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impl->set_storage_offset(new_storage_offset);
impl->set_sizes_and_strides(new_sizes, new_strides);
} else {
// Upsizing element size
int64_t size_ratio = new_element_size / self_element_size;
TORCH_CHECK(
(self.size(-1) % size_ratio) == 0,
"self.size(-1) must be divisible by ", size_ratio, " to view ",
self.scalar_type(), " as ", dtype, " (different element sizes), ",
"but got ", self.size(-1));
TORCH_CHECK(
(self.storage_offset() % size_ratio) == 0,
"self.storage_offset() must be divisible by ", size_ratio, " to view ",
self.scalar_type(), " as ", dtype, " (different element sizes), but got ",
self.storage_offset());
auto new_strides = compute_strides_for_view_dtype_upsize(
self.strides(), size_ratio, self.scalar_type(), dtype);
auto old_sizes = self.sizes();
DimVector new_sizes(self.dim());
std::copy(old_sizes.begin(), old_sizes.end(), new_sizes.begin());
new_sizes[self.dim() - 1] /= size_ratio;
auto new_storage_offset = self.storage_offset() / size_ratio;
impl->set_storage_offset(new_storage_offset);
impl->set_sizes_and_strides(new_sizes, new_strides);
}
return new_tensor;
}
}} // namespace at::native
/*******************************************************************************
* Copyright 2016-2021 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.
*******************************************************************************/
#include <memory>
#include "oneapi/dnnl/dnnl.h"
#include "c_types_map.hpp"
#include "engine.hpp"
#include "memory.hpp"
#include "nstl.hpp"
#include "primitive.hpp"
#include "utils.hpp"
#if DNNL_CPU_RUNTIME != DNNL_RUNTIME_NONE
#include "cpu/cpu_engine.hpp"
#endif
#if DNNL_GPU_RUNTIME == DNNL_RUNTIME_OCL
#include "gpu/ocl/ocl_engine.hpp"
#endif
#ifdef DNNL_WITH_SYCL
#include "sycl/sycl_engine.hpp"
#endif
namespace dnnl {
namespace impl {
static inline std::unique_ptr<engine_factory_t> get_engine_factory(
engine_kind_t kind, runtime_kind_t runtime_kind) {
#if DNNL_CPU_RUNTIME != DNNL_RUNTIME_NONE
if (kind == engine_kind::cpu && is_native_runtime(runtime_kind)) {
return std::unique_ptr<engine_factory_t>(
new cpu::cpu_engine_factory_t());
}
#endif
#if DNNL_GPU_RUNTIME == DNNL_RUNTIME_OCL
if (kind == engine_kind::gpu && runtime_kind == runtime_kind::ocl) {
return std::unique_ptr<engine_factory_t>(
new gpu::ocl::ocl_engine_factory_t(kind));
}
#endif
#ifdef DNNL_WITH_SYCL