/******************************************************************************* * Copyright (c) 2015-2018 Skymind, Inc. * * This program and the accompanying materials are made available under the * terms of the Apache License, Version 2.0 which is available at * https://www.apache.org/licenses/LICENSE-2.0. * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the * License for the specific language governing permissions and limitations * under the License. * * SPDX-License-Identifier: Apache-2.0 ******************************************************************************/ // // @author Yurii Shyrma (iuriish@yahoo.com) // @author Alex Black // #include #if NOT_EXCLUDED(OP_gruCell) #include #include namespace sd { namespace ops { ////////////////////////////////////////////////////////////////////////// CUSTOM_OP_IMPL(gruCell, 6, 4, false, 0, 0) { auto x = INPUT_VARIABLE(0); // input [bS, nIn], nIn - input size auto hLast = INPUT_VARIABLE(1); // previous cell output [bS, nU], that is at previous time step t-1, nU - number of units auto Wru = INPUT_VARIABLE(2); // RU weights - [nIn+nU, 2*nU] - reset and update gates (input/recurrent weights) auto Wc = INPUT_VARIABLE(3); // C weights - [nIn+nU, nU] - cell gate (input/recurrent weights) auto bru = INPUT_VARIABLE(4); // reset and update biases, [2*nU] - reset and update gates auto bc = INPUT_VARIABLE(5); // cell biases, [nU] auto r = OUTPUT_VARIABLE(0); // Reset gate output [bS, nU] auto u = OUTPUT_VARIABLE(1); // Update gate output [bS, nU] auto c = OUTPUT_VARIABLE(2); // Cell gate output [bS, nU] auto h = OUTPUT_VARIABLE(3); // current cell output [bS, nU] REQUIRE_TRUE(x->rankOf()==2 && hLast->rankOf()==2, 0, "gruCell: Input ranks must be 2 for inputs 0 and 1 (x, hLast) - got %i, %i", x->rankOf(), hLast->rankOf()); const int rank = x->rankOf(); const auto bS = x->sizeAt(0); const auto nIn = x->sizeAt(1); const auto nU = hLast->sizeAt(1); REQUIRE_TRUE(x->sizeAt(0) == hLast->sizeAt(0), 0, "gruCell: Input minibatch sizes (dimension 0) must be same for x and hLast"); REQUIRE_TRUE(Wru->rankOf()==2 && Wc->rankOf()==2, 0, "gruCell: weight arrays (Wru, Wc) arrays must be 2, got %i and %i", Wru->rankOf(), Wc->rankOf()); REQUIRE_TRUE(Wru->sizeAt(0)==(nIn+nU) && Wc->sizeAt(0)==(nIn+nU), 0, "gruCell: Weights size(0) must be equal to nIn + nU, got %i", Wru->sizeAt(0)); REQUIRE_TRUE(Wru->sizeAt(1)==(2*nU), 0, "gruCell: Weights (reset and update) size(1) must be equal to 2*nU, got %i", Wru->sizeAt(1)); REQUIRE_TRUE(Wc->sizeAt(1)==nU, 0, "gruCell: Weights (cell) size(1) must be equal to nU, got %i", Wc->sizeAt(1)); REQUIRE_TRUE(bru->rankOf()==1 && bru->sizeAt(0)==(2*nU), 0, "gruCell: reset/update biases must be rank 1, size 2*nU"); REQUIRE_TRUE(bc->rankOf()==1 && bc->sizeAt(0)==nU, 0, "gruCell: cell biases must be rank 1, size nU"); REQUIRE_TRUE(r->rankOf()==2 && u->rankOf()==2 && c->rankOf()==2 && h->rankOf()==2 && r->sizeAt(0)==bS && u->sizeAt(0)==bS && c->sizeAt(0)==bS && h->sizeAt(0)==bS && r->sizeAt(1)==nU && u->sizeAt(1)==nU && c->sizeAt(1)==nU && h->sizeAt(1)==nU, 0, "gruCell: Output arrays must all be rank 2 with size(0) == batchSize and size(1) == nU"); helpers::gruCell(block.launchContext(), x, hLast, Wru, Wc, bru, bc, r, u, c, h); return Status::OK(); } DECLARE_TYPES(gruCell) { getOpDescriptor() ->setAllowedInputTypes(0, sd::DataType::ANY) ->setAllowedInputTypes(1, {ALL_FLOATS}) ->setAllowedInputTypes(2, {ALL_FLOATS}) ->setAllowedInputTypes(3, {ALL_FLOATS}) ->setAllowedInputTypes(4, {ALL_FLOATS}) ->setAllowedOutputTypes({ALL_FLOATS}); } DECLARE_SHAPE_FN(gruCell) { auto