Sang-Hoon Park | 201e0fe | 2021-01-27 13:14:56 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2021 Arm Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
Georgios Pinitas | 7891a73 | 2021-08-20 21:39:25 +0100 | [diff] [blame] | 24 | #include "src/gpu/cl/operators/ClSoftmax.h" |
Sang-Hoon Park | 201e0fe | 2021-01-27 13:14:56 +0000 | [diff] [blame] | 25 | #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
Manuel Bottini | 94f799e | 2021-06-09 16:37:32 +0100 | [diff] [blame] | 26 | #include "src/core/helpers/MemoryHelpers.h" |
Sang-Hoon Park | 201e0fe | 2021-01-27 13:14:56 +0000 | [diff] [blame] | 27 | #include "src/core/helpers/SoftmaxHelpers.h" |
Georgios Pinitas | 7891a73 | 2021-08-20 21:39:25 +0100 | [diff] [blame] | 28 | #include "src/gpu/cl/kernels/ClSoftmaxKernel.h" |
| 29 | #include "src/gpu/cl/operators/ClPermute.h" |
| 30 | #include "src/gpu/cl/utils/ClAuxTensorHandler.h" |
Sang-Hoon Park | 201e0fe | 2021-01-27 13:14:56 +0000 | [diff] [blame] | 31 | #include "support/Cast.h" |
| 32 | |
ramelg01 | 2e53f17 | 2021-09-22 10:48:25 +0100 | [diff] [blame] | 33 | #include "src/common/utils/Log.h" |
| 34 | |
Manuel Bottini | 94f799e | 2021-06-09 16:37:32 +0100 | [diff] [blame] | 35 | using namespace arm_compute::experimental; |
| 36 | |
Sang-Hoon Park | 201e0fe | 2021-01-27 13:14:56 +0000 | [diff] [blame] | 37 | namespace arm_compute |
| 38 | { |
| 39 | namespace opencl |
| 40 | { |
Sang-Hoon Park | 201e0fe | 2021-01-27 13:14:56 +0000 | [diff] [blame] | 41 | ClSoftmax::ClSoftmax() |
| 42 | : _permute_input(std::make_unique<ClPermute>()), |
| 43 | _permute_output(std::make_unique<ClPermute>()), |
| 44 | _max_shift_exp_sum_kernel(std::make_unique<kernels::ClLogits1DMaxShiftExpSumKernel>()), |
| 45 | _norm_kernel(std::make_unique<kernels::ClLogits1DNormKernel>()), |
Manuel Bottini | 94f799e | 2021-06-09 16:37:32 +0100 | [diff] [blame] | 46 | _max_info(), |
| 47 | _sum_info(), |
| 48 | _tmp_info(), |
| 49 | _permuted_src_info(), |
| 50 | _permuted_dst_info(), |
| 51 | _aux_mem(InternalTensorIdx::COUNT) |
Sang-Hoon Park | 201e0fe | 2021-01-27 13:14:56 +0000 | [diff] [blame] | 52 | { |
| 53 | } |
| 54 | |
Sang-Hoon Park | 201e0fe | 2021-01-27 13:14:56 +0000 | [diff] [blame] | 55 | void ClSoftmax::configure(const CLCompileContext &compile_context, const ITensorInfo &src, ITensorInfo &dst, const SoftmaxKernelInfo &info) |
| 56 | { |
| 57 | ARM_COMPUTE_ERROR_THROW_ON(validate(src, dst, info)); |
ramelg01 | 2e53f17 | 2021-09-22 10:48:25 +0100 | [diff] [blame] | 58 | ARM_COMPUTE_LOG_PARAMS(src, dst, info); |
Sang-Hoon Park | 201e0fe | 2021-01-27 13:14:56 +0000 | [diff] [blame] | 59 | |
| 60 | const size_t actual_axis = static_cast<size_t>(wrap_around(info.axis, static_cast<int32_t>(src.num_dimensions()))); |
| 61 | |
| 62 | _needs_permute = actual_axis != 0; |
| 63 | |
| 64 | const ITensorInfo &tmp_input_info = _needs_permute ? _permuted_src_info : src; |
| 65 | ITensorInfo &tmp_output_info = _needs_permute ? _permuted_dst_info : dst; |
| 66 | |
| 67 | if(_needs_permute) |
| 68 | { |
| 69 | const auto perm_info = softmax_helpers::get_permutation_vector_from_softmax_axis(actual_axis); |
| 70 | _permute_input->configure(compile_context, &src, &_permuted_src_info, perm_info); |
| 71 | } |
| 72 | |
| 73 | DataType tmp_data_type = is_data_type_quantized_asymmetric(tmp_input_info.data_type()) ? DataType::S32 : tmp_input_info.data_type(); |
| 74 | _tmp_info = tmp_input_info.clone()->set_data_type(tmp_data_type); |
| 75 | |
| 76 | TensorShape max_sum_shape = tmp_input_info.tensor_shape(); |
