType find_beta( RealType alpha, // alpha. RealType x, // probability x. RealType probability); // probability cdf. @@ -98,7 +98,7 @@ whose apex is away from the centre (where x = half). [h5 Constructor] - beta_distribution(RealType alpha, RealType beta); + BOOST_MATH_GPU_ENABLED beta_distribution(RealType alpha, RealType beta); Constructs a beta distribution with shape parameters /alpha/ and /beta/. @@ -117,11 +117,11 @@ in the graph above). [h5 Parameter Accessors] - RealType alpha() const; + BOOST_MATH_GPU_ENABLED RealType alpha() const; Returns the parameter /alpha/ from which this distribution was constructed. - RealType beta() const; + BOOST_MATH_GPU_ENABLED RealType beta() const; Returns the parameter /beta/ from which this distribution was constructed. @@ -182,6 +182,8 @@ Returns the value of [beta] that gives: All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. The formulae for calculating these are shown in the table below, and at [@http://mathworld.wolfram.com/BetaDistribution.html Wolfram Mathworld]. diff --git a/doc/distributions/cauchy.qbk b/doc/distributions/cauchy.qbk index 2d388740a3..e59e3760ed 100644 --- a/doc/distributions/cauchy.qbk +++ b/doc/distributions/cauchy.qbk @@ -15,10 +15,10 @@ typedef RealType value_type; typedef Policy policy_type; - cauchy_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED cauchy_distribution(RealType location = 0, RealType scale = 1); - RealType location()const; - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType location()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; }; The [@http://en.wikipedia.org/wiki/Cauchy_distribution Cauchy-Lorentz distribution] @@ -53,7 +53,7 @@ the distribution: [h4 Member Functions] - cauchy_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED cauchy_distribution(RealType location = 0, RealType scale = 1); Constructs a Cauchy distribution, with location parameter /location/ and scale parameter /scale/. When these parameters take their default @@ -62,11 +62,11 @@ then the result is a Standard Cauchy Distribution. Requires scale > 0, otherwise calls __domain_error. - RealType location()const; + BOOST_MATH_GPU_ENABLED RealType location()const; Returns the location parameter of the distribution. - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; Returns the scale parameter of the distribution. @@ -74,6 +74,8 @@ Returns the scale parameter of the distribution. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. Note however that the Cauchy distribution does not have a mean, standard deviation, etc. See __math_undefined diff --git a/doc/distributions/chi_squared.qbk b/doc/distributions/chi_squared.qbk index 753e1f401d..b52d4d392d 100644 --- a/doc/distributions/chi_squared.qbk +++ b/doc/distributions/chi_squared.qbk @@ -18,13 +18,13 @@ typedef Policy policy_type; // Constructor: - chi_squared_distribution(RealType i); + BOOST_MATH_GPU_ENABLED chi_squared_distribution(RealType i); // Accessor to parameter: - RealType degrees_of_freedom()const; + BOOST_MATH_GPU_ENABLED RealType degrees_of_freedom()const; // Parameter estimation: - static RealType find_degrees_of_freedom( + BOOST_MATH_GPU_ENABLED static RealType find_degrees_of_freedom( RealType difference_from_mean, RealType alpha, RealType beta, @@ -104,6 +104,8 @@ See also section on Sample sizes required in All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. (We have followed the usual restriction of the mode to degrees of freedom >= 2, but note that the maximum of the pdf is actually zero for degrees of freedom from 2 down to 0, diff --git a/doc/distributions/exponential.qbk b/doc/distributions/exponential.qbk index b47f0b8bcd..3c90a96483 100644 --- a/doc/distributions/exponential.qbk +++ b/doc/distributions/exponential.qbk @@ -15,9 +15,9 @@ typedef RealType value_type; typedef Policy policy_type; - exponential_distribution(RealType lambda = 1); + BOOST_MATH_GPU_ENABLED exponential_distribution(RealType lambda = 1); - RealType lambda()const; + BOOST_MATH_GPU_ENABLED RealType lambda()const; }; @@ -37,7 +37,7 @@ values of the rate parameter lambda: [h4 Member Functions] - exponential_distribution(RealType lambda = 1); + BOOST_MATH_GPU_ENABLED exponential_distribution(RealType lambda = 1); Constructs an [@http://en.wikipedia.org/wiki/Exponential_distribution Exponential distribution] @@ -46,7 +46,7 @@ Lambda is defined as the reciprocal of the scale parameter. Requires lambda > 0, otherwise calls __domain_error. - RealType lambda()const; + BOOST_MATH_GPU_ENABLED RealType lambda()const; Accessor function returns the lambda parameter of the distribution. @@ -54,6 +54,8 @@ Accessor function returns the lambda parameter of the distribution. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. The domain of the random variable is \[0, +[infin]\]. diff --git a/doc/distributions/extreme_value.qbk b/doc/distributions/extreme_value.qbk index 43f68546f9..f47467d2bd 100644 --- a/doc/distributions/extreme_value.qbk +++ b/doc/distributions/extreme_value.qbk @@ -14,10 +14,10 @@ public: typedef RealType value_type; - extreme_value_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED extreme_value_distribution(RealType location = 0, RealType scale = 1); - RealType scale()const; - RealType location()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType location()const; }; There are various @@ -59,18 +59,18 @@ And this graph illustrates how the PDF varies with the shape parameter: [h4 Member Functions] - extreme_value_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED extreme_value_distribution(RealType location = 0, RealType scale = 1); Constructs an Extreme Value distribution with the specified location and scale parameters. Requires `scale > 0`, otherwise calls __domain_error. - RealType location()const; + BOOST_MATH_GPU_ENABLED RealType location()const; Returns the location parameter of the distribution. - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; Returns the scale parameter of the distribution. @@ -78,6 +78,8 @@ Returns the scale parameter of the distribution. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. The domain of the random parameter is \[-[infin], +[infin]\]. diff --git a/doc/distributions/fisher.qbk b/doc/distributions/fisher.qbk index 80c9a9b29b..9b3a55f59d 100644 --- a/doc/distributions/fisher.qbk +++ b/doc/distributions/fisher.qbk @@ -17,11 +17,11 @@ typedef RealType value_type; // Construct: - fisher_f_distribution(const RealType& i, const RealType& j); + BOOST_MATH_GPU_ENABLED fisher_f_distribution(const RealType& i, const RealType& j); // Accessors: - RealType degrees_of_freedom1()const; - RealType degrees_of_freedom2()const; + BOOST_MATH_GPU_ENABLED RealType degrees_of_freedom1()const; + BOOST_MATH_GPU_ENABLED RealType degrees_of_freedom2()const; }; }} //namespaces @@ -46,7 +46,7 @@ two degrees of freedom parameters. [h4 Member Functions] - fisher_f_distribution(const RealType& df1, const RealType& df2); + BOOST_MATH_GPU_ENABLED fisher_f_distribution(const RealType& df1, const RealType& df2); Constructs an F-distribution with numerator degrees of freedom /df1/ and denominator degrees of freedom /df2/. @@ -54,11 +54,11 @@ and denominator degrees of freedom /df2/. Requires that /df1/ and /df2/ are both greater than zero, otherwise __domain_error is called. - RealType degrees_of_freedom1()const; + BOOST_MATH_GPU_ENABLED RealType degrees_of_freedom1()const; Returns the numerator degrees of freedom parameter of the distribution. - RealType degrees_of_freedom2()const; + BOOST_MATH_GPU_ENABLED RealType degrees_of_freedom2()const; Returns the denominator degrees of freedom parameter of the distribution. @@ -66,6 +66,8 @@ Returns the denominator degrees of freedom parameter of the distribution. