COMPMID-3639: (3RDPARTY_UPDATE) Move CL kernels to src
Change-Id: I10d27db788e5086adae1841e3e2441cd9b76ef84
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4310
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
diff --git a/src/core/CL/kernels/CLFuseBatchNormalizationKernel.h b/src/core/CL/kernels/CLFuseBatchNormalizationKernel.h
new file mode 100644
index 0000000..78b1e74
--- /dev/null
+++ b/src/core/CL/kernels/CLFuseBatchNormalizationKernel.h
@@ -0,0 +1,126 @@
+/*
+ * Copyright (c) 2018-2020 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_CLFUSEBATCHNORMALIZATIONKERNEL_H
+#define ARM_COMPUTE_CLFUSEBATCHNORMALIZATIONKERNEL_H
+
+#include "src/core/CL/ICLKernel.h"
+
+namespace arm_compute
+{
+// Forward declarations
+class ICLTensor;
+
+/** OpenCL kernel to fuse the batch normalization node to a preceding convolution node */
+class CLFuseBatchNormalizationKernel : public ICLKernel
+{
+public:
+ /** Default constructor */
+ CLFuseBatchNormalizationKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLFuseBatchNormalizationKernel(const CLFuseBatchNormalizationKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLFuseBatchNormalizationKernel &operator=(const CLFuseBatchNormalizationKernel &) = delete;
+ /** Allow instances of this class to be moved */
+ CLFuseBatchNormalizationKernel(CLFuseBatchNormalizationKernel &&) = default;
+ /** Allow instances of this class to be moved */
+ CLFuseBatchNormalizationKernel &operator=(CLFuseBatchNormalizationKernel &&) = default;
+ /** Default destructor */
+ ~CLFuseBatchNormalizationKernel() = default;
+ /** Set the source, destination of the kernel
+ *
+ * @param[in] input_weights Input weights tensor for convolution or depthwise convolution layer. Data type supported: F16/F32. Data layout supported: NCHW, NHWC
+ * @param[in] bn_mean Batch normalization layer mean tensor. Same as @p input_weights
+ * @param[in] bn_var Batch normalization layer variance tensor. Same as @p input_weights
+ * @param[out] fused_weights Output fused weights tensor. It can be a nullptr in case of in-place computation. Same as @p input_weights
+ * @param[out] fused_bias Output fused bias tensor. It can be a nullptr in case of in-place computation and input_bias != nullptr. Same as @p input_weights
+ * @param[in] input_bias (Optional) Input bias tensor for convolution or depthwise convolution layer. It can be a nullptr in case the bias tensor is not required. Same as @p input_weights
+ * @param[in] bn_beta (Optional) Batch normalization layer beta tensor. It can be a nullptr in case the beta tensor is not required. Same as @p input_weights
+ * @note if nullptr, bn_beta is set to 0.0
+ * @param[in] bn_gamma (Optional) Batch normalization layer gamma tensor. It can be a nullptr in case the gamma tensor is not required. Same as @p input_weights
+ * @note if nullptr, bn_gamma is set to 1.0
+ * @param[in] epsilon (Optional) Batch normalization layer epsilon parameter. Defaults to 0.001f.
+ * @param[in] fbn_type (Optional) Fused batch normalization type. Defaults to CONVOLUTION.
+ */
+ void configure(const ICLTensor *input_weights, const ICLTensor *bn_mean, const ICLTensor *bn_var, ICLTensor *fused_weights, ICLTensor *fused_bias,
+ const ICLTensor *input_bias = nullptr, const ICLTensor *bn_beta = nullptr, const ICLTensor *bn_gamma = nullptr,
+ float epsilon = 0.001f, FuseBatchNormalizationType fbn_type = FuseBatchNormalizationType::CONVOLUTION);
+ /** Set the source, destination of the kernel
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] input_weights Input weights tensor for convolution or depthwise convolution layer. Data type supported: F16/F32. Data layout supported: NCHW, NHWC
+ * @param[in] bn_mean Batch normalization layer mean tensor. Same as @p input_weights
+ * @param[in] bn_var Batch normalization layer variance tensor. Same as @p input_weights
+ * @param[out] fused_weights Output fused weights tensor. It can be a nullptr in case of in-place computation. Same as @p input_weights
+ * @param[out] fused_bias Output fused bias tensor. It can be a nullptr in case of in-place computation and input_bias != nullptr. Same as @p input_weights
+ * @param[in] input_bias (Optional) Input bias tensor for convolution or depthwise convolution layer. It can be a nullptr in case the bias tensor is not required. Same as @p input_weights
+ * @param[in] bn_beta (Optional) Batch normalization layer beta tensor. It can be a nullptr in case the beta tensor is not required. Same as @p input_weights
+ * @note if nullptr, bn_beta is set to 0.0
+ * @param[in] bn_gamma (Optional) Batch normalization layer gamma tensor. It can be a nullptr in case the gamma tensor is not required. Same as @p input_weights
+ * @note if nullptr, bn_gamma is set to 1.0
+ * @param[in] epsilon (Optional) Batch normalization layer epsilon parameter. Defaults to 0.001f.
