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// Copyright (c) 2016-2017 Intel Corporation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://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.
#include "include/include_all.cl"
// input = [ 1, sequence, batch, input_size ]
// weights = [ 1, direction, 4 * hidden_size, input_size ]
// recurrent = [ 1, direction, 4 * hidden_size, hidden_size ]
// biases = [ 1, 1, direction, 4 * hidden_size ] optional
// hidden = [ 1, direction, batch, hidden_size ] optional
// tempGEMM = [ 1, direction, batch, 4 * hidden_size ] output
KERNEL(lstm_gemm)(
const __global INPUT0_TYPE* input,
__global OUTPUT_TYPE* output,
const __global WEIGHTS_TYPE* weights
#if HIDDEN_TERM
, const __global OUTPUT_TYPE* hidden,
const __global RECURRENT_TYPE* recurrent
#endif
#if BIAS_TERM
, const __global BIAS_TYPE* biases
#endif
)
{
const uint y = get_global_id(0);
const uint b = get_global_id(1);
ACCUMULATOR_TYPE dotProd = 0;
for(uint x = 0; x < INPUT0_SIZE_X; ++x ) {
const uint input_idx = GET_DATA_INDEX(INPUT0, b, 0, 0, x);
const uint weights_idx = GET_DATA_INDEX(WEIGHTS, 0, 0, y, x);
dotProd += (ACCUMULATOR_TYPE)(input[input_idx] * weights[weights_idx]);
}
#if HIDDEN_TERM
for(uint x = 0; x < HIDDEN_SIZE_X; ++x ) {
const uint hidden_idx = GET_DATA_INDEX(HIDDEN, b, 0, 0, x);
const uint recurrent_idx = GET_DATA_INDEX(RECURRENT, 0, 0, y, x);
dotProd += (ACCUMULATOR_TYPE)(hidden[hidden_idx] * recurrent[recurrent_idx]);
}
#endif
#if BIAS_TERM
dotProd += (ACCUMULATOR_TYPE)biases[y];
#endif
const uint output_idx = GET_DATA_INDEX(OUTPUT, b, 0, 0, y);
output[output_idx] = (OUTPUT_TYPE)dotProd;
}
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