mlprodict/bin/debug/debug.cpp at master · sdpython/mlprodict · GitHub

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// debug.cpp : Ce fichier contient la fonction 'main'. L'exécution du programme commence et se termine à cet endroit.

#include "op_conv_matrices_.hpp"

#include "op_qlinear_conv_.hpp"

#include "op_qlinear_cpp_qgemm_tester_.hpp"

#include "op_qlinear_cpp_tester_.hpp"

#include "experimental_c.h"

void test_qlinear_conv1() {

QLinearConv<uint8_t, float> conv_mistyped;

QLinearConv<uint8_t, uint8_t, uint8_t> conv;

const std::string auto_pad = "NOTSET";

std::vector<int64_t> dilations;

std::vector<int64_t> kernel_shape;

std::vector<int64_t> pads;

std::vector<int64_t> strides;

conv.init(auto_pad, dilations, 1, kernel_shape, pads, strides);

shaped_array_t<uint8_t> x({

255, 174, 162, 25, 203, 168, 58,

15, 59, 237, 95, 129, 0, 64,

56, 242, 153, 221, 168, 12, 166,

232, 178, 186, 195, 237, 162, 237,

188, 39, 124, 77, 80, 102, 43,

127, 230, 21, 83, 41, 40, 134,

255, 154, 92, 141, 42, 148, 247 },

{ 1, 1, 7, 7 });

float x_scale = (float)0.00369204697;

uint8_t x_zero_point = 132;

shaped_array_t<uint8_t> w({ 0 }, { 1, 1, 1, 1 });

shaped_array_t<float> w_scale({ (float)0.00172794575 }, {});

uint8_t w_zero_point = 255;

float y_scale = (float)0.00162681262;

uint8_t y_zero_point = 123;

shaped_array_t<int32_t> B;

shaped_array_t<uint8_t> output({

0, 81, 93, 230, 52, 87, 197,

240, 196, 18, 160, 126, 255, 191,

199, 13, 102, 34, 87, 243, 89,

23, 77, 69, 60, 18, 93, 18,

67, 216, 131, 178, 175, 153, 212,

128, 25, 234, 172, 214, 215, 121,

0, 101, 163, 114, 213, 107, 8 },

{ 1, 1, 7, 7 });

shaped_array_t<uint8_t> res = conv.compute(

x, x_scale, x_zero_point, w, w_scale, w_zero_point, y_scale, y_zero_point, B);

if (!res.equal(output))

throw std::runtime_error("failed");

}

void test_qlinear_qgemm() {

TestQGemm0();

TestQGemm1();

test_qlinear_qgemm_ii();

test_qlinear_qgemm_ui();

test_qlinear_qgemm_if();

test_qlinear_qgemm_uf();

}

void test_qlinear_conv2(bool random) {

test_qlinear_conv_Conv1D_U8S8_Groups(random);

test_qlinear_conv_Conv1D_U8S8(random);

test_qlinear_conv_Conv1D_U8S8_Groups(random);

test_qlinear_conv_Conv2D_U8S8(random);

test_qlinear_conv_Conv3D_U8S8(random);

test_qlinear_conv_Conv1D_U8S8_Pointwise(random);

test_qlinear_conv_Conv2D_U8S8_Pointwise(random);

test_qlinear_conv_Conv2D_U8U8_Pointwise(random);

test_qlinear_conv_Conv3D_U8S8_Pointwise(random);

test_qlinear_conv_Conv1D_U8S8_Dilations(random);

test_qlinear_conv_Conv2D_U8S8_Dilations(random);

test_qlinear_conv_Conv3D_U8S8_Dilations(random);

test_qlinear_conv_Conv1D_U8S8_Strides(random);

test_qlinear_conv_Conv2D_U8S8_Strides(random);

test_qlinear_conv_Conv3D_U8S8_Strides(random);

test_qlinear_conv_Conv1D_U8S8_Depthwise(random);

test_qlinear_conv_Conv2D_U8S8_Depthwise(random);

test_qlinear_conv_Conv2D_U8U8_Depthwise(random);

test_qlinear_conv_Conv2D_U8S8_DepthwisePointwise(random);

test_qlinear_conv_Conv3D_U8S8_Depthwise(random);

test_qlinear_conv_Conv2D_U8S8_Requantize_NoBias(random);

test_qlinear_conv_Conv2D_U8S8_Requantize_Bias(random);

test_qlinear_conv_Conv2D_U8S8_Requantize_Bias_PerChannel(random);

test_qlinear_conv_Conv2D_U8S8_Groups_Pointwise(random);

test_qlinear_conv_Conv3D_U8S8_Groups_Pointwise(random);

test_qlinear_conv_Conv2D_U8S8_Groups(random);

test_qlinear_conv_Conv3D_U8S8_Groups(random);

test_qlinear_conv_Conv1D_U8S8_Groups(random);

test_qlinear_conv_Conv2D_U8S8_Groups_PerChannel(random);

}

int main() {

experimental_ut_add();

experimental_ut_einsum();

experimental_ut_reduce();

TestQGemm0();

TestQGemm1();

test_qlinear_conv2(false);

test_qlinear_conv2(true);

test_qlinear_conv1();

test_qlinear_qgemm();

}

mlprodict/bin/debug/debug.cpp at master · sdpython/mlprodict · GitHub

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