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Merged
merged 2 commits into from
Jul 12, 2023
Merged

chore: Update Torch to Jul 3 Nightly #2099

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a6fdec1
chore: Update Torch to Jul 9 Nightly
gs-olive Jul 11, 2023
f7789d3
Roll back to 0703
gs-olive Jul 12, 2023
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8 changes: 4 additions & 4 deletions .circleci/config.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -252,10 +252,10 @@ commands:
parameters:
torch-build:
type: string
default: "2.1.0.dev20230619+cu121"
default: "2.1.0.dev20230703+cu121"
torchvision-build:
type: string
default: "0.16.0.dev20230619+cu121"
default: "0.16.0.dev20230703+cu121"
torch-build-index:
type: string
default: "https://download.pytorch.org/whl/nightly/cu121"
Expand Down Expand Up @@ -1338,10 +1338,10 @@ parameters:
# Nightly platform config
torch-build:
type: string
default: "2.1.0.dev20230619+cu121"
default: "2.1.0.dev20230703+cu121"
torchvision-build:
type: string
default: "0.16.0.dev20230619+cu121"
default: "0.16.0.dev20230703+cu121"
torch-build-index:
type: string
default: "https://download.pytorch.org/whl/nightly/cu121"
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -116,7 +116,7 @@ torch.jit.save(trt_ts_module, "trt_torchscript_module.ts") # save the TRT embedd
These are the following dependencies used to verify the testcases. Torch-TensorRT can work with other versions, but the tests are not guaranteed to pass.

- Bazel 5.2.0
- Libtorch 2.1.0.dev20230619 (built with CUDA 12.1)
- Libtorch 2.1.0.dev20230703 (built with CUDA 12.1)
- CUDA 12.1
- cuDNN 8.8.1
- TensorRT 8.6.1
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8 changes: 4 additions & 4 deletions WORKSPACE
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Expand Up @@ -51,17 +51,17 @@ new_local_repository(
http_archive(
name = "libtorch",
build_file = "@//third_party/libtorch:BUILD",
sha256 = "5ba55259b65e071346a2b547b8d1378595f1467a39aaa923fecb09f134f1bcba",
sha256 = "1ae8366aaf7af7f68f142ba644fe26c837c6fa8347ec6bd9ce605ac60e7f7e5e",
strip_prefix = "libtorch",
urls = ["https://download.pytorch.org/libtorch/nightly/cu121/libtorch-cxx11-abi-shared-with-deps-2.1.0.dev20230619%2Bcu121.zip"],
urls = ["https://download.pytorch.org/libtorch/nightly/cu121/libtorch-cxx11-abi-shared-with-deps-2.1.0.dev20230703%2Bcu121.zip"],
)

http_archive(
name = "libtorch_pre_cxx11_abi",
build_file = "@//third_party/libtorch:BUILD",
sha256 = "8f6661bfc11597e77400e9e36cc8dd8e5e385ba82361d630d9ccede8518d7c7e",
sha256 = "9add4832f4da9223866d85810820b816ab3319d5a227066101eeb6cbb76adb4b",
strip_prefix = "libtorch",
urls = ["https://download.pytorch.org/libtorch/nightly/cu121/libtorch-shared-with-deps-2.1.0.dev20230619%2Bcu121.zip"],
urls = ["https://download.pytorch.org/libtorch/nightly/cu121/libtorch-shared-with-deps-2.1.0.dev20230703%2Bcu121.zip"],
)

# Download these tarballs manually from the NVIDIA website
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4 changes: 2 additions & 2 deletions py/requirements.txt
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Expand Up @@ -2,7 +2,7 @@ numpy
packaging
pybind11==2.6.2
--extra-index-url https://download.pytorch.org/whl/nightly/cu121
torch==2.1.0.dev20230619+cu121
torchvision==0.16.0.dev20230619+cu121
torch==2.1.0.dev20230703+cu121
torchvision==0.16.0.dev20230703+cu121
--extra-index-url https://pypi.ngc.nvidia.com
tensorrt==8.6.1
4 changes: 0 additions & 4 deletions py/torch_tensorrt/dynamo/backend/lowering/_decompositions.py
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Expand Up @@ -27,12 +27,8 @@ def inplace_op(*args, **kwargs):
replace_inplace_op(aten.addmv_, aten.addmv)
replace_inplace_op(aten.baddbmm_, aten.baddbmm)
replace_inplace_op(aten.cumprod_, aten.cumprod)
replace_inplace_op(aten.fill_, aten.fill)
replace_inplace_op(aten.gelu_, aten.gelu)
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are these being dropped for a specific reason?

