86 lines
2.7 KiB
Plaintext
86 lines
2.7 KiB
Plaintext
/*******************************************************************************
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* Copyright (c) 2019 Konduit K.K.
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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
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//
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#include "testlayers.h"
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#include <ops/declarable/CustomOperations.h>
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#include <NDArray.h>
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#include <ops/ops.h>
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#include <GradCheck.h>
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#include <helpers/RandomLauncher.h>
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#include <exceptions/cuda_exception.h>
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using namespace nd4j;
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class AtomicTests : public testing::Test {
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public:
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AtomicTests() {
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//
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}
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};
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template <typename T>
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static _CUDA_G void multiplyKernel(void *vbuffer, uint64_t length, void *vresult) {
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auto buffer = reinterpret_cast<T*>(vbuffer);
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auto result = reinterpret_cast<T*>(vresult);
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auto tid = blockIdx.x * blockDim.x + threadIdx.x;
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for (auto e = tid; e < length; e += gridDim.x * blockDim.x) {
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auto rem = e % 4;
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auto i = (e - rem) / 4;
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nd4j::math::atomics::nd4j_atomicMul<T>(&result[i], buffer[e]);
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}
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}
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template <typename T>
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static void multiplyLauncher(void *vbuffer, uint64_t length, void *vresult) {
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multiplyKernel<T><<<256, 256, 1024, *nd4j::LaunchContext::defaultContext()->getCudaStream()>>>(vbuffer, length, vresult);
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auto err = cudaStreamSynchronize(*nd4j::LaunchContext::defaultContext()->getCudaStream());
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if (err != 0)
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nd4j::cuda_exception::build("multiply failed", err);
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}
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static void multiplyHost(NDArray &input, NDArray &output) {
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BUILD_SINGLE_SELECTOR(input.dataType(), multiplyLauncher, (input.specialBuffer(), input.lengthOf(), output.specialBuffer()), NUMERIC_TYPES);
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}
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TEST_F(AtomicTests, test_multiply) {
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std::vector<nd4j::DataType> dtypes = {nd4j::DataType::FLOAT32, nd4j::DataType::DOUBLE, nd4j::DataType::INT16};
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for (auto t:dtypes) {
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nd4j_printf("Trying data type [%s]\n", DataTypeUtils::asString(t).c_str());
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NDArray input('c', {4, 25}, t);
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NDArray output('c', {input.lengthOf() / 4}, t);
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NDArray exp = output.ulike();
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input.assign(2);
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output.assign(2);
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exp.assign(32);
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multiplyHost(input, output);
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ASSERT_EQ(exp, output);
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}
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} |