x = inputShape->at(0); // input [bS x nIn] auto hLast = inputShape->at(1); // previous cell output [bS x nU], that is at previous time step t-1 auto Wru = inputShape->at(2); // RU weights - [(nIn+nU), 2*nU] - reset and update gates (input/recurrent weights) auto Wc = inputShape->at(3); // C weights - [(nIn+nU), nU] - cell gate (input/recurrent weights) auto bru = inputShape->at(4); // reset and update biases, [2*nU] - reset and update gates auto bc = inputShape->at(5); // cell biases, [nU] REQUIRE_TRUE(shape::rank(x)==2 && shape::rank(hLast)==2, 0, "gruCell: Input ranks must be 2 for inputs 0 and 1 (x, hLast) - got %i, %i", shape::rank(x), shape::rank(hLast)); const int rank = x[0]; const auto bS = x[1]; const auto nIn = x[2]; const auto nU = hLast[2]; REQUIRE_TRUE(x[1] == hLast[1], 0, "gruCell: Input minibatch sizes (dimension 0) must be same for x and hLast"); REQUIRE_TRUE(shape::rank(Wru)==2 && shape::rank(Wc)==2, 0, "gruCell: weight arrays (Wru, Wc) arrays must be 2, got %i and %i", shape::rank(Wru), shape::rank(Wc)); REQUIRE_TRUE(Wru[1]==(nIn+nU) && Wc[1]==(nIn+nU), 0, "gruCell: Weights size(0) must be equal to nIn + nU, got %i and %i", Wru[1], Wc[1]); REQUIRE_TRUE(Wru[2]==(2*nU), 0, "gruCell: Weights (reset and update) size(1) must be equal to 2*nU, got %i", Wru[2]); REQUIRE_TRUE(Wc[2]==nU, 0, "gruCell: Weights (cell) size(1) must be equal to nU, got %i", Wc[2]); REQUIRE_TRUE(shape::rank(bru)==1 && bru[1]==(2*nU), 0, "gruCell: reset/update biases must be rank 1, size 2*nU"); REQUIRE_TRUE(shape::rank(bc)==1 && bc[1]==nU, 0, "gruCell: cell biases must be rank 1, size nU"); Nd4jLong *s0(nullptr); ALLOCATE(s0, block.getWorkspace(), shape::shapeInfoLength(rank), Nd4jLong);// [bS x nU] s0[0] = rank; s0[1] = bS; s0[2] = nU; ShapeUtils::updateStridesAndType(s0, x, shape::order(hLast)); auto ts0 = ConstantShapeHelper::getInstance().createFromExisting(s0, block.workspace()); //4 output shapes, all [bs, nU] return SHAPELIST(ts0, ts0, ts0, ts0); } ////////////////////////////////////////////////////////////////////////// CUSTOM_OP_IMPL(gruCell_bp, 10, 6, false, 0, 0) { auto x = INPUT_VARIABLE(0); // input [bS x iS] auto hi = INPUT_VARIABLE(1); // previous cell output [bS x nU] auto W = INPUT_VARIABLE(2); // weights, [iS+nU x 2*nU] auto Wc = INPUT_VARIABLE(3); // c weights, [iS+nU x nU] auto b = INPUT_VARIABLE(4); // biases, [2*nU] auto bc = INPUT_VARIABLE(5); // biases, [nU] auto dLdr = INPUT_VARIABLE(6); // gradient wrt reset gate, [bS, nU] auto dLdu = INPUT_VARIABLE(7); // gradient wrt update gate, [bS, nU] auto dLdc = INPUT_VARIABLE(8); // gradient wrt cell state, [bS, nU] auto dLdh = INPUT_VARIABLE(9); // gradient wrt current cell output, [bS, nU] auto dLdx = OUTPUT_VARIABLE(0); // gradient wrt x, [bS, iS] auto dLdhi = OUTPUT_VARIABLE(1); // gradient wrt hi, [bS, nU] auto dLdW = OUTPUT_VARIABLE(2); // gradient wrt W, [iS+nU x 2*nU] auto dLdWc = OUTPUT_VARIABLE(3); // gradient wrt Wc, [iS+nU x nU] auto dLdb = OUTPUT_VARIABLE(4); // gradient wrt biases, [2*nU] auto dLdbc = OUTPUT_VARIABLE(5); // gradient wrt c biases, [nU] const Nd4jLong bS = x->sizeAt(0); const Nd4jLong iS = x->sizeAt(1); const Nd4jLong nU = hi->sizeAt(1); REQUIRE_TRUE(x->rankOf() == 2, 0, "GRU_CELL_BP: rank of input array x must be 2, but got %i instead", x->rankOf()); const std::vector hiCorrectShape = {bS, nU}; const std::vector wCorrectShape = {iS+nU, 2*nU}; const std::vector wcCorrectShape = {iS+nU, nU}; const std::vector bCorrectShape = {2*nU}; const std::vector bcCorrectShape = {nU}; REQUIRE_TRUE(hi->isSameShape(hiCorrectShape), 0, "GRU_CELL_BP op: wrong shape of previous cell output array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(hiCorrectShape).c_str(), ShapeUtils::shapeAsString(hi).c_str()); REQUIRE_TRUE(W->isSameShape(wCorrectShape), 0, "GRU_CELL_BP op: wrong shape of weights array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(wCorrectShape).c_str(), ShapeUtils::shapeAsString(W).c_str()); REQUIRE_TRUE(Wc->isSameShape(wcCorrectShape), 0, "GRU_CELL_BP op: wrong shape of c weights array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(wcCorrectShape).c_str(), ShapeUtils::shapeAsString(Wc).c_str()); REQUIRE_TRUE(b->isSameShape(bCorrectShape), 0, "GRU_CELL_BP op: wrong shape of biases array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(bCorrectShape).c_str(), ShapeUtils::shapeAsString(b).c_str()); REQUIRE_TRUE(bc->isSameShape(bcCorrectShape), 0, "GRU_CELL_BP op: wrong shape of c biases array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(bcCorrectShape).c_str(), ShapeUtils::shapeAsString(bc).c_str()); REQUIRE_TRUE(dLdr->isSameShape(hiCorrectShape), 0, "GRU_CELL_BP op: wrong shape of dLdr array (gradient wrt reset gate), expected is %s, but got %s instead !", ShapeUtils::shapeAsString(hiCorrectShape).c_str(), ShapeUtils::shapeAsString(dLdr).c_str()); REQUIRE_TRUE(dLdu->isSameShape(hiCorrectShape), 0, "GRU_CELL_BP op: wrong shape of dLdu array (gradient wrt update gate), expected is %s, but got %s instead !", ShapeUtils::shapeAsString(hiCorrectShape).c_str(), ShapeUtils::shapeAsString(dLdu).c_str()); REQUIRE_TRUE(dLdc->isSameShape(hiCorrectShape), 0, "GRU_CELL_BP op: wrong shape of dLdc array (gradient wrt cell state), expected is %s, but got %s instead !", ShapeUtils::shapeAsString(hiCorrectShape).c_str(), ShapeUtils::shapeAsString(dLdc).c_str()); REQUIRE_TRUE(dLdh->isSameShape(hiCorrectShape), 0, "GRU_CELL_BP op: wrong shape of dLdh array (gradient wrt current cell output), expected is %s, but got %s instead !", ShapeUtils::shapeAsString(hiCorrectShape).c_str(), ShapeUtils::shapeAsString(dLdh).c_str()); helpers::gruCellBp(block.launchContext(), x, hi, W, Wc, b, bc, dLdr, dLdu, dLdc, dLdh, dLdx, dLdhi, dLdW, dLdWc, dLdb, dLdbc); return Status::OK(); } DECLARE_TYPES(gruCell_bp) { getOpDescriptor() ->setAllowedInputTypes(0, sd::DataType::ANY) ->setAllowedInputTypes(1, {ALL_FLOATS}) ->setAllowedInputTypes(2, {ALL_FLOATS}) ->setAllowedInputTypes(3, {ALL_FLOATS}) ->setAllowedInputTypes(4, {ALL_FLOATS}) ->setAllowedInputTypes(5, {ALL_FLOATS}) ->setAllowedInputTypes(6, {ALL_FLOATS}) ->setAllowedInputTypes(7, {ALL_FLOATS}) ->setAllowedInputTypes(8, {ALL_FLOATS}) ->setAllowedInputTypes(9, {ALL_FLOATS}) ->setAllowedOutputTypes({ALL_FLOATS}); } DECLARE_SHAPE_FN(gruCell_bp) { auto xShapeInfo = inputShape->at(0); // [bS x iS] auto hiShapeInfo = inputShape->at(1); // [bS x nU] auto wShapeInfo = inputShape->at(2); // [iS+nU x 2*nU] auto wcShapeInfo = inputShape->at(3); // [iS+nU x nU] auto bShapeInfo = inputShape->at(4); // [2*nU] auto bcShapeInfo = inputShape->at(5); // [nU] auto dLdrShapeInfo = inputShape->at(6); // [bS, nU] auto dLduShapeInfo = inputShape->at(7); // [bS, nU] auto dLdcShapeInfo = inputShape->at(8); // [bS, nU] auto dLdhShapeInfo = inputShape->at(9); // [bS, nU] const int rank = xShapeInfo[0]; // = 2 const