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// Copyright 2017 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "generate.h"
#include <vespa/eval/eval/test/tensor_model.hpp>
#include <vespa/eval/eval/operation.h>
#include <vespa/eval/eval/aggr.h>
#include <vespa/vespalib/util/stringfmt.h>
using namespace vespalib::eval;
using namespace vespalib::eval::test;
const double my_nan = std::numeric_limits<double>::quiet_NaN();
//-----------------------------------------------------------------------------
void generate_reduce(Aggr aggr, const Sequence &seq, TestBuilder &dst) {
std::vector<Layout> layouts = {
{x(3)},
{x(3),y(5)},
{x(3),y(5),z(7)},
float_cells({x(3),y(5),z(7)}),
{x({"a","b","c"})},
{x({"a","b","c"}),y({"foo","bar"})},
{x({"a","b","c"}),y({"foo","bar"}),z({"i","j","k","l"})},
float_cells({x({"a","b","c"}),y({"foo","bar"}),z({"i","j","k","l"})}),
{x(3),y({"foo", "bar"}),z(7)},
{x({"a","b","c"}),y(5),z({"i","j","k","l"})},
float_cells({x({"a","b","c"}),y(5),z({"i","j","k","l"})})
};
for (const Layout &layout: layouts) {
TensorSpec input = spec(layout, seq);
for (const Domain &domain: layout) {
vespalib::string expr = vespalib::make_string("reduce(a,%s,%s)",
AggrNames::name_of(aggr)->c_str(), domain.dimension.c_str());
dst.add(expr, {{"a", input}});
}
{
vespalib::string expr = vespalib::make_string("reduce(a,%s)", AggrNames::name_of(aggr)->c_str());
dst.add(expr, {{"a", input}});
}
}
}
void generate_tensor_reduce(TestBuilder &dst) {
generate_reduce(Aggr::AVG, N(), dst);
generate_reduce(Aggr::COUNT, N(), dst);
generate_reduce(Aggr::PROD, SigmoidF(N()), dst);
generate_reduce(Aggr::SUM, N(), dst);
generate_reduce(Aggr::MAX, N(), dst);
generate_reduce(Aggr::MIN, N(), dst);
}
//-----------------------------------------------------------------------------
void generate_map_expr(const vespalib::string &expr, map_fun_t ref_op, const Sequence &seq, TestBuilder &dst) {
std::vector<Layout> layouts = {
{},
{x(3)},
{x(3),y(5)},
{x(3),y(5),z(7)},
float_cells({x(3),y(5),z(7)}),
{x({"a","b","c"})},
{x({"a","b","c"}),y({"foo","bar"})},
{x({"a","b","c"}),y({"foo","bar"}),z({"i","j","k","l"})},
float_cells({x({"a","b","c"}),y({"foo","bar"}),z({"i","j","k","l"})}),
{x(3),y({"foo", "bar"}),z(7)},
{x({"a","b","c"}),y(5),z({"i","j","k","l"})},
float_cells({x({"a","b","c"}),y(5),z({"i","j","k","l"})})
};
for (const Layout &layout: layouts) {
dst.add(expr, {{"a", spec(layout, seq)}}, spec(layout, OpSeq(seq, ref_op)));
}
}
void generate_op1_map(const vespalib::string &op1_expr, map_fun_t ref_op, const Sequence &seq, TestBuilder &dst) {
generate_map_expr(op1_expr, ref_op, seq, dst);
generate_map_expr(vespalib::make_string("map(a,f(a)(%s))", op1_expr.c_str()), ref_op, seq, dst);
}
void generate_tensor_map(TestBuilder &dst) {
generate_op1_map("-a", operation::Neg::f, Sub2(Div16(N())), dst);
generate_op1_map("!a", operation::Not::f, Mask2Seq(SkipNth(3)), dst);
generate_op1_map("cos(a)", operation::Cos::f, Div16(N()), dst);
generate_op1_map("sin(a)", operation::Sin::f, Div16(N()), dst);
generate_op1_map("tan(a)", operation::Tan::f, Div16(N()), dst);
generate_op1_map("cosh(a)", operation::Cosh::f, Div16(N()), dst);
generate_op1_map("sinh(a)", operation::Sinh::f, Div16(N()), dst);
generate_op1_map("tanh(a)", operation::Tanh::f, Div16(N()), dst);
