198 lines
6.7 KiB
Plaintext
198 lines
6.7 KiB
Plaintext
/***************************************************************************************************
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* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/* \file
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\brief
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*/
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#include "device_context.h"
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namespace cutlass {
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namespace profiler {
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Allocates memory of a given type, capacity (elements), and name
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DeviceAllocation *DeviceContext::allocate_block(
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std::string const &name,
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library::NumericTypeID type,
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size_t capacity) {
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device_memory_.emplace_back(type, capacity);
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DeviceAllocation *allocation = &device_memory_.back();
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allocations_[name] = allocation;
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return allocation;
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}
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/// Allocates memory of a given type, capacity (elements), and name
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DeviceAllocation *DeviceContext::allocate_tensor(
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std::string const &name,
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library::NumericTypeID type,
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library::LayoutTypeID layout_id,
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std::vector<int> const &extent,
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std::vector<int64_t> const &stride,
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int batch_count) {
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device_memory_.emplace_back(type, layout_id, extent, stride, batch_count);
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DeviceAllocation *allocation = &device_memory_.back();
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allocations_[name] = allocation;
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return allocation;
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}
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/// Allocates memory of a given type, capacity (elements), and name
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DeviceAllocation *DeviceContext::allocate_tensor(
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Options const &options,
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std::string const &name,
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library::NumericTypeID type,
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library::LayoutTypeID layout_id,
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std::vector<int> const &extent,
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std::vector<int64_t> const &stride,
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int batch_count) {
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DeviceAllocation *allocation =
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allocate_tensor(name, type, layout_id, extent, stride, batch_count);
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if (options.initialization.enabled) {
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Distribution data_distribution = options.initialization.data_distribution;
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// check if data distribution is allowed to change
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if(!options.initialization.fix_data_distribution) {
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// change data distribution based on bit width
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switch(type) {
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case library::NumericTypeID::kF16:
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data_distribution.set_uniform(-3, 3, 0);
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break;
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case library::NumericTypeID::kB1:
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data_distribution.set_uniform(0, 1, 0);
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break;
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case library::NumericTypeID::kS2:
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data_distribution.set_uniform(-1, 1, 0);
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break;
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case library::NumericTypeID::kS4:
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data_distribution.set_uniform(-2, 2, 0);
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break;
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case library::NumericTypeID::kU2:
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data_distribution.set_uniform(0, 2, 0);
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break;
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case library::NumericTypeID::kU4:
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data_distribution.set_uniform(0, 2, 0);
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break;
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case library::NumericTypeID::kS8:
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data_distribution.set_uniform(-3, 3, 0);
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break;
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case library::NumericTypeID::kU8:
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data_distribution.set_uniform(0, 4, 0);
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break;
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default: break;
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}
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}
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if (options.initialization.provider == library::Provider::kReferenceDevice) {
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allocation->initialize_random_device(
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options.initialization.seed,
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data_distribution);
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}
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else if (options.initialization.provider == library::Provider::kReferenceHost) {
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allocation->initialize_random_host(
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options.initialization.seed,
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data_distribution);
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}
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}
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return allocation;
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}
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/// Allocates memory for sparse meta data
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DeviceAllocation *DeviceContext::allocate_sparsemeta_tensor(
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Options const &options,
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std::string const &name,
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library::NumericTypeID type,
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library::LayoutTypeID layout_id,
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library::NumericTypeID type_a,
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std::vector<int> const &extent,
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std::vector<int64_t> const &stride,
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int batch_count) {
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DeviceAllocation *allocation =
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allocate_tensor(name, type, layout_id, extent, stride, batch_count);
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if (options.initialization.enabled) {
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// TF32 has 4bit meta data. The rest has 2bit.
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int MetaSizeInBits = (cutlass::library::sizeof_bits(type_a) == 32) ? 4 : 2;
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if (options.initialization.provider == library::Provider::kReferenceDevice) {
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allocation->initialize_random_sparsemeta_device(
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options.initialization.seed,
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MetaSizeInBits);
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}
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else if (options.initialization.provider == library::Provider::kReferenceHost) {
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allocation->initialize_random_sparsemeta_host(
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options.initialization.seed,
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MetaSizeInBits);
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}
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}
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return allocation;
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}
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/// Clears named allocations (but does not necessarily free memory)
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void DeviceContext::clear() {
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allocations_.clear();
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}
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/// Frees all device memory allocations
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void DeviceContext::free() {
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allocations_.clear();
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device_memory_.clear();
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}
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/// Gets the allocation by name
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DeviceAllocation &DeviceContext::at(std::string const &name) {
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return *allocations_.at(name);
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}
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size_t DeviceContext::size() const {
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return allocations_.size();
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}
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DeviceContext::AllocationMap::iterator DeviceContext::begin() {
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return allocations_.begin();
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}
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DeviceContext::AllocationMap::iterator DeviceContext::end() {
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return allocations_.end();
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}
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/////////////////////////////////////////////////////////////////////////////////////////////////
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} // namespace profiler
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} // namespace cutlass
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