Created the API and stubs for the HAD (hadamard-product) routines

pull/246/head
Cedric Nugteren 2018-01-31 20:41:02 +01:00
parent 37c5e8f58c
commit ef5008f5e4
18 changed files with 831 additions and 9 deletions

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@ -202,7 +202,7 @@ set(LEVEL1_ROUTINES xswap xscal xcopy xaxpy xdot xdotu xdotc xnrm2 xasum xamax)
set(LEVEL2_ROUTINES xgemv xgbmv xhemv xhbmv xhpmv xsymv xsbmv xspmv xtrmv xtbmv xtpmv xtrsv
xger xgeru xgerc xher xhpr xher2 xhpr2 xsyr xspr xsyr2 xspr2)
set(LEVEL3_ROUTINES xgemm xsymm xhemm xsyrk xherk xsyr2k xher2k xtrmm xtrsm)
set(LEVELX_ROUTINES xomatcopy xim2col xaxpybatched xgemmbatched xgemmstridedbatched)
set(LEVELX_ROUTINES xhad xomatcopy xim2col xaxpybatched xgemmbatched xgemmstridedbatched)
set(ROUTINES ${LEVEL1_ROUTINES} ${LEVEL2_ROUTINES} ${LEVEL3_ROUTINES} ${LEVELX_ROUTINES})
set(PRECISIONS 32 64 3232 6464 16)

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@ -2884,6 +2884,81 @@ Arguments to TRSM:
xHAD: Element-wise vector product (Hadamard)
-------------
Performs the Hadamard element-wise product _z = alpha * x * y + beta * z_, in which _x_, _y_, and _z_z are vectors and _alpha_ and _beta_ are scalar constants.
C++ API:
```
template <typename T>
StatusCode Had(const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const T beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event)
```
C API:
```
CLBlastStatusCode CLBlastShad(const size_t n,
const float alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const float beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event)
CLBlastStatusCode CLBlastDhad(const size_t n,
const double alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const double beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event)
CLBlastStatusCode CLBlastChad(const size_t n,
const cl_float2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const cl_float2 beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event)
CLBlastStatusCode CLBlastZhad(const size_t n,
const cl_double2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const cl_double2 beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event)
CLBlastStatusCode CLBlastHhad(const size_t n,
const cl_half alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const cl_half beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event)
```
Arguments to HAD:
* `const size_t n`: Integer size argument. This value must be positive.
* `const T alpha`: Input scalar constant.
* `const cl_mem x_buffer`: OpenCL buffer to store the input x vector.
* `const size_t x_offset`: The offset in elements from the start of the input x vector.
* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0.
* `const cl_mem y_buffer`: OpenCL buffer to store the input y vector.
* `const size_t y_offset`: The offset in elements from the start of the input y vector.
* `const size_t y_inc`: Stride/increment of the input y vector. This value must be greater than 0.
* `const T beta`: Input scalar constant.
* `cl_mem z_buffer`: OpenCL buffer to store the output z vector.
* `const size_t z_offset`: The offset in elements from the start of the output z vector.
* `const size_t z_inc`: Stride/increment of the output z vector. This value must be greater than 0.
* `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.
* `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xOMATCOPY: Scaling and out-place transpose/copy (non-BLAS function)
-------------

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@ -610,6 +610,16 @@ StatusCode Trsm(const Layout layout, const Side side, const Triangle triangle, c
// Extra non-BLAS routines (level-X)
// =================================================================================================
// Element-wise vector product (Hadamard): SHAD/DHAD/CHAD/ZHAD/HHAD
template <typename T>
StatusCode Had(const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const T beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event = nullptr);
// Scaling and out-place transpose/copy (non-BLAS function): SOMATCOPY/DOMATCOPY/COMATCOPY/ZOMATCOPY/HOMATCOPY
template <typename T>
StatusCode Omatcopy(const Layout layout, const Transpose a_transpose,

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@ -1318,6 +1318,43 @@ CLBlastStatusCode PUBLIC_API CLBlastZtrsm(const CLBlastLayout layout, const CLBl
// Extra non-BLAS routines (level-X)
// =================================================================================================
// Element-wise vector product (Hadamard): SHAD/DHAD/CHAD/ZHAD/HHAD
CLBlastStatusCode PUBLIC_API CLBlastShad(const size_t n,
const float alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const float beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event);
CLBlastStatusCode PUBLIC_API CLBlastDhad(const size_t n,
const double alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const double beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event);
CLBlastStatusCode PUBLIC_API CLBlastChad(const size_t n,
const cl_float2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const cl_float2 beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event);
CLBlastStatusCode PUBLIC_API CLBlastZhad(const size_t n,
const cl_double2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const cl_double2 beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event);
CLBlastStatusCode PUBLIC_API CLBlastHhad(const size_t n,
const cl_half alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const cl_half beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event);
// Scaling and out-place transpose/copy (non-BLAS function): SOMATCOPY/DOMATCOPY/COMATCOPY/ZOMATCOPY/HOMATCOPY
CLBlastStatusCode PUBLIC_API CLBlastSomatcopy(const CLBlastLayout layout, const CLBlastTranspose a_transpose,
const size_t m, const size_t n,

