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authorFelix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>2023-09-27 17:46:17 +0100
committerfelixjohnny.thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>2023-09-28 12:08:05 +0000
commitafd38f0c617d6f89b2b4532c6c44f116617e2b6f (patch)
tree03bc7d5a762099989b16a656fa8d397b490ed70e /arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h
parentbdcb4c148ee2fdeaaddf4cf1e57bbb0de02bb894 (diff)
downloadComputeLibrary-afd38f0c617d6f89b2b4532c6c44f116617e2b6f.tar.gz
Apply clang-format on repository
Code is formatted as per a revised clang format configuration file(not part of this delivery). Version 14.0.6 is used. Exclusion List: - files with .cl extension - files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...) And the following directories - compute_kernel_writer/validation/ - tests/ - include/ - src/core/NEON/kernels/convolution/ - src/core/NEON/kernels/arm_gemm/ - src/core/NEON/kernels/arm_conv/ - data/ There will be a follow up for formatting of .cl files and the files under tests/ and compute_kernel_writer/validation/. Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h')
-rw-r--r--arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h24
1 files changed, 20 insertions, 4 deletions
diff --git a/arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h b/arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h
index 985a6a75f7..98d215dd4b 100644
--- a/arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h
+++ b/arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h
@@ -83,7 +83,12 @@ public:
* @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12
* @param[in] use_mixed_precision (Optional) Use mixed precision in case of FP16 execution
*/
- void configure(ICLTensor *input, ICLTensor *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f, bool use_mixed_precision = true);
+ void configure(ICLTensor *input,
+ ICLTensor *output,
+ float gamma = 1.0f,
+ float beta = 0.0f,
+ float epsilon = 1e-12f,
+ bool use_mixed_precision = true);
/** Set the input and output tensors.
*
* @param[in] compile_context The compile context to be used.
@@ -95,7 +100,13 @@ public:
* @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12
* @param[in] use_mixed_precision (Optional) Use mixed precision in case of FP16 execution
*/
- void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f, bool use_mixed_precision = true);
+ void configure(const CLCompileContext &compile_context,
+ ICLTensor *input,
+ ICLTensor *output,
+ float gamma = 1.0f,
+ float beta = 0.0f,
+ float epsilon = 1e-12f,
+ bool use_mixed_precision = true);
/** Static function to check if given info will lead to a valid configuration of @ref CLInstanceNormalizationLayer.
*
@@ -108,8 +119,13 @@ public:
*
* @return a status
*/
- static Status validate(const ITensorInfo *input, const ITensorInfo *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f, bool use_mixed_precision = true);
- void run() override;
+ static Status validate(const ITensorInfo *input,
+ const ITensorInfo *output,
+ float gamma = 1.0f,
+ float beta = 0.0f,
+ float epsilon = 1e-12f,
+ bool use_mixed_precision = true);
+ void run() override;
private:
std::unique_ptr<ICLKernel> _inst_norm_kernel; /**< Kernel to run */