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Yes, torch's default aten decompositions are now including these, which was causing failures (duplicate decomposition registrations).

replace_inplace_op(aten.hardsigmoid_, aten.hardsigmoid)
replace_inplace_op(aten.index_put_, aten.index_put)
replace_inplace_op(aten.index_reduce_, aten.index_reduce)
replace_inplace_op(aten.logit_, aten.logit)
replace_inplace_op(aten.relu_, aten.relu)
replace_inplace_op(aten.round_, aten.round)
replace_inplace_op(aten.scatter_, aten.scatter)
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10 changes: 5 additions & 5 deletions py/torch_tensorrt/fx/test/passes/test_fix_reshape_batch_dim.py
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Expand Up @@ -35,11 +35,11 @@ def forward(self, x, y):

expected_graph = r"""
graph():
%x : [#users=0] = placeholder[target=x]
%y : [#users=2] = placeholder[target=y]
%size : [#users=1] = call_function[target=torch_tensorrt.fx.tracer.acc_tracer.acc_ops.size](args = (), kwargs = {input: %y})
%getitem_1 : [#users=1] = call_function[target=torch_tensorrt.fx.tracer.acc_tracer.acc_ops.getitem](args = (), kwargs = {idx: 0, input: %size})
%reshape : [#users=1] = call_function[target=torch_tensorrt.fx.tracer.acc_tracer.acc_ops.reshape](args = (), kwargs = {input: %y, acc_out_ty: ((%getitem_1, -1, 3), None, None, None, None, None, None)})
%x : [num_users=0] = placeholder[target=x]
%y : [num_users=2] = placeholder[target=y]
%size : [num_users=1] = call_function[target=torch_tensorrt.fx.tracer.acc_tracer.acc_ops.size](args = (), kwargs = {input: %y})
%getitem_1 : [num_users=1] = call_function[target=torch_tensorrt.fx.tracer.acc_tracer.acc_ops.getitem](args = (), kwargs = {idx: 0, input: %size})
%reshape : [num_users=1] = call_function[target=torch_tensorrt.fx.tracer.acc_tracer.acc_ops.reshape](args = (), kwargs = {input: %y, acc_out_ty: ((%getitem_1, -1, 3), None, None, None, None, None, None)})
return reshape
"""
assert (
Expand Down
12 changes: 6 additions & 6 deletions py/torch_tensorrt/fx/test/passes/test_remove_duplicate_output_args.py
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Expand Up @@ -47,11 +47,11 @@ def is_leaf_module(self, m, qn):
ttop_graph_actual = str(ttop.graph).strip()
ttop_graph_expected = """
graph():
%x : [#users=1] = placeholder[target=x]
%a : [#users=2] = call_module[target=a](args = (%x,), kwargs = {})
%getitem : [#users=1] = call_function[target=operator.getitem](args = (%a, 0), kwargs = {})
%getitem_1 : [#users=1] = call_function[target=operator.getitem](args = (%a, 0), kwargs = {})
%add : [#users=1] = call_function[target=operator.add](args = (%getitem, %getitem_1), kwargs = {})
%x : [num_users=1] = placeholder[target=x]
%a : [num_users=2] = call_module[target=a](args = (%x,), kwargs = {})
%getitem : [num_users=1] = call_function[target=operator.getitem](args = (%a, 0), kwargs = {})
%getitem_1 : [num_users=1] = call_function[target=operator.getitem](args = (%a, 0), kwargs = {})
%add : [num_users=1] = call_function[target=operator.add](args = (%getitem, %getitem_1), kwargs = {})
return add
""".strip()
assert (
Expand All @@ -61,7 +61,7 @@ def is_leaf_module(self, m, qn):
ttop_a_graph_actual = str(ttop.a.graph).strip()
ttop_a_graph_expected = """
graph():
%x : [#users=1] = placeholder[target=x]
%x : [num_users=1] = placeholder[target=x]
return (x,)
""".strip()
assert (
Expand Down
8 changes: 4 additions & 4 deletions toolchains/ci_workspaces/WORKSPACE.x86_64.release.rhel
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Expand Up @@ -56,17 +56,17 @@ new_local_repository(
http_archive(
name = "libtorch",
build_file = "@//third_party/libtorch:BUILD",
sha256 = "5ba55259b65e071346a2b547b8d1378595f1467a39aaa923fecb09f134f1bcba",
sha256 = "1ae8366aaf7af7f68f142ba644fe26c837c6fa8347ec6bd9ce605ac60e7f7e5e",
strip_prefix = "libtorch",
urls = ["https://download.pytorch.org/libtorch/nightly/cu121/libtorch-cxx11-abi-shared-with-deps-2.1.0.dev20230619%2Bcu121.zip"],
urls = ["https://download.pytorch.org/libtorch/nightly/cu121/libtorch-cxx11-abi-shared-with-deps-2.1.0.dev20230703%2Bcu121.zip"],
)