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@ -582,6 +582,16 @@ StatusCode Trsm(const Layout layout, const Side side, const Triangle triangle, c
// Extra non-BLAS routines (level-X)
// =================================================================================================
// Element-wise vector product (Hadamard): SHAD/DHAD/CHAD/ZHAD/HHAD
template <typename T>
StatusCode Had(const size_t n,
const T alpha,
const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
const CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
const T beta,
CUdeviceptr z_buffer, const size_t z_offset, const size_t z_inc,
const CUcontext context, const CUdevice device);
// Scaling and out-place transpose/copy (non-BLAS function): SOMATCOPY/DOMATCOPY/COMATCOPY/ZOMATCOPY/HOMATCOPY
template <typename T>
StatusCode Omatcopy(const Layout layout, const Transpose a_transpose,

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@ -898,6 +898,32 @@ void PUBLIC_API cblas_ztrsm(const CLBlastLayout layout, const CLBlastSide side,
// Extra non-BLAS routines (level-X)
// =================================================================================================
// Element-wise vector product (Hadamard): SHAD/DHAD/CHAD/ZHAD/HHAD
void PUBLIC_API cblas_shad(const int n,
const float alpha,
const float* x, const int x_inc,
const float* y, const int y_inc,
const float beta,
float* z, const int z_inc);
void PUBLIC_API cblas_dhad(const int n,
const double alpha,
const double* x, const int x_inc,
const double* y, const int y_inc,
const double beta,
double* z, const int z_inc);
void PUBLIC_API cblas_chad(const int n,
const void* alpha,
const void* x, const int x_inc,
const void* y, const int y_inc,
const void* beta,
void* z, const int z_inc);
void PUBLIC_API cblas_zhad(const int n,
const void* alpha,
const void* x, const int x_inc,
const void* y, const int y_inc,
const void* beta,
void* z, const int z_inc);
// Scaling and out-place transpose/copy (non-BLAS function): SOMATCOPY/DOMATCOPY/COMATCOPY/ZOMATCOPY/HOMATCOPY
void PUBLIC_API cblas_somatcopy(const CLBlastLayout layout, const CLBlastTranspose a_transpose,
const int m, const int n,

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@ -83,6 +83,7 @@ xn = "n * x_inc"
xm = "m * x_inc"
yn = "n * y_inc"
ym = "m * y_inc"
zn = "n * z_inc"
an = "n * a_ld"
apn = "((n*(n+1)) / 2)"
cn = "n * c_ld"
@ -169,6 +170,7 @@ ROUTINES = [
],
[ # Level X: extra routines (not part of BLAS)
# Special routines:
Routine(True, True, 0, False, "x", "had", T, [S,D,C,Z,H], ["n"], [], ["x","y"], ["z"], [xn,yn,zn], ["alpha","beta"], "", "Element-wise vector product (Hadamard)", "Performs the Hadamard element-wise product _z = alpha * x * y + beta * z_, in which _x_, _y_, and _z_z are vectors and _alpha_ and _beta_ are scalar constants.", []),
Routine(True, True, 0, False, "x", "omatcopy", T, [S,D,C,Z,H], ["m","n"], ["layout","a_transpose"], ["a"], ["b"], [amn,bnma], ["alpha"], "", "Scaling and out-place transpose/copy (non-BLAS function)", "Performs scaling and out-of-place transposition/copying of matrices according to _B = alpha*op(A)_, in which _A_ is an input matrix (_m_ rows by _n_ columns), _B_ an output matrix, and _alpha_ a scalar value. The operation _op_ can be a normal matrix copy, a transposition or a conjugate transposition.", [ald_m, bld_n]),
Routine(True, True, 0, False, "x", "im2col", T, [S,D,C,Z,H], im2col_constants, [], ["im"], ["col"], [im,col], [""], "", "Im2col function (non-BLAS function)", "Performs the im2col algorithm, in which _im_ is the input matrix and _col_ is the output matrix.", []),
# Batched routines:

