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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,154 @@ | ||
| //===-- ------------ Implementation of _tensor_impl module ----*-C++-*-/===// | ||
| // | ||
| // Data Parallel Control (dpctl) | ||
| // | ||
| // Copyright 2020-2024 Intel Corporation | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
| // | ||
| //===--------------------------------------------------------------------===// | ||
| /// | ||
| /// \file | ||
| /// This file defines functions of dpctl.tensor._tensor_impl extensions | ||
| //===--------------------------------------------------------------------===// | ||
|
|
||
| #include "dpctl4pybind11.hpp" | ||
| #include <complex> | ||
| #include <pybind11/complex.h> | ||
| #include <pybind11/pybind11.h> | ||
| #include <sycl/sycl.hpp> | ||
| #include <utility> | ||
| #include <vector> | ||
|
|
||
| #include "kernels/constructors.hpp" | ||
| #include "utils/output_validation.hpp" | ||
| #include "utils/type_dispatch.hpp" | ||
| #include "utils/type_utils.hpp" | ||
|
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| #include "zeros_ctor.hpp" | ||
|
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| namespace py = pybind11; | ||
| namespace td_ns = dpctl::tensor::type_dispatch; | ||
|
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||
| namespace dpctl | ||
| { | ||
| namespace tensor | ||
| { | ||
| namespace py_internal | ||
| { | ||
|
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| using dpctl::utils::keep_args_alive; | ||
|
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| typedef sycl::event (*zeros_contig_fn_ptr_t)(sycl::queue &, | ||
| size_t, | ||
| char *, | ||
| const std::vector<sycl::event> &); | ||
|
|
||
| /*! | ||
| * @brief Function to submit kernel to fill given contiguous memory allocation | ||
| * with zeros. | ||
| * | ||
| * @param exec_q Sycl queue to which kernel is submitted for execution. | ||
| * @param nelems Length of the sequence | ||
| * @param dst_p Kernel accessible USM pointer to the start of array to be | ||
| * populated. | ||
| * @param depends List of events to wait for before starting computations, if | ||
| * any. | ||
| * | ||
| * @return Event to wait on to ensure that computation completes. | ||
| * @defgroup CtorKernels | ||
| */ | ||
| template <typename dstTy> | ||
| sycl::event zeros_contig_impl(sycl::queue &exec_q, | ||
| size_t nelems, | ||
| char *dst_p, | ||
| const std::vector<sycl::event> &depends) | ||
| { | ||
|
|
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| constexpr int memset_val(0); | ||
| sycl::event fill_ev = exec_q.submit([&](sycl::handler &cgh) { | ||
| cgh.depends_on(depends); | ||
|
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| cgh.memset(reinterpret_cast<void *>(dst_p), memset_val, | ||
| nelems * sizeof(dstTy)); | ||
| }); | ||
|
|
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| return fill_ev; | ||
| } | ||
|
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| template <typename fnT, typename Ty> struct ZerosContigFactory | ||
| { | ||
| fnT get() | ||
| { | ||
| fnT f = zeros_contig_impl<Ty>; | ||
| return f; | ||
| } | ||
| }; | ||
|
|
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| static zeros_contig_fn_ptr_t zeros_contig_dispatch_vector[td_ns::num_types]; | ||
|
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| std::pair<sycl::event, sycl::event> | ||
| usm_ndarray_zeros(const dpctl::tensor::usm_ndarray &dst, | ||
| sycl::queue &exec_q, | ||
| const std::vector<sycl::event> &depends) | ||
| { | ||
| py::ssize_t dst_nelems = dst.get_size(); | ||
|
|
||
| if (dst_nelems == 0) { | ||
| // nothing to do | ||
| return std::make_pair(sycl::event(), sycl::event()); | ||
| } | ||
|
|
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| if (!dpctl::utils::queues_are_compatible(exec_q, {dst})) { | ||
| throw py::value_error( | ||
| "Execution queue is not compatible with the allocation queue"); | ||
| } | ||
|
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| dpctl::tensor::validation::CheckWritable::throw_if_not_writable(dst); | ||
|
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| auto array_types = td_ns::usm_ndarray_types(); | ||
| int dst_typenum = dst.get_typenum(); | ||
| int dst_typeid = array_types.typenum_to_lookup_id(dst_typenum); | ||
|
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| char *dst_data = dst.get_data(); | ||
|
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| if (dst_nelems == 1 || dst.is_c_contiguous() || dst.is_f_contiguous()) { | ||
| auto fn = zeros_contig_dispatch_vector[dst_typeid]; | ||
|
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| sycl::event zeros_contig_event = | ||
| fn(exec_q, static_cast<size_t>(dst_nelems), dst_data, depends); | ||
|
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| return std::make_pair( | ||
| keep_args_alive(exec_q, {dst}, {zeros_contig_event}), | ||
| zeros_contig_event); | ||
| } | ||
| else { | ||
| throw std::runtime_error( | ||
| "Only population of contiguous usm_ndarray objects is supported."); | ||
| } | ||
| } | ||
|
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| void init_zeros_ctor_dispatch_vectors(void) | ||
| { | ||
| using namespace td_ns; | ||
|
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| DispatchVectorBuilder<zeros_contig_fn_ptr_t, ZerosContigFactory, num_types> | ||
| dvb; | ||
| dvb.populate_dispatch_vector(zeros_contig_dispatch_vector); | ||
|
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| return; | ||
| } | ||
|
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| } // namespace py_internal | ||
| } // namespace tensor | ||
| } // namespace dpctl |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,49 @@ | ||
| //===-- ------------ Implementation of _tensor_impl module ----*-C++-*-/===// | ||
| // | ||
| // Data Parallel Control (dpctl) | ||
| // | ||
| // Copyright 2020-2024 Intel Corporation | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
| // | ||
| //===--------------------------------------------------------------------===// | ||
| /// | ||
| /// \file | ||
| /// This file defines functions of dpctl.tensor._tensor_impl extensions | ||
| //===--------------------------------------------------------------------===// | ||
|
|
||
| #pragma once | ||
| #include <sycl/sycl.hpp> | ||
| #include <utility> | ||
| #include <vector> | ||
|
|
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| #include "dpctl4pybind11.hpp" | ||
| #include <pybind11/pybind11.h> | ||
|
|
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| namespace dpctl | ||
| { | ||
| namespace tensor | ||
| { | ||
| namespace py_internal | ||
| { | ||
|
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| extern std::pair<sycl::event, sycl::event> | ||
| usm_ndarray_zeros(const dpctl::tensor::usm_ndarray &dst, | ||
| sycl::queue &exec_q, | ||
| const std::vector<sycl::event> &depends = {}); | ||
|
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| extern void init_zeros_ctor_dispatch_vectors(void); | ||
|
|
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| } // namespace py_internal | ||
| } // namespace tensor | ||
| } // namespace dpctl |
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