Nd4jLong bS = xShapeInfo[1]; const Nd4jLong iS = xShapeInfo[2]; const Nd4jLong nU = hiShapeInfo[2]; REQUIRE_TRUE(xShapeInfo[0] == 2, 0, "GRU_CELL_BP: rank of input array x must be 2, but got %i instead", xShapeInfo[0]); const std::vector hiCorrectShape = {bS, nU}; const std::vector wCorrectShape = {iS+nU, 2*nU}; const std::vector wcCorrectShape = {iS+nU, nU}; const std::vector bCorrectShape = {2*nU}; const std::vector bcCorrectShape = {nU}; REQUIRE_TRUE(ShapeUtils::areShapesEqual(hiShapeInfo, hiCorrectShape), 0, "GRU_CELL_BP op: wrong shape of previous cell output array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(hiCorrectShape).c_str(), ShapeUtils::shapeAsString(hiShapeInfo).c_str()); REQUIRE_TRUE(ShapeUtils::areShapesEqual(wShapeInfo, wCorrectShape), 0, "GRU_CELL_BP op: wrong shape of weights array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(wCorrectShape).c_str(), ShapeUtils::shapeAsString(wShapeInfo).c_str()); REQUIRE_TRUE(ShapeUtils::areShapesEqual(wcShapeInfo, wcCorrectShape), 0, "GRU_CELL_BP op: wrong shape of c weights array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(wcCorrectShape).c_str(), ShapeUtils::shapeAsString(wcShapeInfo).c_str()); REQUIRE_TRUE(ShapeUtils::areShapesEqual(bShapeInfo, bCorrectShape), 0, "GRU_CELL_BP op: wrong shape of biases array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(bCorrectShape).c_str(), ShapeUtils::shapeAsString(bShapeInfo).c_str()); REQUIRE_TRUE(ShapeUtils::areShapesEqual(bcShapeInfo, bcCorrectShape), 0, "GRU_CELL_BP op: wrong shape of c biases array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(bcCorrectShape).c_str(), ShapeUtils::shapeAsString(bcShapeInfo).c_str()); REQUIRE_TRUE(ShapeUtils::areShapesEqual(dLdrShapeInfo, hiCorrectShape), 0, "GRU_CELL_BP op: wrong shape of dLdr array (gradient wrt reset gate), expected is %s, but got %s instead !", ShapeUtils::shapeAsString(hiCorrectShape).c_str(), ShapeUtils::shapeAsString(dLdrShapeInfo).c_str()); REQUIRE_TRUE(ShapeUtils::areShapesEqual(dLduShapeInfo, hiCorrectShape), 0, "GRU_CELL_BP op: wrong shape of dLdu array (gradient wrt update gate), expected is %s, but got %s instead !", ShapeUtils::shapeAsString(hiCorrectShape).c_str(), ShapeUtils::shapeAsString(dLduShapeInfo).c_str()); REQUIRE_TRUE(ShapeUtils::areShapesEqual(dLdcShapeInfo, hiCorrectShape), 0, "GRU_CELL_BP op: wrong shape of dLdc array (gradient wrt cell state), expected is %s, but got %s instead !", ShapeUtils::shapeAsString(hiCorrectShape).c_str(), ShapeUtils::shapeAsString(dLdcShapeInfo).c_str()); REQUIRE_TRUE(ShapeUtils::areShapesEqual(dLdhShapeInfo, hiCorrectShape), 0, "GRU_CELL_BP op: wrong shape of dLdh array (gradient wrt current cell output), expected is %s, but got %s instead !", ShapeUtils::shapeAsString(hiCorrectShape).c_str(), ShapeUtils::shapeAsString(dLdhShapeInfo).c_str()); Nd4jLong *dLdxShapeInfo = nullptr; COPY_SHAPE(xShapeInfo, dLdxShapeInfo); Nd4jLong *dLdhiShapeInfo = nullptr; COPY_SHAPE(hiShapeInfo, dLdhiShapeInfo); Nd4jLong *dLdWShapeInfo = nullptr; COPY_SHAPE(wShapeInfo, dLdWShapeInfo); Nd4jLong *dLdWcShapeInfo = nullptr; COPY_SHAPE(wcShapeInfo, dLdWcShapeInfo); Nd4jLong *dLdbShapeInfo = nullptr; COPY_SHAPE(bShapeInfo, dLdbShapeInfo); Nd4jLong *dLdbcShapeInfo = nullptr; COPY_SHAPE(bcShapeInfo, dLdbcShapeInfo); return SHAPELIST(CONSTANT(dLdxShapeInfo), CONSTANT(dLdhiShapeInfo), CONSTANT(dLdWShapeInfo), CONSTANT(dLdWcShapeInfo), CONSTANT(dLdbShapeInfo), CONSTANT(dLdbcShapeInfo)); } } } #endif