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@ -129,12 +129,12 @@ class Routine:
@staticmethod
def postfix(name):
"""Retrieves the postfix for a buffer"""
return "inc" if (name in ["x", "y"]) else "ld"
return "inc" if (name in ["x", "y", "z"]) else "ld"
@staticmethod
def buffers_vector():
"""Distinguish between vectors and matrices"""
return ["x", "y"]
return ["x", "y", "z"]
@staticmethod
def buffers_matrix():
@ -219,13 +219,13 @@ class Routine:
def buffers_first(self):
"""Determines which buffers go first (between alpha and beta) and which ones go after"""
if self.level == "2b":
if self.level == "2b" or self.name == "had":
return ["x", "y"]
return ["ap", "a", "b", "x", "im"]
def buffers_second(self):
if self.level == "2b":
return ["ap", "a", "b", "c"]
if self.level == "2b" or self.name == "had":
return ["z", "ap", "a", "b", "c"]
return ["y", "c", "col"]
def buffer(self, name):
@ -330,7 +330,7 @@ class Routine:
a = [name + "_buffer()"]
b = [name + "_offset"]
c = []
if name in ["x", "y"]:
if name in ["x", "y", "z"]:
c = ["static_cast<int>(" + name + "_" + self.postfix(name) + ")"]
elif name in ["a", "b", "c"]:
c = [name + "_" + self.postfix(name)]
@ -349,7 +349,7 @@ class Routine:
else:
a = ["&" + name + "_buffer[" + name + "_offset]"]
c = []
if name in ["x", "y", "a", "b", "c"]:
if name in ["x", "y", "z", "a", "b", "c"]:
c = ["static_cast<int>(" + name + "_" + self.postfix(name) + ")"]
return [", ".join(a + c)]
return []
@ -370,7 +370,7 @@ class Routine:
else:
a = ["&" + name + "_buffer[" + name + "_offset]"]
c = []
if name in ["x", "y"]:
if name in ["x", "y", "z"]:
c = ["static_cast<int>(" + name + "_" + self.postfix(name) + ")"]
elif name in ["a", "b", "c"]:
c = [name + "_" + self.postfix(name)]

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@ -2109,6 +2109,63 @@ template StatusCode PUBLIC_API Trsm<double2>(const Layout, const Side, const Tri
// Extra non-BLAS routines (level-X)
// =================================================================================================
// Element-wise vector product (Hadamard): SHAD/DHAD/CHAD/ZHAD/HHAD
template <typename T>
StatusCode Had(const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const T beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event) {
try {
auto queue_cpp = Queue(*queue);
auto routine = Xhad<T>(queue_cpp, event);
routine.DoHad(n,
alpha,
Buffer<T>(x_buffer), x_offset, x_inc,
Buffer<T>(y_buffer), y_offset, y_inc,
beta,
Buffer<T>(z_buffer), z_offset, z_inc);
return StatusCode::kSuccess;
} catch (...) { return DispatchException(); }
}
template StatusCode PUBLIC_API Had<float>(const size_t,
const float,
const cl_mem, const size_t, const size_t,
const cl_mem, const size_t, const size_t,
const float,
cl_mem, const size_t, const size_t,
cl_command_queue*, cl_event*);
template StatusCode PUBLIC_API Had<double>(const size_t,
const double,
const cl_mem, const size_t, const size_t,
const cl_mem, const size_t, const size_t,
const double,
cl_mem, const size_t, const size_t,
cl_command_queue*, cl_event*);
template StatusCode PUBLIC_API Had<float2>(const size_t,
const float2,
const cl_mem, const size_t, const size_t,
const cl_mem, const size_t, const size_t,
const float2,
cl_mem, const size_t, const size_t,
cl_command_queue*, cl_event*);
template StatusCode PUBLIC_API Had<double2>(const size_t,
const double2,
const cl_mem, const size_t, const size_t,
const cl_mem, const size_t, const size_t,
const double2,
cl_mem, const size_t, const size_t,
cl_command_queue*, cl_event*);
template StatusCode PUBLIC_API Had<half>(const size_t,
const half,
const cl_mem, const size_t, const size_t,
const cl_mem, const size_t, const size_t,
const half,
cl_mem, const size_t, const size_t,
cl_command_queue*, cl_event*);
// Scaling and out-place transpose/copy (non-BLAS function): SOMATCOPY/DOMATCOPY/COMATCOPY/ZOMATCOPY/HOMATCOPY
template <typename T>
StatusCode Omatcopy(const Layout layout, const Transpose a_transpose,

