8000 Update base for Update on "[pytree] hardcode values for `none_is_leaf… · pytorch/pytorch@6e11709 · GitHub
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Update base for Update on "[pytree] hardcode values for none_is_leaf and namespace in C++ pytree"
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‎.ci/docker/ci_commit_pins/executorch.txt

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@@ -1 +1 @@
1-
bed91223f660685325147a5027348356f11cdd17
1+
3a4bb06b3a3a36863ff9d7fca3cfee9d8f7b6613

‎.github/scripts/generate_binary_build_matrix.py

Lines changed: 42 additions & 24 deletions
Original file line numberDiff line numberDiff line change
@@ -24,19 +24,34 @@
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CPU_AARCH64_ARCH = ["cpu-aarch64"]
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27-
PYTORCH_EXTRA_INSTALL_REQUIREMENTS = (
28-
"nvidia-cuda-nvrtc-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64' | " # noqa: B950
29-
"nvidia-cuda-runtime-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64' | "
30-
"nvidia-cuda-cupti-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64' | "
31-
"nvidia-cudnn-cu12==8.9.2.26; platform_system == 'Linux' and platform_machine == 'x86_64' | "
32-
"nvidia-cublas-cu12==12.1.3.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
33-
"nvidia-cufft-cu12==11.0.2.54; platform_system == 'Linux' and platform_machine == 'x86_64' | "
34-
"nvidia-curand-cu12==10.3.2.106; platform_system == 'Linux' and platform_machine == 'x86_64' | "
35-
"nvidia-cusolver-cu12==11.4.5.107; platform_system == 'Linux' and platform_machine == 'x86_64' | "
36-
"nvidia-cusparse-cu12==12.1.0.106; platform_system == 'Linux' and platform_machine == 'x86_64' | "
37-
"nvidia-nccl-cu12==2.19.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
38-
"nvidia-nvtx-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64'"
39-
)
27+
PYTORCH_EXTRA_INSTALL_REQUIREMENTS = {
28+
"11.8": (
29+
"nvidia-cuda-nvrtc-cu11==11.8.89; platform_system == 'Linux' and platform_machine == 'x86_64' | " # noqa: B950
30+
"nvidia-cuda-runtime-cu11==11.8.89; platform_system == 'Linux' and platform_machine == 'x86_64' | "
31+
"nvidia-cuda-cupti-cu11==11.8.87; platform_system == 'Linux' and platform_machine == 'x86_64' | "
32+
"nvidia-cudnn-cu11==8.7.0.84; platform_system == 'Linux' and platform_machine == 'x86_64' | "
33+
"nvidia-cublas-cu11==11.11.3.6; platform_system == 'Linux' and platform_machine == 'x86_64' | "
34+
"nvidia-cufft-cu11==10.9.0.58; platform_system == 'Linux' and platform_machine == 'x86_64' | "
35+
"nvidia-curand-cu11==10.3.0.86; platform_system == 'Linux' and platform_machine == 'x86_64' | "
36+
"nvidia-cusolver-cu11==11.4.1.48; platform_system == 'Linux' and platform_machine == 'x86_64' | "
37+
"nvidia-cusparse-cu11==11.7.5.86; platform_system == 'Linux' and platform_machine == 'x86_64' | "
38+
"nvidia-nccl-cu11==2.19.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
39+
"nvidia-nvtx-cu11==11.8.86; platform_system == 'Linux' and platform_machine == 'x86_64'"
40+
),
41+
"12.1": (
42+
"nvidia-cuda-nvrtc-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64' | " # noqa: B950
43+
"nvidia-cuda-runtime-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64' | "
44+
"nvidia-cuda-cupti-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64' | "
45+
"nvidia-cudnn-cu12==8.9.2.26; platform_system == 'Linux' and platform_machine == 'x86_64' | "
46+
"nvidia-cublas-cu12==12.1.3.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
47+
"nvidia-cufft-cu12==11.0.2.54; platform_system == 'Linux' and platform_machine == 'x86_64' | "
48+
"nvidia-curand-cu12==10.3.2.106; platform_system == 'Linux' and platform_machine == 'x86_64' | "
49+
"nvidia-cusolver-cu12==11.4.5.107; platform_system == 'Linux' and platform_machine == 'x86_64' | "
50+
"nvidia-cusparse-cu12==12.1.0.106; platform_system == 'Linux' and platform_machine == 'x86_64' | "
51+
"nvidia-nccl-cu12==2.19.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
52+
"nvidia-nvtx-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64'"
53+
),
54+
}
4055

4156

4257
def get_nccl_submodule_version() -> str:
@@ -65,15 +80,17 @@ def get_nccl_submodule_version() -> str:
6580
return f"{d['NCCL_MAJOR']}.{d['NCCL_MINOR']}.{d['NCCL_PATCH']}"
6681

6782

68-
def get_nccl_wheel_version() -> str:
83+
def get_nccl_wheel_version(arch_version: str) -> str:
6984
import re
7085

71-
requrements = map(str.strip, re.split("[;|]", PYTORCH_EXTRA_INSTALL_REQUIREMENTS))
72-
return [x for x in requrements if x.startswith("nvidia-nccl-cu")][0].split("==")[1]
86+
requirements = map(
87+
str.strip, re.split("[;|]", PYTORCH_EXTRA_INSTALL_REQUIREMENTS[arch_version])
88+
)
89+
return [x for x in requirements if x.startswith("nvidia-nccl-cu")][0].split("==")[1]
7390