http_archive(
name = "libtorch_pre_cxx11_abi",
build_file = "@//third_party/libtorch:BUILD",
sha256 = "8f6661bfc11597e77400e9e36cc8dd8e5e385ba82361d630d9ccede8518d7c7e",
sha256 = "9add4832f4da9223866d85810820b816ab3319d5a227066101eeb6cbb76adb4b",
strip_prefix = "libtorch",
urls = ["https://download.pytorch.org/libtorch/nightly/cu121/libtorch-shared-with-deps-2.1.0.dev20230619%2Bcu121.zip"],
urls = ["https://download.pytorch.org/libtorch/nightly/cu121/libtorch-shared-with-deps-2.1.0.dev20230703%2Bcu121.zip"],
)

####################################################################################
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8 changes: 4 additions & 4 deletions toolchains/ci_workspaces/WORKSPACE.x86_64.release.ubuntu
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Expand Up @@ -56,17 +56,17 @@ new_local_repository(
http_archive(
name = "libtorch",
build_file = "@//third_party/libtorch:BUILD",
sha256 = "5ba55259b65e071346a2b547b8d1378595f1467a39aaa923fecb09f134f1bcba",
sha256 = "1ae8366aaf7af7f68f142ba644fe26c837c6fa8347ec6bd9ce605ac60e7f7e5e",
strip_prefix = "libtorch",
urls = ["https://download.pytorch.org/libtorch/nightly/cu121/libtorch-cxx11-abi-shared-with-deps-2.1.0.dev20230619%2Bcu121.zip"],
urls = ["https://download.pytorch.org/libtorch/nightly/cu121/libtorch-cxx11-abi-shared-with-deps-2.1.0.dev20230703%2Bcu121.zip"],
)

http_archive(
name = "libtorch_pre_cxx11_abi",
build_file = "@//third_party/libtorch:BUILD",
sha256 = "8f6661bfc11597e77400e9e36cc8dd8e5e385ba82361d630d9ccede8518d7c7e",
sha256 = "9add4832f4da9223866d85810820b816ab3319d5a227066101eeb6cbb76adb4b",
strip_prefix = "libtorch",
urls = ["https://download.pytorch.org/libtorch/nightly/cu121/libtorch-shared-with-deps-2.1.0.dev20230619%2Bcu121.zip"],
urls = ["https://download.pytorch.org/libtorch/nightly/cu121/libtorch-shared-with-deps-2.1.0.dev20230703%2Bcu121.zip"],
)

####################################################################################
Expand Down