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@ -3423,6 +3423,103 @@ CLBlastStatusCode CLBlastZtrsm(const CLBlastLayout layout, const CLBlastSide sid
// Extra non-BLAS routines (level-X)
// =================================================================================================
// HAD
CLBlastStatusCode CLBlastShad(const size_t n,
const float alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const float beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event) {
try {
return static_cast<CLBlastStatusCode>(
clblast::Had(n,
alpha,
x_buffer, x_offset, x_inc,
y_buffer, y_offset, y_inc,
beta,
z_buffer, z_offset, z_inc,
queue, event)
);
} catch (...) { return static_cast<CLBlastStatusCode>(clblast::DispatchExceptionForC()); }
}
CLBlastStatusCode CLBlastDhad(const size_t n,
const double alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const double beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event) {
try {
return static_cast<CLBlastStatusCode>(
clblast::Had(n,
alpha,
x_buffer, x_offset, x_inc,
y_buffer, y_offset, y_inc,
beta,
z_buffer, z_offset, z_inc,
queue, event)
);
} catch (...) { return static_cast<CLBlastStatusCode>(clblast::DispatchExceptionForC()); }
}
CLBlastStatusCode CLBlastChad(const size_t n,
const cl_float2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const cl_float2 beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event) {
try {
return static_cast<CLBlastStatusCode>(
clblast::Had(n,
float2{alpha.s[0], alpha.s[1]},
x_buffer, x_offset, x_inc,
y_buffer, y_offset, y_inc,
float2{beta.s[0], beta.s[1]},
z_buffer, z_offset, z_inc,
queue, event)
);
} catch (...) { return static_cast<CLBlastStatusCode>(clblast::DispatchExceptionForC()); }
}
CLBlastStatusCode CLBlastZhad(const size_t n,
const cl_double2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const cl_double2 beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event) {
try {
return static_cast<CLBlastStatusCode>(
clblast::Had(n,
double2{alpha.s[0], alpha.s[1]},
x_buffer, x_offset, x_inc,
y_buffer, y_offset, y_inc,
double2{beta.s[0], beta.s[1]},
z_buffer, z_offset, z_inc,
queue, event)
);
} catch (...) { return static_cast<CLBlastStatusCode>(clblast::DispatchExceptionForC()); }
}
CLBlastStatusCode CLBlastHhad(const size_t n,
const cl_half alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
const cl_half beta,
cl_mem z_buffer, const size_t z_offset, const size_t z_inc,
cl_command_queue* queue, cl_event* event) {
try {
return static_cast<CLBlastStatusCode>(
clblast::Had(n,
alpha,
x_buffer, x_offset, x_inc,
y_buffer, y_offset, y_inc,
beta,
z_buffer, z_offset, z_inc,
queue, event)
);
} catch (...) { return static_cast<CLBlastStatusCode>(clblast::DispatchExceptionForC()); }
}
// OMATCOPY
CLBlastStatusCode CLBlastSomatcopy(const CLBlastLayout layout, const CLBlastTranspose a_transpose,
const size_t m, const size_t n,

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@ -2201,6 +2201,65 @@ template StatusCode PUBLIC_API Trsm<double2>(const Layout, const Side, const Tri
// Extra non-BLAS routines (level-X)
// =================================================================================================
// Element-wise vector product (Hadamard): SHAD/DHAD/CHAD/ZHAD/HHAD
template <typename T>
StatusCode Had(const size_t n,
const T alpha,
const CUdeviceptr x_buffer, const size_t x_offset, const size_t x_inc,
const CUdeviceptr y_buffer, const size_t y_offset, const size_t y_inc,
const T beta,
CUdeviceptr z_buffer, const size_t z_offset, const size_t z_inc,
const CUcontext context, const CUdevice device) {
try {
const auto context_cpp = Context(context);
const auto device_cpp = Device(device);
auto queue_cpp = Queue(context_cpp, device_cpp);
auto routine = Xhad<T>(queue_cpp, nullptr);
routine.DoHad(n,
alpha,
Buffer<T>(x_buffer), x_offset, x_inc,
Buffer<T>(y_buffer), y_offset, y_inc,
beta,
Buffer<T>(z_buffer), z_offset, z_inc);
return StatusCode::kSuccess;
} catch (...) { return DispatchException(); }
}
template StatusCode PUBLIC_API Had<float>(const size_t,
const float,
const CUdeviceptr, const size_t, const size_t,
const CUdeviceptr, const size_t, const size_t,
const float,
CUdeviceptr, const size_t, const size_t,
const CUcontext, const CUdevice);
template StatusCode PUBLIC_API Had<double>(const size_t,
const double,
const CUdeviceptr, const size_t, const size_t,
const CUdeviceptr, const size_t, const size_t,
const double,
CUdeviceptr, const size_t, const size_t,
const CUcontext, const CUdevice);
template StatusCode PUBLIC_API Had<float2>(const size_t,
const float2,
const CUdeviceptr, const size_t, const size_t,
const CUdeviceptr, const size_t, const size_t,
const float2,
CUdeviceptr, const size_t, const size_t,
const CUcontext, const CUdevice);
template StatusCode PUBLIC_API Had<double2>(const size_t,
const double2,
const CUdeviceptr, const size_t, const size_t,
const CUdeviceptr, const size_t, const size_t,
const double2,
CUdeviceptr, const size_t, const size_t,
const CUcontext, const CUdevice);
template StatusCode PUBLIC_API Had<half>(const size_t,
const half,
const CUdeviceptr, const size_t, const size_t,
const CUdeviceptr, const size_t, const size_t,
const half,
CUdeviceptr, const size_t, const size_t,
const CUcontext, const CUdevice);
// Scaling and out-place transpose/copy (non-BLAS function): SOMATCOPY/DOMATCOPY/COMATCOPY/ZOMATCOPY/HOMATCOPY
template <typename T>
StatusCode Omatcopy(const Layout layout, const Transpose a_transpose,

