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Updated python and cpp end to end test and readme to show support for different types on tensor

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This commit is contained in:
Alejandro Saucedo 2021-03-07 12:16:25 +00:00
parent 6a7f410675
commit 8abb2313d0
4 changed files with 39 additions and 27 deletions
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18
test/TestMultipleAlgoExecutions.cpp
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@ -8,10 +8,12 @@ TEST(TestMultipleAlgoExecutions, TestEndToEndFunctionality)
kp::Manager mgr;
// Default tensor constructor simplifies creation of float values
auto tensorInA = mgr.tensor({ 2., 2., 2. });
auto tensorInB = mgr.tensor({ 1., 2., 3. });
auto tensorOutA = mgr.tensor({ 0., 0., 0. });
auto tensorOutB = mgr.tensor({ 0., 0., 0. });
// Explicit type constructor supports int, in32, double, float and int
auto tensorOutA = mgr.tensorT<uint32_t>({ 0, 0, 0 });
auto tensorOutB = mgr.tensorT<uint32_t>({ 0, 0, 0 });
std::string shader = (R"(
#version 450
@ -21,8 +23,8 @@ TEST(TestMultipleAlgoExecutions, TestEndToEndFunctionality)
// The input tensors bind index is relative to index in parameter passed
layout(set = 0, binding = 0) buffer buf_in_a { float in_a[]; };
layout(set = 0, binding = 1) buffer buf_in_b { float in_b[]; };
layout(set = 0, binding = 2) buffer buf_out_a { float out_a[]; };
layout(set = 0, binding = 3) buffer buf_out_b { float out_b[]; };
layout(set = 0, binding = 2) buffer buf_out_a { uint out_a[]; };
layout(set = 0, binding = 3) buffer buf_out_b { uint out_b[]; };
// Kompute supports push constants updated on dispatch
layout(push_constant) uniform PushConstants {
@ -34,8 +36,8 @@ TEST(TestMultipleAlgoExecutions, TestEndToEndFunctionality)
void main() {
uint index = gl_GlobalInvocationID.x;
out_a[index] += in_a[index] * in_b[index];
out_b[index] += const_one * push_const.val;
out_a[index] += uint( in_a[index] * in_b[index] );
out_b[index] += uint( const_one * push_const.val );
}
)");
@ -64,8 +66,8 @@ TEST(TestMultipleAlgoExecutions, TestEndToEndFunctionality)
sq->evalAwait();
EXPECT_EQ(tensorOutA->vector(), std::vector<float>({ 4, 8, 12 }));
EXPECT_EQ(tensorOutB->vector(), std::vector<float>({ 10, 10, 10 }));
EXPECT_EQ(tensorOutA->vector(), std::vector<uint32_t>({ 4, 8, 12 }));
EXPECT_EQ(tensorOutB->vector(), std::vector<uint32_t>({ 10, 10, 10 }));
}
TEST(TestMultipleAlgoExecutions, SingleSequenceRecord)