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authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-03-08 19:09:19 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:49:16 +0000
commit1562be3e8a449360a90af75f6f1481a30d41be75 (patch)
tree3180551f4c8595ae5c9630694754f3b1f8b493b1 /arm_compute/runtime
parent684cb0f29d23fbe418e5e5347234abf9eccef363 (diff)
downloadComputeLibrary-1562be3e8a449360a90af75f6f1481a30d41be75.tar.gz
COMPMID-998: Release unused trainable parameters.
Change-Id: I361a520f34080016a25bc86e1e6789777c5152c1 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/124432 Reviewed-by: Anthony Barbier <anthony.barbier@arm.com> Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime')
-rw-r--r--arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h10
-rw-r--r--arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h11
-rw-r--r--arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h10
-rw-r--r--arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h9
-rw-r--r--arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h10
-rw-r--r--arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h11
-rw-r--r--arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h11
-rw-r--r--arm_compute/runtime/NEON/functions/NELocallyConnectedLayer.h9
8 files changed, 78 insertions, 3 deletions
diff --git a/arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h
index eb12fe4cca..d6fc8f0fcc 100644
--- a/arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h
@@ -83,6 +83,14 @@ class CLDepthwiseConvolutionLayer : public IFunction
public:
/** Default constructor */
CLDepthwiseConvolutionLayer();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLDepthwiseConvolutionLayer(const CLDepthwiseConvolutionLayer &) = delete;
+ /** Default move constructor */
+ CLDepthwiseConvolutionLayer(CLDepthwiseConvolutionLayer &&) = default;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLDepthwiseConvolutionLayer &operator=(const CLDepthwiseConvolutionLayer &) = delete;
+ /** Default move assignment operator */
+ CLDepthwiseConvolutionLayer &operator=(CLDepthwiseConvolutionLayer &&) = default;
/** Initialize the function's source, destination, weights and convolution information.
*
* @param[in, out] input Source tensor. Data type supported: QASYMM8/F32. (Written to only for border filling).
@@ -109,7 +117,9 @@ private:
CLTensor _weights_reshaped;
CLTensor _v2mm_output;
CLTensor _output_reshaped;
+ bool _is_first_run;
bool _is_quantized;
+ const ICLTensor *_original_weights;
};
}
#endif /*__ARM_COMPUTE_CLDEPTHWISECONVOLUTION_H__ */
diff --git a/arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h b/arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h
index 1e9ee492ad..ad821318e9 100644
--- a/arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h
+++ b/arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -76,6 +76,14 @@ class CLFullyConnectedLayer : public IFunction
public:
/** Constructor */
CLFullyConnectedLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLFullyConnectedLayer(const CLFullyConnectedLayer &) = delete;
+ /** Default move constructor */
+ CLFullyConnectedLayer(CLFullyConnectedLayer &&) = default;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLFullyConnectedLayer &operator=(const CLFullyConnectedLayer &) = delete;
+ /** Default move assignment operator */
+ CLFullyConnectedLayer &operator=(CLFullyConnectedLayer &&) = default;
/** Set the input and output tensors.
*
* @param[in] input Source tensor. Data type supported: QS8/QASYMM8/QS16/F16/F32.
@@ -121,6 +129,7 @@ private:
bool _is_fc_after_conv;
bool _accumulate_biases;
bool _is_quantized;
+ const ICLTensor *_original_weights;
};
}
#endif /* __ARM_COMPUTE_CLFULLYCONNECTEDLAYER_H__ */
diff --git a/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h
index dc1211a51a..91d35ca0b2 100644
--- a/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h
@@ -103,6 +103,14 @@ public:
* @param[in] memory_manager (Optional) Memory manager.
*/
CLGEMMConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLGEMMConvolutionLayer(const CLGEMMConvolutionLayer &) = delete;
+ /** Default move constructor */
+ CLGEMMConvolutionLayer(CLGEMMConvolutionLayer &&) = default;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLGEMMConvolutionLayer &operator=(const CLGEMMConvolutionLayer &) = delete;
+ /** Default move assignment operator */
+ CLGEMMConvolutionLayer &operator=(CLGEMMConvolutionLayer &&) = default;
/** Set the input and output tensors.
*
* @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
@@ -172,6 +180,8 @@ private:
CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint _gemmlowp_output_stage;
CLCol2ImKernel _col2im_kernel;
+ const ICLTensor *_original_weights;
+
CLTensor _im2col_output;
CLTensor _weights_reshaped;
CLTensor _gemm_output;
diff --git a/arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h b/arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h
index e5aafd8547..b7b2587454 100644
--- a/arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h
+++ b/arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h
@@ -53,6 +53,14 @@ class CLLocallyConnectedLayer : public IFunction
public:
/** Default constructor */
CLLocallyConnectedLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLLocallyConnectedLayer(const CLLocallyConnectedLayer &) = delete;
+ /** Default move constructor */
+ CLLocallyConnectedLayer(CLLocallyConnectedLayer &&) = default;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLLocallyConnectedLayer &operator=(const CLLocallyConnectedLayer &) = delete;
+ /** Default move assignment operator */
+ CLLocallyConnectedLayer &operator=(CLLocallyConnectedLayer &&) = default;
/** Set the input and output tensors.
