Note
This tutorial can be used interactively with Google Colab! You can also click here to run the Jupyter notebook locally.
Tuning High Performance Convolution on NVIDIA GPUs¶
Author: Lianmin Zheng
This is an advanced tutorial for writing high performance tunable template for NVIDIA GPU. By running auto-tuner on this template, we can outperform the vendor provided library CuDNN in many cases.
Note that this tutorial will not run on Windows or recent versions of macOS. To
get it to run, you will need to wrap the body of this tutorial in a if
__name__ == "__main__": block.
Install dependencies¶
To use autotvm package in tvm, we need to install some extra dependencies. (change “3” to “2” if you use python2):
pip3 install --user psutil xgboost tornado cloudpickle
To make TVM run faster in tuning, it is recommended to use cython as FFI of tvm. In the root directory of tvm, execute
pip3 install --user cython
sudo make cython3
Now return to python code. Import packages.
import logging
import sys
import numpy as np
import tvm
from tvm import te, topi, testing
from tvm.topi.testing import conv2d_nchw_python
import tvm.testing
from tvm import autotvm
Step 1: Define the search space¶
There are plenty of useful schedule primitives in tvm. You can also find some tutorials that describe them in more details, such as (1). How to optimize convolution on GPU (2). Optimizing DepthwiseConv on NVIDIA GPU
However, their implementations are manually tuned for some special input shapes. In this section, we build a large enough space to cover the techniques used in these tutorials. Then we rely on the efficient auto-tuner to search through this space and pick some good configurations.
If you are familiar with writing cuda schedule, you can find the following template is very general. Actually this template can be easily modified to tune other operators such as depthwise convolution and GEMM. In order to fully understand this template, you should be familiar with the schedule primitives and auto tuning API. You can refer to the above tutorials and autotvm tutorial
It is worth noting that the search space for a conv2d operator can be very large (at the level of 10^9 for some input shapes)
@autotvm.template("tutorial/conv2d_no_batching")
def conv2d_no_batching(N, H, W, CO, CI, KH, KW, stride, padding):
assert N == 1, "Only consider batch_size = 1 in this template"
data = te.placeholder((N, CI, H, W), name="data")
kernel = te.placeholder((CO, CI, KH, KW), name="kernel")
conv = topi.nn.conv2d_nchw(data, kernel, stride, padding, dilation=1, out_dtype="float32")
s = te.create_schedule([conv.op])
##### space definition begin #####
n, f, y, x = s[conv].op.axis
rc, ry, rx = s[conv].op.reduce_axis
cfg = autotvm.get_config()
cfg.define_split("tile_f", f, num_outputs=4)
cfg.define_split("tile_y", y, num_outputs=4)
cfg.define_split("tile_x", x, num_outputs=4)
cfg.define_split("tile_rc", rc, num_outputs=3)
cfg.define_split("tile_ry", ry, num_outputs=3)
cfg.define_split("tile_rx", rx, num_outputs=3)
cfg.define_knob("auto_unroll_max_step", [0, 512, 1500])
cfg.define_knob("unroll_explicit", [0, 1])
##### space definition end #####
# inline padding
pad_data = s[conv].op.input_tensors[0]
s[pad_data].compute_inline()
data, raw_data = pad_data, data
output = conv
OL = s.cache_write(conv, "local")
# create cache stage
AA = s.cache_read(data, "shared", [OL])
WW = s.cache_read(kernel, "shared", [OL])
AL = s.cache_read(AA, "local", [OL])
WL = s.cache_read(WW, "local", [OL])
# tile and bind spatial axes
n, f, y, x = s[output].op.axis
bf, vf, tf, fi = cfg["tile_f"].apply(s, output, f)
by, vy, ty, yi = cfg["tile_y"].apply(s, output, y)
bx, vx, tx, xi = cfg["tile_x"].apply(s, output, x)
kernel_scope = n # this is the scope to attach global config inside this kernel
