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authorTeresa Charlin <teresa.charlinreyes@arm.com>2021-02-25 20:15:01 +0000
committerGeorgios Pinitas <georgios.pinitas@arm.com>2021-03-29 20:23:11 +0000
commit2788609b8a10306e9eae47543b39812a7b075aaa (patch)
tree81515046e0c06d6a21ecdcebfe083ea5922fea0c /src/runtime/CL/functions/CLLSTMLayer.cpp
parentf9a611a1fd309bb9a906c99eede5e6b7bceba26b (diff)
downloadComputeLibrary-2788609b8a10306e9eae47543b39812a7b075aaa.tar.gz
Port ClTranspose to new API
Partially Resolves: COMPMID-4277 (1/2) Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I704c2303135cbe1ba46d2fd5642c84c562204bc7 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5194 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLLSTMLayer.cpp')
-rw-r--r--src/runtime/CL/functions/CLLSTMLayer.cpp14
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)