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# This file keeps a list of PyTorch source files that are used for templated selective build.
# NB: as this is PyTorch Edge selective build, we assume only CPU targets are
# being built
load("@bazel_skylib//lib:paths.bzl", "paths")
load("//tools/build_defs:fbsource_utils.bzl", "is_arvr_mode")
load(":build_variables.bzl", "aten_native_source_list")
load(
":ufunc_defs.bzl",
"aten_ufunc_generated_cpu_kernel_sources",
"aten_ufunc_generated_cpu_sources",
)
# Files in this list are supposed to be built separately for each app,
# for different operator allow lists.
TEMPLATE_SOURCE_LIST = [
"torch/csrc/jit/runtime/register_prim_ops.cpp",
"torch/csrc/jit/runtime/register_special_ops.cpp",
] + aten_native_source_list
# For selective build, we can lump the CPU and CPU kernel sources altogether
# because there is only ever one vectorization variant that is compiled
def aten_ufunc_generated_all_cpu_sources(gencode_pattern = "{}"):
return (
aten_ufunc_generated_cpu_sources(gencode_pattern) +
aten_ufunc_generated_cpu_kernel_sources(gencode_pattern)
)
TEMPLATE_MASKRCNN_SOURCE_LIST = [
"register_maskrcnn_ops.cpp",
]
TEMPLATE_BATCH_BOX_COX_SOURCE_LIST = [
"register_batch_box_cox_ops.cpp",
]
METAL_SOURCE_LIST = [
"aten/src/ATen/native/metal/MetalAten.mm",
"aten/src/ATen/native/metal/MetalGuardImpl.cpp",
"aten/src/ATen/native/metal/MetalPrepackOpRegister.cpp",
"aten/src/ATen/native/metal/MetalCommandBuffer.mm",
"aten/src/ATen/native/metal/MetalContext.mm",
"aten/src/ATen/native/metal/MetalConvParams.mm",
"aten/src/ATen/native/metal/MetalTensorImplStorage.mm",
"aten/src/ATen/native/metal/MetalTensorUtils.mm",
"aten/src/ATen/native/metal/mpscnn/MPSCNNClampOp.mm",
"aten/src/ATen/native/metal/mpscnn/MPSCNNConvOp.mm",
"aten/src/ATen/native/metal/mpscnn/MPSCNNFullyConnectedOp.mm",
"aten/src/ATen/native/metal/mpscnn/MPSCNNNeuronOp.mm",
"aten/src/ATen/native/metal/mpscnn/MPSCNNUtils.mm",
"aten/src/ATen/native/metal/mpscnn/MPSImage+Tensor.mm",
"aten/src/ATen/native/metal/mpscnn/MPSImageUtils.mm",
"aten/src/ATen/native/metal/mpscnn/MPSImageWrapper.mm",
"aten/src/ATen/native/metal/ops/MetalAddmm.mm",
"aten/src/ATen/native/metal/ops/MetalBinaryElementwise.mm",
"aten/src/ATen/native/metal/ops/MetalChunk.mm",
"aten/src/ATen/native/metal/ops/MetalClamp.mm",
"aten/src/ATen/native/metal/ops/MetalConcat.mm",
"aten/src/ATen/native/metal/ops/MetalConvolution.mm",
"aten/src/ATen/native/metal/ops/MetalCopy.mm",
"aten/src/ATen/native/metal/ops/MetalHardswish.mm",
"aten/src/ATen/native/metal/ops/MetalHardshrink.mm",
"aten/src/ATen/native/metal/ops/MetalLeakyReLU.mm",
"aten/src/ATen/native/metal/ops/MetalNeurons.mm",
"aten/src/ATen/native/metal/ops/MetalPadding.mm",
"aten/src/ATen/native/metal/ops/MetalPooling.mm",
"aten/src/ATen/native/metal/ops/MetalReduce.mm",
"aten/src/ATen/native/metal/ops/MetalReshape.mm",
"aten/src/ATen/native/metal/ops/MetalSoftmax.mm",
"aten/src/ATen/native/metal/ops/MetalTranspose.mm",
"aten/src/ATen/native/metal/ops/MetalUpsamplingNearest.mm",
]
UNET_METAL_PREPACK_SOURCE_LIST = [
"unet_metal_prepack.cpp",
"unet_metal_prepack.mm",
]
METAL_MASKRCNN_SOURCE_LIST = [
"maskrcnn/srcs/GenerateProposals.mm",
"maskrcnn/srcs/RoIAlign.mm",
]