| 77 | _max_info = tmp_input_info.clone()->set_tensor_shape(max_sum_shape); |
| 78 | _sum_info = tmp_input_info.clone()->set_tensor_shape(max_sum_shape).set_data_type(tmp_data_type); |
| 79 | |
| 80 | // Set GPU target to kernels |
| 81 | _max_shift_exp_sum_kernel->set_target(CLScheduler::get().target()); |
| 82 | |
| 83 | _max_shift_exp_sum_kernel->configure(compile_context, tmp_input_info, _max_info, _tmp_info, _sum_info, info); |
| 84 | _norm_kernel->configure(compile_context, _tmp_info, _sum_info, tmp_output_info, info); |
| 85 | |
| 86 | if(_needs_permute) |
| 87 | { |
| 88 | const auto perm_info = softmax_helpers::get_permutation_vector_from_softmax_axis(actual_axis); |
| 89 | _permute_output->configure(compile_context, &_permuted_dst_info, &dst, perm_info); |
| 90 | } |
Manuel Bottini | 94f799e | 2021-06-09 16:37:32 +0100 | [diff] [blame] | 91 | |
| 92 | _aux_mem[InternalTensorIdx::SUM] = MemoryInfo(offset_int_vec(InternalTensorIdx::SUM), MemoryLifetime::Temporary, _sum_info.total_size()); |
| 93 | _aux_mem[InternalTensorIdx::TMP] = MemoryInfo(offset_int_vec(InternalTensorIdx::TMP), MemoryLifetime::Temporary, _tmp_info.total_size()); |
| 94 | _aux_mem[InternalTensorIdx::MAX] = MemoryInfo(offset_int_vec(InternalTensorIdx::MAX), MemoryLifetime::Temporary, _max_info.total_size()); |
| 95 | |
| 96 | _aux_mem[InternalTensorIdx::PERMUTED_SRC] = MemoryInfo(offset_int_vec(InternalTensorIdx::PERMUTED_SRC), MemoryLifetime::Temporary, _permuted_src_info.total_size()); |
| 97 | _aux_mem[InternalTensorIdx::PERMUTED_DST] = MemoryInfo(offset_int_vec(InternalTensorIdx::PERMUTED_DST), MemoryLifetime::Temporary, _permuted_dst_info.total_size()); |
Sang-Hoon Park | 201e0fe | 2021-01-27 13:14:56 +0000 | [diff] [blame] | 98 | } |
| 99 | |
| 100 | Status ClSoftmax::validate(const ITensorInfo &src, const ITensorInfo &dst, const SoftmaxKernelInfo &info) |
| 101 | { |
| 102 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(src.num_dimensions() > 4, "Only up to 4 dimensions are supported"); |
| 103 | ARM_COMPUTE_UNUSED(info.beta); |
| 104 | ARM_COMPUTE_RETURN_ERROR_ON(info.axis < static_cast<int32_t>(-src.num_dimensions()) || static_cast<int32_t>(src.num_dimensions()) <= info.axis); |
| 105 | |
| 106 | const size_t actual_axis = static_cast<size_t>(wrap_around(info.axis, static_cast<int32_t>(src.num_dimensions()))); |
| 107 | const bool needs_permute = actual_axis != 0; |
| 108 | if(needs_permute) |
| 109 | { |
| 110 | const PermutationVector permutation_vector = softmax_helpers::get_permutation_vector_from_softmax_axis(actual_axis); |
| 111 | const TensorShape permuted_shape = misc::shape_calculator::compute_permutation_output_shape(src, permutation_vector); |
| 112 | TensorInfo input_permuted(src.clone()->set_tensor_shape(permuted_shape)); |
| 113 | ARM_COMPUTE_RETURN_ON_ERROR(ClPermute::validate(&src, &input_permuted, permutation_vector)); |
| 114 | TensorInfo output_permuted(dst.clone()->set_tensor_shape(permuted_shape)); |
| 115 | ARM_COMPUTE_RETURN_ON_ERROR(ClPermute::validate(&output_permuted, &dst, permutation_vector)); |
| 116 | } |
| 117 | |
| 118 | // Create intermediate tensor info |
| 119 | DataType tmp_data_type = is_data_type_quantized_asymmetric(src.data_type()) ? DataType::S32 : src.data_type(); |
| 120 | TensorInfo tensor_info_tmp(src.clone()->set_data_type(tmp_data_type).set_is_resizable(true)); |
| 121 | |
| 122 | TensorShape max_sum_shape = src.tensor_shape(); |
| 123 | max_sum_shape.set(0, 1); |
