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recurrent_ops_kernels.h
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#pragma once
// Persistent RNN Includes
#include <prnn/detail/rnn/recurrent_ops_config.h>
#include <prnn/detail/rnn/synchronizer.h>
#include <prnn/detail/util/atomics.h>
#define DEBUG_RECURRENT_OPS 0
#define ATOMIC_INCREMENT 1
#define USE_BARRIER 1
#define SHOULD_SPIN 1
#define INITIALIZE_OUTPUT_ACCUMULATORS 1
#define REDUCE_ACCUMULATORS 1
#define REDUCE_ADDRESS_MATH 1
#define BARRIER_ALWAYS_FAILS 0
#define WAIT_FOREVER 0
#if DEBUG_RECURRENT_OPS
#define dprintf(...) do { if( blockIdx.x == 0 && blockIdx.y == 0 ) \
{ std::printf(__VA_ARGS__); } } while(0)
#define t0printf(...) do { if(threadIdx.x == 0 && (threadIdx.y == 0) && \
blockIdx.x == 0 && blockIdx.y == 0 ) { std::printf(__VA_ARGS__); } } while(0)
#define UNROLL
#else
#define dprintf(...) do { } while(0)
#define t0printf(...) do { } while(0)
#define UNROLL _Pragma("unroll")
#endif
namespace prnn {
namespace rnn {
template<typename Config>
class PersistentEngineParameters
{
public:
typedef typename Config::RealType RealType;
public:
PersistentEngineParameters(const Config& config,
const RealType* weights, RealType* activations,
RealType* activations_scratch,
double skip_connection_scale, const Synchronizer& synchronizer_)
: PersistentEngineParameters(config, weights, nullptr, activations,
activations_scratch, skip_connection_scale, synchronizer_)
{
}
PersistentEngineParameters(const Config& config,
const RealType* weights,
RealType* back_prop_activations,
RealType* activations_or_deltas,
RealType* activations_scratch,
double skip_connection_scale, const Synchronizer& synchronizer_)
: weights(weights),
back_prop_activations(back_prop_activations),
activations(activations_or_deltas),
activation_scratch(activations_scratch),
skip_connection_scale(skip_connection_scale),
layer_size(config.handle.layerSize),
expanded_layer_size(expand_size(config.handle.layerSize)),
mini_batch_size(config.handle.miniBatchSize),
timesteps(config.handle.timesteps),
is_fully_covered(config.handle.layerSize % Config::BLOCK_TILE_COLUMNS == 0),
synchronizer(synchronizer_),
config(config)
{
iteration_step = layer_size;
input_to_output_offset = layer_size * (mini_batch_size);
scratch_input_to_output_offset = Config::EXPANDED_GRID_TILE_ROWS * (mini_batch_size);
iterations = mini_batch_size * (timesteps - 1);
first_iteration = synchronizer_.get_current_phase();
scratch_step_size = Config::EXPANDED_GRID_TILE_ROWS;
reduction_threads_per_value = (layer_size + Config::BLOCK_TILE_COLUMNS - 1) /
Config::BLOCK_TILE_COLUMNS;
}
index_t expand_size(index_t size) const {
return size * Config::CACHE_LINE_USAGE;
}
public:
__device__ RealType* get_deltas() const {
return activations;
}
__device__ RealType* get_deltas_scratch() const {
return activation_scratch;
}
public:
const RealType* weights;
RealType* back_prop_activations;
RealType* activations;
RealType* activation_scratch;
RealType skip_connection_scale;
index_t layer_size;
index_t expanded_layer_size;
index_t mini_batch_size;
index_t timesteps;
public:
index_t input_to_output_offset;
index_t scratch_input_to_output_offset;
index_t iteration_step;
index_t iterations;
index_t first_iteration;
public:
index_t scratch_step_size;
public:
RealType reduction_threads_per_value;
public:
bool is_fully_covered;
public:
GpuSynchronizer synchronizer;
public:
Config config;
};
template<typename Config>
class PersistentEngine
{
private:
typedef typename Config::RealType RealType;
typedef int32_t fp16x2;
typedef typename Config::FixedPointType FixedPoint;
typedef typename Config::IntType IntType;
typedef typename Config::ThreadTileWeights ThreadTileWeights;
typedef typename Config::ThreadTileInputs ThreadTileInputs;
typedef typename Config::ThreadTileAccumulators ThreadTileAccumulators;
typedef typename Config::DataLoadingBuffer DataLoadingBuffer;