generate_op1_map("acos(a)", operation::Acos::f, SigmoidF(Div16(N())), dst);
generate_op1_map("asin(a)", operation::Asin::f, SigmoidF(Div16(N())), dst);
generate_op1_map("atan(a)", operation::Atan::f, Div16(N()), dst);
generate_op1_map("exp(a)", operation::Exp::f, Div16(N()), dst);
generate_op1_map("log10(a)", operation::Log10::f, Div16(N()), dst);
generate_op1_map("log(a)", operation::Log::f, Div16(N()), dst);
generate_op1_map("sqrt(a)", operation::Sqrt::f, Div16(N()), dst);
generate_op1_map("ceil(a)", operation::Ceil::f, Div16(N()), dst);
generate_op1_map("fabs(a)", operation::Fabs::f, Div16(N()), dst);
generate_op1_map("floor(a)", operation::Floor::f, Div16(N()), dst);
generate_op1_map("isNan(a)", operation::IsNan::f, Mask2Seq(SkipNth(3), 1.0, my_nan), dst);
generate_op1_map("relu(a)", operation::Relu::f, Sub2(Div16(N())), dst);
generate_op1_map("sigmoid(a)", operation::Sigmoid::f, Sub2(Div16(N())), dst);
generate_op1_map("elu(a)", operation::Elu::f, Sub2(Div16(N())), dst);
generate_op1_map("a in [1,5,7,13,42]", MyIn::f, N(), dst);
generate_map_expr("map(a,f(a)((a+1)*2))", MyOp::f, Div16(N()), dst);
}
//-----------------------------------------------------------------------------
void generate_join_expr(const vespalib::string &expr, const Sequence &seq, TestBuilder &dst) {
std::vector<Layout> layouts = {
{}, {},
{x(5)}, {x(5)},
{x(5)}, {y(5)},
{x(5)}, {x(5),y(5)},
{y(3)}, {x(2),z(3)},
{x(3),y(5)}, {y(5),z(7)},
float_cells({x(3),y(5)}), {y(5),z(7)},
{x(3),y(5)}, float_cells({y(5),z(7)}),
float_cells({x(3),y(5)}), float_cells({y(5),z(7)}),
{x({"a","b","c"})}, {x({"a","b","c"})},
{x({"a","b","c"})}, {x({"a","b"})},
{x({"a","b","c"})}, {y({"foo","bar","baz"})},
{x({"a","b","c"})}, {x({"a","b","c"}),y({"foo","bar","baz"})},
{x({"a","b"}),y({"foo","bar","baz"})}, {x({"a","b","c"}),y({"foo","bar"})},
{x({"a","b"}),y({"foo","bar","baz"})}, {y({"foo","bar"}),z({"i","j","k","l"})},
float_cells({x({"a","b"}),y({"foo","bar","baz"})}), {y({"foo","bar"}),z({"i","j","k","l"})},
{x({"a","b"}),y({"foo","bar","baz"})}, float_cells({y({"foo","bar"}),z({"i","j","k","l"})}),
float_cells({x({"a","b"}),y({"foo","bar","baz"})}), float_cells({y({"foo","bar"}),z({"i","j","k","l"})}),
{x(3),y({"foo", "bar"})}, {y({"foo", "bar"}),z(7)},
{x({"a","b","c"}),y(5)}, {y(5),z({"i","j","k","l"})},
float_cells({x({"a","b","c"}),y(5)}), {y(5),z({"i","j","k","l"})},
{x({"a","b","c"}),y(5)}, float_cells({y(5),z({"i","j","k","l"})}),
float_cells({x({"a","b","c"}),y(5)}), float_cells({y(5),z({"i","j","k","l"})})
};
ASSERT_TRUE((layouts.size() % 2) == 0);
for (size_t i = 0; i < layouts.size(); i += 2) {
auto a = spec(layouts[i], seq);
auto b = spec(layouts[i + 1], seq);
dst.add(expr, {{"a", a}, {"b", b}});
}
}
void generate_op2_join(const vespalib::string &op2_expr, const Sequence &seq, TestBuilder &dst) {
generate_join_expr(op2_expr, seq, dst);
generate_join_expr(vespalib::make_string("join(a,b,f(a,b)(%s))", op2_expr.c_str()), seq, dst);
}
void generate_tensor_join(TestBuilder &dst) {
generate_op2_join("a+b", Div16(N()), dst);
generate_op2_join("a-b", Div16(N()), dst);
generate_op2_join("a*b", Div16(N()), dst);
generate_op2_join("a/b", Div16(N()), dst);
generate_op2_join("a%b", Div16(N()), dst);
generate_op2_join("a^b", Div16(N()), dst);
