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weblas

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GPU accelerated BLAS for node and the browser

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var tape = require('tape'), weblas = require('../index'), loader = require('floader'); // browserify aware file loader (xhr in browser) weblas.test = require('../lib/test'); /* run in a browser with testling browserify test/*.js | testling -x google-chrome on Ubuntu, requires sudo apt-get install xvfb */ var RTOL = 1e-05, ATOL = 1e-12; var dataDirectory = 'test/data/sgemm/', testFile = 'small.json'; function single(){ tape("1x1 . 1x4", function(t){ t.plan(1); var alpha = 1.0, beta = 1.0, A = new Float32Array([1.0]), B = new Float32Array([1.0, 1.0, 1.0, 1.0]), C = new Float32Array([2.0, 2.0, 2.0, 2.0]), expected = new Float32Array([3.0, 3.0, 3.0, 3.0]); var t0 = new weblas.pipeline.Tensor([1, 1], A), t1 = new weblas.pipeline.Tensor([4, 1], B), t2 = new weblas.pipeline.Tensor([1, 4], C); try{ t3 = weblas.pipeline.sgemm(alpha, t0, t1, beta, t2); // get the result, but retain the texture (for padding check) result = t3.transfer(true); //console.log(result.slice(0, 6)); } catch(ex){ t.assert(false, ex); return; } weblas.test.assert.allclose(t, result, expected, null, RTOL, ATOL); t0.delete(); t1.delete(); t2.delete(); }); } var matrixFiles = ['a.arr', 'b.arr', 'out.arr']; function generateTestCase(prefix, m, n, k, alpha){ return function(t){ var pad = weblas.gpu.gl.getPad(n); if(pad == 0){ t.plan(1); } else { t.plan(2); } var A, B, expected; // typed arrays // directory containing matrix data files for current test var testDirectory = dataDirectory + prefix + '/'; // load matrices from files weblas.test.load(testDirectory, matrixFiles, function(err, matrices){ // matrices is an array which matches matrixFiles var A = matrices[0], B = matrices[1], expected = matrices[2]; if(!(A && A.length && A.length == m * k && B && B.length && B.length == k * n && expected && expected.length && expected.length == m * n)){ throw new Error("malformed data"); } var t0 = new weblas.pipeline.Tensor([m, k], A), t1 = new weblas.pipeline.Tensor([n, k], weblas.util.transpose(k, n, B)), t3; //console.log(m + "x" + k + " times " + k + "x" + n); try{ t3 = weblas.pipeline.sgemm(alpha, t0, t1, null, null); // get the result, but retain the texture (for padding check) result = t3.transfer(true); //console.log(result.slice(0, 6)); } catch(ex){ t.assert(false, ex); return; } weblas.test.assert.allclose(t, result, expected, null, RTOL, ATOL); if(pad > 0){ // use internals to check that texture is padded correctly var padded; try{ padded = weblas.test.padData(m, n, pad, expected); out = weblas.gpu.gl.createOutputTexture(m, n + pad); // float extraction weblas.gpu.encode(m, n + pad, t3.texture, out); result = new Float32Array(weblas.gpu.gl.readData(m, n + pad)); weblas.gpu.gl.context.deleteTexture(out); } catch(ex){ t.assert(false, ex); } weblas.test.assert.allclose(t, result, padded, null, RTOL, ATOL); } t0.delete(); t1.delete(); t3.delete(); }); }; } var extendedMatrixFiles = ['a.arr', 'b.arr', 'c.arr', 'out.arr']; function generateExtendedTestCase(prefix, m, n, k, alpha, beta, transposed){ return function(t){ var pad = weblas.gpu.gl.getPad(n); if(pad == 0){ t.plan(1); } else { t.plan(2); } var A, B, C, expected; // typed arrays // directory containing matrix data files for current test var testDirectory = dataDirectory + prefix + '/'; // load matrices from files weblas.test.load(testDirectory, extendedMatrixFiles, function(err, matrices){ // matrices is an array which matches matrixFiles var A = matrices[0], B = matrices[1], C = matrices[2], expected = matrices[3]; if(!(A && A.length && A.length == m * k && B && B.length && B.length == k * n && expected && expected.length && expected.length == m * n)){ throw new Error("malformed data"); } var t0 = new weblas.pipeline.Tensor([m, k], A), t1 = new weblas.pipeline.Tensor([n, k], transposed ? B : weblas.util.transpose(k, n, B)), t2 = new weblas.pipeline.Tensor([1, n], C), t3; //console.log(m + "x" + k + " times " + k + "x" + n); try{ t3 = weblas.pipeline.sgemm(alpha, t0, t1, beta, t2); // get the result, but retain the texture (for padding check) result = t3.transfer(true); } catch(ex){ t.assert(false, ex); return; } var ok; ok = weblas.test.assert.allclose(t, result, expected, null, RTOL, ATOL); /* if(!ok && download){ // dump result console.log("dumping result"); download(result, "result.arr", "application/octet-stream"); }*/ if(pad > 0){ var padded; try{ padded = weblas.test.padData(m, n, pad, expected); out = weblas.gpu.gl.createOutputTexture(m, n + pad); // float extraction weblas.gpu.encode(m, n + pad, t3.texture, out); result = new Float32Array(weblas.gpu.gl.readData(m, n + pad)); weblas.gpu.gl.context.deleteTexture(out); } catch(ex){ t.assert(false, ex); return; } weblas.test.assert.allclose(t, result, padded, null, RTOL, ATOL); } t0.delete(); t1.delete(); t2.delete(); t3.delete(); }); }; } loader.load(dataDirectory + testFile, function(err, config){ single(); var suite = JSON.parse(config); // suite configuration file uses directory name as key for(var i = 0; i < suite.length; i++){ directory = String("0000" + (i + 1)).slice(-4); var test = suite[i]; var input = test['in'], arg = test['arg'] || {}; // get base matrix dimensions var m1 = input[0]['shape'][0], n1 = input[0]['shape'][1], m2 = input[1]['shape'][0], n2 = input[1]['shape'][1]; var m = m1, transposed; // is the second matrix already transposed? if(n1 === m2){ transposed = false; k = m2; n = n2; } else if(n1 === n2){ transposed = true; k = n2; n = m2; } else { throw new Error("Matrices not compatible"); } var alpha = (arg['alpha'] != null) ? arg['alpha'] : 1.0, beta = (arg['beta'] != null) ? arg['beta'] : 1.0; var testName = "pipeline.sgemm: " + m + "x" + k + " . " + k + "x" + n; if(input.length == 2){ tape(testName, generateTestCase(directory, m, n, k, alpha, null, transposed)); } else { testName += " + 1x" + n; tape(testName, generateExtendedTestCase(directory, m, n, k, alpha, beta, transposed)); } } });