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/***************************************************************************************************
* Copyright (c) 2017 - 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* 3. Neither the name of the copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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**************************************************************************************************/
/*! \file
\brief Template wraps the vector access iterator concept to load whole vector from tensors in
memory. This is typically used for per-channel scale and bias in convolution kernels.
*/
#pragma once
#include "cutlass/transform/threadblock/predicated_vector_access_iterator.h"
/////////////////////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace transform {
namespace threadblock {
/////////////////////////////////////////////////////////////////////////////////////////////////
template <typename VectorAccessIterator_>
class VectorIterator {
public:
using VectorAccessIterator = VectorAccessIterator_;
using Shape = typename VectorAccessIterator::Shape;
using Element = typename VectorAccessIterator::Element;
using Layout = typename VectorAccessIterator::Layout;
using TensorCoord = typename Layout::TensorCoord;
using AccessType = typename VectorAccessIterator::AccessType;
using TensorRef = typename VectorAccessIterator::TensorRef;
using Index = typename VectorAccessIterator::Index;
using LongIndex = typename VectorAccessIterator::LongIndex;
static int const kElementsPerAccess = VectorAccessIterator::kElementsPerAccess;
static int const kRowsPerIteration = VectorAccessIterator::kRowsPerIteration;
static int const kThreads = VectorAccessIterator::kThreads;
static int const kIterations = VectorAccessIterator::kIterations;
/// Fragment object to be loaded or stored
using Fragment = cutlass::Array<
Element, kElementsPerAccess * kIterations>;
private:
/// Internal state
VectorAccessIterator vector_access_iterator_;
public:
/// Constructor
CUTLASS_HOST_DEVICE
VectorIterator(
Element const *ptr,
TensorCoord extent,
int thread_idx,
int warp_idx,
MatrixCoord const &threadblock_offset = MatrixCoord()
):
vector_access_iterator_(ptr, extent, thread_idx, warp_idx, threadblock_offset) { }
/// Advances to the next tile in memory.
CUTLASS_HOST_DEVICE
VectorIterator &operator++() {
vector_access_iterator_.advance();
return *this;
}
/// Advances to the next tile in memory.
CUTLASS_HOST_DEVICE
VectorIterator operator++(int) {
VectorIterator self(*this);
operator++();
return self;
}
/// Loads a fragment from memory
CUTLASS_DEVICE
void load_with_pointer_offset(Fragment &frag, Index pointer_offset) {
frag.clear();
AccessType *frag_ptr = reinterpret_cast<AccessType *>(&frag);
CUTLASS_PRAGMA_UNROLL
for (int c = 0; c < kIterations; ++c) {
cutlass::arch::global_load<
AccessType,
sizeof(AccessType)
>(
frag_ptr[c],
vector_access_iterator_.get() + pointer_offset,
vector_access_iterator_.valid()
);
++vector_access_iterator_;
}
// }
}
/// Loads a fragment from memory
CUTLASS_DEVICE
void load(Fragment &frag) {
vector_access_iterator_.set_iteration_index(0);
load_with_pointer_offset(frag, 0);
}
CUTLASS_DEVICE
void advance() {
vector_access_iterator_.advance();
}
};
/////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace threadblock
} // namespace transform
} // namespace cutlass
/////////////////////////////////////////////////////////////////////////////////////////////////
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