generate_op2_join("pow(a,b)", Div16(N()), dst);
generate_op2_join("a==b", Div16(N()), dst);
generate_op2_join("a!=b", Div16(N()), dst);
generate_op2_join("a~=b", Div16(N()), dst);
generate_op2_join("a<b", Div16(N()), dst);
generate_op2_join("a<=b", Div16(N()), dst);
generate_op2_join("a>b", Div16(N()), dst);
generate_op2_join("a>=b", Div16(N()), dst);
generate_op2_join("a&&b", Mask2Seq(SkipNth(3)), dst);
generate_op2_join("a||b", Mask2Seq(SkipNth(3)), dst);
generate_op2_join("atan2(a,b)", Div16(N()), dst);
generate_op2_join("ldexp(a,b)", Div16(N()), dst);
generate_op2_join("fmod(a,b)", Div16(N()), dst);
generate_op2_join("min(a,b)", Div16(N()), dst);
generate_op2_join("max(a,b)", Div16(N()), dst);
generate_join_expr("join(a,b,f(a,b)((a+b)/(a*b)))", Div16(N()), dst);
}
//-----------------------------------------------------------------------------
void generate_dot_product(TestBuilder &dst,
double expect,
const Layout &lhs, const Seq &lhs_seq,
const Layout &rhs, const Seq &rhs_seq)
{
dst.add("reduce(a*b,sum)",
{ {"a", spec(lhs, lhs_seq)},{"b", spec(rhs, rhs_seq)} },
spec(expect));
}
void generate_dot_product(TestBuilder &dst,
double expect,
const Layout &layout,
const Seq &lhs_seq,
const Seq &rhs_seq)
{
auto fl_lay = float_cells(layout);
generate_dot_product(dst, expect, layout, lhs_seq, layout, rhs_seq);
generate_dot_product(dst, expect, fl_lay, lhs_seq, layout, rhs_seq);
generate_dot_product(dst, expect, layout, lhs_seq, fl_lay, rhs_seq);
generate_dot_product(dst, expect, fl_lay, lhs_seq, fl_lay, rhs_seq);
}
void generate_dot_product(TestBuilder &dst) {
generate_dot_product(dst, ((2 * 7) + (3 * 11) + (5 * 13)), {x(3)},
Seq({ 2, 3, 5 }),
Seq({ 7, 11, 13 }));
}
//-----------------------------------------------------------------------------
void generate_xw_product(TestBuilder &dst) {
auto matrix = spec({x(2),y(3)}, Seq({ 3, 5, 7, 11, 13, 17 }));
auto fmatrix = spec(float_cells({x(2),y(3)}), Seq({ 3, 5, 7, 11, 13, 17 }));
dst.add("reduce(a*b,sum,x)", {{"a", spec(x(2), Seq({ 1, 2 }))}, {"b", matrix}},
spec(y(3), Seq({(1*3+2*11),(1*5+2*13),(1*7+2*17)})));
dst.add("reduce(a*b,sum,x)",
{{"a", spec(float_cells({x(2)}), Seq({ 1, 2 }))}, {"b", matrix}},
spec(y(3), Seq({(1*3+2*11),(1*5+2*13),(1*7+2*17)})));
dst.add("reduce(a*b,sum,x)", {{"a", spec(x(2), Seq({ 1, 2 }))}, {"b", fmatrix}},
spec(y(3), Seq({(1*3+2*11),(1*5+2*13),(1*7+2*17)})));
dst.add("reduce(a*b,sum,x)",
{{"a", spec(float_cells({x(2)}), Seq({ 1, 2 }))}, {"b", fmatrix}},
spec(float_cells({y(3)}), Seq({(1*3+2*11),(1*5+2*13),(1*7+2*17)})));
dst.add("reduce(a*b,sum,y)", {{"a", spec(y(3), Seq({ 1, 2, 3 }))}, {"b", matrix}},
spec(x(2), Seq({(1*3+2*5+3*7),(1*11+2*13+3*17)})));
}
//-----------------------------------------------------------------------------
void generate_tensor_concat(TestBuilder &dst) {
dst.add("concat(a,b,x)", {{"a", spec(10.0)}, {"b", spec(20.0)}}, spec(x(2), Seq({10.0, 20.0})));
dst.add("concat(a,b,x)", {{"a", spec(x(1), Seq({10.0}))}, {"b", spec(20.0)}}, spec(x(2), Seq({10.0, 20.0})));
dst.add("concat(a,b,x)", {{"a", spec(10.0)}, {"b", spec(x(1), Seq({20.0}))}}, spec(x(2), Seq({10.0, 20.0})));
dst.add("concat(a,b,x)", {{"a", spec(x(3), Seq({1.0, 2.0, 3.0}))}, {"b", spec(x(2), Seq({4.0, 5.0}))}},
spec(x(5), Seq({1.0, 2.0, 3.0, 4.0, 5.0})));
