diff options
Diffstat (limited to 'src/runtime/CL/functions/CLLSTMLayer.cpp')
| -rw-r--r-- | src/runtime/CL/functions/CLLSTMLayer.cpp | 14 |
1 files changed, 10 insertions, 4 deletions
diff --git a/src/runtime/CL/functions/CLLSTMLayer.cpp b/src/runtime/CL/functions/CLLSTMLayer.cpp index 5036126aea..05d459c899 100644 --- a/src/runtime/CL/functions/CLLSTMLayer.cpp +++ b/src/runtime/CL/functions/CLLSTMLayer.cpp @@ -41,7 +41,7 @@ #include "src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h" #include "src/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h" #include "src/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.h" -#include "src/core/CL/kernels/CLTransposeKernel.h" +#include "src/core/gpu/cl/kernels/ClTransposeKernel.h" namespace arm_compute { @@ -51,7 +51,7 @@ using namespace arm_compute::utils::info_helpers; CLLSTMLayer::CLLSTMLayer(std::shared_ptr<IMemoryManager> memory_manager) : _memory_group(std::move(memory_manager)), _fully_connected_input_gate(), _accum_input_gate1(), _subtract_input_gate(), _pixelwise_mul_input_gate(), _activation_input_gate(), _fully_connected_forget_gate(), _accum_forget_gate1(), _pixelwise_mul_forget_gate(), _activation_forget_gate(), _fully_connected_cell_state(), _gemm_cell_state1(), - _transpose_cell_state(std::make_unique<CLTransposeKernel>()), _accum_cell_state1(), _accum_cell_state2(), _pixelwise_mul_cell_state1(), _activation_cell_state(), _cell_clip(), + _transpose_cell_state(std::make_unique<opencl::kernels::ClTransposeKernel>()), _accum_cell_state1(), _accum_cell_state2(), _pixelwise_mul_cell_state1(), _activation_cell_state(), _cell_clip(), _pixelwise_mul_cell_state2(), _fully_connected_output(), _pixelwise_mul_output_state1(), _accum_output1(), _activation_output(), _activation_output_state(), _pixelwise_mul_output_state2(), _fully_connected_output_state(), _projection_clip(), _copy_cell_state(), _copy_output(), _concat_scratch_buffer(), _concat_inputs_forget_gate(), _concat_weights_forget_gate(), _concat_weights_input_gate(), _concat_weights_output(), _ones_fill(), _mean_std_norm_input_gate(), _pixelwise_mul_input_gate_coeff(), _accum_input_gate_bias(), _mean_std_norm_forget_gate(), @@ -256,7 +256,8 @@ void CLLSTMLayer::configure(const CLCompileContext &compile_context, const ICLTe _memory_group.manage(&_cell_state_out1); _fully_connected_cell_state.configure(compile_context, input, input_to_cell_weights, (_is_layer_norm_lstm) ? nullptr : cell_bias, &_cell_state_out1); _memory_group.manage(&_cell_state_out2); - _transpose_cell_state->configure(compile_context, recurrent_to_cell_weights, &_cell_state_out2); + _transpose_cell_state->configure(compile_context, recurrent_to_cell_weights->info(), _cell_state_out2.info()); + _recurrent_to_cell_weights = recurrent_to_cell_weights; _memory_group.manage(&_cell_state_out3); _gemm_cell_state1.configure(compile_context, output_state_in, &_cell_state_out2, nullptr, &_cell_state_out3, 1.f, 0.f); _cell_state_out2.allocator()->allocate(); @@ -680,7 +681,12 @@ void CLLSTMLayer::run() } _fully_connected_cell_state.run(); - CLScheduler::get().enqueue(*_transpose_cell_state); + ITensorPack pack; + pack.add_tensor(TensorType::ACL_SRC, _recurrent_to_cell_weights); + pack.add_tensor(TensorType::ACL_DST, &_cell_state_out2); + CLScheduler::get().enqueue_op(*_transpose_cell_state, + pack, + false); _gemm_cell_state1.run(); _accum_cell_state1.run(); if(_is_layer_norm_lstm) |