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Merge pull request #2 from dijopaul/dijopaul_add-nnlib2
Adding nnlib integration
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| # Copyright (c) Meta Platforms, Inc. and affiliates. | ||
| # | ||
| # This yaml file contains operators that are also defined by the ATen library. | ||
| # For lean mode: | ||
| # - Codegen'd target `executorch_generated_lib` will be reading all the information | ||
| # from this file, including operator schema and kernel metadata. | ||
| # - Selective build target `codegen:executorch_defined_ops` now is selecting all the | ||
| # operators in this file, by dumping all the op names into `selected_operators.yaml`. | ||
| # | ||
| # See the README.md file in executorch/kernels/portable for a description of the syntax used | ||
| # by this file. | ||
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| # aten ops | ||
| - op: _to_copy.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::to_copy_out | ||
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| - op: _softmax.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::softmax_out | ||
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| - op: add.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::add_out | ||
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| - op: bmm.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::bmm_out | ||
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| - op: cat.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::cat_out | ||
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| - op: clone.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::clone_out | ||
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| - op: div.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::div_out | ||
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| - op: div.out_mode | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::div_out_mode | ||
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| - op: embedding.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::embedding_out | ||
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| - op: full.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::full_out | ||
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| - op: mul.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::mul_out | ||
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| - op: permute_copy.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::permute_copy_out | ||
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| - op: sigmoid.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::sigmoid_out | ||
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| - op: slice_copy.Tensor_out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::slice_copy_Tensor_out | ||
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| - op: split_with_sizes_copy.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::split_with_sizes_copy_out | ||
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| - op: sub.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::sub_out | ||
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| - op: view_copy.out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::view_copy_out | ||
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| - op: where.self_out | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: torch::executor::where_out | ||
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| # custom ops | ||
| - func: cadence::quantize_per_tensor.out(Tensor input, float scale, int zero_point, int quant_min, int quant_max, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!) | ||
| variants: function | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: impl::HiFi::quantize_per_tensor_out | ||
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| - func: cadence::dequantize_per_tensor.out(Tensor input, float scale, int zero_point, int quant_min, int quant_max, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!) | ||
| variants: function | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: impl::HiFi::dequantize_per_tensor_out | ||
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| - func: cadence::quantized_layer_norm.out(Tensor input, Tensor in_scale, Tensor in_zero_point, int[] normalized_shape, Tensor weight, Tensor bias, float eps, float output_scale, int output_zero_point, *, Tensor(a!) out) -> Tensor(a!) | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: impl::HiFi::quantized_layer_norm_out | ||
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| - func: cadence::quantized_linear.out(Tensor src, Tensor weight, Tensor bias, int src_zero_point, Tensor weight_zero_point, Tensor out_multiplier, Tensor out_shift, int out_zero_point, Tensor? offset, *, Tensor(a!) out) -> Tensor(a!) | ||
| kernels: | ||
| - arg_meta: null | ||
| kernel_name: impl::HiFi::quantized_linear_out | ||
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| cmake_minimum_required(VERSION 3.10.0) | ||
| project(cadence_nnlib) | ||
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| add_custom_target( nnlib_target ALL COMMAND | ||
| make install_nnlib -f makefile -C ${EXECUTORCH_ROOT}/backends/cadence/hifi/third-party/nnlib/nnlib-hifi4/xa_nnlib/build | ||
| OBJDIR=${CMAKE_CURRENT_BINARY_DIR}/obj | ||
| LIBDIR=${CMAKE_CURRENT_BINARY_DIR}/lib | ||
| -j8 ) | ||
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| add_library(xa_nnlib STATIC IMPORTED GLOBAL) | ||
| add_dependencies(xa_nnlib nnlib_target) | ||
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| set_property( | ||
| TARGET xa_nnlib | ||
| PROPERTY | ||
| IMPORTED_LOCATION "${CMAKE_CURRENT_BINARY_DIR}/lib/xa_nnlib.a" | ||
| ) | ||
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Submodule nnlib-hifi4
added at
6a9ea4