chore: import upstream snapshot with attribution
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wehub-resource-sync
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/*
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* ******************************************************************************
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* *
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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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* * See the NOTICE file distributed with this work for additional
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* * information regarding copyright ownership.
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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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//
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// @author Alex Black
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//
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#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_lstmBlockCell)
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/lstmBlock.h>
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namespace sd {
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namespace ops {
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//////////////////////////////////////////////////////////////////////////
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CUSTOM_OP_IMPL(lstmBlockCell, 8, 7, false, 2, 1) {
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// Notation: mostly following https://arxiv.org/pdf/1503.04069.pdf
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auto xt = INPUT_VARIABLE(0); // input [bS, inSize] at time t
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auto cLast = INPUT_VARIABLE(1); // previous cell state [bS, numUnits], time t-1
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auto yLast = INPUT_VARIABLE(2); // previous output [bS, numUnits], time t-1
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auto W = INPUT_VARIABLE(3); // Weights - concatenated (input-to-hidden, hidden-to-hidden weights) weights,
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// [(inSize+numUnits), 4*numUnits]
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auto Wci = INPUT_VARIABLE(4); // weights - cell peephole (t-1) connections to input modulation gate, [numUnits]
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auto Wcf = INPUT_VARIABLE(5); // weights - cell peephole (t-1) connections to forget gate, [numUnits]
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auto Wco = INPUT_VARIABLE(6); // weights - cell peephole (t) connections to output gate, [numUnits]
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auto b = INPUT_VARIABLE(7); // biases, [4*numUnits]
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auto i = OUTPUT_VARIABLE(0); // Output - input modulation gate activations [bS, numUnits]
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auto c = OUTPUT_VARIABLE(1); // Activations, cell state (pre tanh) [bs, numUnits]
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auto f = OUTPUT_VARIABLE(2); // Output - forget gate activations [bs, numUnits]
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auto o = OUTPUT_VARIABLE(3); // Output - output gate activations [bs, numUnits]
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auto z = OUTPUT_VARIABLE(4); // Output - input gate activations [bs, numUnits]
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auto h = OUTPUT_VARIABLE(5); // Cell state, post tanh [bs, numUnits]
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auto y = OUTPUT_VARIABLE(6); // current cell output [bS, numProj], time t
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const int peephole = INT_ARG(0); // if 1, provide peephole connections
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const double forgetBias = T_ARG(0);
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const double clippingCellValue = T_ARG(1);
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// clipping value for ct, if it is not equal to zero, then cell state is clipped
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REQUIRE_TRUE(xt->rankOf() == 2 && cLast->rankOf() == 2 && yLast->rankOf() == 2, 0,
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"lstmBlockCell: Input ranks must be 2 for inputs 0/1/2 (x, cLast, outLast) - got %i, %i, %i",
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xt->rankOf(), cLast->rankOf(), yLast->rankOf());
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const int rank = xt->rankOf();
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const int bS = xt->sizeAt(0);
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const int inSize = xt->sizeAt(1);
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const int numUnits = cLast->sizeAt(1);
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REQUIRE_TRUE(xt->sizeAt(0) == yLast->sizeAt(0) && xt->sizeAt(0) == cLast->sizeAt(0), 0,
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"lstmBlockCell: Input minibatch sizes (dimension 0) must be same for xt, cLast, yLast");
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REQUIRE_TRUE(W->rankOf() == 2, 0, "lstmBlockCell: Weights array rank must be 2");
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REQUIRE_TRUE(W->sizeAt(0) == (inSize + numUnits), 0,
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"lstmBlockCell: Weights size(0) must be equal to inSize + numUnits, got %i", W->sizeAt(0));
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REQUIRE_TRUE(W->sizeAt(1) == (4 * numUnits), 0, "lstmBlockCell: Weights size(1) must be equal to 4*numUnits, got %i",
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W->sizeAt(1));
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REQUIRE_TRUE(b->rankOf() == 1 && b->sizeAt(0) == (4 * numUnits), 0,
