mirror of
https://github.com/ROCm/jax.git
synced 2025-04-16 20:06:05 +00:00
71 lines
2.6 KiB
Python
71 lines
2.6 KiB
Python
# Copyright 2020 Google LLC
|
|
#
|
|
# 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
|
|
#
|
|
# https://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.
|
|
|
|
from jax import core
|
|
from jax import numpy as jnp
|
|
from jax._src import device_array
|
|
from jax._src.lib import xla_client
|
|
from jax._src.lib import xla_extension_version
|
|
from jax._src.lib import xla_bridge
|
|
|
|
SUPPORTED_DTYPES = frozenset({
|
|
jnp.int8, jnp.int16, jnp.int32, jnp.int64, jnp.uint8, jnp.uint16,
|
|
jnp.uint32, jnp.uint64, jnp.float16, jnp.bfloat16, jnp.float32,
|
|
jnp.float64})
|
|
|
|
if xla_extension_version >= 58:
|
|
SUPPORTED_DTYPES = SUPPORTED_DTYPES | {jnp.complex64, jnp.complex128}
|
|
|
|
|
|
def to_dlpack(x: device_array.DeviceArrayProtocol, take_ownership: bool = False):
|
|
"""Returns a DLPack tensor that encapsulates a DeviceArray `x`.
|
|
|
|
Takes ownership of the contents of `x`; leaves `x` in an invalid/deleted
|
|
state.
|
|
|
|
Args:
|
|
x: a `DeviceArray`, on either CPU or GPU.
|
|
take_ownership: If ``True``, JAX hands ownership of the buffer to DLPack,
|
|
and the consumer is free to mutate the buffer; the JAX buffer acts as if
|
|
it were deleted. If ``False``, JAX retains ownership of the buffer; it is
|
|
undefined behavior if the DLPack consumer writes to a buffer that JAX
|
|
owns.
|
|
"""
|
|
if not isinstance(x, device_array.DeviceArray):
|
|
raise TypeError("Argument to to_dlpack must be a DeviceArray, got {}"
|
|
.format(type(x)))
|
|
return xla_client._xla.buffer_to_dlpack_managed_tensor(
|
|
x.device_buffer, take_ownership=take_ownership)
|
|
|
|
def from_dlpack(dlpack):
|
|
"""Returns a `DeviceArray` representation of a DLPack tensor `dlpack`.
|
|
|
|
The returned `DeviceArray` shares memory with `dlpack`.
|
|
|
|
Args:
|
|
dlpack: a DLPack tensor, on either CPU or GPU.
|
|
"""
|
|
cpu_backend = xla_bridge.get_backend("cpu")
|
|
try:
|
|
gpu_backend = xla_bridge.get_backend("gpu")
|
|
except RuntimeError:
|
|
gpu_backend = None
|
|
buf = xla_client._xla.dlpack_managed_tensor_to_buffer(
|
|
dlpack, cpu_backend, gpu_backend)
|
|
|
|
xla_shape = buf.xla_shape()
|
|
assert not xla_shape.is_tuple()
|
|
aval = core.ShapedArray(xla_shape.dimensions(), xla_shape.numpy_dtype())
|
|
return device_array.make_device_array(aval, buf.device(), buf) # pytype: disable=attribute-error
|