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. The domain of the random variable is \[0, +[infin]\]. diff --git a/doc/distributions/gamma.qbk b/doc/distributions/gamma.qbk index 56be002194..dd34ed2fc0 100644 --- a/doc/distributions/gamma.qbk +++ b/doc/distributions/gamma.qbk @@ -12,10 +12,10 @@ typedef RealType value_type; typedef Policy policy_type; - gamma_distribution(RealType shape, RealType scale = 1) + BOOST_MATH_GPU_ENABLED gamma_distribution(RealType shape, RealType scale = 1) - RealType shape()const; - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType shape()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; }; }} // namespaces @@ -76,7 +76,7 @@ a dedicated Erlang Distribution. [h4 Member Functions] - gamma_distribution(RealType shape, RealType scale = 1); + BOOST_MATH_GPU_ENABLED gamma_distribution(RealType shape, RealType scale = 1); Constructs a gamma distribution with shape /shape/ and scale /scale/. @@ -84,11 +84,11 @@ scale /scale/. Requires that the shape and scale parameters are greater than zero, otherwise calls __domain_error. - RealType shape()const; + BOOST_MATH_GPU_ENABLED RealType shape()const; Returns the /shape/ parameter of this distribution. - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; Returns the /scale/ parameter of this distribution. @@ -96,6 +96,8 @@ Returns the /scale/ parameter of this distribution. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. The domain of the random variable is \[0,+[infin]\]. diff --git a/doc/distributions/geometric.qbk b/doc/distributions/geometric.qbk index cf1e2bff08..2a4357a2a5 100644 --- a/doc/distributions/geometric.qbk +++ b/doc/distributions/geometric.qbk @@ -17,28 +17,28 @@ typedef RealType value_type; typedef Policy policy_type; // Constructor from success_fraction: - geometric_distribution(RealType p); + BOOST_MATH_GPU_ENABLED geometric_distribution(RealType p); // Parameter accessors: - RealType success_fraction() const; - RealType successes() const; + BOOST_MATH_GPU_ENABLED RealType success_fraction() const; + BOOST_MATH_GPU_ENABLED RealType successes() const; // Bounds on success fraction: - static RealType find_lower_bound_on_p( + BOOST_MATH_GPU_ENABLED static RealType find_lower_bound_on_p( RealType trials, RealType successes, RealType probability); // alpha - static RealType find_upper_bound_on_p( + BOOST_MATH_GPU_ENABLED static RealType find_upper_bound_on_p( RealType trials, RealType successes, RealType probability); // alpha // Estimate min/max number of trials: - static RealType find_minimum_number_of_trials( + BOOST_MATH_GPU_ENABLED static RealType find_minimum_number_of_trials( RealType k, // Number of failures. RealType p, // Success fraction. RealType probability); // Probability threshold alpha. - static RealType find_maximum_number_of_trials( + BOOST_MATH_GPU_ENABLED static RealType find_maximum_number_of_trials( RealType k, // Number of failures. RealType p, // Success fraction. RealType probability); // Probability threshold alpha. @@ -268,6 +268,8 @@ of observing more than k failures. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. However it's worth taking a moment to define what these actually mean in the context of this distribution: diff --git a/doc/distributions/holtsmark.qbk b/doc/distributions/holtsmark.qbk index 49149ab929..39c42ff133 100644 --- a/doc/distributions/holtsmark.qbk +++ b/doc/distributions/holtsmark.qbk @@ -15,10 +15,10 @@ typedef RealType value_type; typedef Policy policy_type; - holtsmark_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED holtsmark_distribution(RealType location = 0, RealType scale = 1); - RealType location()const; - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType location()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; }; The [@http://en.wikipedia.org/wiki/holtsmark_distribution Holtsmark distribution] @@ -51,7 +51,7 @@ the distribution: [h4 Member Functions] - holtsmark_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED holtsmark_distribution(RealType location = 0, RealType scale = 1); Constructs a holtsmark distribution, with location parameter /location/ and scale parameter /scale/. When these parameters take their default @@ -60,11 +60,11 @@ then the result is a Standard holtsmark Distribution. Requires scale > 0, otherwise calls __domain_error. - RealType location()const; + BOOST_MATH_GPU_ENABLED RealType location()const; Returns the location parameter of the distribution. - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; Returns the scale parameter of the distribution. @@ -72,6 +72,8 @@ Returns the scale parameter of the distribution. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. Note however that the holtsmark distribution does not have a skewness, kurtosis, etc. See __math_undefined diff --git a/doc/distributions/inverse_chi_squared.qbk b/doc/distributions/inverse_chi_squared.qbk index 7bc75a8813..8d67082d07 100644 --- a/doc/distributions/inverse_chi_squared.qbk +++ b/doc/distributions/inverse_chi_squared.qbk @@ -12,11 +12,11 @@ typedef RealType value_type; typedef Policy policy_type; - inverse_chi_squared_distribution(RealType df = 1); // Not explicitly scaled, default 1/df. - inverse_chi_squared_distribution(RealType df, RealType scale = 1/df); // Scaled. + BOOST_MATH_GPU_ENABLED inverse_chi_squared_distribution(RealType df = 1); // Not explicitly scaled, default 1/df. + BOOST_MATH_GPU_ENABLED inverse_chi_squared_distribution(RealType df, RealType scale = 1/df); // Scaled. - RealType degrees_of_freedom()const; // Default 1. - RealType scale()const; // Optional scale [xi] (variance), default 1/degrees_of_freedom. + BOOST_MATH_GPU_ENABLED RealType degrees_of_freedom()const; // Default 1. + BOOST_MATH_GPU_ENABLED RealType scale()const; // Optional scale [xi] (variance), default 1/degrees_of_freedom. }; }} // namespace boost // namespace math @@ -99,8 +99,8 @@ varies for a few values of parameters [nu] and [xi]: [h4 Member Functions] - inverse_chi_squared_distribution(RealType df = 1); // Implicitly scaled 1/df. - inverse_chi_squared_distribution(RealType df = 1, RealType scale); // Explicitly scaled. + BOOST_MATH_GPU_ENABLED inverse_chi_squared_distribution(RealType df = 1); // Implicitly scaled 1/df. + BOOST_MATH_GPU_ENABLED inverse_chi_squared_distribution(RealType df = 1, RealType scale); // Explicitly scaled. Constructs an inverse chi_squared distribution with [nu] degrees of freedom ['df], and scale ['scale] with default value 1\/df. @@ -108,11 +108,11 @@ and scale ['scale] with default value 1\/df. Requires that the degrees of freedom [nu] parameter is greater than zero, otherwise calls __domain_error. - RealType degrees_of_freedom()const; + BOOST_MATH_GPU_ENABLED RealType degrees_of_freedom()const; Returns the degrees_of_freedom [nu] parameter of this distribution. - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; Returns the scale [xi] parameter of this distribution. @@ -120,6 +120,8 @@ Returns the scale [xi] parameter of this distribution. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. The domain of the random variate is \[0,+[infin]\]. [note Unlike some definitions, this implementation supports a random variate diff --git a/doc/distributions/inverse_gamma.qbk b/doc/distributions/inverse_gamma.qbk index 51d6538846..f657ec31b4 100644 --- a/doc/distributions/inverse_gamma.qbk +++ b/doc/distributions/inverse_gamma.qbk @@ -12,10 +12,10 @@ typedef RealType value_type; typedef Policy policy_type; - inverse_gamma_distribution(RealType shape, RealType scale = 1) + BOOST_MATH_GPU_ENABLED inverse_gamma_distribution(RealType shape, RealType scale = 1) - RealType shape()const; - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType shape()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; }; }} // namespaces @@ -63,18 +63,18 @@ varies as the parameters vary: [h4 Member Functions] - inverse_gamma_distribution(RealType shape = 1, RealType scale = 1); + BOOST_MATH_GPU_ENABLED inverse_gamma_distribution(RealType shape = 1, RealType scale = 1); Constructs an inverse gamma distribution with shape [alpha] and scale [beta]. Requires that the shape and scale parameters are greater than zero, otherwise calls __domain_error. - RealType shape()const; + BOOST_MATH_GPU_ENABLED RealType shape()const; Returns the [alpha] shape parameter of this inverse gamma distribution. - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; Returns the [beta] scale parameter of this inverse gamma distribution. @@ -82,6 +82,8 @@ Returns the [beta] scale parameter of this inverse gamma distribution. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. The domain of the random variate is \[0,+[infin]\]. [note Unlike some definitions, this implementation supports a random variate diff --git a/doc/distributions/landau.qbk b/doc/distributions/landau.qbk index b734505047..90dced0aa8 100644 --- a/doc/distributions/landau.qbk +++ b/doc/distributions/landau.qbk @@ -15,11 +15,11 @@ typedef RealType value_type; typedef Policy policy_type; - landau_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED landau_distribution(RealType location = 0, RealType scale = 1); - RealType location()const; - RealType scale()const; - RealType bias()const; + BOOST_MATH_GPU_ENABLED RealType location()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType bias()const; }; The [@http://en.wikipedia.org/wiki/landau_distribution Landau distribution] @@ -54,7 +54,7 @@ the distribution: [h4 Member Functions] - landau_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED landau_distribution(RealType location = 0, RealType scale = 1); Constructs a landau distribution, with location parameter /location/ and scale parameter /scale/. When these parameters take their default @@ -63,15 +63,15 @@ then the result is a Standard landau Distribution. Requires scale > 0, otherwise calls __domain_error. - RealType location()const; + BOOST_MATH_GPU_ENABLED RealType location()const; Returns the location parameter of the distribution. - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; Returns the scale parameter of the distribution. - RealType bias()const; + BOOST_MATH_GPU_ENABLED RealType bias()const; Returns the amount of translation by the scale parameter. [expression bias = - 2 / [pi] log(c)] @@ -80,6 +80,8 @@ Returns the amount of translation by the scale parameter. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. Note however that the landau distribution does not have a mean, standard deviation, etc. See __math_undefined diff --git a/doc/distributions/laplace.qbk b/doc/distributions/laplace.qbk index 1afa7f4e1e..6115efcb8b 100644 --- a/doc/distributions/laplace.qbk +++ b/doc/distributions/laplace.qbk @@ -17,10 +17,10 @@ typedef RealType value_type; typedef Policy policy_type; // Construct: - laplace_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED laplace_distribution(RealType location = 0, RealType scale = 1); // Accessors: - RealType location()const; - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType location()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; }; }} // namespaces @@ -49,7 +49,7 @@ Note that the domain of the random variable remains [h4 Member Functions] - laplace_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED laplace_distribution(RealType location = 0, RealType scale = 1); Constructs a laplace distribution with location /location/ and scale /scale/. @@ -61,11 +61,11 @@ The scale parameter is proportional to the standard deviation of the random vari Requires that the scale parameter is greater than zero, otherwise calls __domain_error. - RealType location()const; + BOOST_MATH_GPU_ENABLED RealType location()const; Returns the /location/ parameter of this distribution. - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; Returns the /scale/ parameter of this distribution. @@ -73,6 +73,8 @@ Returns the /scale/ parameter of this distribution. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. The domain of the random variable is \[-[infin],+[infin]\]. diff --git a/doc/distributions/logistic.qbk b/doc/distributions/logistic.qbk index 84b3a24f1d..dc42a5d8b3 100644 --- a/doc/distributions/logistic.qbk +++ b/doc/distributions/logistic.qbk @@ -15,10 +15,10 @@ typedef RealType value_type; typedef Policy policy_type; // Construct: - logistic_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED logistic_distribution(RealType location = 0, RealType scale = 1); // Accessors: - RealType location()const; // location. - RealType scale()const; // scale. + BOOST_MATH_GPU_ENABLED RealType location()const; // location. + BOOST_MATH_GPU_ENABLED RealType scale()const; // scale. }; @@ -39,17 +39,17 @@ parameters change: [h4 Member Functions] - logistic_distribution(RealType u = 0, RealType s = 1); + BOOST_MATH_GPU_ENABLED logistic_distribution(RealType u = 0, RealType s = 1); Constructs a logistic distribution with location /u/ and scale /s/. Requires `scale > 0`, otherwise a __domain_error is raised. - RealType location()const; + BOOST_MATH_GPU_ENABLED RealType location()const; Returns the location of this distribution. - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; Returns the scale of this distribution. @@ -57,6 +57,8 @@ Returns the scale of this distribution. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. The domain of the random variable is \[-\[max_value\], +\[min_value\]\]. However, the pdf and cdf support inputs of +[infin] and -[infin] diff --git a/doc/distributions/mapairy.qbk b/doc/distributions/mapairy.qbk index 97d624a932..817fb980da 100644 --- a/doc/distributions/mapairy.qbk +++ b/doc/distributions/mapairy.qbk @@ -15,10 +15,10 @@ typedef RealType value_type; typedef Policy policy_type; - mapairy_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED mapairy_distribution(RealType location = 0, RealType scale = 1); - RealType location()const; - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType location()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; }; It is special case of a [@http://en.wikipedia.org/wiki/Stable_distribution stable distribution] @@ -50,7 +50,7 @@ the distribution: [h4 Member Functions] - mapairy_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED mapairy_distribution(RealType location = 0, RealType scale = 1); Constructs a mapairy distribution, with location parameter /location/ and scale parameter /scale/. When these parameters take their default @@ -59,11 +59,11 @@ then the result is a Standard map-airy Distribution. Requires scale > 0, otherwise calls __domain_error. - RealType location()const; + BOOST_MATH_GPU_ENABLED RealType location()const; Returns the location parameter of the distribution. - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; Returns the scale parameter of the distribution. @@ -71,6 +71,8 @@ Returns the scale parameter of the distribution. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. Note however that the map-airy distribution does not have a skewness, kurtosis, etc. See __math_undefined diff --git a/doc/distributions/saspoint5.qbk b/doc/distributions/saspoint5.qbk index 1421b5bac2..06efbd32e5 100644 --- a/doc/distributions/saspoint5.qbk +++ b/doc/distributions/saspoint5.qbk @@ -15,10 +15,10 @@ typedef RealType value_type; typedef Policy policy_type; - saspoint5_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED saspoint5_distribution(RealType location = 0, RealType scale = 1); - RealType location()const; - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType location()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; }; It is special case of a [@http://en.wikipedia.org/wiki/Stable_distribution stable distribution] @@ -49,7 +49,7 @@ the distribution: [h4 Member Functions] - saspoint5_distribution(RealType location = 0, RealType scale = 1); + BOOST_MATH_GPU_ENABLED saspoint5_distribution(RealType location = 0, RealType scale = 1); Constructs a S[alpha]S Point5 distribution, with location parameter /location/ and scale parameter /scale/. When these parameters take their default @@ -58,11 +58,11 @@ then the result is a Standard S[alpha]S Point5 Distribution. Requires scale > 0, otherwise calls __domain_error. - RealType location()const; + BOOST_MATH_GPU_ENABLED RealType location()const; Returns the location parameter of the distribution. - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; Returns the scale parameter of the distribution. @@ -70,6 +70,8 @@ Returns the scale parameter of the distribution. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. Note however that the S[alpha]S Point5 distribution does not have a mean, standard deviation, etc. See __math_undefined diff --git a/doc/distributions/weibull.qbk b/doc/distributions/weibull.qbk index 3ec18b18d9..37139ab2c6 100644 --- a/doc/distributions/weibull.qbk +++ b/doc/distributions/weibull.qbk @@ -17,10 +17,10 @@ typedef RealType value_type; typedef Policy policy_type; // Construct: - weibull_distribution(RealType shape, RealType scale = 1) + BOOST_MATH_GPU_ENABLED weibull_distribution(RealType shape, RealType scale = 1) // Accessors: - RealType shape()const; - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType shape()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; }; }} // namespaces @@ -65,7 +65,7 @@ Samuel Kotz & Saralees Nadarajah]. [h4 Member Functions] - weibull_distribution(RealType shape, RealType scale = 1); + BOOST_MATH_GPU_ENABLED weibull_distribution(RealType shape, RealType scale = 1); Constructs a [@http://en.wikipedia.org/wiki/Weibull_distribution Weibull distribution] with shape /shape/ and scale /scale/. @@ -73,11 +73,11 @@ Weibull distribution] with shape /shape/ and scale /scale/. Requires that the /shape/ and /scale/ parameters are both greater than zero, otherwise calls __domain_error. - RealType shape()const; + BOOST_MATH_GPU_ENABLED RealType shape()const; Returns the /shape/ parameter of this distribution. - RealType scale()const; + BOOST_MATH_GPU_ENABLED RealType scale()const; Returns the /scale/ parameter of this distribution. @@ -85,6 +85,8 @@ Returns the /scale/ parameter of this distribution. All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions] that are generic to all distributions are supported: __usual_accessors. +For this distribution all non-member accessor functions are marked with `BOOST_MATH_GPU_ENABLED` and can +be run on both host and device. The domain of the random variable is \[0, [infin]\]. diff --git a/doc/math.qbk b/doc/math.qbk index d6b90efb0b..385c93a5e8 100644 --- a/doc/math.qbk +++ b/doc/math.qbk @@ -557,6 +557,7 @@ and as a CD ISBN 0-9504833-2-X 978-0-9504833-2-0, Classification 519.2-dc22. [include overview/standalone.qbk] [include overview/result_type_calc.qbk] [include overview/error_handling.qbk] +[include overview/gpu.qbk] [section:compilers_overview Compilers] [compilers_overview] diff --git a/doc/overview/gpu.qbk b/doc/overview/gpu.qbk new file mode 100644 index 0000000000..b97b059a60 --- /dev/null +++ b/doc/overview/gpu.qbk @@ -0,0 +1,66 @@ +[section:gpu Support for GPU programming in Boost.Math] + +[h4 GPU Support] + +Selected functions, distributions, tools, etc. support running on both host and devices. +These functions will have the annotation `BOOST_MATH_GPU_ENABLED` next to their individual documentation. +We test using CUDA (both NVCC and NVRTC) as well as SYCL to provide a wide range of support. + +[h4 Policies] + +The default policy on all devices is ignore error due to the lack of throwing ability. +A user can specify their own policy like usual, but when the code is run on device it will be ignored. + +[h4 How to build with device support] + +When compiling with CUDA or SYCL you will have to ensure that your code is being run inside of a kernel function. +It is not enough to simply compile existing code with the NVCC compiler to run the code on the device. +A simple CUDA kernel to run the Beta Distribution CDF on NVCC would be: + + __global__ void cuda_beta_dist(const double* in, double* out, int num_elements) + { + const int i = blockDim.x * blockIdx.x + threadIdx.x; + + if (i < num_elements) + { + out[i] = cdf(boost::math::beta_distribution(), in[i]); + } + } + +And on CUDA on NVRTC: + + const char* cuda_kernel = R"( + #include + extern "C" __global__ + void test_beta_dist_kernel(const double* in, double* out, int num_elements) + { + const int i = blockDim.x * blockIdx.x + threadIdx.x; + if (i < num_elements) + { + out[i] = boost::math::cdf(boost::math::beta_distribution(), in[i]); + } + } + )"; + +And lastly on SYCL: + + void sycl_beta_dist(const double* in, double* out, int num_elements, sycl::queue& q) + { + q.submit([&](sycl::handler& h) { + h.parallel_for(sycl::range<1>(num_elements), [=](sycl::id<1> i) { + out[i] = boost::math::cdf(boost::math::beta_distribution(), in[i]); + }); + }); + } + +Once your kernel function has been written then use the framework mechanism for launching the kernel. + +[endsect] [/section:gpu Support for GPU programming in Boost.Math] + +[/ + Copyright 2024. Matt Borland + Distributed under the Boost Software License, Version 1.0. + (See accompanying file LICENSE_1_0.txt or copy at + http://www.boost.org/LICENSE_1_0.txt). +] + diff --git a/doc/roots/roots.qbk b/doc/roots/roots.qbk index a229300690..ea347639b9 100644 --- a/doc/roots/roots.qbk +++ b/doc/roots/roots.qbk @@ -1,4 +1,4 @@ -[section:roots_deriv Root Finding With Derivatives: Newton-Raphson, Halley & Schr'''ö'''der] +[section:roots_deriv Root Finding With Derivatives: Newton-Raphson, Halley & Schroeder] [h4 Synopsis] @@ -10,10 +10,10 @@ namespace tools { // Note namespace boost::math::tools. // Newton-Raphson template - T newton_raphson_iterate(F f, T guess, T min, T max, int digits); + BOOST_MATH_GPU_ENABLED T newton_raphson_iterate(F f, T guess, T min, T max, int digits); template - T