7491

75-
def validate_nccl_dep_consistency() -> None:
76-
wheel_ver = get_nccl_wheel_version()
92+
def validate_nccl_dep_consistency(arch_version: str) -> None:
93+
wheel_ver = get_nccl_wheel_version(arch_version)
7794
submodule_ver = get_nccl_submodule_version()
7895
if wheel_ver != submodule_ver:
7996
raise RuntimeError(
@@ -298,7 +315,7 @@ def generate_wheels_matrix(
298315
)
299316

300317
# 12.1 linux wheels require PYTORCH_EXTRA_INSTALL_REQUIREMENTS to install
301-
if arch_version == "12.1" and os == "linux":
318+
if arch_version in ["12.1", "11.8"] and os == "linux":
302319
ret.append(
303320
{
304321
"python_version": python_version,
@@ -310,7 +327,7 @@ def generate_wheels_matrix(
310327
"devtoolset": "",
311328
"container_image": WHEEL_CONTAINER_IMAGES[arch_version],
312329
"package_type": package_type,
313-
"pytorch_extra_install_requirements": PYTORCH_EXTRA_INSTALL_REQUIREMENTS,
330+
"pytorch_extra_install_requirements": PYTORCH_EXTRA_INSTALL_REQUIREMENTS[arch_version], # fmt: skip
314331
"build_name": f"{package_type}-py{python_version}-{gpu_arch_type}{gpu_arch_version}".replace( # noqa: B950
315332
".", "_"
316333
),
@@ -333,12 +350,13 @@ def generate_wheels_matrix(
333350
"build_name": f"{package_type}-py{python_version}-{gpu_arch_type}{gpu_arch_version}".replace(
334351
".", "_"
335352
),
336-
"pytorch_extra_install_requirements": PYTORCH_EXTRA_INSTALL_REQUIREMENTS
337-
if os != "linux"
338-
else "",
353+
"pytorch_extra_install_requirements":
354+
PYTORCH_EXTRA_INSTALL_REQUIREMENTS["12.1"] # fmt: skip
355+
if os != "linux" else "",
339356
}
340357
)
341358
return ret
342359

343360

344-
validate_nccl_dep_consistency()
361+
validate_nccl_dep_consistency("12.1")
362+
validate_nccl_dep_consistency("11.8")

‎.github/workflows/generated-linux-binary-manywheel-main.yml

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‎.github/workflows/generated-linux-binary-manywheel-nightly.yml

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‎aten/src/ATen/mps/MPSStream.mm

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}
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void MPSStream::fill(id<MTLBuffer> buffer, uint8_t value, size_t length, size_t offset, SyncType syncType) {
149-
TORCH_INTERNAL_ASSERT(length >= offset);
150-
if (length == 0)
149+
if (length == 0) {
151150
return;
151+
}
152152
dispatch_sync(_serialQueue, ^() {
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@autoreleasepool {
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endKernelCoalescing();

‎aten/src/ATen/native/mps/operations/ConstantOps.mm

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@@ -79,7 +79,7 @@ static bool fill_mps_tensor_(Tensor& self, uint8_t value) {
7979
if (self.is_contiguous()) {
8080
MPSStream* stream = getCurrentMPSStream();
8181
auto storage_byte_offset = self.storage_offset() * self.itemsize();
82-
stream->fill(mps::getMTLBufferStorage(self), 0, self.storage().nbytes(), storage_byte_offset);
82+
stream->fill(mps::getMTLBufferStorage(self), value, self.nbytes(), storage_byte_offset);
8383
return true;
8484
}
8585
return false;

‎aten/src/ATen/native/transformers/attention.cpp

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constexpr int mem_eff_alignment = 8;
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at::Tensor result_mask = mask;
550550
if (!aligned_tensor<mem_eff_alignment>(mask)) {
551-
TORCH_WARN_ONCE(
552-
"Memory Efficient Attention requires the attn_mask to be aligned to, ",
553-
mem_eff_alignment,
554-
" elements. "
555-
"Prior to calling SDPA, pad the last dimension of the attn_mask "
556-
"to be at least a multiple of ", mem_eff_alignment,
557-
" and then slice the attn_mask to the original size.");
558551
result_mask = pad_bias<mem_eff_alignment>(mask);
559552
}
560553
return result_mask.expand_symint(

‎benchmarks/dynamo/Makefile

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(cd ../../../torchdata && python setup.py install)
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(cd ../../../torchtext && python setup.py clean && python setup.py develop)
3737
(cd ../../../torchaudio && python setup.py clean && python setup.py develop)
38-
(cd ../../../FBGEMM/fbgemm_gpu && python setup.py clean && pip install -r requirements.txt && python setup.py develop)
38+
(cd ../../../FBGEMM/fbgemm_gpu && pip install -r requirements.txt && python setup.py clean && python setup.py develop)
3939
(cd ../../../torchrec && python setup.py clean && python setup.py develop)
4040
(cd ../../../detectron2 && python setup.py clean && python setup.py develop)
4141
(cd ../../../torchbenchmark && python install.py --continue_on_fail)

‎benchmarks/dynamo/ci_expected_accuracy/aot_eager_torchbench_inference.csv

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DALLE2_pytorch,fail_to_run,21
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DALLE2_pytorch,timeout,0
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‎benchmarks/dynamo/ci_expected_accuracy/cpu_inductor_torchbench_inference.csv

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phi_1_5,pass,74
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phi_1_5,pass,0
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