* initial commit Signed-off-by: raver119 <raver119@gmail.com> * Implementation of hashcode cuda helper. Working edition. * Fixed parallel test input arangements. * Fixed tests for hashcode op. * Fixed shape calculation for image:crop_and_resize op and test. * NativeOps tests. Initial test suite. * Added tests for indexReduce methods. * Added test on execBroadcast with NDArray as dimensions. * Added test on execBroadcastBool with NDArray as dimensions. * Added tests on execPairwiseTransform and execPairwiseTransofrmBool. * Added tests for execReduce with scalar results. * Added reduce tests for non-empty dims array. * Added tests for reduce3. * Added tests for execScalar. * Added tests for execSummaryStats. * - provide cpu/cuda code for batch_to_space - testing it Signed-off-by: Yurii <yurii@skymind.io> * - remove old test for batch_to_space (had wrong format and numbers were not checked) Signed-off-by: Yurii <yurii@skymind.io> * Fixed complilation errors with test. * Added test for execTransformFloat. * Added test for execTransformSame. * Added test for execTransformBool. * Added test for execTransformStrict. * Added tests for execScalar/execScalarBool with TADs. * Added test for flatten. * - provide cpu/cuda code for space_to_Batch operaion Signed-off-by: Yurii <yurii@skymind.io> * Added test for concat. * comment unnecessary stuff in s_t_b Signed-off-by: Yurii <yurii@skymind.io> * Added test for specialConcat. * Added tests for memcpy/set routines. * Fixed pullRow cuda test. * Added pullRow test. * Added average test. * - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...) Signed-off-by: Yurii <yurii@skymind.io> * - debugging and fixing cuda tests in JavaInteropTests file Signed-off-by: Yurii <yurii@skymind.io> * - correct some tests Signed-off-by: Yurii <yurii@skymind.io> * Added test for shuffle. * Fixed ops declarations. * Restored omp and added shuffle test. * Added convertTypes test. * Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps. * Added sort tests. * Added tests for execCustomOp. * - further debuging and fixing tests terminated with crash Signed-off-by: Yurii <yurii@skymind.io> * Added tests for calculateOutputShapes. * Addded Benchmarks test. * Commented benchmark tests. * change assertion Signed-off-by: raver119 <raver119@gmail.com> * Added tests for apply_sgd op. Added cpu helper for that op. * Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps. * Added test for assign broadcastable. * Added tests for assign_bp op. * Added tests for axpy op. * - assign/execScalar/execTransformAny signature change - minor test fix Signed-off-by: raver119 <raver119@gmail.com> * Fixed axpy op. * meh Signed-off-by: raver119 <raver119@gmail.com> * - fix tests for nativeOps::concat Signed-off-by: Yurii <yurii@skymind.io> * sequential transform/scalar Signed-off-by: raver119 <raver119@gmail.com> * allow nested parallelism Signed-off-by: raver119 <raver119@gmail.com> * assign_bp leak fix Signed-off-by: raver119 <raver119@gmail.com> * block setRNG fix Signed-off-by: raver119 <raver119@gmail.com> * enable parallelism by default Signed-off-by: raver119 <raver119@gmail.com> * enable nested parallelism by default Signed-off-by: raver119 <raver119@gmail.com> * Added cuda implementation for row_count helper. * Added implementation for tnse gains op helper. * - take into account possible situations when input arrays are empty in reduce_ cuda stuff Signed-off-by: Yurii <yurii@skymind.io> * Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces. * Added kernel for tsne/symmetrized op heleper. * Implementation of tsne/symmetrized op cuda helper. Working edition. * Eliminated waste printfs. * Added test for broadcastgradientargs op. * host-only fallback for