Updated logistic regression example

Signed-off-by: Fabian Sauter <sauter.fabian@mailbox.org>
This commit is contained in:
Fabian Sauter 2022-06-24 10:10:11 +02:00
parent 7d16b73d14
commit 4b9b6607d0
7 changed files with 142 additions and 124 deletions

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cmake_minimum_required(VERSION 3.15)
# To add more shaders simply copy the vulkan_compile_shader command and replace it with your new shader
vulkan_compile_shader(INFILE my_shader.comp
OUTFILE my_shader.hpp
NAMESPACE "shader"
RELATIVE_PATH "${kompute_SOURCE_DIR}/cmake")
# vulkan_compile_shader(INFILE my_shader2.comp
# OUTFILE my_shader2.hpp
# NAMESPACE "shader"
# RELATIVE_PATH "${kompute_SOURCE_DIR}/cmake")
# Then add it to the library, so you can access it later in your code
add_library(shader "${CMAKE_CURRENT_BINARY_DIR}/my_shader.hpp"
# "${CMAKE_CURRENT_BINARY_DIR}/my_shader2.hpp"
)
set_target_properties(shader PROPERTIES LINKER_LANGUAGE CXX)
target_include_directories(shader PUBLIC $<BUILD_INTERFACE:${CMAKE_CURRENT_BINARY_DIR}>)

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#version 450
layout (constant_id = 0) const uint M = 0;
layout (local_size_x = 1) in;
layout(set = 0, binding = 0) buffer bxi { float xi[]; };
layout(set = 0, binding = 1) buffer bxj { float xj[]; };
layout(set = 0, binding = 2) buffer by { float y[]; };
layout(set = 0, binding = 3) buffer bwin { float win[]; };
layout(set = 0, binding = 4) buffer bwouti { float wouti[]; };
layout(set = 0, binding = 5) buffer bwoutj { float woutj[]; };
layout(set = 0, binding = 6) buffer bbin { float bin[]; };
layout(set = 0, binding = 7) buffer bbout { float bout[]; };
layout(set = 0, binding = 8) buffer blout { float lout[]; };
float m = float(M);
float sigmoid(float z) {
return 1.0 / (1.0 + exp(-z));
}
float inference(vec2 x, vec2 w, float b) {
// Compute the linear mapping function
float z = dot(w, x) + b;
// Calculate the y-hat with sigmoid
float yHat = sigmoid(z);
return yHat;
}
float calculateLoss(float yHat, float y) {
return -(y * log(yHat) + (1.0 - y) * log(1.0 - yHat));
}
void main() {
uint idx = gl_GlobalInvocationID.x;
vec2 wCurr = vec2(win[0], win[1]);
float bCurr = bin[0];
vec2 xCurr = vec2(xi[idx], xj[idx]);
float yCurr = y[idx];
float yHat = inference(xCurr, wCurr, bCurr);
float dZ = yHat - yCurr;
vec2 dW = (1. / m) * xCurr * dZ;
float dB = (1. / m) * dZ;
wouti[idx] = dW.x;
woutj[idx] = dW.y;
bout[idx] = dB;
lout[idx] = calculateLoss(yHat, yCurr);
}