typedef typename Config::ActivationLoadingBuffer ActivationLoadingBuffer;
typedef typename Config::SharedDataStorage SharedDataStorage;
typedef typename Config::ThreadTileOutputAccumulators ThreadTileOutputAccumulators;
typedef typename Config::GlobalAccessType GlobalAccessType;
typedef typename Config::GlobalStoreType GlobalStoreType;
typedef typename Config::SharedAccessType SharedAccessType;
typedef typename Config::WeightAccessType WeightAccessType;
typedef typename Config::SharedInputStoreType SharedInputStoreType;
typedef typename Config::SharedOutputStoreType SharedOutputStoreType;
typedef typename Config::ActivationAccessType ActivationAccessType;
typedef typename Config::SharedAccumulatorStoreType SharedAccumulatorStoreType;
typedef typename Config::OutputSharedAccessType OutputSharedAccessType;
enum {
THREADS_PER_BLOCK = Config::THREADS_PER_BLOCK
};
enum {
BLOCKS_PER_SM = Config::BLOCKS_PER_SM
};
class RegisterState
{
public:
__device__ RegisterState(const PersistentEngineParameters<Config>& parameters)
:
shared_base(0),
barrier_success(true),
should_check_barrier(false),
skip_connection_scale(parameters.skip_connection_scale),
layer_size(parameters.layer_size),
expanded_layer_size(parameters.expanded_layer_size),
input_to_output_offset(parameters.input_to_output_offset),
scratch_input_to_output_offset(parameters.scratch_input_to_output_offset),
iteration_step(parameters.iteration_step),
iterations(parameters.iterations),
iteration(parameters.first_iteration),
first_iteration(parameters.first_iteration),
scratch_step_size(parameters.scratch_step_size),
reduction_threads_per_value(parameters.reduction_threads_per_value)
{
if (Config::DIRECTION == prnn::RECURRENT_REVERSE) {
index_t iteration = parameters.timesteps * parameters.mini_batch_size -
parameters.first_iteration - 1;
back_prop_activation_base_pointer = parameters.back_prop_activations +
iteration * parameters.layer_size;
input_base_pointer = parameters.activations +
iteration * parameters.layer_size;
activation_scratch = parameters.activation_scratch +
Config::EXPANDED_GRID_TILE_COLUMNS * iteration;
}
else {
back_prop_activation_base_pointer = parameters.back_prop_activations +
parameters.first_iteration * parameters.layer_size;
input_base_pointer = parameters.activations +
parameters.first_iteration * parameters.layer_size;
activation_scratch = parameters.activation_scratch +
Config::EXPANDED_GRID_TILE_COLUMNS * parameters.first_iteration;
}
}
public:
RealType* activation_scratch;
public:
index_t shared_base; // 1 reg
public:
bool barrier_success;
bool should_check_barrier;
public:
RealType* back_prop_activation_base_pointer;
RealType* input_base_pointer; // 2 regs
public:
RealType skip_connection_scale; // const
index_t layer_size; // const
index_t expanded_layer_size; // const
public:
index_t input_to_output_offset; // const
index_t scratch_input_to_output_offset; // const
index_t iteration_step; // const
index_t iterations; // const
public:
index_t iteration; // 1 reg
index_t first_iteration; // const
public:
index_t scratch_step_size; // const
public:
RealType reduction_threads_per_value; // const
};
public:
__device__ PersistentEngine(const PersistentEngineParameters<Config>& parameters)
: parameters(parameters), synchronizer(parameters.synchronizer) {
}
public:
__device__ inline void run_forward()
{
t0printf("Thread (%d, %d, %d, %d) - Starting persistent forward engine on "
"iteration %d (scratch %p) (acts/deltas %p).\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y, parameters.first_iteration,
parameters.activation_scratch, parameters.activations);
if (!is_restarted()) {
populate_scratch();
}
else if (parameters.first_iteration >=
parameters.iterations + parameters.mini_batch_size) {
return;
}
DataLoadingBuffer data_buffer; // 4 regs
ThreadTileAccumulators accumulators; // 9 regs
ThreadTileOutputAccumulators output_accumulators; // 3 regs