# The get_template_source_dict() returns a dict containing a path prefix
# and a list of .cpp source files containing operator definitions and
# registrations that should get selected via templated selective build.
# The file selected_mobile_ops.h has the list of selected top level
# operators.
# NB: doesn't include generated files; copy_template_registration_files
# handles those specially
def get_template_source_dict():
ret = {}
for file_path in TEMPLATE_SOURCE_LIST:
path_prefix = paths.dirname(file_path)
if path_prefix not in ret:
ret[path_prefix] = []
ret[path_prefix].append(file_path)
return ret
def get_gen_oplist_outs():
return {
"SupportedMobileModelsRegistration.cpp": [
"SupportedMobileModelsRegistration.cpp",
],
"selected_mobile_ops.h": [
"selected_mobile_ops.h",
],
"selected_operators.yaml": [
"selected_operators.yaml",
],
}
def get_generate_code_bin_outs():
outs = {
"autograd/generated/ADInplaceOrViewTypeEverything.cpp": ["autograd/generated/ADInplaceOrViewTypeEverything.cpp"],
"autograd/generated/ADInplaceOrViewType_0.cpp": ["autograd/generated/ADInplaceOrViewType_0.cpp"],
"autograd/generated/ADInplaceOrViewType_1.cpp": ["autograd/generated/ADInplaceOrViewType_1.cpp"],
"autograd/generated/Functions.cpp": ["autograd/generated/Functions.cpp"],
"autograd/generated/Functions.h": ["autograd/generated/Functions.h"],
"autograd/generated/TraceTypeEverything.cpp": ["autograd/generated/TraceTypeEverything.cpp"],
"autograd/generated/TraceType_0.cpp": ["autograd/generated/TraceType_0.cpp"],
"autograd/generated/TraceType_1.cpp": ["autograd/generated/TraceType_1.cpp"],
"autograd/generated/TraceType_2.cpp": ["autograd/generated/TraceType_2.cpp"],
"autograd/generated/TraceType_3.cpp": ["autograd/generated/TraceType_3.cpp"],
"autograd/generated/TraceType_4.cpp": ["autograd/generated/TraceType_4.cpp"],
"autograd/generated/VariableType.h": ["autograd/generated/VariableType.h"],
"autograd/generated/VariableTypeEverything.cpp": ["autograd/generated/VariableTypeEverything.cpp"],
"autograd/generated/VariableType_0.cpp": ["autograd/generated/VariableType_0.cpp"],
"autograd/generated/VariableType_1.cpp": ["autograd/generated/VariableType_1.cpp"],
"autograd/generated/VariableType_2.cpp": ["autograd/generated/VariableType_2.cpp"],
"autograd/generated/VariableType_3.cpp": ["autograd/generated/VariableType_3.cpp"],
"autograd/generated/VariableType_4.cpp": ["autograd/generated/VariableType_4.cpp"],
"autograd/generated/variable_factories.h": ["autograd/generated/variable_factories.h"],
}
if is_arvr_mode():
outs.update({
"autograd/generated/python_enum_tag.cpp": ["autograd/generated/python_enum_tag.cpp"],
"autograd/generated/python_fft_functions.cpp": ["autograd/generated/python_fft_functions.cpp"],
"autograd/generated/python_functions.h": ["autograd/generated/python_functions.h"],
"autograd/generated/python_functions_0.cpp": ["autograd/generated/python_functions_0.cpp"],
"autograd/generated/python_functions_1.cpp": ["autograd/generated/python_functions_1.cpp"],
"autograd/generated/python_functions_2.cpp": ["autograd/generated/python_functions_2.cpp"],
"autograd/generated/python_functions_3.cpp": ["autograd/generated/python_functions_3.cpp"],
"autograd/generated/python_functions_4.cpp": ["autograd/generated/python_functions_4.cpp"],
"autograd/generated/python_linalg_functions.cpp": ["autograd/generated/python_linalg_functions.cpp"],
"autograd/generated/python_nested_functions.cpp": ["autograd/generated/python_nested_functions.cpp"],
