187 lines
7.0 KiB
C++
187 lines
7.0 KiB
C++
/*
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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 AbdelRauf
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//
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#include <execution/ThreadPool.h>
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#include <execution/Threads.h>
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#include <helpers/LoopsCoordsHelper.h>
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#include <ops/declarable/helpers/transforms.h>
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#include <cmath>
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#include <memory>
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#include <stdexcept>
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#include <type_traits>
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#if NOT_EXCLUDED(OP_compare_and_bitpack)
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namespace sd {
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namespace ops {
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namespace helpers {
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template <typename X>
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uint8_t pack(const X* buff, const X& threshold) {
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uint8_t res;
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res = (buff[0] > threshold) << 7;
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res = res | ((buff[1] > threshold) << 6);
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res = res | ((buff[2] > threshold) << 5);
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res = res | ((buff[3] > threshold) << 4);
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res = res | ((buff[4] > threshold) << 3);
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res = res | ((buff[5] > threshold) << 2);
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res = res | ((buff[6] > threshold) << 1);
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res = res | (buff[7] > threshold);
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return res;
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}
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template <>
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uint8_t pack<bool>(const bool* buff, const bool& threshold) {
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// ignore threshold
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uint8_t res;
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res = buff[0] << 7;
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res = res | (buff[1] << 6);
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res = res | (buff[2] << 5);
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res = res | (buff[3] << 4);
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res = res | (buff[4] << 3);
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res = res | (buff[5] << 2);
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res = res | (buff[6] << 1);
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res = res | buff[7];
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return res;
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}
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template <typename X>
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uint8_t pack(const X* buff, int stride, const X& threshold) {
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uint8_t res;
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res = (buff[0] > threshold) << 7;
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res = res | ((buff[1 * stride] > threshold) << 6);
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res = res | ((buff[2 * stride] > threshold) << 5);
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res = res | ((buff[3 * stride] > threshold) << 4);
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res = res | ((buff[4 * stride] > threshold) << 3);
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res = res | ((buff[5 * stride] > threshold) << 2);
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res = res | ((buff[6 * stride] > threshold) << 1);
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res = res | (buff[7 * stride] > threshold);
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return res;
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}
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template <>
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uint8_t pack<bool>(const bool* buff, int stride, const bool& threshold) {
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// ignore threshold
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uint8_t res;
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res = buff[0] << 7;
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res = res | (buff[1 * stride] << 6);
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res = res | (buff[2 * stride] << 5);
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res = res | (buff[3 * stride] << 4);
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res = res | (buff[4 * stride] << 3);
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res = res | (buff[5 * stride] << 2);
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res = res | (buff[6 * stride] << 1);
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res = res | buff[7 * stride];
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return res;
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}
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template <typename X>
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void compareAndBitpack_(NDArray& input, NDArray& thresholdScalar, NDArray& output) {
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auto rank = input.rankOf();
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X threshold = thresholdScalar.e<X>(0);
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auto buff = input.bufferAsT<X>();
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uint8_t* outBuff = output.bufferAsT<uint8_t>();
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if (input.ordering() == 'c' && output.ordering() == 'c' && input.ews() == 1 && output.ews() == 1) {
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FUNC_1D func = [buff, outBuff, threshold](uint64_t thread_id, int64_t start, int64_t stop,
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int64_t increment) -> void {
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auto outBuffPart = outBuff + start;
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auto buffPart = buff + start * 8;
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auto len = stop - start;
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// run
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for (auto i = 0; i < len; i++) {
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outBuffPart[i] = pack<X>(&(buffPart[8 * i]), threshold);
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}
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};
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samediff::Threads::parallel_for(func, 0, output.lengthOf(), 1);
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} else {
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auto inShapes = input.shapeOf();
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auto outShapes = output.shapeOf();
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auto inStrides = input.stridesOf();
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auto outStrides = output.stridesOf();
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if (rank == 1) {
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auto inLastStride = inStrides[rank - 1];
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auto outLastStride = outStrides[rank - 1];
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FUNC_1D func = [buff, outBuff, inLastStride, outLastStride, threshold](uint64_t thread_id, int64_t start,
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int64_t stop, int64_t increment) -> void {
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auto buffPart = buff + start * 8 * inLastStride;
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auto outBuffPart = outBuff + start * outLastStride;
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auto len = stop - start;
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// run
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for (auto i = 0; i < len; i++) {
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*outBuffPart = pack<X>(buffPart, inLastStride, threshold);
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buffPart += 8 * inLastStride;
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outBuffPart += outLastStride;
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}
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};
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samediff::Threads::parallel_for(func, 0, output.lengthOf(), 1);
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} else {
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// if output shape is {n1, n2, n3} then input shape is { n1. n2, n3 * 8}
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// therefore we can split input shape {n1, n2, n3 , 8} and correct its stride
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// as we do not need last shape info. lets just extend and correct its stride
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sd::LongType extendedStrides[SD_MAX_RANK];
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for (int i = 0; i < rank; i++) {
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extendedStrides[i] = inStrides[i];
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}
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// lets correct new stride
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extendedStrides[rank - 1] = 8 * inStrides[rank - 1];
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extendedStrides[rank] = inStrides[rank - 1];
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// general case. its slow. we can improve it for special case later
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// generic case that could be further improved. for now its slow
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FUNC_1D func = [rank, buff, outBuff, outShapes, extendedStrides, outStrides, threshold](
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uint64_t thread_id, int64_t start, int64_t stop, int64_t increment) -> void {
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sd::LongType coords[SD_MAX_RANK] = {};
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sd::LongType* ptr_coords = (sd::LongType*)&coords;
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sd::LongType len = (stop - start);
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// its extended as {rank+1} so extendedStrides[rank] is valid
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auto innermostStride = extendedStrides[rank];
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INDEX2COORDS(start, rank, outShapes, ptr_coords);
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// here last dimension will not be in coords. this way output shape and input shapes are equal
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sd::LongType inOffset, outOffset;
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COORDS2INDEX(rank + 1, extendedStrides, ptr_coords, inOffset);
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COORDS2INDEX(rank, outStrides, ptr_coords, outOffset);
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for (sd::LongType k = 0; k < len; k++) {
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auto buffPart = &(buff[inOffset]);
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auto outBuffPart = &(outBuff[outOffset]);
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*outBuffPart = pack<X>(buffPart, innermostStride, threshold);
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inOffset += extendedStrides[rank];
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outOffset += outStrides[rank - 1];
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}
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};
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samediff::Threads::parallel_for(func, 0, output.lengthOf(), 1);
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}
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}
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}
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/////////////////////////////////////////////////////////////
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void compareAndBitpack(sd::graph::Context& block, NDArray& input, NDArray& threshold, NDArray& output) {
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BUILD_SINGLE_SELECTOR(input.dataType(), compareAndBitpack_, (input, threshold, output), SD_COMMON_TYPES);
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}
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BUILD_SINGLE_TEMPLATE( void compareAndBitpack_,
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(NDArray& input, NDArray& threshold, NDArray& output), SD_COMMON_TYPES);
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} // namespace helpers
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} // namespace ops
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} // namespace sd
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#endif |