RegisterState register_state(parameters);
__shared__ SharedDataStorage shared_state;
initialize_shared_state(shared_state);
ThreadTileWeights weights;
load_weights(weights);
warm_start(register_state, shared_state, weights, data_buffer, accumulators,
output_accumulators);
if(register_state.barrier_success)
{
for(; register_state.iteration < register_state.iterations; ++register_state.iteration)
{
t0printf("Thread (%d, %d, %d, %d) - Starting iteration %d.\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y, register_state.iteration);
perform_iteration(register_state, shared_state, weights, data_buffer, accumulators,
output_accumulators);
if(!register_state.barrier_success)
{
t0printf("Thread (%d, %d, %d, %d) - Barrier failed, bailing"
" out of main loop.\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y);
register_state.iteration -= 1;
break;
}
}
}
if(register_state.barrier_success)
{
clean_up(register_state, shared_state, weights, data_buffer, accumulators,
output_accumulators);
}
if(!register_state.barrier_success)
{
t0printf("Thread (%d, %d, %d, %d) - Barrier failed, bailing out of kernel, "
"restart at %d.\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y, register_state.iteration);
#if USE_BARRIER
synchronizer.set_concurrent_execution_failed();
synchronizer.set_phase(register_state.iteration);
#endif
}
}
public:
__device__ inline void run_back_prop_deltas()
{
t0printf("Thread (%d, %d, %d, %d) - Starting persistent back prop deltas engine on "
"iteration %d (scratch %p) (deltas %p) (back prop acts %p).\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y, parameters.first_iteration,
parameters.activation_scratch, parameters.activations,
parameters.back_prop_activations);
if (!is_restarted()) {
populate_scratch_back_prop();
}
else if (parameters.first_iteration >=
parameters.iterations + parameters.mini_batch_size) {
return;
}
DataLoadingBuffer data_buffer;
ActivationLoadingBuffer activation_buffer;
ThreadTileAccumulators accumulators;
ThreadTileOutputAccumulators output_accumulators;
RegisterState register_state(parameters);
__shared__ SharedDataStorage shared_state;
initialize_shared_state(shared_state);
ThreadTileWeights weights;
load_transposed_weights(weights);
warm_start_back_prop(register_state, shared_state, weights,
data_buffer, activation_buffer, accumulators, output_accumulators);
if(register_state.barrier_success)
{
for(; register_state.iteration < register_state.iterations; ++register_state.iteration)
{
t0printf("Thread (%d, %d, %d, %d) - Starting iteration %d.\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y, register_state.iteration);
perform_back_prop_iteration(register_state, shared_state,
weights, data_buffer, activation_buffer,
accumulators, output_accumulators);
if (!register_state.barrier_success) {
t0printf("Thread (%d, %d, %d, %d) - Barrier failed, bailing out"
" of main loop.\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y);
break;
}
}
}
if(register_state.barrier_success)
{
clean_up_back_prop(register_state, shared_state,
weights, data_buffer, activation_buffer,
accumulators, output_accumulators);
}
if(!register_state.barrier_success)
{
printf("Thread (%d, %d, %d, %d) - Barrier failed, bailing out of kernel at %d.\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y, (register_state.iteration - 1));
synchronizer.set_concurrent_execution_failed();
synchronizer.set_phase(register_state.iteration - 1);
}
}
private:
__device__ void perform_iteration(RegisterState& register_state,
SharedDataStorage& shared_state,
ThreadTileWeights& weights, DataLoadingBuffer& data_buffer,
ThreadTileAccumulators& accumulators,
ThreadTileOutputAccumulators& output_accumulators,
bool save_input = true,
bool load_output = true,
bool stage_one = true,
bool stage_two = true,
bool stage_three = true)
{
ThreadTileInputs thread_inputs;
// 0
if(stage_one)
{