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@ -4621,6 +4621,140 @@ void cblas_ztrsm(const CLBlastLayout layout, const CLBlastSide side, const CLBla
// Extra non-BLAS routines (level-X)
// =================================================================================================
// HAD
void cblas_shad(const int n,
const float alpha,
const float* x, const int x_inc,
const float* y, const int y_inc,
const float beta,
float* z, const int z_inc) {
auto device = get_device();
auto context = clblast::Context(device);
auto queue = clblast::Queue(context, device);
const auto alpha_cpp = alpha;
const auto beta_cpp = beta;
const auto x_size = n * x_inc;
const auto y_size = n * y_inc;
const auto z_size = n * z_inc;
auto x_buffer = clblast::Buffer<float>(context, x_size);
auto y_buffer = clblast::Buffer<float>(context, y_size);
auto z_buffer = clblast::Buffer<float>(context, z_size);
x_buffer.Write(queue, x_size, reinterpret_cast<const float*>(x));
y_buffer.Write(queue, y_size, reinterpret_cast<const float*>(y));
z_buffer.Write(queue, z_size, reinterpret_cast<float*>(z));
auto queue_cl = queue();
auto s = clblast::Had(n,
alpha_cpp,
x_buffer(), 0, x_inc,
y_buffer(), 0, y_inc,
beta_cpp,
z_buffer(), 0, z_inc,
&queue_cl);
if (s != clblast::StatusCode::kSuccess) {
throw std::runtime_error("CLBlast returned with error code " + clblast::ToString(s));
}
z_buffer.Read(queue, z_size, reinterpret_cast<float*>(z));
}
void cblas_dhad(const int n,
const double alpha,
const double* x, const int x_inc,
const double* y, const int y_inc,
const double beta,
double* z, const int z_inc) {
auto device = get_device();
auto context = clblast::Context(device);
auto queue = clblast::Queue(context, device);
const auto alpha_cpp = alpha;
const auto beta_cpp = beta;
const auto x_size = n * x_inc;
const auto y_size = n * y_inc;
const auto z_size = n * z_inc;
auto x_buffer = clblast::Buffer<double>(context, x_size);
auto y_buffer = clblast::Buffer<double>(context, y_size);
auto z_buffer = clblast::Buffer<double>(context, z_size);
x_buffer.Write(queue, x_size, reinterpret_cast<const double*>(x));
y_buffer.Write(queue, y_size, reinterpret_cast<const double*>(y));
z_buffer.Write(queue, z_size, reinterpret_cast<double*>(z));
auto queue_cl = queue();
auto s = clblast::Had(n,
alpha_cpp,
x_buffer(), 0, x_inc,
y_buffer(), 0, y_inc,
beta_cpp,
z_buffer(), 0, z_inc,
&queue_cl);
if (s != clblast::StatusCode::kSuccess) {
throw std::runtime_error("CLBlast returned with error code " + clblast::ToString(s));
}
z_buffer.Read(queue, z_size, reinterpret_cast<double*>(z));
}
void cblas_chad(const int n,
const void* alpha,
const void* x, const int x_inc,
const void* y, const int y_inc,
const void* beta,
void* z, const int z_inc) {
auto device = get_device();
auto context = clblast::Context(device);
auto queue = clblast::Queue(context, device);
const auto alpha_cpp = float2{reinterpret_cast<const float*>(alpha)[0], reinterpret_cast<const float*>(alpha)[1]};
const auto beta_cpp = float2{reinterpret_cast<const float*>(beta)[0], reinterpret_cast<const float*>(beta)[1]};
const auto x_size = n * x_inc;
const auto y_size = n * y_inc;
const auto z_size = n * z_inc;
auto x_buffer = clblast::Buffer<float2>(context, x_size);
auto y_buffer = clblast::Buffer<float2>(context, y_size);
auto z_buffer = clblast::Buffer<float2>(context, z_size);
x_buffer.Write(queue, x_size, reinterpret_cast<const float2*>(x));
y_buffer.Write(queue, y_size, reinterpret_cast<const float2*>(y));
z_buffer.Write(queue, z_size, reinterpret_cast<float2*>(z));
auto queue_cl = queue();
auto s = clblast::Had(n,
alpha_cpp,
x_buffer(), 0, x_inc,
y_buffer(), 0, y_inc,
beta_cpp,
z_buffer(), 0, z_inc,
&queue_cl);
if (s != clblast::StatusCode::kSuccess) {
throw std::runtime_error("CLBlast returned with error code " + clblast::ToString(s));
}
z_buffer.Read(queue, z_size, reinterpret_cast<float2*>(z));
}
void cblas_zhad(const int n,
const void* alpha,
const void* x, const int x_inc,
const void* y, const int y_inc,
const void* beta,
void* z, const int z_inc) {
auto device = get_device();
auto context = clblast::Context(device);
auto queue = clblast::Queue(context, device);
const auto alpha_cpp = double2{reinterpret_cast<const double*>(alpha)[0], reinterpret_cast<const double*>(alpha)[1]};
const auto beta_cpp = double2{reinterpret_cast<const double*>(beta)[0], reinterpret_cast<const double*>(beta)[1]};
const auto x_size = n * x_inc;
const auto y_size = n * y_inc;
const auto z_size = n * z_inc;
auto x_buffer = clblast::Buffer<double2>(context, x_size);
auto y_buffer = clblast::Buffer<double2>(context, y_size);
auto z_buffer = clblast::Buffer<double2>(context, z_size);
x_buffer.Write(queue, x_size, reinterpret_cast<const double2*>(x));
y_buffer.Write(queue, y_size, reinterpret_cast<const double2*>(y));
z_buffer.Write(queue, z_size, reinterpret_cast<double2*>(z));
auto queue_cl = queue();
auto s = clblast::Had(n,
alpha_cpp,
x_buffer(), 0, x_inc,
y_buffer(), 0, y_inc,
beta_cpp,
z_buffer(), 0, z_inc,
&queue_cl);
if (s != clblast::StatusCode::kSuccess) {
throw std::runtime_error("CLBlast returned with error code " + clblast::ToString(s));
}
z_buffer.Read(queue, z_size, reinterpret_cast<double2*>(z));
}
// OMATCOPY
void cblas_somatcopy(const CLBlastLayout layout, const CLBlastTranspose a_transpose,
const int m, const int n,

