211 lines
8.9 KiB
C++
211 lines
8.9 KiB
C++
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/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com, created on 07.10.2017.
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// @author GS <sgazeos@gmail.com>, modified
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// @author Yurii Shyrma (iuriish@yahoo.com), fully rewritten
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//
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#include <op_boilerplate.h>
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#if NOT_EXCLUDED(OP_matmul)
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#include <ops/declarable/CustomOperations.h>
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#include <MmulHelper.h>
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namespace nd4j {
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namespace ops {
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CUSTOM_OP_IMPL(matmul, 2, 1, false, 0, -2) {
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auto x = INPUT_VARIABLE(0);
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auto y = INPUT_VARIABLE(1);
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auto z = OUTPUT_VARIABLE(0);
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const int iSize = (int) block.getIArguments()->size();
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int transX = iSize > 0 ? INT_ARG(0) : 0;
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int transY = iSize > 1 ? INT_ARG(1) : 0;
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const int transZ = iSize > 2 ? INT_ARG(2) : 0;
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const int xRank = x->rankOf();
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const int yRank = y->rankOf();
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const int zRank = z->rankOf();
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if (transZ) {
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x = INPUT_VARIABLE(1);
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y = INPUT_VARIABLE(0);
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bool temp = transX;
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transX = !transY;
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transY = !temp;
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}
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const int xLastDim = transX ? -2 : -1;
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const int yLastDim = transY ? -2 : -1;
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const int xLastButOneDim = transX ? -1 : -2;
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const int yLastButOneDim = transY ? -1 : -2;
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// ******* input validation ******* //
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REQUIRE_TRUE(xRank > 0 && yRank > 0, 0,
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"MATMUL OP: input arrays must have rank bigger than 0 (should not be scalars), but got instead: x rank = %i, y rank = %i !",
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xRank, yRank);
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if (xRank == 1 && yRank == 1) { // dot case, output is scalar (or vector with length = 1)
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REQUIRE_TRUE(x->lengthOf() == y->lengthOf(), 0,
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"MATMUL OP: since input arrays are vectors they must have the same length, but got x length = %i, y length = %i !",
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x->lengthOf(), y->lengthOf());
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} else if (xRank == 1 && yRank == 2) { // vector x matrix, i.e. [4] x [4,5] = [5], output is vector
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REQUIRE_TRUE(x->lengthOf() == y->sizeAt(yLastButOneDim), 0,
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"MATMUL OP: input arrays have inconsistent shapes for vector-matrix product: x %s, y %s !",
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ShapeUtils::shapeAsString(x).c_str(), ShapeUtils::shapeAsString(y).c_str());
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} else if (xRank == 2 && yRank == 1) { // matrix x vector , i.e. [4,5] x [5] = [4], output is vector
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REQUIRE_TRUE(x->sizeAt(xLastDim) == y->lengthOf(), 0,
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"MATMUL OP: input arrays have inconsistent shapes for matrix-vector product: x %s, y %s !",
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ShapeUtils::shapeAsString(x).c_str(), ShapeUtils::shapeAsString(y).c_str());
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} else {
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REQUIRE_TRUE(xRank == yRank && yRank == zRank, 0,
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"MATMUL OP: input and output arrays must have the same rank, but got instead: x rank = %i, y rank = %i, z rank = %i !",
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xRank, yRank, zRank);
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REQUIRE_TRUE(x->sizeAt(xLastDim) == y->sizeAt(yLastButOneDim) &&
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x->sizeAt(xLastButOneDim) == z->sizeAt(-2) && y->sizeAt(yLastDim) == z->sizeAt(-1), 0,
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"MATMUL OP: input/output arrays have inconsistent shapes for matrix product: x %s, y %s, z %s !",
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ShapeUtils::shapeAsString(x).c_str(), ShapeUtils::shapeAsString(y).c_str(),
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ShapeUtils::shapeAsString(z).c_str());
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if (xRank > 2) // outer dims must be the same
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for (int i = 0; i < xRank - 2; ++i)
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REQUIRE_TRUE(x->sizeAt(i) == y->sizeAt(i) && y->sizeAt(i) == z->sizeAt(i), 0,
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"MATMUL OP: input/output arrays have inconsistent shapes for matrix product: x %s, y %s, z %s !",
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ShapeUtils::shapeAsString(x).c_str(), ShapeUtils::shapeAsString(y).c_str(),
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ShapeUtils::shapeAsString(z).c_str());
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}
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// ******* end of input validation ******* //
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MmulHelper::matmul(x, y, z, transX, transY);
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return Status::OK();
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}
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DECLARE_SYN(mMul, matmul);
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DECLARE_SYN(mmul, matmul);
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DECLARE_SYN(gemm, matmul);