empty reduce float Signed-off-by: raver119 <raver119@gmail.com> * - some tests fixes Signed-off-by: Yurii <yurii@skymind.io> * - correct the rest of reduce_ stuff Signed-off-by: Yurii <yurii@skymind.io> * - further correction of reduce_ stuff Signed-off-by: Yurii <yurii@skymind.io> * Added test for Cbow op. Also added cuda implementation for cbow helpers. * - improve code of stack operation for scalar case Signed-off-by: Yurii <yurii@skymind.io> * - provide cuda kernel for gatherND operation Signed-off-by: Yurii <yurii@skymind.io> * Implementation of cbow helpers with cuda kernels. * minor tests tweaks Signed-off-by: raver119 <raver119@gmail.com> * minor tests tweaks Signed-off-by: raver119 <raver119@gmail.com> * - further correction of cuda stuff Signed-off-by: Yurii <yurii@skymind.io> * Implementatation of cbow op helper with cuda kernels. Working edition. * Skip random testing for cudablas case. * lstmBlockCell context fix Signed-off-by: raver119 <raver119@gmail.com> * Added tests for ELU and ELU_BP ops. * Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops. * Added tests for neq_scalar. * Added test for noop. * - further work on clipbynorm_bp Signed-off-by: Yurii <yurii@skymind.io> * - get rid of concat op call, use instead direct concat helper call Signed-off-by: Yurii <yurii@skymind.io> * lstmBlockCell context fix Signed-off-by: raver119 <raver119@gmail.com> * Added tests for lrelu and lrelu_bp. * Added tests for selu and selu_bp. * Fixed lrelu derivative helpers. * - some corrections in lstm Signed-off-by: Yurii <yurii@skymind.io> * operator * result shape fix Signed-off-by: raver119 <raver119@gmail.com> * - correct typo in lstmCell Signed-off-by: Yurii <yurii@skymind.io> * few tests fixed Signed-off-by: raver119 <raver119@gmail.com> * CUDA inverse broadcast bool fix Signed-off-by: raver119 <raver119@gmail.com> * disable MMAP test for CUDA Signed-off-by: raver119 <raver119@gmail.com> * BooleanOp syncToDevice Signed-off-by: raver119 <raver119@gmail.com> * meh Signed-off-by: raver119 <raver119@gmail.com> * additional data types for im2col/col2im Signed-off-by: raver119 <raver119@gmail.com> * Added test for firas_sparse op. * one more RandomBuffer test excluded Signed-off-by: raver119 <raver119@gmail.com> * Added tests for flatten op. * Added test for Floor op. * bunch of tests fixed Signed-off-by: raver119 <raver119@gmail.com> * mmulDot tests fixed Signed-off-by: raver119 <raver119@gmail.com> * more tests fixed Signed-off-by: raver119 <raver119@gmail.com> * Implemented floordiv_bp op and tests. * Fixed scalar case with cuda implementation for bds. * - work on cuda kernel for clip_by_norm backprop op is completed Signed-off-by: Yurii <yurii@skymind.io> * Eliminate cbow crach. * more tests fixed Signed-off-by: raver119 <raver119@gmail.com> * more tests fixed Signed-off-by: raver119 <raver119@gmail.com> * Eliminated abortion with batched nlp test. * more tests fixed Signed-off-by: raver119 <raver119@gmail.com> * Fixed shared flag initializing. * disabled bunch of cpu workspaces tests Signed-off-by: raver119 <raver119@gmail.com> * scalar operators fix: missing registerSpecialUse call Signed-off-by: raver119 <raver119@gmail.com> * Fixed logdet for cuda and tests. * - correct clipBynorm_bp Signed-off-by: Yurii <yurii@skymind.io> * Fixed crop_and_resize shape datatype. * - correct some mmul tests Signed-off-by: Yurii <yurii@skymind.io>
165 lines
5.4 KiB
C++
165 lines
5.4 KiB
C++
/*******************************************************************************
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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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// Created by raver119 on 15.10.2017.