+ * @param[in] fbn_type (Optional) Fused batch normalization type. Defaults to CONVOLUTION.
+ */
+ void configure(const CLCompileContext &compile_context, const ICLTensor *input_weights, const ICLTensor *bn_mean, const ICLTensor *bn_var, ICLTensor *fused_weights, ICLTensor *fused_bias,
+ const ICLTensor *input_bias = nullptr, const ICLTensor *bn_beta = nullptr, const ICLTensor *bn_gamma = nullptr,
+ float epsilon = 0.001f, FuseBatchNormalizationType fbn_type = FuseBatchNormalizationType::CONVOLUTION);
+ /** Static function to check if given info will lead to a valid configuration of @ref CLFuseBatchNormalizationKernel
+ *
+ * @param[in] input_weights Input weights tensor info for convolution or depthwise convolution layer. Data type supported: F16/F32. Data layout supported: NCHW, NHWC
+ * @param[in] bn_mean Batch normalization layer mean tensor info. Same as @p input_weights
+ * @param[in] bn_var Batch normalization layer variance tensor info. Same as @p input_weights
+ * @param[in] fused_weights Output fused weights tensor info. It can be a nullptr in case of in-place computation. Same as @p input_weights
+ * @param[in] fused_bias Output fused bias tensor info. It can be a nullptr in case of in-place computation and input_bias != nullptr. Same as @p input_weights
+ * @param[in] input_bias (Optional) Input bias tensor info for convolution or depthwise convolution layer. It can be a nullptr in case the bias tensor is not required. Same as @p input_weights
+ * @param[in] bn_beta (Optional) Batch normalization layer beta tensor info. It can be a nullptr in case the beta tensor is not required. Same as @p input_weights
+ * @note if nullptr, bn_beta is set to 0.0
+ * @param[in] bn_gamma (Optional) Batch normalization layer gamma tensor info. It can be a nullptr in case the gamma tensor is not required. Same as @p input_weights
+ * @note if nullptr, bn_gamma is set to 1.0
+ * @param[in] epsilon (Optional) Batch normalization layer epsilon parameter. Defaults to 0.001f.
+ * @param[in] fbn_type (Optional) Fused batch normalization type. Defaults to CONVOLUTION.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input_weights, const ITensorInfo *bn_mean, const ITensorInfo *bn_var,
+ const ITensorInfo *fused_weights, const ITensorInfo *fused_bias,
+ const ITensorInfo *input_bias = nullptr, const ITensorInfo *bn_beta = nullptr, const ITensorInfo *bn_gamma = nullptr,
+ float epsilon = 0.001f, FuseBatchNormalizationType fbn_type = FuseBatchNormalizationType::CONVOLUTION);
+
+ // Inherited methods overridden:
+ void run(const Window &window, cl::CommandQueue &queue) override;
+
+private:
+ const ICLTensor *_input_weights;
+ const ICLTensor *_input_bias;
+ const ICLTensor *_bn_mean;
+ const ICLTensor *_bn_var;
+ const ICLTensor *_bn_gamma;
+ const ICLTensor *_bn_beta;
+ ICLTensor *_fused_weights;
+ ICLTensor *_fused_bias;
+ float _epsilon;
+ bool _run_in_place_weights;
+ bool _run_in_place_bias;
+};
+} // namespace arm_compute
+#endif /*ARM_COMPUTE_CLFUSEBATCHNORMALIZATIONKERNEL_H */