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"lstmBlockCell: Biases must be rank 1, size 4*numUnits");
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REQUIRE_TRUE(i->rankOf() == 2 && c->rankOf() == 2 && f->rankOf() == 2 && o->rankOf() == 2 && z->rankOf() == 2 &&
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h->rankOf() == 2 && y->rankOf() == 2 && i->sizeAt(0) == bS && c->sizeAt(0) == bS &&
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f->sizeAt(0) == bS && o->sizeAt(0) == bS && z->sizeAt(0) == bS && h->sizeAt(0) == bS &&
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y->sizeAt(0) == bS && i->sizeAt(1) == numUnits && c->sizeAt(1) == numUnits &&
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f->sizeAt(1) == numUnits && o->sizeAt(1) == numUnits && z->sizeAt(1) == numUnits &&
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h->sizeAt(1) == numUnits && y->sizeAt(1) == numUnits,
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0, "lstmBlockCell: Output arrays must all be rank 2 with size(0) == batchSize and size(1) == numUnits");
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// calculations
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helpers::lstmBlockCell(xt, cLast, yLast, W, Wci, Wcf, Wco, b, i, c, f, o, z, h, y,
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{(double)peephole, forgetBias, clippingCellValue});
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return Status::OK;
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}
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DECLARE_TYPES(lstmBlockCell) {
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getOpDescriptor()->setAllowedInputTypes(ANY)->setAllowedOutputTypes({ALL_FLOATS});
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}
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DECLARE_SHAPE_FN(lstmBlockCell) {
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auto xt = inputShape->at(0); // input [bS, inSize] at time t
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auto cLast = inputShape->at(1); // previous cell state [bS, numUnits], time t-1
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auto yLast = inputShape->at(2); // previous output [bS, numUnits], time t-1
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auto W = inputShape->at(3); // Weights - concatenated (input-to-hidden, hidden-to-hidden weights) weights,
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// [(inSize+numUnits), 4*numUnits]
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auto Wci = inputShape->at(4); // weights - cell peephole (t-1) connections to input modulation gate, [numUnits]
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auto Wcf = inputShape->at(5); // weights - cell peephole (t-1) connections to forget gate, [numUnits]
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auto Wco = inputShape->at(6); // weights - cell peephole (t) connections to output gate, [numUnits]
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auto b = inputShape->at(7); // biases, [4*numUnits]
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REQUIRE_TRUE(shape::rank(xt) == 2 && shape::rank(cLast) == 2 && shape::rank(yLast) == 2, 0,
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"lstmBlockCell: Input ranks must be 2 for inputs 0/1/2 (x, cLast, outLast) - got %i, %i, %i",
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shape::rank(xt), shape::rank(cLast), shape::rank(yLast));
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const int inSize = xt[2];
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const int numUnits = cLast[2]; //[rank, bS, nOut, ...]
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REQUIRE_TRUE(xt[1] == yLast[1] && xt[1] == cLast[1], 0,
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"lstmBlockCell: Input minibatch sizes (dimension 0) must be same for xt, cLast, yLast");
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REQUIRE_TRUE(shape::rank(W) == 2, 0, "lstmBlockCell: Weights array rank must be rank 2, got %i", shape::rank(W));
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REQUIRE_TRUE(W[1] == (inSize + numUnits), 0,
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"lstmBlockCell: Weights size(0) must be equal to inSize + numUnits, got %i", W[1]);
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REQUIRE_TRUE(W[2] == (4 * numUnits), 0, "lstmBlockCell: Weights size(1) must be equal to 4*numUnits, got %i", W[2]);
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REQUIRE_TRUE(shape::rank(b) == 1 && b[1] == (4 * numUnits), 0,
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"lstmBlockCell: Biases must be rank 1, size 4*numUnits");
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// evaluate output shapeInfos
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const int bS = xt[1];
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LongType *s(nullptr);
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ALLOCATE(s, block.getWorkspace(), shape::shapeInfoLength(2), sd::LongType); // [bS, numUnits]
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s[0] = 2;
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s[1] = bS;
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s[2] = numUnits;
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ShapeUtils::updateStridesAndType(s, xt, 'c');
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auto s1 = CONSTANT(s);
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// 7 outputs, all same shape: z, i, f, o, h, c, y
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return SHAPELIST(s1, s1, s1, s1, s1, s1, s1);
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}
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} // namespace ops
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} // namespace sd
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#endif
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