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// =================================================================================================
// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
// width of 100 characters per line.
//
// Author(s):
// Cedric Nugteren <www.cedricnugteren.nl>
//
// This file implements the Xhad class (see the header for information about the class).
//
// =================================================================================================
#include "routines/levelx/xhad.hpp"
#include <string>
#include <vector>
namespace clblast {
// =================================================================================================
// Constructor: forwards to base class constructor
template <typename T>
Xhad<T>::Xhad(Queue &queue, EventPointer event, const std::string &name):
Routine(queue, event, name, {"Xaxpy"}, PrecisionValue<T>(), {}, {
#include "../../kernels/level1/level1.opencl"
#include "../../kernels/level1/xaxpy.opencl"
}) {
}
// =================================================================================================
// The main routine
template <typename T>
void Xhad<T>::DoHad(const size_t n, const T alpha,
const Buffer<T> &x_buffer, const size_t x_offset, const size_t x_inc,
const Buffer<T> &y_buffer, const size_t y_offset, const size_t y_inc, const T beta,
const Buffer<T> &z_buffer, const size_t z_offset, const size_t z_inc) {
// Makes sure all dimensions are larger than zero
if (n == 0) { throw BLASError(StatusCode::kInvalidDimension); }
// Tests the vectors for validity
TestVectorX(n, x_buffer, x_offset, x_inc);
TestVectorY(n, y_buffer, y_offset, y_inc);
TestVectorY(n, z_buffer, z_offset, z_inc); // TODO: Make a TestVectorZ function with error codes
}
// =================================================================================================
// Compiles the templated class
template class Xhad<half>;
template class Xhad<float>;
template class Xhad<double>;
template class Xhad<float2>;
template class Xhad<double2>;
// =================================================================================================
} // namespace clblast

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// =================================================================================================
// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
// width of 100 characters per line.
//
// Author(s):
// Cedric Nugteren <www.cedricnugteren.nl>
//
// This file implements the Xhad routine. The precision is implemented using a template argument.
//
// =================================================================================================
#ifndef CLBLAST_ROUTINES_XHAD_H_
#define CLBLAST_ROUTINES_XHAD_H_
#include "routine.hpp"
namespace clblast {
// =================================================================================================
// See comment at top of file for a description of the class
template <typename T>
class Xhad: public Routine {
public:
// Constructor
Xhad(Queue &queue, EventPointer event, const std::string &name = "HAD");
// Templated-precision implementation of the routine
void DoHad(const size_t n, const T alpha,
const Buffer<T> &x_buffer, const size_t x_offset, const size_t x_inc,
const Buffer<T> &y_buffer, const size_t y_offset, const size_t y_inc, const T beta,
const Buffer<T> &z_buffer, const size_t z_offset, const size_t z_inc);
};
// =================================================================================================
} // namespace clblast
// CLBLAST_ROUTINES_XHAD_H_
#endif

