thek0tyara/llama-cpp-turboquant
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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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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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30
README.md
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@ -55,10 +55,13 @@ void kompute(const std::string& shader) {
kp::Manager mgr;
// 2. Create and initialise Kompute Tensors through manager
// 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 uint32, int32, double, float and bool
auto tensorOutA = mgr.tensorT<uint32_t>({ 0, 0, 0 });
auto tensorOutB = mgr.tensorT<uint32_t>({ 0, 0, 0 });
std::vector<std::shared_ptr<kp::Tensor>> params = {tensorInA, tensorInB, tensorOutA, tensorOutB};
@ -109,8 +112,8 @@ int main() {
// 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 {
@ -122,8 +125,8 @@ int main() {
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 );
}
)");
@ -144,10 +147,13 @@ def kompute(shader):
mgr = kp.Manager()
# 2. Create and initialise Kompute Tensors through manager
# Default tensor constructor simplifies creation of float values
tensor_in_a = mgr.tensor([2, 2, 2])
tensor_in_b = mgr.tensor([1, 2, 3])
tensor_out_a = mgr.tensor([0, 0, 0])
tensor_out_b = mgr.tensor([0, 0, 0])
# Explicit type constructor supports uint32, int32, double, float and bool
tensor_out_a = mgr.tensor_t(np.array([0, 0, 0], dtype=np.uint32))
tensor_out_b = mgr.tensor_t(np.array([0, 0, 0], dtype=np.uint32))
params = [tensor_in_a, tensor_in_b, tensor_out_a, tensor_out_b]
@ -194,8 +200,8 @@ if __name__ == "__main__":
// 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 {
@ -207,8 +213,8 @@ if __name__ == "__main__":
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 );
}
"""