diff options
Diffstat (limited to 'src/cpu/kernels/fuse_batch_normalization/nchw/all.cpp')
| -rw-r--r-- | src/cpu/kernels/fuse_batch_normalization/nchw/all.cpp | 133 |
1 files changed, 1 insertions, 132 deletions
diff --git a/src/cpu/kernels/fuse_batch_normalization/nchw/all.cpp b/src/cpu/kernels/fuse_batch_normalization/nchw/all.cpp index c0b0dfd4dc..25580e1bec 100644 --- a/src/cpu/kernels/fuse_batch_normalization/nchw/all.cpp +++ b/src/cpu/kernels/fuse_batch_normalization/nchw/all.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2022 Arm Limited. + * Copyright (c) 2018-2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -28,120 +28,6 @@ namespace arm_compute { namespace cpu { -template <typename T> -void fused_batch_normalization_dwc_nchw(const ITensor *dwc_weights, - const ITensor *dwc_bias, - ITensor *fused_weights, - ITensor *fused_bias, - const ITensor *bn_mean, - const ITensor *bn_var, - const ITensor *bn_beta, - const ITensor *bn_gamma, - float epsilon, - const Window &window) -{ - using ScalarType = T; - const int size = 16 / dwc_weights->info()->element_size(); - using ExactTagType = typename wrapper::traits::neon_bitvector_tag_t<T, wrapper::traits::BitWidth::W128>; - - const bool run_in_place_weights = (fused_weights == nullptr) || (fused_weights == dwc_weights); - const bool run_in_place_bias = (fused_bias == nullptr) || (dwc_bias != nullptr && fused_bias == dwc_bias); - - // Set build options - Window win = window; - win.set(Window::DimX, Window::Dimension(0, 1, 1)); - - const int window_step_x = size; - const auto window_start_x = static_cast<int>(window.x().start()); - const auto window_end_x = static_cast<int>(window.x().end()); - - Iterator dwc_w_in(dwc_weights, win); - Iterator dwc_w_out(run_in_place_weights ? dwc_weights : fused_weights, win); - - const auto dwc_bias_in = - (dwc_bias != nullptr ? reinterpret_cast<ScalarType *>(dwc_bias->ptr_to_element(Coordinates(0, 0))) : nullptr); - auto dwc_bias_out = - (run_in_place_bias ? dwc_bias_in - : reinterpret_cast<ScalarType *>(fused_bias->ptr_to_element(Coordinates(0, 0)))); - - const auto input_mean = reinterpret_cast<const ScalarType *>(bn_mean->ptr_to_element(Coordinates(0, 0))); - const auto input_var = reinterpret_cast<const ScalarType *>(bn_var->ptr_to_element(Coordinates(0, 0))); - const auto input_gamma = (bn_gamma != nullptr) - ? reinterpret_cast<const ScalarType *>(bn_gamma->ptr_to_element(Coordinates(0, 0))) - : nullptr; - const auto input_beta = (bn_beta != nullptr) - ? reinterpret_cast<const ScalarType *>(bn_beta->ptr_to_element(Coordinates(0, 0))) - : nullptr; - - auto mean_vec = wrapper::vdup_n(ScalarType(0), ExactTagType{}); - auto var_vec = wrapper::vdup_n(ScalarType(0), ExactTagType{}); - auto gamma_vec = wrapper::vdup_n(ScalarType(1), ExactTagType{}); - auto beta_vec = wrapper::vdup_n(ScalarType(0), ExactTagType{}); - auto rvar_vec = wrapper::vdup_n(ScalarType(0), ExactTagType{}); - const auto epsilon_vec = wrapper::vdup_n(ScalarType(epsilon), ExactTagType{}); - - auto mean = ScalarType(0.0); - auto var = ScalarType(0.0); - auto gamma = ScalarType(1.0); - auto beta = ScalarType(0.0); - auto dwc_bias_in_scalar = ScalarType(0.0); - execute_window_loop( - win, - [&](const Coordinates &id) - { - var = input_var[id[2]]; - if (input_gamma != nullptr) - { - gamma = input_gamma[id[2]]; - } - - if (id[1] == 0) - { - mean = input_mean[id[2]]; - - // Construct vectors - mean_vec = wrapper::vdup_n(mean, ExactTagType{}); - if (input_beta != nullptr) - { - beta = input_beta[id[2]]; - beta_vec = wrapper::vdup_n(beta, ExactTagType{}); - } - - if (dwc_bias_in != nullptr) - { - dwc_bias_in_scalar = dwc_bias_in[id[2]]; - } - - auto dwc_bias_tmp_scalar = (dwc_bias_in_scalar - mean) / std::sqrt(var + ScalarType(epsilon)); - dwc_bias_out[id[2]] = (dwc_bias_tmp_scalar * gamma) + beta; - } - - int x = window_start_x; - auto dwc_w_in_ptr = reinterpret_cast<const ScalarType *>(dwc_w_in.ptr()); - auto dwc_w_out_ptr = reinterpret_cast<ScalarType *>(dwc_w_out.ptr()); - var_vec = wrapper::vdup_n(var, ExactTagType{}); - gamma_vec = wrapper::vdup_n(gamma, ExactTagType{}); - rvar_vec = wrapper::vinvsqrt(wrapper::vadd(var_vec, epsilon_vec)); - - for (; x <= (window_end_x - window_step_x); x += window_step_x) - { - auto wn = wrapper::vloadq(dwc_w_in_ptr + x); - wn = wrapper::vmul(wn, rvar_vec); - wn = wrapper::vmul(wn, gamma_vec); - - // Store results - wrapper::vstore(dwc_w_out_ptr + x, wn); - } - - // Compute left-over elements - for (; x < window_end_x; ++x) - { - *(dwc_w_out_ptr + x) = *(dwc_w_in_ptr + x) / std::sqrt(var + ScalarType(epsilon)) * gamma; - } - }, - dwc_w_in, dwc_w_out); -} - void fused_batch_normalization_dwc_nchw_f32(const ITensor *dwc_weights, const ITensor *dwc_bias, ITensor *fused_weights, @@ -157,22 +43,5 @@ void fused_batch_normalization_dwc_nchw_f32(const ITensor *dwc_weights, bn_var, bn_beta, bn_gamma, epsilon, window); } -#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) -void fused_batch_normalization_dwc_nchw_f16(const ITensor *dwc_weights, - const ITensor *dwc_bias, - ITensor *fused_weights, - ITensor *fused_bias, - const ITensor *bn_mean, - const ITensor *bn_var, - const ITensor *bn_beta, - const ITensor *bn_gamma, - float epsilon, - const Window &window) -{ - return fused_batch_normalization_dwc_nchw<float16_t>(dwc_weights, dwc_bias, fused_weights, fused_bias, bn_mean, - bn_var, bn_beta, bn_gamma, epsilon, window); -} -#endif /* defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */ - } // namespace cpu } // namespace arm_compute |