if(!check_for_critical_barrier_failure(register_state, shared_state))
{
return;
}
}
// 0
if(stage_one)
{
load_input(register_state, data_buffer, load_output);
}
// 1
if(stage_two)
{
load_thread_tile_inputs(register_state, shared_state, thread_inputs);
initialize_accumulators(accumulators);
perform_thread_tile_math(accumulators, weights, thread_inputs);
}
// 2
if(stage_three)
{
reduce_thread_tile_shared(register_state, shared_state, output_accumulators);
}
// 2
if(stage_three)
{
store_accumulators(register_state, output_accumulators);
}
// 1
if(stage_two)
{
initialize_output_accumulators(register_state, shared_state, output_accumulators);
}
advance_shared_pointers(register_state);
// 1
if(stage_two)
{
store_accumulators_to_shared(register_state, shared_state, accumulators);
}
// 0
if(stage_one)
{
wait_for_barrier(register_state, shared_state, data_buffer);
}
// 0
if(stage_one)
{
format_input(register_state, shared_state, data_buffer, save_input);
}
synchronize_block();
advance_pointers(register_state);
}
__device__ void perform_back_prop_iteration(RegisterState& register_state,
SharedDataStorage& shared_state,
ThreadTileWeights& weights, DataLoadingBuffer& data_buffer,
ActivationLoadingBuffer& activation_buffer,
ThreadTileAccumulators& accumulators,
ThreadTileOutputAccumulators& output_accumulators,
bool save_input = true,
bool load_output = true,
bool stage_one = true,
bool stage_two = true,
bool stage_three = true)
{
ThreadTileInputs thread_inputs;
// 0
if(stage_one)
{
if(!check_for_critical_barrier_failure(register_state, shared_state))
{
return;
}
}
// 0
if(stage_one)
{
load_input(register_state, data_buffer, load_output);
load_back_prop_activations(register_state, activation_buffer);
}
// 1
if(stage_two)
{
load_thread_tile_inputs(register_state, shared_state, thread_inputs);
initialize_accumulators(accumulators);
perform_thread_tile_math(accumulators, weights, thread_inputs);
}
// 2
if(stage_three)
{
reduce_thread_tile_shared(register_state, shared_state, output_accumulators);
}
// 2
if(stage_three)
{
store_accumulators_back_prop(register_state, output_accumulators);
}
// 1
if(stage_two)
{
initialize_output_accumulators(register_state, shared_state, output_accumulators);
}
advance_shared_pointers(register_state);
// 1
if(stage_two)
{
store_accumulators_to_shared(register_state, shared_state, accumulators);
}
// 0
if(stage_one)
{
wait_for_barrier(register_state, shared_state, data_buffer);
}
// 0
if(stage_one)
{
format_input_back_prop(register_state, shared_state, data_buffer, activation_buffer,
save_input);
}
synchronize_block();
advance_pointers_back_prop(register_state);
}
private:
__device__ void warm_start(RegisterState& register_state,
SharedDataStorage& shared_state,
ThreadTileWeights& weights, DataLoadingBuffer& data_buffer,
ThreadTileAccumulators& accumulators,
ThreadTileOutputAccumulators& output_accumulators) {
for(; register_state.iteration < parameters.first_iteration + 2;
++register_state.iteration) {
t0printf("Thread (%d, %d, %d, %d) - Warm starting iteration %d.\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y,
register_state.iteration);
perform_iteration(register_state, shared_state, weights, data_buffer,
accumulators, output_accumulators, !is_restarted(), true,
true, register_state.iteration > parameters.first_iteration, false);
if(!register_state.barrier_success)
{
register_state.iteration -= 1;
t0printf("Thread (%d, %d, %d, %d) - Barrier failed, bailing out of "
"warmup loop at %d.\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y, register_state.iteration);
break;
}
}
}
__device__ void warm_start_back_prop(RegisterState& register_state,
SharedDataStorage& shared_state,
ThreadTileWeights& weights,
DataLoadingBuffer& data_buffer,
ActivationLoadingBuffer& activation_buffer,
ThreadTileAccumulators& accumulators,
ThreadTileOutputAccumulators& output_accumulators) {
