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authorPablo Marquez Tello <pablo.tello@arm.com>2023-09-04 16:08:33 +0100
committerPablo Marquez Tello <pablo.tello@arm.com>2023-09-13 09:16:23 +0000
commit145e82e74916a801bd12720564c837c8286042d0 (patch)
treea66edf213bde752b572376dfa636191cb1e45880 /src/cpu/kernels/instancenorm/generic/neon/impl.cpp
parentcf219a4be6e9e9637193b5c9aa4f1eedd0a23900 (diff)
downloadComputeLibrary-145e82e74916a801bd12720564c837c8286042d0.tar.gz
Changes to InstanceNrom to enable fp16 in armv8a multi_isa builds
* Code guarded with __ARM_FEATURE_FP16_VECTOR_ARITHMETIC needs to be moved to an fp16.cpp file to allow compilation with -march=armv8.2-a+fp16 * Partially resolves MLCE-1102 Change-Id: If53ff1927948b3ad7c9e3c9347bc2af38764e342 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10243 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/cpu/kernels/instancenorm/generic/neon/impl.cpp')
-rw-r--r--src/cpu/kernels/instancenorm/generic/neon/impl.cpp29
1 files changed, 1 insertions, 28 deletions
diff --git a/src/cpu/kernels/instancenorm/generic/neon/impl.cpp b/src/cpu/kernels/instancenorm/generic/neon/impl.cpp
index e35cf97608..483b6f568b 100644
--- a/src/cpu/kernels/instancenorm/generic/neon/impl.cpp
+++ b/src/cpu/kernels/instancenorm/generic/neon/impl.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2022 Arm Limited.
+ * Copyright (c) 2019-2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -37,35 +37,12 @@ void vector_float_sum(AccType &result, AccType &result_square, const InputType &
result_square = wrapper::vadd(result_square, wrapper::vmul(inputs, inputs));
}
-#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
-template <>
-inline void vector_float_sum(float32x4_t &result, float32x4_t &result_square, const float16x8_t &inputs)
-{
- vector_float_sum(result, result_square, wrapper::vcvt<float>(wrapper::vgetlow(inputs)));
- vector_float_sum(result, result_square, wrapper::vcvt<float>(wrapper::vgethigh(inputs)));
-}
-template <>
-inline float16x8_t vector_float_norm(const float16x8_t &inputs, const float32x4_t &vec_mean, const float32x4_t &vec_multip, const float32x4_t &vec_beta)
-{
- const auto input_low = wrapper::vcvt<float>(wrapper::vgetlow(inputs));
- const auto input_high = wrapper::vcvt<float>(wrapper::vgethigh(inputs));
- const auto result_low = wrapper::vcvt<float16_t>(vector_float_norm(input_low, vec_mean, vec_multip, vec_beta));
- const auto result_high = wrapper::vcvt<float16_t>(vector_float_norm(input_high, vec_mean, vec_multip, vec_beta));
- float16x8_t result = wrapper::vcombine(result_low, result_high);
-
- return result;
-}
-#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
-
template <typename InputType, typename AccType>
InputType vector_float_norm(const InputType &inputs, const AccType &vec_mean, const AccType &vec_multip, const AccType &vec_beta)
{
return wrapper::vadd(wrapper::vmul(wrapper::vsub(inputs, vec_mean), vec_multip), vec_beta);
}
-#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
-
-#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
template <typename T, typename AccType>
void instance_normalization_nchw(ITensor *input, ITensor *output, float gamma, float beta, float epsilon, const Window &window)
{
@@ -164,9 +141,5 @@ void instance_normalization_nchw(ITensor *input, ITensor *output, float gamma, f
}
template void instance_normalization_nchw<float>(ITensor *input, ITensor *output, float gamma, float beta, float epsilon, const Window &window);
-#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS)
-template void instance_normalization_nchw<float16_t, float>(ITensor *input, ITensor *output, float gamma, float beta, float epsilon, const Window &window);
-template void instance_normalization_nchw<float16_t>(ITensor *input, ITensor *output, float gamma, float beta, float epsilon, const Window &window);
-#endif //defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS)
} // namespace cpu
} // namespace arm_compute