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@ -67,6 +67,7 @@
#include "routines/level3/xtrsm.hpp"
// Level-x includes (non-BLAS)
#include "routines/levelx/xhad.hpp"
#include "routines/levelx/xomatcopy.hpp"
#include "routines/levelx/xim2col.hpp"
#include "routines/levelx/xaxpybatched.hpp"

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// =================================================================================================
// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
// width of 100 characters per line.
//
// Author(s):
// Cedric Nugteren <www.cedricnugteren.nl>
//
// =================================================================================================
#include "test/correctness/testblas.hpp"
#include "test/routines/levelx/xhad.hpp"
// Main function (not within the clblast namespace)
int main(int argc, char *argv[]) {
auto errors = size_t{0};
errors += clblast::RunTests<clblast::TestXhad<float>, float, float>(argc, argv, false, "SHAD");
errors += clblast::RunTests<clblast::TestXhad<double>, double, double>(argc, argv, true, "DHAD");
errors += clblast::RunTests<clblast::TestXhad<clblast::float2>, clblast::float2, clblast::float2>(argc, argv, true, "CHAD");
errors += clblast::RunTests<clblast::TestXhad<clblast::double2>, clblast::double2, clblast::double2>(argc, argv, true, "ZHAD");
errors += clblast::RunTests<clblast::TestXhad<clblast::half>, clblast::half, clblast::half>(argc, argv, true, "HHAD");
if (errors > 0) { return 1; } else { return 0; }
}
// =================================================================================================

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// =================================================================================================
// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
// width of 100 characters per line.
//
// Author(s):
// Cedric Nugteren <www.cedricnugteren.nl>
//
// =================================================================================================
#include "test/performance/client.hpp"
#include "test/routines/levelx/xhad.hpp"
// Main function (not within the clblast namespace)
int main(int argc, char *argv[]) {
const auto command_line_args = clblast::RetrieveCommandLineArguments(argc, argv);
switch(clblast::GetPrecision(command_line_args, clblast::Precision::kSingle)) {
case clblast::Precision::kHalf:
clblast::RunClient<clblast::TestXhad<clblast::half>, clblast::half, clblast::half>(argc, argv); break;
case clblast::Precision::kSingle:
clblast::RunClient<clblast::TestXhad<float>, float, float>(argc, argv); break;
case clblast::Precision::kDouble:
clblast::RunClient<clblast::TestXhad<double>, double, double>(argc, argv); break;
case clblast::Precision::kComplexSingle:
clblast::RunClient<clblast::TestXhad<clblast::float2>, clblast::float2, clblast::float2>(argc, argv); break;
case clblast::Precision::kComplexDouble:
clblast::RunClient<clblast::TestXhad<clblast::double2>, clblast::double2, clblast::double2>(argc, argv); break;
}
return 0;
}
// =================================================================================================