"autograd/generated/python_nn_functions.cpp": ["autograd/generated/python_nn_functions.cpp"],
"autograd/generated/python_return_types.cpp": ["autograd/generated/python_return_types.cpp"],
"autograd/generated/python_sparse_functions.cpp": ["autograd/generated/python_sparse_functions.cpp"],
"autograd/generated/python_special_functions.cpp": ["autograd/generated/python_special_functions.cpp"],
"autograd/generated/python_torch_functions_0.cpp": ["autograd/generated/python_torch_functions_0.cpp"],
"autograd/generated/python_torch_functions_1.cpp": ["autograd/generated/python_torch_functions_1.cpp"],
"autograd/generated/python_torch_functions_2.cpp": ["autograd/generated/python_torch_functions_2.cpp"],
"autograd/generated/python_variable_methods.cpp": ["autograd/generated/python_variable_methods.cpp"],
})
return outs
def get_template_registration_files_outs(is_oss = False):
outs = {}
if not is_oss:
for file_path in TEMPLATE_MASKRCNN_SOURCE_LIST:
outs[file_path] = [file_path]
for file_path in TEMPLATE_BATCH_BOX_COX_SOURCE_LIST:
outs[file_path] = [file_path]
for file_path in TEMPLATE_SOURCE_LIST:
outs[file_path] = [file_path]
for base_name in aten_ufunc_generated_all_cpu_sources():
file_path = "aten/src/ATen/{}".format(base_name)
outs[file_path] = [file_path]
return outs
def get_template_registration_file_rules(rule_name, is_oss = False):
rules = []
for file_path in TEMPLATE_SOURCE_LIST if is_oss else (TEMPLATE_SOURCE_LIST + TEMPLATE_MASKRCNN_SOURCE_LIST + TEMPLATE_BATCH_BOX_COX_SOURCE_LIST):
rules.append(":{}[{}]".format(rule_name, file_path))
for file_path in aten_ufunc_generated_all_cpu_sources():
rules.append(":{}[aten/src/ATen/{}]".format(rule_name, file_path))
return rules
# ---------------------METAL RULES---------------------
def get_metal_source_dict():
ret = {}
for file_path in METAL_SOURCE_LIST:
path_prefix = paths.dirname(file_path)
if path_prefix not in ret:
ret[path_prefix] = []
ret[path_prefix].append(file_path)
return ret
def get_metal_registration_files_outs():
outs = {}
for file_path in METAL_SOURCE_LIST:
outs[file_path] = [file_path]
for file_path in UNET_METAL_PREPACK_SOURCE_LIST:
outs[file_path] = [file_path]
for file_path in METAL_MASKRCNN_SOURCE_LIST:
outs[file_path] = [file_path]
return outs
# There is a really weird issue with the arvr windows builds where
# the custom op files are breaking them. See https://fburl.com/za87443c
# The hack is just to not build them for that platform and pray they arent needed.
def get_metal_registration_files_outs_windows():
outs = {}
for file_path in METAL_SOURCE_LIST:
outs[file_path] = [file_path]
return outs
def get_metal_registration_files_rules(rule_name):
ret = {}
objc_rules = []
cxx_rules = []
for file_path in METAL_SOURCE_LIST + METAL_MASKRCNN_SOURCE_LIST + UNET_METAL_PREPACK_SOURCE_LIST:
if ".cpp" not in file_path:
objc_rules.append(":{}[{}]".format(rule_name, file_path))
else:
cxx_rules.append(":{}[{}]".format(rule_name, file_path))
ret["objc"] = objc_rules
ret["cxx"] = cxx_rules
return ret
def get_metal_registration_files_rules_windows(rule_name):
ret = {}
objc_rules = []
cxx_rules = []
for file_path in METAL_SOURCE_LIST:
if ".cpp" not in file_path:
objc_rules.append(":{}[{}]".format(rule_name, file_path))
else:
cxx_rules.append(":{}[{}]".format(rule_name, file_path))
ret["objc"] = objc_rules
ret["cxx"] = cxx_rules
return ret
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