newton_raphson_iterate(F f, T guess, T min, T max, int digits, std::uintmax_t& max_iter); + BOOST_MATH_GPU_ENABLED T newton_raphson_iterate(F f, T guess, T min, T max, int digits, std::uintmax_t& max_iter); // Halley template @@ -22,7 +22,7 @@ template T halley_iterate(F f, T guess, T min, T max, int digits, std::uintmax_t& max_iter); - // Schr'''ö'''der + // Schroeder template T schroder_iterate(F f, T guess, T min, T max, int digits); @@ -61,7 +61,7 @@ For second-order iterative method ([@http://en.wikipedia.org/wiki/Newton_Raphson For the third-order methods ([@http://en.wikipedia.org/wiki/Halley%27s_method Halley] and -Schr'''ö'''der) +Schroeder) the `tuple` should have [*three] elements containing the evaluation of the function and its first and second derivatives.]] [[T guess] [The initial starting value. A good guess is crucial to quick convergence!]] @@ -147,7 +147,7 @@ Out of bounds steps revert to bisection of the current bounds. Under ideal conditions, the number of correct digits trebles with each iteration. -[h4:schroder Schr'''ö'''der's Method] +[h4:schroder Schroeder's Method] Given an initial guess x0 the subsequent values are computed using: @@ -162,8 +162,8 @@ Out of bounds steps revert to __bisection_wikipedia of the current bounds. Under ideal conditions, the number of correct digits trebles with each iteration. -This is Schr'''ö'''der's general result (equation 18 from [@http://drum.lib.umd.edu/handle/1903/577 Stewart, G. W. -"On Infinitely Many Algorithms for Solving Equations." English translation of Schr'''ö'''der's original paper. +This is Schroeder's general result (equation 18 from [@http://drum.lib.umd.edu/handle/1903/577 Stewart, G. W. +"On Infinitely Many Algorithms for Solving Equations." English translation of Schroeder's original paper. College Park, MD: University of Maryland, Institute for Advanced Computer Studies, Department of Computer Science, 1993].) This method guarantees at least quadratic convergence (the same as Newton's method), and is known to work well in the presence of multiple roots: diff --git a/doc/sf/bessel_ik.qbk b/doc/sf/bessel_ik.qbk index d044ac7b80..9fa4e63a74 100644 --- a/doc/sf/bessel_ik.qbk +++ b/doc/sf/bessel_ik.qbk @@ -5,16 +5,16 @@ `#include ` template - ``__sf_result`` cyl_bessel_i(T1 v, T2 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` cyl_bessel_i(T1 v, T2 x); template - ``__sf_result`` cyl_bessel_i(T1 v, T2 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` cyl_bessel_i(T1 v, T2 x, const ``__Policy``&); template - ``__sf_result`` cyl_bessel_k(T1 v, T2 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` cyl_bessel_k(T1 v, T2 x); template - ``__sf_result`` cyl_bessel_k(T1 v, T2 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` cyl_bessel_k(T1 v, T2 x, const ``__Policy``&); [h4 Description] diff --git a/doc/sf/bessel_jy.qbk b/doc/sf/bessel_jy.qbk index 1f43bc7580..faf8788500 100644 --- a/doc/sf/bessel_jy.qbk +++ b/doc/sf/bessel_jy.qbk @@ -5,16 +5,16 @@ `#include ` template - ``__sf_result`` cyl_bessel_j(T1 v, T2 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` cyl_bessel_j(T1 v, T2 x); template - ``__sf_result`` cyl_bessel_j(T1 v, T2 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` cyl_bessel_j(T1 v, T2 x, const ``__Policy``&); template - ``__sf_result`` cyl_neumann(T1 v, T2 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` cyl_neumann(T1 v, T2 x); template - ``__sf_result`` cyl_neumann(T1 v, T2 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` cyl_neumann(T1 v, T2 x, const ``__Policy``&); [h4 Description] diff --git a/doc/sf/bessel_spherical.qbk b/doc/sf/bessel_spherical.qbk index e9cda89c70..eb1fa69154 100644 --- a/doc/sf/bessel_spherical.qbk +++ b/doc/sf/bessel_spherical.qbk @@ -5,16 +5,16 @@ `#include ` template - ``__sf_result`` sph_bessel(unsigned v, T2 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` sph_bessel(unsigned v, T2 x); template - ``__sf_result`` sph_bessel(unsigned v, T2 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` sph_bessel(unsigned v, T2 x, const ``__Policy``&); template - ``__sf_result`` sph_neumann(unsigned v, T2 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` sph_neumann(unsigned v, T2 x); template - ``__sf_result`` sph_neumann(unsigned v, T2 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` sph_neumann(unsigned v, T2 x, const ``__Policy``&); [h4 Description] diff --git a/doc/sf/beta.qbk b/doc/sf/beta.qbk index e332fa5030..7e1904c254 100644 --- a/doc/sf/beta.qbk +++ b/doc/sf/beta.qbk @@ -9,10 +9,10 @@ namespace boost{ namespace math{ template - ``__sf_result`` beta(T1 a, T2 b); + BOOST_MATH_GPU_ENABLED ``__sf_result`` beta(T1 a, T2 b); template - ``__sf_result`` beta(T1 a, T2 b, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` beta(T1 a, T2 b, const ``__Policy``&); }} // namespaces diff --git a/doc/sf/beta_derivative.qbk b/doc/sf/beta_derivative.qbk index 8606d6f2b3..5d3b9a13ef 100644 --- a/doc/sf/beta_derivative.qbk +++ b/doc/sf/beta_derivative.qbk @@ -9,10 +9,10 @@ namespace boost{ namespace math{ template - ``__sf_result`` ibeta_derivative(T1 a, T2 b, T3 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta_derivative(T1 a, T2 b, T3 x); template - ``__sf_result`` ibeta_derivative(T1 a, T2 b, T3 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta_derivative(T1 a, T2 b, T3 x, const ``__Policy``&); }} // namespaces diff --git a/doc/sf/digamma.qbk b/doc/sf/digamma.qbk index c88c5fe7b0..78b68403d8 100644 --- a/doc/sf/digamma.qbk +++ b/doc/sf/digamma.qbk @@ -9,10 +9,10 @@ namespace boost{ namespace math{ template - ``__sf_result`` digamma(T z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` digamma(T z); template - ``__sf_result`` digamma(T z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` digamma(T z, const ``__Policy``&); }} // namespaces diff --git a/doc/sf/erf.qbk b/doc/sf/erf.qbk index 3207b66c07..5f6bdf9fa5 100644 --- a/doc/sf/erf.qbk +++ b/doc/sf/erf.qbk @@ -9,16 +9,16 @@ namespace boost{ namespace math{ template - ``__sf_result`` erf(T z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erf(T z); template - ``__sf_result`` erf(T z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erf(T z, const ``__Policy``&); template - ``__sf_result`` erfc(T z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erfc(T z); template - ``__sf_result`` erfc(T z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erfc(T z, const ``__Policy``&); }} // namespaces @@ -30,10 +30,10 @@ the return type is `double` if T is an integer type, and T otherwise. [h4 Description] template - ``__sf_result`` erf(T z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erf(T z); template - ``__sf_result`` erf(T z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erf(T z, const ``__Policy``&); Returns the [@http://en.wikipedia.org/wiki/Error_function error function] [@http://functions.wolfram.com/GammaBetaErf/Erf/ erf] of z: @@ -43,10 +43,10 @@ Returns the [@http://en.wikipedia.org/wiki/Error_function error function] [graph erf] template - ``__sf_result`` erfc(T z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erfc(T z); template - ``__sf_result`` erfc(T z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erfc(T z, const ``__Policy``&); Returns the complement of the [@http://functions.wolfram.com/GammaBetaErf/Erfc/ error function] of z: diff --git a/doc/sf/erf_inv.qbk b/doc/sf/erf_inv.qbk