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// =================================================================================================
// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
// width of 100 characters per line.
//
// Author(s):
// Cedric Nugteren <www.cedricnugteren.nl>
//
// This file implements a class with static methods to describe the Xhad routine. Examples of
// such 'descriptions' are how to calculate the size a of buffer or how to run the routine. These
// static methods are used by the correctness tester and the performance tester.
//
// =================================================================================================
#ifndef CLBLAST_TEST_ROUTINES_XHAD_H_
#define CLBLAST_TEST_ROUTINES_XHAD_H_
#include "test/routines/common.hpp"
namespace clblast {
// =================================================================================================
// See comment at top of file for a description of the class
template <typename T>
class TestXhad {
public:
// The BLAS level: 4 for the extra routines
static size_t BLASLevel() { return 4; }
// The list of arguments relevant for this routine
static std::vector<std::string> GetOptions() {
return {kArgN,
kArgXInc, kArgYInc,
kArgXOffset, kArgYOffset,
kArgAlpha};
}
static std::vector<std::string> BuffersIn() { return {kBufVecX, kBufVecY, kBufMatC}; }
static std::vector<std::string> BuffersOut() { return {kBufMatC}; }
// Describes how to obtain the sizes of the buffers
static size_t GetSizeX(const Arguments<T> &args) {
return args.n * args.x_inc + args.x_offset;
}
static size_t GetSizeY(const Arguments<T> &args) {
return args.n * args.y_inc + args.y_offset;
}
static size_t GetSizeC(const Arguments<T> &args) { // used for 'vector z'
return args.n; // * args.z_inc + args.z_offset;
}
// Describes how to set the sizes of all the buffers
static void SetSizes(Arguments<T> &args, Queue&) {
args.x_size = GetSizeX(args);
args.y_size = GetSizeY(args);
args.c_size = GetSizeC(args); // used for 'vector z'
}
// Describes what the default values of the leading dimensions of the matrices are
static size_t DefaultLDA(const Arguments<T> &) { return 1; } // N/A for this routine
static size_t DefaultLDB(const Arguments<T> &) { return 1; } // N/A for this routine
static size_t DefaultLDC(const Arguments<T> &) { return 1; } // N/A for this routine
// Describes which transpose options are relevant for this routine
using Transposes = std::vector<Transpose>;
static Transposes GetATransposes(const Transposes &) { return {}; } // N/A for this routine
static Transposes GetBTransposes(const Transposes &) { return {}; } // N/A for this routine
// Describes how to prepare the input data
static void PrepareData(const Arguments<T>&, Queue&, const int, std::vector<T>&,
std::vector<T>&, std::vector<T>&, std::vector<T>&, std::vector<T>&,
std::vector<T>&, std::vector<T>&) {} // N/A for this routine
// Describes how to run the CLBlast routine
static StatusCode RunRoutine(const Arguments<T> &args, Buffers<T> &buffers, Queue &queue) {
#ifdef OPENCL_API
auto queue_plain = queue();
auto event = cl_event{};
auto status = Had(args.n, args.alpha,
buffers.x_vec(), args.x_offset, args.x_inc,
buffers.y_vec(), args.y_offset, args.y_inc, args.beta,
buffers.c_mat(), 0, 1, // used for 'vector z'
&queue_plain, &event);
if (status == StatusCode::kSuccess) { clWaitForEvents(1, &event); clReleaseEvent(event); }
#elif CUDA_API
auto status = Had(args.n, args.alpha,
buffers.x_vec(), args.x_offset, args.x_inc,
buffers.y_vec(), args.y_offset, args.y_inc, args.beta,
buffers.c_mat(), 0, 1, // used for 'vector z'
queue.GetContext()(), queue.GetDevice()());
cuStreamSynchronize(queue());
#endif
return status;
}
// Describes how to run a naive version of the routine (for correctness/performance comparison).
// Note that a proper clBLAS or CPU BLAS comparison is not available for non-BLAS routines.
static StatusCode RunReference1(const Arguments<T> &args, Buffers<T> &buffers, Queue &queue) {
auto buffers_host = BuffersHost<T>();
DeviceToHost(args, buffers, buffers_host, queue, BuffersIn());
const auto status = RunReference(args, buffers_host);
HostToDevice(args, buffers, buffers_host, queue, BuffersOut());
return status;
}
static StatusCode RunReference2(const Arguments<T> &args, BuffersHost<T> &buffers_host, Queue&) {
return RunReference(args, buffers_host);
}
static StatusCode RunReference3(const Arguments<T> &, BuffersCUDA<T> &, Queue &) {
return StatusCode::kUnknownError;
}
// Describes how to download the results of the computation (more importantly: which buffer)
static std::vector<T> DownloadResult(const Arguments<T> &args, Buffers<T> &buffers, Queue &queue) {
std::vector<T> result(args.c_size, static_cast<T>(0));
buffers.c_mat.Read(queue, args.c_size, result);
return result;
}
// Describes how to compute the indices of the result buffer
static size_t ResultID1(const Arguments<T> &args) { return args.n; }
static size_t ResultID2(const Arguments<T> &) { return 1; } // N/A for this routine
static size_t GetResultIndex(const Arguments<T> &args, const size_t id1, const size_t) {
return id1; // * args.z_inc + args.z_offset;
}
// Describes how to compute performance metrics
static size_t GetFlops(const Arguments<T> &args) {
return 4 * args.n;
}
static size_t GetBytes(const Arguments<T> &args) {
return (4 * args.n) * sizeof(T);
}
};
// =================================================================================================
template <typename T>
StatusCode RunReference(const Arguments<T> &args, BuffersHost<T> &buffers_host) {
for (auto index = size_t{0}; index < args.n; ++index) {
const auto x = buffers_host.x_vec[index * args.x_inc + args.x_offset];
const auto y = buffers_host.y_vec[index * args.y_inc + args.y_offset];
const auto z = buffers_host.c_mat[index]; // * args.z_inc + args.z_offset];
buffers_host.c_mat[index] = x * y * args.alpha + z * args.beta;
}
return StatusCode::kSuccess;
}
// =================================================================================================
} // namespace clblast
// CLBLAST_TEST_ROUTINES_XHAD_H_
#endif