MNN/test/expr/ReplaceTest.cpp

47 lines
1.4 KiB
C++
Raw Normal View History

- build: - unify schema building in core and converter; - add more build script for android; - add linux build script for python; - ops impl: - add floor mod support in binary; - use eltwise impl in add/max/sub/mul binary for optimization; - remove fake double support in cast; - fix 5d support for concat; - add adjX and adjY support for batch matmul; - optimize conv2d back prop filter; - add pad mode support for conv3d; - fix bug in conv2d & conv depthwise with very small feature map; - optimize binary without broacast; - add data types support for gather; - add gather ND support; - use uint8 data type in gather v2; - add transpose support for matmul; - add matrix band part; - add dim != 4 support for padding, reshape & tensor convert; - add pad type support for pool3d; - make ops based on TensorFlow Lite quantization optional; - add all & any support for reduction; - use type in parameter as output type in reduction; - add int support for unary; - add variable weight support for conv2d; - fix conv2d depthwise weights initialization; - fix type support for transpose; - fix grad outputs count for reduce grad and reshape grad; - fix priorbox & detection output; - fix metal softmax error; - python: - add runSessionWithCallBackInfo interface; - add max nodes limit (1400) for visualization tool; - fix save error in python3; - align default dim; - convert: - add extra design for optimization; - add more post converting optimizers; - add caffe v1 weights blob support; - add cast, unary, conv transpose support for onnx model; - optimize batchnorm, conv with variable weights, prelu, reshape, slice, upsample for onnx model; - add cos/sin/atan/tan support for unary for tensorflow model; - add any/all support for reduction for tensorflow model; - add elu, conv3d, pool3d support for tensorflow model; - optimize argmax, batchnorm, concat, batch to space, conv with variable weights, prelu, slice for tensorflow model; - others: - fix size computer lock; - fix thread pool deadlock; - add express & parameters in express; - rewrite blitter chooser without static map; - add tests for expr;
2019-10-29 13:37:26 +08:00
//
// ReplaceTest.cpp
// MNNTests
//
// Created by MNN on 2019/09/10.
// Copyright © 2018, Alibaba Group Holding Limited
//
#include "ExprCreator.hpp"
#include "MNNTestSuite.h"
using namespace MNN::Express;
class ReplaceTest : public MNNTestCase {
public:
virtual bool run() {
auto c1 = MNN::Express::_Const(1.f, {1, 1, 1, 1}, MNN::Express::NHWC);
auto c2 = MNN::Express::_Const(2.f, {1, 1, 1, 1}, MNN::Express::NHWC);
auto c3 = MNN::Express::_Const(3.f, {1, 1, 1, 1}, MNN::Express::NHWC);
auto c4 = MNN::Express::_Const(4.f, {1, 1, 1, 1}, MNN::Express::NHWC);
auto c5 = MNN::Express::_Const(5.f, {1, 1, 1, 1}, MNN::Express::NHWC);
auto b1 = MNN::Express::_Add(c1, c2);
auto b2 = MNN::Express::_Mul(c3, c4);
auto r1 = b1->readMap<float>();
if (3.0f != r1[0]) {
MNN_PRINT("1 + 2 = %f\n", r1[0]);
return false;
}
MNN::Express::Variable::replace(c2, b2);
auto r2 = b1->readMap<float>();
if (13.0f != r2[0]) {
MNN_PRINT("1 + 3 x 4 = %f\n", r2[0]);
return false;
}
MNN::Express::Variable::replace(c3, c5);
auto r3 = b1->readMap<float>();
if (21.0f != r3[0]) {
MNN_PRINT("1 + 5 x 4 = %f\n", r3[0]);
return false;
}
return true;
}
};
MNNTestSuiteRegister(ReplaceTest, "expr/Replace");