index 729ec22d28..e8f7464e09 100644 --- a/doc/sf/erf_inv.qbk +++ b/doc/sf/erf_inv.qbk @@ -9,16 +9,16 @@ namespace boost{ namespace math{ template - ``__sf_result`` erf_inv(T p); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erf_inv(T p); template - ``__sf_result`` erf_inv(T p, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erf_inv(T p, const ``__Policy``&); template - ``__sf_result`` erfc_inv(T p); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erfc_inv(T p); template - ``__sf_result`` erfc_inv(T p, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erfc_inv(T p, const ``__Policy``&); }} // namespaces @@ -30,10 +30,10 @@ the return type is `double` if T is an integer type, and T otherwise. [h4 Description] template - ``__sf_result`` erf_inv(T z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erf_inv(T z); template - ``__sf_result`` erf_inv(T z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erf_inv(T z, const ``__Policy``&); Returns the [@http://functions.wolfram.com/GammaBetaErf/InverseErf/ inverse error function] of z, that is a value x such that: @@ -43,10 +43,10 @@ of z, that is a value x such that: [graph erf_inv] template - ``__sf_result`` erfc_inv(T z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erfc_inv(T z); template - ``__sf_result`` erfc_inv(T z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` erfc_inv(T z, const ``__Policy``&); Returns the inverse of the complement of the error function of z, that is a value x such that: diff --git a/doc/sf/gamma_derivatives.qbk b/doc/sf/gamma_derivatives.qbk index c7dd248799..1b578d8d98 100644 --- a/doc/sf/gamma_derivatives.qbk +++ b/doc/sf/gamma_derivatives.qbk @@ -9,10 +9,10 @@ namespace boost{ namespace math{ template - ``__sf_result`` gamma_p_derivative(T1 a, T2 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_p_derivative(T1 a, T2 x); template - ``__sf_result`` gamma_p_derivative(T1 a, T2 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_p_derivative(T1 a, T2 x, const ``__Policy``&); }} // namespaces diff --git a/doc/sf/gamma_ratios.qbk b/doc/sf/gamma_ratios.qbk index a3fcf864cb..0d076890d3 100644 --- a/doc/sf/gamma_ratios.qbk +++ b/doc/sf/gamma_ratios.qbk @@ -7,26 +7,26 @@ namespace boost{ namespace math{ template - ``__sf_result`` tgamma_ratio(T1 a, T2 b); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma_ratio(T1 a, T2 b); template - ``__sf_result`` tgamma_ratio(T1 a, T2 b, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma_ratio(T1 a, T2 b, const ``__Policy``&); template - ``__sf_result`` tgamma_delta_ratio(T1 a, T2 delta); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma_delta_ratio(T1 a, T2 delta); template - ``__sf_result`` tgamma_delta_ratio(T1 a, T2 delta, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma_delta_ratio(T1 a, T2 delta, const ``__Policy``&); }} // namespaces [h4 Description] template - ``__sf_result`` tgamma_ratio(T1 a, T2 b); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma_ratio(T1 a, T2 b); template - ``__sf_result`` tgamma_ratio(T1 a, T2 b, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma_ratio(T1 a, T2 b, const ``__Policy``&); Returns the ratio of gamma functions: @@ -37,10 +37,10 @@ Returns the ratio of gamma functions: Internally this just calls `tgamma_delta_ratio(a, b-a)`. template - ``__sf_result`` tgamma_delta_ratio(T1 a, T2 delta); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma_delta_ratio(T1 a, T2 delta); template - ``__sf_result`` tgamma_delta_ratio(T1 a, T2 delta, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma_delta_ratio(T1 a, T2 delta, const ``__Policy``&); Returns the ratio of gamma functions: diff --git a/doc/sf/ibeta.qbk b/doc/sf/ibeta.qbk index b4a20f9286..5227b2d342 100644 --- a/doc/sf/ibeta.qbk +++ b/doc/sf/ibeta.qbk @@ -9,28 +9,28 @@ namespace boost{ namespace math{ template - ``__sf_result`` ibeta(T1 a, T2 b, T3 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta(T1 a, T2 b, T3 x); template - ``__sf_result`` ibeta(T1 a, T2 b, T3 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta(T1 a, T2 b, T3 x, const ``__Policy``&); template - ``__sf_result`` ibetac(T1 a, T2 b, T3 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac(T1 a, T2 b, T3 x); template - ``__sf_result`` ibetac(T1 a, T2 b, T3 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac(T1 a, T2 b, T3 x, const ``__Policy``&); template - ``__sf_result`` beta(T1 a, T2 b, T3 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` beta(T1 a, T2 b, T3 x); template - ``__sf_result`` beta(T1 a, T2 b, T3 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` beta(T1 a, T2 b, T3 x, const ``__Policy``&); template - ``__sf_result`` betac(T1 a, T2 b, T3 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` betac(T1 a, T2 b, T3 x); template - ``__sf_result`` betac(T1 a, T2 b, T3 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` betac(T1 a, T2 b, T3 x, const ``__Policy``&); }} // namespaces @@ -57,10 +57,10 @@ when T1, T2 and T3 are different types. [optional_policy] template - ``__sf_result`` ibeta(T1 a, T2 b, T3 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta(T1 a, T2 b, T3 x); template - ``__sf_result`` ibeta(T1 a, T2 b, T3 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta(T1 a, T2 b, T3 x, const ``__Policy``&); Returns the normalised incomplete beta function of a, b and x: @@ -69,30 +69,30 @@ Returns the normalised incomplete beta function of a, b and x: [graph ibeta] template - ``__sf_result`` ibetac(T1 a, T2 b, T3 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac(T1 a, T2 b, T3 x); template - ``__sf_result`` ibetac(T1 a, T2 b, T3 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac(T1 a, T2 b, T3 x, const ``__Policy``&); Returns the normalised complement of the incomplete beta function of a, b and x: [equation ibeta4] template - ``__sf_result`` beta(T1 a, T2 b, T3 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` beta(T1 a, T2 b, T3 x); template - ``__sf_result`` beta(T1 a, T2 b, T3 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` beta(T1 a, T2 b, T3 x, const ``__Policy``&); Returns the full (non-normalised) incomplete beta function of a, b and x: [equation ibeta1] template - ``__sf_result`` betac(T1 a, T2 b, T3 x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` betac(T1 a, T2 b, T3 x); template - ``__sf_result`` betac(T1 a, T2 b, T3 x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` betac(T1 a, T2 b, T3 x, const ``__Policy``&); Returns the full (non-normalised) complement of the incomplete beta function of a, b and x: diff --git a/doc/sf/ibeta_inv.qbk b/doc/sf/ibeta_inv.qbk index 83c2b00086..60049db465 100644 --- a/doc/sf/ibeta_inv.qbk +++ b/doc/sf/ibeta_inv.qbk @@ -7,52 +7,52 @@ namespace boost{ namespace math{ template - ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p); template - ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p, const ``__Policy``&); template - ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p, T4* py); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p, T4* py); template - ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p, T4* py, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p, T4* py, const ``__Policy``&); template - ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q); template - ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q, const ``__Policy``&); template - ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q, T4* py); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q, T4* py); template - ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q, T4* py, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q, T4* py, const ``__Policy``&); template - ``__sf_result`` ibeta_inva(T1 b, T2 x, T3 p); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta_inva(T1 b, T2 x, T3 p); template - ``__sf_result`` ibeta_inva(T1 b, T2 x, T3 p, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta_inva(T1 b, T2 x, T3 p, const ``__Policy``&); template - ``__sf_result`` ibetac_inva(T1 b, T2 x, T3 q); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac_inva(T1 b, T2 x, T3 q); template - ``__sf_result`` ibetac_inva(T1 b, T2 x, T3 q, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac_inva(T1 b, T2 x, T3 q, const ``__Policy``&); template - ``__sf_result`` ibeta_invb(T1 a, T2 x, T3 p); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta_invb(T1 a, T2 x, T3 p); template - ``__sf_result`` ibeta_invb(T1 a, T2 x, T3 p, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta_invb(T1 a, T2 x, T3 p, const ``__Policy``&); template - ``__sf_result`` ibetac_invb(T1 a, T2 x, T3 q); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac_invb(T1 a, T2 x, T3 q); template - ``__sf_result`` ibetac_invb(T1 a, T2 x, T3 q, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac_invb(T1 a, T2 x, T3 q, const ``__Policy``&); }} // namespaces @@ -81,16 +81,16 @@ The return type of these functions is computed using the __arg_promotion_rules when called with arguments T1...TN of different types. template - ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p); template - ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p, const ``__Policy``&); template - ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p, T4* py); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p, T4* py); template - ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p, T4* py, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibeta_inv(T1 a, T2 b, T3 p, T4* py, const ``__Policy``&); Returns a value /x/ such that: `p = ibeta(a, b, x);` and sets `*py = 1 - x` when the `py` parameter is provided and is non-null. @@ -104,16 +104,16 @@ Requires: /a,b > 0/ and /0 <= p <= 1/. [optional_policy] template - ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q); + BOOST_MATH_GPU_ENABLED``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q); template - ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q, const ``__Policy``&); template - ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q, T4* py); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q, T4* py); template - ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q, T4* py, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac_inv(T1 a, T2 b, T3 q, T4* py, const ``__Policy``&); Returns a value /x/ such that: `q = ibetac(a, b, x);` and sets `*py = 1 - x` when the `py` parameter is provided and is non-null. @@ -127,10 +127,10 @@ Requires: /a,b > 0/ and /0 <= q <= 1/. [optional_policy] template - ``__sf_result`` ibeta_inva(T1 b, T2 x, T3 p); + BOOST_MATH_GPU_ENABLED``__sf_result`` ibeta_inva(T1 b, T2 x, T3 p); template - ``__sf_result`` ibeta_inva(T1 b, T2 x, T3 p, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED``__sf_result`` ibeta_inva(T1 b, T2 x, T3 p, const ``__Policy``&); Returns a value /a/ such that: `p = ibeta(a, b, x);` @@ -139,10 +139,10 @@ Requires: /b > 0/, /0 < x < 1/ and /0 <= p <= 1/. [optional_policy] template - ``__sf_result`` ibetac_inva(T1 b, T2 x, T3 p); + BOOST_MATH_GPU_ENABLED``__sf_result`` ibetac_inva(T1 b, T2 x, T3 p); template - ``__sf_result`` ibetac_inva(T1 b, T2 x, T3 p, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED``__sf_result`` ibetac_inva(T1 b, T2 x, T3 p, const ``__Policy``&); Returns a value /a/ such that: `q = ibetac(a, b, x);` @@ -151,10 +151,10 @@ Requires: /b > 0/, /0 < x < 1/ and /0 <= q <= 1/. [optional_policy] template - ``__sf_result`` ibeta_invb(T1 b, T2 x, T3 p); + BOOST_MATH_GPU_ENABLED``__sf_result`` ibeta_invb(T1 b, T2 x, T3 p); template - ``__sf_result`` ibeta_invb(T1 b, T2 x, T3 p, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED``__sf_result`` ibeta_invb(T1 b, T2 x, T3 p, const ``__Policy``&); Returns a value /b/ such that: `p = ibeta(a, b, x);` @@ -163,10 +163,10 @@ Requires: /a > 0/, /0 < x < 1/ and /0 <= p <= 1/. [optional_policy] template - ``__sf_result`` ibetac_invb(T1 b, T2 x, T3 p); + BOOST_MATH_GPU_ENABLED``__sf_result`` ibetac_invb(T1 b, T2 x, T3 p); template - ``__sf_result`` ibetac_invb(T1 b, T2 x, T3 p, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` ibetac_invb(T1 b, T2 x, T3 p, const ``__Policy``&); Returns a value /b/ such that: `q = ibetac(a, b, x);` diff --git a/doc/sf/igamma.qbk b/doc/sf/igamma.qbk index ca354ad10f..4675928e63 100644 --- a/doc/sf/igamma.qbk +++ b/doc/sf/igamma.qbk @@ -9,28 +9,28 @@ namespace boost{ namespace math{ template - ``__sf_result`` gamma_p(T1 a, T2 z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_p(T1 a, T2 z); template - ``__sf_result`` gamma_p(T1 a, T2 z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_p(T1 a, T2 z, const ``__Policy``&); template - ``__sf_result`` gamma_q(T1 a, T2 z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_q(T1 a, T2 z); template - ``__sf_result`` gamma_q(T1 a, T2 z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_q(T1 a, T2 z, const ``__Policy``&); template - ``__sf_result`` tgamma_lower(T1 a, T2 z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma_lower(T1 a, T2 z); template - ``__sf_result`` tgamma_lower(T1 a, T2 z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma_lower(T1 a, T2 z, const ``__Policy``&); template - ``__sf_result`` tgamma(T1 a, T2 z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma(T1 a, T2 z); template - ``__sf_result`` tgamma(T1 a, T2 z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma(T1 a, T2 z, const ``__Policy``&); }} // namespaces @@ -53,10 +53,10 @@ The return type of these functions is computed using the __arg_promotion_rules when T1 and T2 are different types, otherwise the return type is simply T1. template - ``__sf_result`` gamma_p(T1 a, T2 z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_p(T1 a, T2 z); template - ``__sf_result`` gamma_p(T1 a, T2 z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_p(T1 a, T2 z, const ``__Policy``&); Returns the normalised lower incomplete gamma function of a and z: @@ -67,10 +67,10 @@ This function changes rapidly from 0 to 1 around the point z == a: [graph gamma_p] template - ``__sf_result`` gamma_q(T1 a, T2 z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_q(T1 a, T2 z); template - ``__sf_result`` gamma_q(T1 a, T2 z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_q(T1 a, T2 z, const ``__Policy``&); Returns the normalised upper incomplete gamma function of a and z: @@ -81,20 +81,20 @@ This function changes rapidly from 1 to 0 around the point z == a: [graph gamma_q] template - ``__sf_result`` tgamma_lower(T1 a, T2 z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma_lower(T1 a, T2 z); template - ``__sf_result`` tgamma_lower(T1 a, T2 z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma_lower(T1 a, T2 z, const ``__Policy``&); Returns the full (non-normalised) lower incomplete gamma function of a and z: [equation