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[refactor] Generalization of dual_gemm_silu_identity_mul to calculate…
… any activation function. (#1141) renamed dual_gemm_silu_identity_mul* to dual_gemm_lhs_activation_and_mul*, added a template parameter for the activation function to it. added customizable epilogue class (EpilogueLHSActivationAndMul) with the same template parameter.
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xformers/csrc/swiglu/cuda/epilogue_lhs_activation_and_mul.h
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| /* | ||
| * Copyright (c) Meta Platforms, Inc. and affiliates. | ||
| * All rights reserved. | ||
| * | ||
| * This source code is licensed under the BSD-style license found in the | ||
| * LICENSE file in the root directory of this source tree. | ||
| */ | ||
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| /* | ||
| Implementation of the element_wise epilogue of the DualGemm kernel | ||
| with a custom activation function passed as a template parameter. | ||
| (third_party/cutlass/examples/45_dual_gemm/dual_gemm.cu) | ||
| DualGemm defined as: | ||
| D0 = epilogue0(X @ B0, C0) | ||
| D1 = epilogue1(X @ B1, C1) | ||
| D2 = element_wise(D0, D1) | ||
| where element_wise(D0, D1) = eltwise_mul(activation_func(D0), D1) | ||
| Code from CUTLASS examples used as reference: | ||
| third_party/cutlass/examples/45_dual_gemm/thread/left_silu_and_mul.h | ||
| */ | ||
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| #pragma once | ||
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| #include "cutlass/array.h" | ||
| #include "cutlass/cutlass.h" | ||
| #include "cutlass/functional.h" | ||
| #include "cutlass/numeric_conversion.h" | ||
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| template < | ||
| typename ElementOutput_, // Type used for load and store | ||
| int Count, // Number of elements computed per operation | ||
| template <typename> typename ActivationFn_, // Activation functor | ||
| typename ElementAccumulator_ = ElementOutput_, // Accumulator type | ||
| typename ElementCompute_ = ElementOutput_, // Type used for internal compute | ||
| cutlass::FloatRoundStyle Round = cutlass::FloatRoundStyle::round_to_nearest> | ||
| class EpilogueLHSActivationAndMul { | ||
| public: | ||
| static int const kCount = Count; | ||
| static cutlass::FloatRoundStyle const kRound = Round; | ||
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| using ElementOutput = ElementOutput_; | ||
| using ElementAccumulator = ElementAccumulator_; | ||
| using ElementCompute = ElementCompute_; | ||
| using ActivationFnElementCompute = ActivationFn_<ElementCompute>; | ||
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| using FragmentOutput = cutlass::Array<ElementOutput, kCount>; | ||
| using FragmentAccumulator = cutlass::Array<ElementAccumulator, kCount>; | ||
| using FragmentCompute = cutlass::Array<ElementCompute, kCount>; | ||
| using ActivationFnFragmentCompute = ActivationFn_<FragmentCompute>; | ||
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| struct Params {}; | ||
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| public: | ||
| CUTLASS_HOST_DEVICE | ||
| EpilogueLHSActivationAndMul(Params const& /*params*/) {} | ||
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| CUTLASS_HOST_DEVICE | ||
| bool is_source_needed() const { | ||
| return true; | ||
| } | ||
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| CUTLASS_HOST_DEVICE | ||
| void set_k_partition(int k_partition, int k_partition_count) { | ||
| assert(false); | ||
| } | ||
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| CUTLASS_HOST_DEVICE | ||
| FragmentOutput operator()( | ||
| FragmentAccumulator const& input_lhs, | ||
| FragmentAccumulator const& input_rhs) const { | ||
| cutlass::NumericArrayConverter< | ||
| ElementCompute, | ||
| ElementAccumulator, | ||
| kCount, | ||
| kRound> | ||
| acc_to_compute; | ||
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| cutlass:: | ||
| NumericArrayConverter<ElementOutput, ElementCompute, kCount, kRound> | ||
| compute_to_out; | ||
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| FragmentCompute casted_lhs = acc_to_compute(input_lhs); | ||
| FragmentCompute casted_rhs = acc_to_compute(input_rhs); | ||
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| ActivationFnFragmentCompute activation_func; | ||
| cutlass::multiplies<FragmentCompute> mul_func; | ||
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| auto activation_lhs_out = activation_func(casted_lhs); | ||
| return compute_to_out(mul_func(activation_lhs_out, casted_rhs)); | ||
| } | ||
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| CUTLASS_HOST_DEVICE | ||
| ElementOutput operator()( | ||
| ElementAccumulator const& input_lhs, | ||
| ElementAccumulator const& input_rhs) const { | ||
| ElementCompute casted_lhs(input_lhs); | ||
| ElementCompute casted_rhs(input_rhs); | ||
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| ActivationFnElementCompute activation_func; | ||
| cutlass::multiplies<ElementCompute> mul_func; | ||
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| auto activation_lhs_out = activation_func(casted_lhs); | ||
| return ElementOutput(mul_func(activation_lhs_out, casted_rhs)); | ||
| } | ||
| }; |