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New subgroups - full changes set (#1074)
* Extended subgroups - extended types types * Extended subgroups - non uniform vote tests * Extended subgroups - non uniform arithmetic tests * Extended subgroups - ballot tests * Extended subgroups - clustered reduce tests * Extended subgroups - shuffle tests * Extended subgroups - formating issues * Extended subgroups - review fixes * Extended subgroups - review fixes Fixed: removed additional brakes, kernel_sstr * Extended subgroups - fix macos build error * Extended subgroups - review fixes Fixed: mac os build error * Extended subgroups - data type verification example * Extended subgroups - error unification * Extended subgroups - fix header years * Extended subgroups - use is_half_nan * Extended subgroups - compare half as float * Review fixes mostly for ballot functions. - Modify kernels for better handling active/inactive workitems - Modify gen/chk functions for handling non uniform workgroup sizes - Introduce new variables naming convention - minor fixes * Extended subgroups - simplification data generation for ballot lsb/msb functions * Extended subgroups - minor fixes * Extended subgroups - move common code to function * Extended subgroups - formatting errors fix * Extended subgroups - fix build error * Extended subgroups - sub_group_elect more sophisticated Define mask which is 4bytes pattern where bit 1 means work item is active. If workitem in subgroup matches pattern then run sub_group_elect() * Extended subgroups - fix Ubuntu build error * Extended subgroups - voting function review fixes * adjust all function for using masks * remove calculate templates * merge code to one common template * check results only in active workitems * normalize values on host side * minor fixes * Extended subgroups - fix typos * Set of fixes and improvements after review * define WorkGroupParams to stop extended parameters list in function * better workitems mask handing (WorkGroupParams) * narrow values of data input generation to avoid overflows (arithmetic func) * implement work item masks for arithmetic functions * enable half type testing for reduction/scan/broadcast * minor fixes * Extended subgroups - fix Linux issues * Extended subgroups - fix sub_group_local_id data type * Extended subgroups - use vector instead of array. * Extended subgroups - change names to subgroup * Extended subgroups - uncomment code, fix build * Extended subgroups - build fix, use cl_half_from_float func * Extended subgroups - remove is_half_nan * Extended subgroups - do no use undef min/max * Extended subgroups - use parenthesis, fix formatting
This commit is contained in:
Grzegorz Wawiorko
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GitHub
GitHub
parent
c5e4ca6c91
commit
71bef8563e
217
test_conformance/subgroups/test_subgroup.cpp
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217
test_conformance/subgroups/test_subgroup.cpp
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//
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// Copyright (c) 2017 The Khronos Group Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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#include "procs.h"
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#include "subhelpers.h"
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#include "subgroup_common_kernels.h"
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#include "subgroup_common_templates.h"
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#include "harness/conversions.h"
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#include "harness/typeWrappers.h"
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namespace {
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// Any/All test functions
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template <NonUniformVoteOp operation> struct AA
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{
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static void gen(cl_int *x, cl_int *t, cl_int *m,
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const WorkGroupParams &test_params)
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{
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int i, ii, j, k, n;
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int ng = test_params.global_workgroup_size;
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int nw = test_params.local_workgroup_size;
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int ns = test_params.subgroup_size;
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int nj = (nw + ns - 1) / ns;
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int e;
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ng = ng / nw;
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ii = 0;
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log_info(" sub_group_%s...\n", operation_names(operation));
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for (k = 0; k < ng; ++k)
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{
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for (j = 0; j < nj; ++j)
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{
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ii = j * ns;
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n = ii + ns > nw ? nw - ii : ns;
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e = (int)(genrand_int32(gMTdata) % 3);
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// Initialize data matrix indexed by local id and sub group id
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switch (e)
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{
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case 0: memset(&t[ii], 0, n * sizeof(cl_int)); break;
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case 1:
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memset(&t[ii], 0, n * sizeof(cl_int));
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i = (int)(genrand_int32(gMTdata) % (cl_uint)n);
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t[ii + i] = 41;
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break;
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case 2: memset(&t[ii], 0xff, n * sizeof(cl_int)); break;
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}
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}
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// Now map into work group using map from device
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for (j = 0; j < nw; ++j)
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{
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x[j] = t[j];
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}
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x += nw;
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m += 4 * nw;
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}
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}
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static int chk(cl_int *x, cl_int *y, cl_int *mx, cl_int *my, cl_int *m,
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const WorkGroupParams &test_params)
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{
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int ii, i, j, k, n;
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int ng = test_params.global_workgroup_size;
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int nw = test_params.local_workgroup_size;
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int ns = test_params.subgroup_size;
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int nj = (nw + ns - 1) / ns;
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cl_int taa, raa;
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ng = ng / nw;
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for (k = 0; k < ng; ++k)
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{
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// Map to array indexed to array indexed by local ID and sub group
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for (j = 0; j < nw; ++j)
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{
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mx[j] = x[j];
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my[j] = y[j];
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}
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for (j = 0; j < nj; ++j)
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{
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ii = j * ns;
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n = ii + ns > nw ? nw - ii : ns;
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// Compute target
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if (operation == NonUniformVoteOp::any)
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{
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taa = 0;
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for (i = 0; i < n; ++i) taa |= mx[ii + i] != 0;
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}