*
* @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
@@ -93,6 +101,7 @@ private:
CLTensor _weights_reshaped;
CLTensor _gemm_output;
bool _is_first_run;
+ const ICLTensor *_original_weights;
};
}
#endif /* __ARM_COMPUTE_CLLOCALLYCONNECTEDLAYER_H__ */
diff --git a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
index f5805f5ad1..fe65ac1a43 100644
--- a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
@@ -97,6 +97,14 @@ class NEDepthwiseConvolutionLayer : public IFunction
public:
/** Default constructor */
NEDepthwiseConvolutionLayer();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEDepthwiseConvolutionLayer(const NEDepthwiseConvolutionLayer &) = delete;
+ /** Default move constructor */
+ NEDepthwiseConvolutionLayer(NEDepthwiseConvolutionLayer &&) = default;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEDepthwiseConvolutionLayer &operator=(const NEDepthwiseConvolutionLayer &) = delete;
+ /** Default move assignment operator */
+ NEDepthwiseConvolutionLayer &operator=(NEDepthwiseConvolutionLayer &&) = default;
/** Initialize the function's source, destination, weights and convolution information.
*
* @param[in, out] input Source tensor. Data type supported: QASYMM8/F32. (Written to only for border filling).
@@ -123,7 +131,9 @@ private:
Tensor _weights_reshaped;
Tensor _v2mm_output;
Tensor _output_reshaped;
+ bool _is_first_run;
bool _is_quantized;
+ const ITensor *_original_weights;
};
}
#endif /* __ARM_COMPUTE_NEDEPTHWISECONVOLUTION_H__ */ \ No newline at end of file
diff --git a/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h b/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h
index 9bc8d21fc4..071eecc3f7 100644
--- a/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h
@@ -94,6 +94,14 @@ class NEFullyConnectedLayer : public IFunction
public:
/** Constructor */
NEFullyConnectedLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEFullyConnectedLayer(const NEFullyConnectedLayer &) = delete;
+ /** Default move constructor */
+ NEFullyConnectedLayer(NEFullyConnectedLayer &&) = default;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEFullyConnectedLayer &operator=(const NEFullyConnectedLayer &) = delete;
+ /** Default move assignment operator */
+ NEFullyConnectedLayer &operator=(NEFullyConnectedLayer &&) = default;
/** Set the input and output tensors.
*
* @param[in] input Source tensor. Data type supported: QS8/QS16/F32.
@@ -134,6 +142,7 @@ private:
bool _is_batched_fc_layer;
bool _linearize_input;
bool _accumulate_biases;
+ const ITensor *_original_weights;
};
-}
+} // namespace arm_compute
#endif /* __ARM_COMPUTE_NEFULLYCONNECTEDLAYER_H__ */
diff --git a/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
index 43e9304414..e733fec4b6 100644
--- a/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
@@ -101,7 +101,14 @@ class NEGEMMConvolutionLayer : public IFunction
public:
/** Constructor */
NEGEMMConvolutionLayer(const std::shared_ptr<IMemoryManager> &memory_manager = nullptr);
-
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEGEMMConvolutionLayer(const NEGEMMConvolutionLayer &) = delete;
+ /** Default move constructor */
+ NEGEMMConvolutionLayer(NEGEMMConvolutionLayer &&) = default;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEGEMMConvolutionLayer &operator=(const NEGEMMConvolutionLayer &) = delete;
+ /** Default move assignment operator */
+ NEGEMMConvolutionLayer &operator=(NEGEMMConvolutionLayer &&) = default;
/** Set the input and output tensors.
*
* @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
@@ -165,6 +172,8 @@ private:
NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint _gemmlowp_output_stage;
NECol2ImKernel _output_col2im_kernel;
+ const ITensor *_original_weights;
+
Tensor _input_im2col_reshaped;
Tensor _input_interleaved_reshaped;
Tensor _weights_reshaped;
diff --git a/arm_compute/runtime/NEON/functions/NELocallyConnectedLayer.h b/arm_compute/runtime/NEON/functions/NELocallyConnectedLayer.h
index e07f09c588..18cd27414e 100644
--- a/arm_compute/runtime/NEON/functions/NELocallyConnectedLayer.h
+++ b/arm_compute/runtime/NEON/functions/NELocallyConnectedLayer.h
@@ -53,6 +53,14 @@ class NELocallyConnectedLayer : public IFunction
public:
/** Default constructor */
NELocallyConnectedLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NELocallyConnectedLayer(const NELocallyConnectedLayer &) = delete;
+ /** Default move constructor */
+ NELocallyConnectedLayer(NELocallyConnectedLayer &&) = default;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NELocallyConnectedLayer &operator=(const NELocallyConnectedLayer &) = delete;
+ /** Default move assignment operator */
+ NELocallyConnectedLayer &operator=(NELocallyConnectedLayer &&) = default;
/** Set the input and output tensors.
*
* @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
@@ -93,6 +101,7 @@ private:
Tensor _weights_reshaped;
Tensor _gemm_output;
bool _is_first_run;
+ const ITensor *_original_weights;
};
}
#endif /* __ARM_COMPUTE_NELOCALLYCONNECTEDLAYER_H__ */