for(; register_state.iteration < parameters.first_iteration + 2;
++register_state.iteration) {
t0printf("Thread (%d, %d, %d, %d) - Warm starting back prop iteration %d.\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y,
register_state.iteration);
perform_back_prop_iteration(register_state, shared_state, weights, data_buffer,
activation_buffer, accumulators, output_accumulators, !is_restarted(), true,
true, register_state.iteration > parameters.first_iteration, false);
if(!register_state.barrier_success)
{
register_state.iteration -= 1;
t0printf("Thread (%d, %d, %d, %d) - Barrier failed, bailing out of "
"warmup loop at %d.\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y, register_state.iteration);
break;
}
}
}
private:
__device__ void clean_up(RegisterState& register_state,
SharedDataStorage& shared_state,
ThreadTileWeights& weights,
DataLoadingBuffer& data_buffer,
ThreadTileAccumulators& accumulators,
ThreadTileOutputAccumulators& output_accumulators) {
for(; register_state.iteration < register_state.iterations + parameters.mini_batch_size;
++register_state.iteration) {
t0printf("Thread (%d, %d, %d, %d) - Clean up iteration %d.\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y, register_state.iteration);
bool should_store_accumulators = register_state.iteration
< register_state.iterations + 2;
perform_iteration(register_state, shared_state,
weights, data_buffer, accumulators, output_accumulators,
true, false, true, true, should_store_accumulators);
if(!register_state.barrier_success)
{
register_state.iteration -= 1;
t0printf("Thread (%d, %d, %d, %d) - Barrier failed, bailing out of "
"cleanup loop at %d.\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y, register_state.iteration);
break;
}
}
}
__device__ void clean_up_back_prop(RegisterState& register_state,
SharedDataStorage& shared_state,
ThreadTileWeights& weights,
DataLoadingBuffer& data_buffer,
ActivationLoadingBuffer& activation_buffer,
ThreadTileAccumulators& accumulators,
ThreadTileOutputAccumulators& output_accumulators) {
for(; register_state.iteration < parameters.iterations + parameters.mini_batch_size;
++register_state.iteration) {
t0printf("Thread (%d, %d, %d, %d) - Clean up back prop iteration %d.\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y, register_state.iteration);
bool should_store_accumulators =
register_state.iteration < register_state.iterations + 2;
perform_back_prop_iteration(register_state, shared_state,
weights, data_buffer, activation_buffer,
accumulators, output_accumulators,
true, false, true, true, should_store_accumulators);
}
}
private:
__device__ void initialize_shared_state(SharedDataStorage& shared_state)
{
shared_state.data[Config::SHARED_BARRIER_OFFSET] = 0;
shared_state.data[Config::SHARED_BUFFER_SIZE + Config::SHARED_BARRIER_OFFSET] = 0;
synchronize_block();
}
private:
__device__ bool is_restarted() {
return parameters.first_iteration != 0;
}
private:
__device__ index_t thread_id_in_grid() const {
return threadIdx.x +
threadIdx.y * (blockDim.x) +
blockIdx.x * (blockDim.x * blockDim.y) +
blockIdx.y * (blockDim.x * blockDim.y * gridDim.x);
}
__device__ index_t grid_size() const {
return blockDim.x * blockDim.y * gridDim.x * gridDim.y;
}
__device__ void populate_scratch() {
index_t id = thread_id_in_grid();
index_t size = grid_size();
index_t expanded_layer_size = parameters.expanded_layer_size;
for (index_t offset = id;
offset < expanded_layer_size * parameters.mini_batch_size;
offset += size) {
index_t position_in_layer = offset % expanded_layer_size;
index_t layer_id = offset / expanded_layer_size;
index_t compressed_position_in_layer = compress_id(position_in_layer);
index_t local_index = layer_id * parameters.layer_size + compressed_position_in_layer;
index_t scratch_index = layer_id * Config::EXPANDED_GRID_TILE_COLUMNS +
position_in_layer;
bool is_in_range = compressed_position_in_layer < parameters.layer_size;
