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author | Manuel Bottini <manuel.bottini@arm.com> | 2020-04-08 10:15:51 +0100 |
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committer | Manuel Bottini <manuel.bottini@arm.com> | 2020-04-23 17:53:59 +0000 |
commit | 2b84be544e4a27f7e8e80827e9c85c8f0d58b4ce (patch) | |
tree | 078051a911f9b8883a3f11955cfd3b7ba0d7d9f3 /arm_compute/runtime/CL/functions/CLLSTMLayer.h | |
parent | 0de45d0a8009e19331c4e29d617fa183167c513a (diff) | |
download | ComputeLibrary-2b84be544e4a27f7e8e80827e9c85c8f0d58b4ce.tar.gz |
COMPMID-3280: Make all ML primitives for CL use the new interface - Part 2
- CLFunctions have been updated
Change-Id: Ie3256a6c775bc12f3126482bd8e8a46da54b267c
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3053
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLLSTMLayer.h')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLLSTMLayer.h | 46 |
1 files changed, 46 insertions, 0 deletions
diff --git a/arm_compute/runtime/CL/functions/CLLSTMLayer.h b/arm_compute/runtime/CL/functions/CLLSTMLayer.h index a94f239472..a29513aaae 100644 --- a/arm_compute/runtime/CL/functions/CLLSTMLayer.h +++ b/arm_compute/runtime/CL/functions/CLLSTMLayer.h @@ -102,6 +102,52 @@ public: const ICLTensor *output_state_in, const ICLTensor *cell_state_in, ICLTensor *scratch_buffer, ICLTensor *output_state_out, ICLTensor *cell_state_out, ICLTensor *output, const LSTMParams<ICLTensor> &lstm_params, const ActivationLayerInfo &activation_info, float cell_threshold = 0.f, float projection_threshold = 0.f); + /** Initialize function's tensors. + * + * @param[in] compile_context The compile context to be used. + * @param[in] input Source tensor. Input is a 2D tensor with dimensions [input_size, batch_size]. Data types supported: F16/F32. + * @param[in] input_to_forget_weights 2D weights tensor with dimensions [input_size, num_units]. Data type supported: Same as @p input. + * @param[in] input_to_cell_weights 2D weights tensor with dimensions [input_size, num_units]. Data type supported: Same as @p input. + * @param[in] input_to_output_weights 2D weights tensor with dimensions [input_size, num_units]. Data type supported: Same as @p input. + * @param[in] recurrent_to_forget_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. + * @param[in] recurrent_to_cell_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. + * @param[in] recurrent_to_output_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. + * @param[in] forget_gate_bias 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * @param[in] cell_bias 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * @param[in] output_gate_bias 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * @param[in] output_state_in 2D weights tensor with dimensions [output_size, batch_size]. Data type supported: Same as @p input. + * @param[in] cell_state_in 2D tensor with dimensions [num_units, batch_size]. Data type supported: Same as @p input. + * @param[out] scratch_buffer 2D tensor with dimensions [num_units * 4, batch_size] with CIFG or [num_units * 3, batch_size] without CIGF. Data type supported: Same as @p input. + * @param[out] output_state_out 2D weights tensor with dimensions [output_size, batch_size]. Data type supported: Same as @p input. + * @param[out] cell_state_out 2D tensor with dimensions [num_units, batch_size]. Data type supported: Same as @p input. + * @param[out] output Destination tensor. Output is a 2D tensor with dimensions [output_size, batch_size]. + * Data types supported: Same as @p input. + * @param[in] lstm_params Weights tensors used in peephole optimization: + * input_to_input_weights 2D weights tensor with dimensions [input_size, num_units]. Data type supported: Same as @p input. + * recurrent_to_input_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. + * cell_to_input_weights 1D weights tensor with dimensions [num_units]. Can be nullptr. Data type supported: Same as @p input. + * cell_to_forget_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * cell_to_output_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * input_gate_bias 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input + * projection_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. + * projection_bias 1D weights tensor with dimensions [output_size]. Data type supported: Same as @p input. + * input_layer_norm_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * forget_layer_norm_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * cell_layer_norm_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * output_layer_norm_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * @param[in] activation_info Contains activation information described in @ref ActivationLayerInfo. + * @param[in] cell_threshold (Optional) The clipping threshold for the cell state, such that values are bound within [-cell_clip, cell_clip]. + * If set to 0.0f then clipping is disabled. + * @param[in] projection_threshold (Optional) The clipping threshold for the output from the projection layer, such that values are bound within [-proj_clip, proj_clip]. + * If set to 0.0f then clipping is disabled. + */ + void configure(const CLCompileContext &compile_context, const ICLTensor *input, + const ICLTensor *input_to_forget_weights, const ICLTensor *input_to_cell_weights, const ICLTensor *input_to_output_weights, + const ICLTensor *recurrent_to_forget_weights, const ICLTensor *recurrent_to_cell_weights, const ICLTensor *recurrent_to_output_weights, + const ICLTensor *forget_gate_bias, const ICLTensor *cell_bias, const ICLTensor *output_gate_bias, + const ICLTensor *output_state_in, const ICLTensor *cell_state_in, + ICLTensor *scratch_buffer, ICLTensor *output_state_out, ICLTensor *cell_state_out, ICLTensor *output, + const LSTMParams<ICLTensor> &lstm_params, const ActivationLayerInfo &activation_info, float cell_threshold = 0.f, float projection_threshold = 0.f); /** Static function to check if given info will lead to a valid configuration of @ref CLLSTMLayer * |