| 124 | TensorInfo tensor_info_max(src.clone()->set_tensor_shape(max_sum_shape).set_is_resizable(true)); |
| 125 | TensorInfo tensor_info_sum(src.clone()->set_tensor_shape(max_sum_shape).set_data_type(tmp_data_type).set_quantization_info(QuantizationInfo()).set_is_resizable(true)); |
| 126 | |
| 127 | ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClLogits1DMaxShiftExpSumKernel::validate(src, tensor_info_max, tensor_info_tmp, tensor_info_sum)); |
| 128 | ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClLogits1DNormKernel::validate(tensor_info_tmp, tensor_info_sum, dst, info)); |
| 129 | |
| 130 | return Status{}; |
| 131 | } |
| 132 | |
Sang-Hoon Park | 201e0fe | 2021-01-27 13:14:56 +0000 | [diff] [blame] | 133 | void ClSoftmax::run(ITensorPack &tensors) |
| 134 | { |
Sang-Hoon Park | 201e0fe | 2021-01-27 13:14:56 +0000 | [diff] [blame] | 135 | auto src = tensors.get_const_tensor(TensorType::ACL_SRC); |
| 136 | auto dst = tensors.get_tensor(TensorType::ACL_DST); |
| 137 | |
Manuel Bottini | 94f799e | 2021-06-09 16:37:32 +0100 | [diff] [blame] | 138 | CLAuxTensorHandler sum(offset_int_vec(InternalTensorIdx::SUM), _sum_info, tensors, false); |
| 139 | CLAuxTensorHandler tmp(offset_int_vec(InternalTensorIdx::TMP), _tmp_info, tensors, false); |
| 140 | CLAuxTensorHandler max(offset_int_vec(InternalTensorIdx::MAX), _max_info, tensors, false); |
| 141 | |
| 142 | CLAuxTensorHandler permuted_src(offset_int_vec(InternalTensorIdx::PERMUTED_SRC), _permuted_src_info, tensors, false); |
| 143 | CLAuxTensorHandler permuted_dst(offset_int_vec(InternalTensorIdx::PERMUTED_DST), _permuted_dst_info, tensors, false); |
| 144 | |
| 145 | if(_needs_permute) |
| 146 | { |
| 147 | ITensorPack pack; |
| 148 | pack.add_const_tensor(TensorType::ACL_SRC, src); |
| 149 | pack.add_tensor(TensorType::ACL_DST, permuted_src.get()); |
| 150 | _permute_input.get()->run(pack); |
| 151 | } |
| 152 | |
| 153 | ITensorPack sum_pack; |
| 154 | ITensorPack norm_pack; |
| 155 | if(_needs_permute) |
| 156 | { |
| 157 | sum_pack.add_const_tensor(TensorType::ACL_SRC, permuted_src.get()); |
| 158 | norm_pack.add_tensor(TensorType::ACL_DST, permuted_dst.get()); |
| 159 | } |
| 160 | else |
| 161 | { |
| 162 | sum_pack.add_const_tensor(TensorType::ACL_SRC, src); |
| 163 | norm_pack.add_tensor(TensorType::ACL_DST, dst); |
| 164 | } |
| 165 | sum_pack.add_tensor(TensorType::ACL_DST, tmp.get()); |
| 166 | sum_pack.add_tensor(TensorType::ACL_INT_0, max.get()); |
| 167 | sum_pack.add_tensor(TensorType::ACL_INT_1, sum.get()); |
| 168 | |
| 169 | norm_pack.add_const_tensor(TensorType::ACL_SRC, tmp.get()); |
| 170 | norm_pack.add_tensor(TensorType::ACL_INT_0, sum.get()); |
| 171 | |
| 172 | CLScheduler::get().enqueue_op(*_max_shift_exp_sum_kernel.get(), sum_pack, false); |
| 173 | CLScheduler::get().enqueue_op(*_norm_kernel.get(), norm_pack, false); |
| 174 | |
| 175 | if(_needs_permute) |
| 176 | { |
| 177 | ITensorPack pack; |
| 178 | pack.add_const_tensor(TensorType::ACL_SRC, permuted_dst.get()); |
| 179 | pack.add_tensor(TensorType::ACL_DST, dst); |
| 180 | _permute_output.get()->run(pack); |
| 181 | } |
Sang-Hoon Park | 201e0fe | 2021-01-27 13:14:56 +0000 | [diff] [blame] | 182 | } |
| 183 | |
| 184 | experimental::MemoryRequirements ClSoftmax::workspace() const |
| 185 | { |
Manuel Bottini | 94f799e | 2021-06-09 16:37:32 +0100 | [diff] [blame] | 186 | return _aux_mem; |
Sang-Hoon Park | 201e0fe | 2021-01-27 13:14:56 +0000 | [diff] [blame] | 187 | } |
| 188 | } // namespace opencl |
| 189 | } // namespace arm_compute |