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DECLARE_SYN(gemv, matmul);
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DECLARE_SYN(dot, matmul);
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DECLARE_SHAPE_FN(matmul) {
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auto xShapeInfo = inputShape->at(0);
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auto yShapeInfo = inputShape->at(1);
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const int iSize = (int) block.getIArguments()->size();
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int transX = iSize > 0 ? INT_ARG(0) : 0;
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int transY = iSize > 1 ? INT_ARG(1) : 0;
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const int transZ = iSize > 2 ? INT_ARG(2) : 0;
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REQUIRE_TRUE(xShapeInfo[0] > 0 && yShapeInfo[0] > 0, 0,
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"MATMUL OP: input arrays must have rank bigger than 0 (should not be scalars), but got instead: x rank = %i, y rank = %i !",
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xShapeInfo[0], yShapeInfo[0]);
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if (transZ) {
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xShapeInfo = inputShape->at(1);
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yShapeInfo = inputShape->at(0);
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bool temp = transX;
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transX = !transY;
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transY = !temp;
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}
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auto zShapeOnly = ShapeUtils::evalShapeForMatmul(xShapeInfo, yShapeInfo, transX, transY);
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auto dtypeX = ArrayOptions::dataType(xShapeInfo);
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auto dtypeY = ArrayOptions::dataType(yShapeInfo);
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auto xOrder = shape::order(xShapeInfo);
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auto yOrder = shape::order(yShapeInfo);
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auto zOrder = xOrder == 'c' && yOrder == 'c' ? 'c' : 'f';
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// we just pick the higher data type out of X and Y
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auto dtypeZ = dtypeX > dtypeY ? dtypeX : dtypeY;
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auto newShape = ConstantShapeHelper::getInstance()->createShapeInfo(dtypeZ, zOrder, zShapeOnly);
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return SHAPELIST(newShape);
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}
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DECLARE_TYPES(matmul) {
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getOpDescriptor()
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->setAllowedInputTypes(0, {ALL_FLOATS})
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->setAllowedInputTypes(1, {ALL_FLOATS})
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->setAllowedOutputTypes(0, {ALL_FLOATS});
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}
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CUSTOM_OP_IMPL(matmul_bp, 3, 2, false, 0, -2) {
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auto x = INPUT_VARIABLE(0);
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auto y = INPUT_VARIABLE(1);
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auto eps = INPUT_VARIABLE(2);
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auto dldx = OUTPUT_VARIABLE(0);
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auto dldy = OUTPUT_VARIABLE(1);
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const int iSize = (int) block.getIArguments()->size();
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int transX = iSize > 0 ? INT_ARG(0) : 0;
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int transY = iSize > 1 ? INT_ARG(1) : 0;
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const int transZ = iSize > 2 ? INT_ARG(2) : 0;
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/*
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In: x=[a,b], y=[b,c]
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tX tY tZ x y z dz dLdx dLdy
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F F F [a,b] [b,c] [a,c] [a,c] [a,c]*[b,c]T = [a,b] x*yT [a,b]T*[a,c] = [b,c] xT*y
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T F F [b,a] [b,c] [a,c] [a,c] ([a,c]*[b,c]T)T = [b,a] (x*yT)T [b,a]*[a,c] = [b,c] x*y
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F T F [a,b] [c,b] [a,c] [a,c] ([a,c]*[c,b]) = [a,b] x*y [a,b]T*[a,c] = [b,c] ->T xT*y
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T T F [b,a] [c,b] [a,c] [a,c] ([a,c]*[c,b])T = [b,a] (x*y)T [b,a]*[a,c] = [b,c] ->T x*y
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F F T [a,b] [b,c] [c,a] [c,a]
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*/
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nd4j::ops::matmul op;
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op.execute({eps, y}, {dldx}, {}, {transZ, !transY, transX}, {});
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op.execute({x, eps}, {dldy}, {}, {!transX, transZ, transY}, {});
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return Status::OK();
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}
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DECLARE_SHAPE_FN(matmul_bp) {
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Nd4jLong *xShapeInfo;
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Nd4jLong *yShapeInfo;
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COPY_SHAPE(inputShape->at(0), xShapeInfo);
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COPY_SHAPE(inputShape->at(1), yShapeInfo);
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return SHAPELIST(CONSTANT(xShapeInfo), CONSTANT(yShapeInfo));
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}
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DECLARE_TYPES(matmul_bp) {
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getOpDescriptor()
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->setAllowedInputTypes(0, {ALL_FLOATS})
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->setAllowedInputTypes(1, {ALL_FLOATS})
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->setAllowedInputTypes(2, {ALL_FLOATS})
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->setAllowedOutputTypes(0, {ALL_FLOATS})
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->setAllowedOutputTypes(1, {ALL_FLOATS});
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}
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}
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}
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#endif
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