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author | Michalis Spyrou <michalis.spyrou@arm.com> | 2018-06-05 11:45:48 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:53:09 +0000 |
commit | 542e92d95536f2ab7fc6f1cc1aa1bd4f1d471212 (patch) | |
tree | a4c03807d9731c1305b6f446282d3f4b97cfb595 /arm_compute/runtime/NEON | |
parent | 72219330fd85b1271e714d4ba894d6d8e26340c9 (diff) | |
download | ComputeLibrary-542e92d95536f2ab7fc6f1cc1aa1bd4f1d471212.tar.gz |
COMPMID-1067 NEON RNN FP32 / FP16
Change-Id: I440df2b2af512fd874651baf28428caa6f8e0b41
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/134433
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON')
-rw-r--r-- | arm_compute/runtime/NEON/NEFunctions.h | 1 | ||||
-rw-r--r-- | arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h | 2 | ||||
-rw-r--r-- | arm_compute/runtime/NEON/functions/NERNNLayer.h | 96 |
3 files changed, 98 insertions, 1 deletions
diff --git a/arm_compute/runtime/NEON/NEFunctions.h b/arm_compute/runtime/NEON/NEFunctions.h index bd4097c6d3..b83675b779 100644 --- a/arm_compute/runtime/NEON/NEFunctions.h +++ b/arm_compute/runtime/NEON/NEFunctions.h @@ -95,6 +95,7 @@ #include "arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h" #include "arm_compute/runtime/NEON/functions/NEPoolingLayer.h" #include "arm_compute/runtime/NEON/functions/NEQuantizationLayer.h" +#include "arm_compute/runtime/NEON/functions/NERNNLayer.h" #include "arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h" #include "arm_compute/runtime/NEON/functions/NEReductionOperation.h" #include "arm_compute/runtime/NEON/functions/NERemap.h" diff --git a/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h b/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h index 2739f5ebef..42c9e2d3e9 100644 --- a/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h +++ b/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h @@ -104,7 +104,7 @@ public: NEFullyConnectedLayer &operator=(NEFullyConnectedLayer &&) = default; /** Set the input and output tensors. * - * @param[in] input Source tensor. Data type supported: QS8/QS16/F32. + * @param[in] input Source tensor. Data type supported: QS8/QS16/F16/F32. * @param[in] weights Weights tensor. The weights must be 2 dimensional. Data type supported: Same as @p input. * @param[in] biases Bias tensor. Can be nullptr. Data type supported:Same as @p input. * @param[out] output Destination tensor. Data type supported: Same as @p input. diff --git a/arm_compute/runtime/NEON/functions/NERNNLayer.h b/arm_compute/runtime/NEON/functions/NERNNLayer.h new file mode 100644 index 0000000000..f1398eb3cc --- /dev/null +++ b/arm_compute/runtime/NEON/functions/NERNNLayer.h @@ -0,0 +1,96 @@ +/* + * Copyright (c) 2018 ARM Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#ifndef __ARM_COMPUTE_NERNNLAYER_H__ +#define __ARM_COMPUTE_NERNNLAYER_H__ + +#include "arm_compute/core/NEON/kernels/NEActivationLayerKernel.h" +#include "arm_compute/core/NEON/kernels/NEArithmeticAdditionKernel.h" +#include "arm_compute/runtime/NEON/INESimpleFunction.h" + +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h" +#include "arm_compute/runtime/NEON/functions/NEGEMM.h" + +namespace arm_compute +{ +// Forward declarations +class ITensor; + +/** Basic function to run @ref NERNNLayer */ +class NERNNLayer : public IFunction +{ +public: + /** Default constructor */ + NERNNLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NERNNLayer(const NERNNLayer &) = delete; + /** Default move constructor */ + NERNNLayer(NERNNLayer &&) = default; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NERNNLayer &operator=(const NERNNLayer &) = delete; + /** Default move assignment operator */ + NERNNLayer &operator=(NERNNLayer &&) = default; + /** Initialize the function + * + * @param[in] input Input is a 2-D tensor of shape [input_size, batch_size]. Data types supported: F16/F32 + * @param[in] weights Weights tensor of shape [input_size, num_units] that multiplies the input. Data types supported: Same as @p input + * @param[in] recurrent_weights Weights tensor of shape [num_units, num_units] that multiplies the current 'state'. Data types supported: Same as @p input + * @param[in] bias Bias vector of shape [num_units]. Data types supported: Same as @p input + * @param[out] output Output tensor of shape [num_units, batch_size]. Data types supported: Same as @p input + * @param[in,out] hidden_state Output tensor of shape [num_units, batch_size]. Data types supported: Same as @p input + * @param[in] info Activation layer parameter. + */ + void configure(const ITensor *input, const ITensor *weights, const ITensor *recurrent_weights, const ITensor *bias, ITensor *hidden_state, ITensor *output, ActivationLayerInfo &info); + /** Initialize the function + * + * @param[in] input Input is a 2-D tensor of shape [input_size, batch_size]. Data types supported: F16/F32 + * @param[in] weights Weights tensor of shape [input_size, num_units] that multiplies the input. Data types supported: Same as @p input + * @param[in] recurrent_weights Weights tensor of shape [num_units, num_units] that multiplies the current 'state'. Data types supported: Same as @p input + * @param[in] bias Bias vector of shape [num_units]. Data types supported: Same as @p input + * @param[in] output Output tensor of shape [num_units, batch_size]. Data types supported: Same as @p input + * @param[in] hidden_state Output tensor of shape [num_units, batch_size]. Data types supported: Same as @p input + * @param[in] info Activation layer parameter. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *recurrent_weights, const ITensorInfo *bias, const ITensorInfo *hidden_state, const ITensorInfo *output, + const ActivationLayerInfo &info); + + // Inherited methods overridden: + void run() override; + +private: + MemoryGroup _memory_group; + NEGEMM _gemm_state_f; + NEArithmeticAdditionKernel _add_kernel; + NEActivationLayerKernel _activation_kernel; + NEFullyConnectedLayer _fully_connected_kernel; + Tensor _fully_connected_out; + Tensor _gemm_output; + Tensor _add_output; + ITensor *_hidden_state; + ITensor *_output; +}; +} // namespace arm_compute +#endif /* __ARM_COMPUTE_NERNNLAYER_H__ */ |