igamma2] template - ``__sf_result`` tgamma(T1 a, T2 z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma(T1 a, T2 z); template - ``__sf_result`` tgamma(T1 a, T2 z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma(T1 a, T2 z, const ``__Policy``&); Returns the full (non-normalised) upper incomplete gamma function of a and z: diff --git a/doc/sf/igamma_inv.qbk b/doc/sf/igamma_inv.qbk index 593c92141b..55fe76e6e8 100644 --- a/doc/sf/igamma_inv.qbk +++ b/doc/sf/igamma_inv.qbk @@ -9,28 +9,28 @@ namespace boost{ namespace math{ template - ``__sf_result`` gamma_q_inv(T1 a, T2 q); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_q_inv(T1 a, T2 q); template - ``__sf_result`` gamma_q_inv(T1 a, T2 q, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_q_inv(T1 a, T2 q, const ``__Policy``&); template - ``__sf_result`` gamma_p_inv(T1 a, T2 p); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_p_inv(T1 a, T2 p); template - ``__sf_result`` gamma_p_inv(T1 a, T2 p, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_p_inv(T1 a, T2 p, const ``__Policy``&); template - ``__sf_result`` gamma_q_inva(T1 x, T2 q); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_q_inva(T1 x, T2 q); template - ``__sf_result`` gamma_q_inva(T1 x, T2 q, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_q_inva(T1 x, T2 q, const ``__Policy``&); template - ``__sf_result`` gamma_p_inva(T1 x, T2 p); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_p_inva(T1 x, T2 p); template - ``__sf_result`` gamma_p_inva(T1 x, T2 p, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_p_inva(T1 x, T2 p, const ``__Policy``&); }} // namespaces @@ -58,40 +58,40 @@ These are implemented here as `gamma_p_inva` and `gamma_q_inva`.] template - ``__sf_result`` gamma_q_inv(T1 a, T2 q); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_q_inv(T1 a, T2 q); template - ``__sf_result`` gamma_q_inv(T1 a, T2 q, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_q_inv(T1 a, T2 q, const ``__Policy``&); Returns a value x such that: `q = gamma_q(a, x);` Requires: /a > 0/ and /1 >= p,q >= 0/. template - ``__sf_result`` gamma_p_inv(T1 a, T2 p); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_p_inv(T1 a, T2 p); template - ``__sf_result`` gamma_p_inv(T1 a, T2 p, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_p_inv(T1 a, T2 p, const ``__Policy``&); Returns a value x such that: `p = gamma_p(a, x);` Requires: /a > 0/ and /1 >= p,q >= 0/. template - ``__sf_result`` gamma_q_inva(T1 x, T2 q); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_q_inva(T1 x, T2 q); template - ``__sf_result`` gamma_q_inva(T1 x, T2 q, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_q_inva(T1 x, T2 q, const ``__Policy``&); Returns a value a such that: `q = gamma_q(a, x);` Requires: /x > 0/ and /1 >= p,q >= 0/. template - ``__sf_result`` gamma_p_inva(T1 x, T2 p); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_p_inva(T1 x, T2 p); template - ``__sf_result`` gamma_p_inva(T1 x, T2 p, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` gamma_p_inva(T1 x, T2 p, const ``__Policy``&); Returns a value a such that: `p = gamma_p(a, x);` diff --git a/doc/sf/lgamma.qbk b/doc/sf/lgamma.qbk index 5ea1a4e091..544485c7ca 100644 --- a/doc/sf/lgamma.qbk +++ b/doc/sf/lgamma.qbk @@ -9,16 +9,16 @@ namespace boost{ namespace math{ template - ``__sf_result`` lgamma(T z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` lgamma(T z); template - ``__sf_result`` lgamma(T z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` lgamma(T z, const ``__Policy``&); template - ``__sf_result`` lgamma(T z, int* sign); + BOOST_MATH_GPU_ENABLED ``__sf_result`` lgamma(T z, int* sign); template - ``__sf_result`` lgamma(T z, int* sign, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` lgamma(T z, int* sign, const ``__Policy``&); }} // namespaces diff --git a/doc/sf/pow.qbk b/doc/sf/pow.qbk index db021978e2..ecb762d711 100644 --- a/doc/sf/pow.qbk +++ b/doc/sf/pow.qbk @@ -10,10 +10,10 @@ power of a run-time base. namespace boost { namespace math { template - constexpr ``__sf_result`` pow(T base); + BOOST_MATH_GPU_ENABLED constexpr ``__sf_result`` pow(T base); template - constexpr ``__sf_result`` pow(T base, const Policy& policy); + BOOST_MATH_GPU_ENABLED constexpr ``__sf_result`` pow(T base, const Policy& policy); }} diff --git a/doc/sf/sinc.qbk b/doc/sf/sinc.qbk index b345c08cd7..a6042a7171 100644 --- a/doc/sf/sinc.qbk +++ b/doc/sf/sinc.qbk @@ -43,16 +43,16 @@ and [@http://mathworld.wolfram.com/Octonion.html octonions]. `` template - ``__sf_result`` sinc_pi(const T x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` sinc_pi(const T x); template - ``__sf_result`` sinc_pi(const T x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` sinc_pi(const T x, const ``__Policy``&); template class U> - U sinc_pi(const U x); + BOOST_MATH_GPU_ENABLED U sinc_pi(const U x); template class U, class ``__Policy``> - U sinc_pi(const U x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED U sinc_pi(const U x, const ``__Policy``&); Computes [link math_toolkit.sinc.sinc_overview @@ -78,10 +78,10 @@ to ensure accuracy. `` template - ``__sf_result`` sinhc_pi(const T x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` sinhc_pi(const T x); template - ``__sf_result`` sinhc_pi(const T x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` sinhc_pi(const T x, const ``__Policy``&); template class U> U sinhc_pi(const U x); diff --git a/doc/sf/tgamma.qbk b/doc/sf/tgamma.qbk index 7eb535ec3a..23baad2cb8 100644 --- a/doc/sf/tgamma.qbk +++ b/doc/sf/tgamma.qbk @@ -9,26 +9,26 @@ namespace boost{ namespace math{ template - ``__sf_result`` tgamma(T z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma(T z); template - ``__sf_result`` tgamma(T z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma(T z, const ``__Policy``&); template - ``__sf_result`` tgamma1pm1(T dz); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma1pm1(T dz); template - ``__sf_result`` tgamma1pm1(T dz, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma1pm1(T dz, const ``__Policy``&); }} // namespaces [h4 Description] template - ``__sf_result`` tgamma(T z); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma(T z); template - ``__sf_result`` tgamma(T z, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma(T z, const ``__Policy``&); Returns the "true gamma" (hence name tgamma) of value z: @@ -42,10 +42,10 @@ The return type of this function is computed using the __arg_promotion_rules: the result is `double` when T is an integer type, and T otherwise. template - ``__sf_result`` tgamma1pm1(T dz); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma1pm1(T dz); template - ``__sf_result`` tgamma1pm1(T dz, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` tgamma1pm1(T dz, const ``__Policy``&); Returns `tgamma(dz + 1) - 1`. Internally the implementation does not make use of the addition and subtraction implied by the definition, leading to diff --git a/doc/sf/trigamma.qbk b/doc/sf/trigamma.qbk index 137a148d83..a358c85713 100644 --- a/doc/sf/trigamma.qbk +++ b/doc/sf/trigamma.qbk @@ -9,10 +9,10 @@ namespace boost{ namespace math{ template - ``__sf_result`` trigamma(T x); + BOOST_MATH_GPU_ENABLED ``__sf_result`` trigamma(T x); template - ``__sf_result`` trigamma(T x, const ``__Policy``&); + BOOST_MATH_GPU_ENABLED ``__sf_result`` trigamma(T x, const ``__Policy``&); }} // namespaces