dst.add("concat(a,b,y)", {{"a", spec({x(2),y(2)}, Seq({1.0, 2.0, 3.0, 4.0}))}, {"b", spec(y(2), Seq({5.0, 6.0}))}},
spec({x(2),y(4)}, Seq({1.0, 2.0, 5.0, 6.0, 3.0, 4.0, 5.0, 6.0})));
dst.add("concat(a,b,x)", {{"a", spec({x(2),y(2)}, Seq({1.0, 2.0, 3.0, 4.0}))}, {"b", spec(x(2), Seq({5.0, 6.0}))}},
spec({x(4),y(2)}, Seq({1.0, 2.0, 3.0, 4.0, 5.0, 5.0, 6.0, 6.0})));
dst.add("concat(a,b,x)", {{"a", spec(z(3), Seq({1.0, 2.0, 3.0}))}, {"b", spec(y(2), Seq({4.0, 5.0}))}},
spec({x(2),y(2),z(3)}, Seq({1.0, 2.0, 3.0, 1.0, 2.0, 3.0, 4.0, 4.0, 4.0, 5.0, 5.0, 5.0})));
dst.add("concat(a,b,x)", {{"a", spec(y(2), Seq({1.0, 2.0}))}, {"b", spec(y(2), Seq({4.0, 5.0}))}},
spec({x(2), y(2)}, Seq({1.0, 2.0, 4.0, 5.0})));
dst.add("concat(concat(a,b,x),concat(c,d,x),y)", {{"a", spec(1.0)}, {"b", spec(2.0)}, {"c", spec(3.0)}, {"d", spec(4.0)}},
spec({x(2), y(2)}, Seq({1.0, 3.0, 2.0, 4.0})));
dst.add("concat(a,b,x)",
{{"a", spec(float_cells({x(1)}), Seq({10.0}))}, {"b", spec(20.0) }},
spec(float_cells({x(2)}), Seq({10.0, 20.0})));
dst.add("concat(a,b,x)",
{{"a", spec(10.0)}, {"b", spec(float_cells({x(1)}), Seq({20.0}))}},
spec(float_cells({x(2)}), Seq({10.0, 20.0})));
dst.add("concat(a,b,x)",
{
{"a", spec(float_cells({x(3)}), Seq({1.0, 2.0, 3.0})) },
{"b", spec(x(2), Seq({4.0, 5.0})) }
},
spec(x(5), N()));
dst.add("concat(a,b,x)",
{
{"a", spec(x(3), Seq({1.0, 2.0, 3.0}))},
{"b", spec(float_cells({x(2)}), Seq({4.0, 5.0}))}
},
spec(x(5), N()));
dst.add("concat(a,b,x)",
{
{"a", spec(float_cells({x(3)}), Seq({1.0, 2.0, 3.0})) },
{"b", spec(float_cells({x(2)}), Seq({4.0, 5.0})) }
},
spec(float_cells({x(5)}), N()));
}
//-----------------------------------------------------------------------------
void generate_tensor_rename(TestBuilder &dst) {
dst.add("rename(a,x,y)", {{"a", spec(x(5), N())}}, spec(y(5), N()));
dst.add("rename(a,y,x)", {{"a", spec({y(5),z(5)}, N())}}, spec({x(5),z(5)}, N()));
dst.add("rename(a,z,x)", {{"a", spec({y(5),z(5)}, N())}}, spec({y(5),x(5)}, N()));
dst.add("rename(a,x,z)", {{"a", spec({x(5),y(5)}, N())}}, spec({z(5),y(5)}, N()));
dst.add("rename(a,y,z)", {{"a", spec({x(5),y(5)}, N())}}, spec({x(5),z(5)}, N()));
dst.add("rename(a,y,z)", {{"a", spec(float_cells({x(5),y(5)}), N())}}, spec(float_cells({x(5),z(5)}), N()));
dst.add("rename(a,(x,y),(y,x))", {{"a", spec({x(5),y(5)}, N())}}, spec({y(5),x(5)}, N()));
}
//-----------------------------------------------------------------------------
void generate_tensor_lambda(TestBuilder &dst) {
dst.add("tensor(x[10])(x+1)", {{}}, spec(x(10), N()));
dst.add("tensor<float>(x[5],y[4])(x*4+(y+1))", {{}}, spec(float_cells({x(5),y(4)}), N()));
dst.add("tensor(x[5],y[4])(x*4+(y+1))", {{}}, spec({x(5),y(4)}, N()));
dst.add("tensor(x[5],y[4])(x==y)", {{}}, spec({x(5),y(4)},
Seq({ 1.0, 0.0, 0.0, 0.0,
0.0, 1.0, 0.0, 0.0,
0.0, 0.0, 1.0, 0.0,
0.0, 0.0, 0.0, 1.0,
0.0, 0.0, 0.0, 0.0})));
}
//-----------------------------------------------------------------------------
void
Generator::generate(TestBuilder &dst)
{
generate_tensor_reduce(dst);
generate_tensor_map(dst);
generate_tensor_join(dst);
generate_dot_product(dst);
generate_xw_product(dst);
generate_tensor_concat(dst);
generate_tensor_rename(dst);
generate_tensor_lambda(dst);
}
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