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jetpacapp / DeepBeliefSDK

The SDK for Jetpac's iOS Deep Belief image recognition framework
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can opengl acceleration path work #17

Open CFAndy opened 10 years ago

CFAndy commented 10 years ago

Hi Pete, Is the opengl acceleration path in libjpcnn workable? I tried it and failed on following error message with jetpack.ntwk and dog.jpg. Can the issue be fixed? Calling gl_gemm_fixed() m=96, n=3000, inputK=363 Compiling 16-bit shader aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 24, 1), bDims=(3000, 24, 1) aDims=(96, 3, 1), bDims=(3000, 3, 1) Assertion failed: (virtualWidth % elementsPerPixel) == 0, file c:\deepbeliefsdk-gh-pages\sour ce\src\lib\opengl\glgemm.cpp, line 1005 The HW is HSW integrated gfx. Thanks! -Andy

petewarden commented 10 years ago

I don't believe the OpenGL GEMM is fully complete, at least for non-float buffers like those in jetpac.ntwk. There is an alternative implementation using WebGL's slightly different shader language in the Javascript section.

CFAndy commented 10 years ago

force load buffer into fp32 and add a missed program->clearInputBuffers(); it can work. it can give same detection result as MKL on my HSW desktop. That's great.