RealType value = 0.0;
if (is_in_range) {
value = parameters.activations[local_index];
}
if (is_barrier_id(offset)) {
value = Config::THREADS_PER_GLOBAL_REDUCTION;
}
dprintf("Thread (%d, %d, %d, %d) - Warm starting scratch "
"offset[%d] (%p) = activations[%d] (%p) (%f) \n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y,
scratch_index, parameters.activation_scratch + scratch_index,
local_index, parameters.activations + local_index, (float)value);
atomic_store_relaxed(parameters.activation_scratch[scratch_index], value);
}
}
private:
__device__ void populate_scratch_back_prop() {
index_t id = thread_id_in_grid();
index_t size = grid_size();
auto* deltas_base = parameters.get_deltas() +
(parameters.timesteps - 1) * parameters.mini_batch_size * parameters.layer_size;
auto* deltas_scratch_base = parameters.get_deltas_scratch() +
(parameters.timesteps - 1) * parameters.mini_batch_size *
Config::EXPANDED_GRID_TILE_ROWS;
index_t expanded_layer_size = parameters.expanded_layer_size;
for (index_t offset = id;
offset < expanded_layer_size * parameters.mini_batch_size;
offset += size) {
index_t position_in_layer = offset % expanded_layer_size;
index_t layer_id = offset / expanded_layer_size;
index_t compressed_position_in_layer = compress_id(position_in_layer);
index_t local_index = layer_id * parameters.layer_size + compressed_position_in_layer;
index_t scratch_index = layer_id * Config::EXPANDED_GRID_TILE_COLUMNS +
position_in_layer;
bool is_in_range = compressed_position_in_layer < parameters.layer_size;
RealType value = 0.0;
if (is_in_range) {
value = deltas_base[local_index];
}
if (is_barrier_id(offset)) {
value = Config::THREADS_PER_GLOBAL_REDUCTION;
}
dprintf("Thread (%d, %d, %d, %d) - Warm starting scratch "
"offset[%d] (%p) = deltas[%d] (%p) (%f) \n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y,
scratch_index,
deltas_scratch_base + scratch_index,
local_index, deltas_base + local_index, (float)value);
atomic_store_relaxed(deltas_scratch_base[scratch_index], value);
}
}
private:
__device__ void load_weights(ThreadTileWeights& weights) {
safe_load_weights(weights, false);
}
__device__ void safe_load_weights(ThreadTileWeights& weights, bool transpose) {
index_t thread_tile_base_row = threadIdx.x +
get_block_id_x() * Config::BLOCK_TILE_ROWS;
index_t thread_tile_base_column = threadIdx.y * Config::VALUES_PER_SHARED_LOAD +
get_block_id_y() * Config::BLOCK_TILE_COLUMNS;
index_t thread_column_step = Config::VALUES_PER_SHARED_LOAD * Config::THREADS_PER_ROW;
UNROLL
for (index_t column_segment = 0, data_column = 0;
column_segment < Config::THREAD_TILE_COLUMN_SEGMENTS;
++column_segment, data_column += thread_column_step) {
UNROLL
for (index_t column_offset = 0; column_offset < Config::VALUES_PER_SHARED_LOAD;
++column_offset) {
index_t column = column_segment * Config::VALUES_PER_SHARED_LOAD + column_offset;
UNROLL
for (index_t row = 0; row < Config::THREAD_TILE_ROWS; ++row) {
index_t data_row = row * Config::THREADS_PER_COLUMN;
index_t current_row = data_row + thread_tile_base_row;
index_t current_column = data_column + thread_tile_base_column + column_offset;
weights.data[row][column] = 0.0;
bool is_in_range = current_row < parameters.layer_size &&
current_column < parameters.layer_size;
index_t thread_tile_index = 0;
if (transpose) {
thread_tile_index = current_column + current_row * parameters.layer_size;
}
else {
thread_tile_index = current_row + current_column * parameters.layer_size;
}
if (is_in_range) {
weights.data[row][column] = parameters.weights[thread_tile_index];
t0printf("Thread (%d, %d, %d, %d) - Loading thread weights[%d][%d] = "
"data_weights[%d][%d] %f\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y,
(int)row, (int)column, (int) current_row, (int)current_column,
(float)weights.data[row][column]);
}
}
}
}
index_t data_column = Config::THREAD_TILE_COLUMN_SEGMENTS * thread_column_step;
UNROLL