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if (operation == NonUniformVoteOp::all)
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{
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taa = 1;
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for (i = 0; i < n; ++i) taa &= mx[ii + i] != 0;
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}
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// Check result
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for (i = 0; i < n; ++i)
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{
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raa = my[ii + i] != 0;
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if (raa != taa)
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{
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log_error("ERROR: sub_group_%s mismatch for local id "
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"%d in sub group %d in group %d\n",
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operation_names(operation), i, j, k);
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return TEST_FAIL;
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}
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}
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}
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x += nw;
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y += nw;
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m += 4 * nw;
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}
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log_info(" sub_group_%s... passed\n", operation_names(operation));
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return TEST_PASS;
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}
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};
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static const char *any_source = "__kernel void test_any(const __global Type "
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"*in, __global int4 *xy, __global Type *out)\n"
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"{\n"
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" int gid = get_global_id(0);\n"
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" XY(xy,gid);\n"
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" out[gid] = sub_group_any(in[gid]);\n"
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"}\n";
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static const char *all_source = "__kernel void test_all(const __global Type "
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"*in, __global int4 *xy, __global Type *out)\n"
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"{\n"
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" int gid = get_global_id(0);\n"
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" XY(xy,gid);\n"
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" out[gid] = sub_group_all(in[gid]);\n"
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"}\n";
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template <typename T>
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int run_broadcast_scan_reduction_for_type(RunTestForType rft)
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{
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int error = rft.run_impl<T, BC<T, SubgroupsBroadcastOp::broadcast>>(
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"test_bcast", bcast_source);
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error |= rft.run_impl<T, RED_NU<T, ArithmeticOp::add_>>("test_redadd",
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redadd_source);
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error |= rft.run_impl<T, RED_NU<T, ArithmeticOp::max_>>("test_redmax",
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redmax_source);
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error |= rft.run_impl<T, RED_NU<T, ArithmeticOp::min_>>("test_redmin",
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redmin_source);
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error |= rft.run_impl<T, SCIN_NU<T, ArithmeticOp::add_>>("test_scinadd",
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scinadd_source);
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error |= rft.run_impl<T, SCIN_NU<T, ArithmeticOp::max_>>("test_scinmax",
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scinmax_source);
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error |= rft.run_impl<T, SCIN_NU<T, ArithmeticOp::min_>>("test_scinmin",
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scinmin_source);
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error |= rft.run_impl<T, SCEX_NU<T, ArithmeticOp::add_>>("test_scexadd",
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scexadd_source);
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error |= rft.run_impl<T, SCEX_NU<T, ArithmeticOp::max_>>("test_scexmax",
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scexmax_source);
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error |= rft.run_impl<T, SCEX_NU<T, ArithmeticOp::min_>>("test_scexmin",
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scexmin_source);
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return error;
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}
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}
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// Entry point from main
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int test_subgroup_functions(cl_device_id device, cl_context context,
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cl_command_queue queue, int num_elements,
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bool useCoreSubgroups)
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{
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constexpr size_t global_work_size = 2000;
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constexpr size_t local_work_size = 200;
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WorkGroupParams test_params(global_work_size, local_work_size);
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RunTestForType rft(device, context, queue, num_elements, test_params);
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int error =
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rft.run_impl<cl_int, AA<NonUniformVoteOp::any>>("test_any", any_source);
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error |=
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rft.run_impl<cl_int, AA<NonUniformVoteOp::all>>("test_all", all_source);
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error |= run_broadcast_scan_reduction_for_type<cl_int>(rft);
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error |= run_broadcast_scan_reduction_for_type<cl_uint>(rft);
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error |= run_broadcast_scan_reduction_for_type<cl_long>(rft);
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error |= run_broadcast_scan_reduction_for_type<cl_ulong>(rft);
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error |= run_broadcast_scan_reduction_for_type<cl_float>(rft);
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error |= run_broadcast_scan_reduction_for_type<cl_double>(rft);
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error |= run_broadcast_scan_reduction_for_type<subgroups::cl_half>(rft);
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return error;
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}
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int test_subgroup_functions_core(cl_device_id device, cl_context context,
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cl_command_queue queue, int num_elements)
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{
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return test_subgroup_functions(device, context, queue, num_elements, true);
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}
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int test_subgroup_functions_ext(cl_device_id device, cl_context context,
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cl_command_queue queue, int num_elements)
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{
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bool hasExtension = is_extension_available(device, "cl_khr_subgroups");
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if (!hasExtension)
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{
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log_info(
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"Device does not support 'cl_khr_subgroups'. Skipping the test.\n");
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return TEST_SKIPPED_ITSELF;
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}
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return test_subgroup_functions(device, context, queue, num_elements, false);
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}
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