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//
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#include "testlayers.h"
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#include <Graph.h>
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#include <Node.h>
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#include <ops/declarable/CustomOperations.h>
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using namespace nd4j;
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using namespace nd4j::graph;
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class ScopeTests : public testing::Test {
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public:
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};
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TEST_F(ScopeTests, BasicTests_1) {
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Graph graph;
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auto x = NDArrayFactory::create_<float>('c', {2, 2});
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x->assign(0.0f);
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auto variableSpace = graph.getVariableSpace();
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variableSpace->putVariable(-1, x);
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nd4j::ops::Scope opScope;
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auto scopeBody = new Node(OpType_LOGIC, 10, 1);
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scopeBody->setName("scopeBody");
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scopeBody->setCustomOp(&opScope);
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graph.addNode(scopeBody);
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ASSERT_EQ(1, graph.totalNodes());
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auto scopedB0 = new Node(OpType_SCALAR, 0, 6, {-1}, {}, {}, 1.0f);
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scopedB0->markInplace(true);
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scopedB0->setScopeInfo(1, "scopeBody");
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graph.addNode(scopedB0);
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ASSERT_EQ(1, graph.totalNodes());
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}
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/*
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TEST_F(ScopeTests, RealTests_1) {
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Graph graph;
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auto x = NDArrayFactory::create_<float>('c', {2, 2});
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x->assign(0.0f);
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auto y = NDArrayFactory::create_<float>('c', {2, 2});
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y->assign(0.0);
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// auto scalar = NDArrayFactory::create_<float>('c', {1, 1});
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auto scalar = NDArrayFactory::create_<float>(10.f);
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//scalar->p(0, 10);
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auto variableSpace = graph.getVariableSpace();
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variableSpace->putVariable(-1, x);
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variableSpace->putVariable(-2, y);
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variableSpace->putVariable(-3, scalar);
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// just few ops coming before while
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auto nodeA = new Node(OpType_TRANSFORM_SAME, transform::OneMinus, 1, {-1});
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auto nodeB = new Node(OpType_SCALAR, scalar::Add, 2, {1}, {}, {}, 1.0);
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//
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auto scopeCondition = new Node(OpType_LOGIC, logic::Scope, 3);
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scopeCondition->setName("scopeCondition");
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nd4j::ops::Scope opScope;
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scopeCondition->setCustomOp(&opScope);
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// this is scope of the body, it'll be executed multiple times
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auto scopeBody = new Node(OpType_LOGIC, logic::Scope, 10);
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scopeBody->setName("scopeBody");
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scopeBody->setCustomOp(&opScope);
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////////////////////////////////////////////////////////////////////////////////////////////////////
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//// filling out condition scope
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////////////////////////////////////////////////////////////////////////////////////////////////////
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// this is Sum accumulation, which feed
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auto scopedA0 = new Node(OpType_REDUCE_SAME, reduce::Sum, 4, {12});
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scopedA0->setScopeInfo(3, "scopeCondition");
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// this op compares LT A0 result with variable `scalar` which is 10;
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nd4j::ops::lt_scalar op;
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auto scopedA1 = new Node(&op, 5, {4, -3});
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scopedA1->setScopeInfo(3, "scopeCondition");
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////////////////////////////////////////////////////////////////////////////////////////////////////
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//// filling out body scope
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////////////////////////////////////////////////////////////////////////////////////////////////////
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auto scopedB0 = new Node(OpType_SCALAR, scalar::Add, 6, {12}, {}, {}, 1.0f);
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scopedB0->markInplace(false);
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scopedB0->setScopeInfo(10, "scopeBody");
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auto nodeReturn = new Node(OpType_LOGIC, logic::Return, 7, {6}, {12});
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nd4j::ops::Return opReturn;
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nodeReturn->setCustomOp(&opReturn);
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nodeReturn->setScopeInfo(10, "scopeBody");
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// WHILE operations takes 2 scopes - :0 is condition scope, and :1 is loop body scope
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auto nodeWhile = new Node(OpType_LOGIC, logic::While, 12, {-2, 3, 10});
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nd4j::ops::While opWhile;
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nodeWhile->setCustomOp(&opWhile);
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// adding root nodes first, nothing unusual expected here
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graph.addNode(nodeA);
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graph.addNode(nodeB);
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// now we're registering our scopes
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graph.addNode(scopeCondition);
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graph.addNode(scopeBody);
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// at this moment graph should have 4 (four) nodes registered
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ASSERT_EQ(4, graph.totalNodes());
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// adding node that's attached to some scope. so it should be pushed to specific scope
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graph.addNode(scopedA0);
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// we should still have 4 ops in graph, because node added above - goes directly into the scope
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// thus falls out of the graph direct execution - it can be executed only via Scope
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ASSERT_EQ(4, graph.totalNodes());
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graph.addNode(scopedA1);
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graph.addNode(scopedB0);
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graph.addNode(nodeReturn);
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// should be still 4. no options here.
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ASSERT_EQ(4, graph.totalNodes());
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// WHILE is valid node, so we expect nodes counter to go up
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graph.addNode(nodeWhile);
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ASSERT_EQ(5, graph.totalNodes());
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// now, let's try to execute graph
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Nd4jStatus status = GraphExecutioner::execute(&graph);
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ASSERT_EQ(ND4J_STATUS_OK, status);
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auto w = variableSpace->getVariable(12, 0)->getNDArray();
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w->printShapeInfo("w shape");
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ASSERT_NEAR(12.f, w->sumNumber().e<float>(0), 1e-5f);
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}
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*/ |