cavis/libnd4j/include/loops/cuda/specials/setDiagonalKernel.cu

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2019-06-06 14:21:15 +02:00
/*******************************************************************************
* 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 GS <sgazeos@gmail.com>, created on 21.01.2019
//
#include <loops/special_kernels.h>
#include <NDArray.h>
namespace nd4j {
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// set up given value to upper diagonal given
// buffer - input buffer
// shape - input shape
// value - given value
// diagonal - given upper diagonal (acceptable negative values also, 0 - the main diagonal)
// row, cols - height and width of given matrix (MxN, rows = M, cols = N)
//
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template <typename T>
static __global__ void setDiagValueUpperKernel(void* buffer, Nd4jLong* shape, T value, int diagonal, Nd4jLong rows,
Nd4jLong cols) {
__shared__ Nd4jLong rank;
__shared__ T* array;
if (0 == threadIdx.x) {
rank = shape::rank(shape);
array = reinterpret_cast<T *>(buffer);
}
__syncthreads();
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for (Nd4jLong i = blockIdx.x; i < rows; i += gridDim.x) {
for (int j = threadIdx.x; j < cols; j += blockDim.x) {
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Nd4jLong coords[2] = {i, j};
Nd4jLong xOffset = shape::getOffset(shape, coords);
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if (i + diagonal <= j)
array[xOffset] = value;
}
}
}
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// set up given value to lower given diagonal
// buffer - input buffer
// shape - input shape
// value - given value
// diagonal - given lower diagonal (acceptable negative values also, 0 - the main diagonal)
// row, cols - height and width of given matrix (MxN, rows = M, cols = N)
//
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template <typename T>
static __global__ void setDiagValueLowerKernel(void* buffer, Nd4jLong* shape, T value, int diagonal, Nd4jLong rows, Nd4jLong cols) {
Nd4jLong rank = shape::rank(shape);
int totalThreads = blockDim.x;
for (Nd4jLong i = blockIdx.x; i < rows; i += gridDim.x) {
for (int j = threadIdx.x; j < cols; j += totalThreads) {
Nd4jLong coords[2] = {i, j};
auto xOffset = shape::getOffset(shape, coords);
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if (i + diagonal >= j)
*(reinterpret_cast<T*>(buffer) + xOffset) = value;
}
}
}
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
template __global__ void setDiagValueLowerKernel(void* buffer, Nd4jLong* shape, double value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueUpperKernel(void* buffer, Nd4jLong* shape, double value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueLowerKernel(void* buffer, Nd4jLong* shape, float value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueUpperKernel(void* buffer, Nd4jLong* shape, float value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueLowerKernel(void* buffer, Nd4jLong* shape, int value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueUpperKernel(void* buffer, Nd4jLong* shape, int value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueLowerKernel(void* buffer, Nd4jLong* shape, float16 value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueUpperKernel(void* buffer, Nd4jLong* shape, float16 value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueLowerKernel(void* buffer, Nd4jLong* shape, bfloat16 value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueUpperKernel(void* buffer, Nd4jLong* shape, bfloat16 value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueLowerKernel(void* buffer, Nd4jLong* shape, Nd4jLong value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueUpperKernel(void* buffer, Nd4jLong* shape, Nd4jLong value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueLowerKernel(void* buffer, Nd4jLong* shape, int16_t value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueUpperKernel(void* buffer, Nd4jLong* shape, int16_t value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueLowerKernel(void* buffer, Nd4jLong* shape, uint8_t value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueUpperKernel(void* buffer, Nd4jLong* shape, uint8_t value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueLowerKernel(void* buffer, Nd4jLong* shape, int8_t value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueUpperKernel(void* buffer, Nd4jLong* shape, int8_t value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueLowerKernel(void* buffer, Nd4jLong* shape, bool value, int diagonal, Nd4jLong rows, Nd4jLong cols);
template __global__ void setDiagValueUpperKernel(void* buffer, Nd4jLong* shape, bool value, int diagonal, Nd4jLong rows, Nd4jLong cols);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
template <typename T>
static void setDiagonalValueUpper(void* buffer, Nd4jLong* shape, NDArray const& value, int diagonal, Nd4jLong rows, Nd4jLong cols, cudaStream_t& stream) {
dim3 launchDims(256, 512, 8192);
setDiagValueUpperKernel<T><<<launchDims.x, launchDims.y, launchDims.z, stream>>>(buffer, shape, value.e<T>(0), diagonal, rows, cols);
}
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
template <typename T>
static void setDiagonalValueLower(void* buffer, Nd4jLong* shape, NDArray const& value, int diagonal, Nd4jLong rows, Nd4jLong cols, cudaStream_t& stream) {
dim3 launchDims(256, 512, 8192);
setDiagValueLowerKernel<T><<<launchDims.x, launchDims.y, launchDims.z, stream>>>(buffer, shape, value.e<T>(0), diagonal, rows, cols);
}
BUILD_SINGLE_TEMPLATE(template void setDiagonalValueUpper, (void* buffer, Nd4jLong* shape, NDArray const& value,
int diagonal, Nd4jLong rows, Nd4jLong cols, cudaStream_t& stream), LIBND4J_TYPES);
BUILD_SINGLE_TEMPLATE(template void setDiagonalValueLower, (void* buffer, Nd4jLong* shape, NDArray const& value,
int diagonal, Nd4jLong rows, Nd4jLong cols, cudaStream_t& stream), LIBND4J_TYPES);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
}