for (index_t column_offset = 0;
column_offset < Config::THREAD_TILE_COLUMN_SEGMENT_REMAINDER;
++column_offset) {
index_t column = column_offset
+ Config::THREAD_TILE_COLUMN_SEGMENTS * Config::VALUES_PER_SHARED_LOAD;
UNROLL
for (index_t row = 0; row < Config::THREAD_TILE_ROWS; ++row) {
index_t data_row = row * Config::THREADS_PER_COLUMN;
index_t current_row = data_row + thread_tile_base_row;
index_t current_column = data_column + thread_tile_base_column + column_offset;
weights.data[row][column] = 0.0;
bool is_in_range = current_row < parameters.layer_size &&
current_column < parameters.layer_size;
index_t thread_tile_index = current_row +
current_column * parameters.layer_size;
if (is_in_range) {
weights.data[row][column] = parameters.weights[thread_tile_index];
t0printf("Thread (%d, %d, %d, %d) - Loading thread weights[%d][%d] = "
"data_weights[%d][%d] %f\n",
blockIdx.x, blockIdx.y, threadIdx.x, threadIdx.y,
(int)row, (int)column, (int) current_row, (int)current_column,
(float)weights.data[row][column]);
}
}
}
}
__device__ void load_transposed_weights(ThreadTileWeights& weights)
{
safe_load_weights(weights, true);
}
private:
__device__ void format_input(RegisterState& register_state,
SharedDataStorage& shared_state,
DataLoadingBuffer& data_buffer, bool save_input)
{
compress_data_buffer(data_buffer);
apply_nonlinearity(data_buffer);
if(save_input)
{
store_nonlinear_input_global(register_state, data_buffer);
}
store_nonlinear_input_shared(register_state, shared_state, data_buffer);
}
__device__ void format_input_back_prop(RegisterState& register_state,
SharedDataStorage& shared_state,
DataLoadingBuffer& data_buffer, ActivationLoadingBuffer& activation_buffer,
bool save_input)
{
compress_data_buffer(data_buffer);
apply_back_prop_nonlinearity(data_buffer, activation_buffer);
if(save_input)
{
store_nonlinear_input_global(register_state, data_buffer);
}
store_nonlinear_input_shared(register_state, shared_state, data_buffer);
}
// noinline so that the uncommon case doesn't polute the main loop
__device__ __noinline__ void external_load_input(RegisterState& register_state,
SharedDataStorage& shared_state,
DataLoadingBuffer& data_buffer) {
load_input(register_state, data_buffer, true, true);
detect_barrier_success(register_state, shared_state, data_buffer, true);
}
__device__ void load_input(RegisterState& register_state, DataLoadingBuffer& data_buffer,
bool load_output = true, bool is_retry = false) {
UNROLL
for (index_t i = 0; i < Config::GLOBAL_VALUES_PER_THREAD;
i += Config::VALUES_PER_GLOBAL_LOAD) {
predicated_load_vector(register_state, data_buffer.data[i], i, load_output, is_retry);
}
}
__device__ void store_accumulators_to_shared(RegisterState& register_state,
SharedDataStorage& shared_state,
ThreadTileAccumulators& accumulators) {
UNROLL
for(index_t i = 0; i < Config::THREAD_TILE_ROWS; ++i)
{
store_thread_accumulators_to_shared(register_state,
shared_state, accumulators.data[i], i);
}
}
__device__ void initialize_output_accumulators(RegisterState& register_state,
SharedDataStorage& shared_state,
ThreadTileOutputAccumulators& accumulators) {
UNROLL
for (index_t i = 0; i < Config::OUTPUTS_PER_THREAD; ++i) {
initialize_output_accumulator(register_state, shared_state, accumulators.data[i], i);
}
}
__device__ void reduce_thread_tile_shared(RegisterState& register_state,
SharedDataStorage& shared_state,
ThreadTileOutputAccumulators& accumulators) {
UNROLL
for (index_t i = 0; i < Config::OUTPUTS_PER_THREAD; ++i) {
reduce_accumulator(register_state, shared_state, accumulators.data[i], i);
}
}
__device__ void load_back_prop_activations(RegisterState& register_state,
ActivationLoadingBuffer& activation_buffer)
{
UNROLL
for (index_t i = 0; i < Config::USEFUL_GLOBAL_VALUES_PER_THREAD;
i += Config::VALUES_PER_ACTIVATION_LOAD)
{
predicated_load_back_prop_activation_vector(register_state,
activation_buffer.data[i], i);
}
}