s[output].bind(bf, te.thread_axis("blockIdx.z"))
s[output].bind(by, te.thread_axis("blockIdx.y"))
s[output].bind(bx, te.thread_axis("blockIdx.x"))
s[output].bind(vf, te.thread_axis("vthread"))
s[output].bind(vy, te.thread_axis("vthread"))
s[output].bind(vx, te.thread_axis("vthread"))
s[output].bind(tf, te.thread_axis("threadIdx.z"))
s[output].bind(ty, te.thread_axis("threadIdx.y"))
s[output].bind(tx, te.thread_axis("threadIdx.x"))
s[output].reorder(n, bf, by, bx, vf, vy, vx, tf, ty, tx, fi, yi, xi)
s[OL].compute_at(s[output], tx)
# tile reduction axes
n, f, y, x = s[OL].op.axis
rc, ry, rx = s[OL].op.reduce_axis
rco, rcm, rci = cfg["tile_rc"].apply(s, OL, rc)
ryo, rym, ryi = cfg["tile_rx"].apply(s, OL, ry)
rxo, rxm, rxi = cfg["tile_ry"].apply(s, OL, rx)
s[OL].reorder(rco, ryo, rxo, rcm, rym, rxm, rci, ryi, rxi, n, f, y, x)
s[AA].compute_at(s[OL], rxo)
s[WW].compute_at(s[OL], rxo)
s[AL].compute_at(s[OL], rxm)
s[WL].compute_at(s[OL], rxm)
# cooperative fetching
for load in [AA, WW]:
n, f, y, x = s[load].op.axis
fused = s[load].fuse(n, f, y, x)
tz, fused = s[load].split(fused, nparts=cfg["tile_f"].size[2])
ty, fused = s[load].split(fused, nparts=cfg["tile_y"].size[2])
tx, fused = s[load].split(fused, nparts=cfg["tile_x"].size[2])
s[load].bind(tz, te.thread_axis("threadIdx.z"))
s[load].bind(ty, te.thread_axis("threadIdx.y"))
s[load].bind(tx, te.thread_axis("threadIdx.x"))
# tune unroll
s[output].pragma(kernel_scope, "auto_unroll_max_step", cfg["auto_unroll_max_step"].val)
s[output].pragma(kernel_scope, "unroll_explicit", cfg["unroll_explicit"].val)
return s, [raw_data, kernel, conv]
Step 2: Search through the space¶
We pick the last layer on resnet as test case.
Since our space is very large, XGBoostTuner is most suitable
for our case. Here we only do 20 trials for demonstration.
In practice, making 1000 trials usually can find some good kernels
for this template
# logging config (for printing tuning log to screen)
logging.getLogger("autotvm").setLevel(logging.DEBUG)
logging.getLogger("autotvm").addHandler(logging.StreamHandler(sys.stdout))
# the last layer in resnet
N, H, W, CO, CI, KH, KW, strides, padding = 1, 7, 7, 512, 512, 3, 3, (1, 1), (1, 1)
task = autotvm.task.create(
"tutorial/conv2d_no_batching", args=(N, H, W, CO, CI, KH, KW, strides, padding), target="cuda"
)
print(task.config_space)
# Use local gpu, measure 10 times for every config to reduce variance
# The timeout of compiling a program is 10 seconds, the timeout for running is 4 seconds
measure_option = autotvm.measure_option(
builder=autotvm.LocalBuilder(),
runner=autotvm.LocalRunner(repeat=3, min_repeat_ms=100, timeout=4),
)
# Begin tuning, log records to file `conv2d.log`
# During tuning we will also try many invalid configs, so you are expected to
# see many error reports. As long as you can see non-zero GFLOPS, it is okay.
tuner = autotvm.tuner.XGBTuner(task)
tuner.tune(
n_trial=20,
measure_option=measure_option,
callbacks=[autotvm.callback.log_to_file("conv2d.log")],
)
ConfigSpace (len=10454400, range_length=10454400, space_map=
0 tile_f: Split(policy=factors, product=512, num_outputs=4) len=220
1 tile_y: Split(policy=factors, product=7, num_outputs=4) len=4
2 tile_x: Split(policy=factors, product=7, num_outputs=4) len=4
3 tile_rc: Split(policy=factors, product=512, num_outputs=3) len=55
4 tile_ry: Split(policy=factors, product=3, num_outputs=3) len=3
5 tile_rx: Split(policy=factors, product=3, num_outputs=3) len=3
6 auto_unroll_max_step: OtherOption([0, 512, 1500]) len=3
7 unroll_explicit: OtherOption([0, 1]) len=2
)
waiting for device...
device available
Get devices for measurement successfully!
No: 1 GFLOPS: 493.50/493.50 result: MeasureResult(costs=(0.00046910313278008295,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.4762651920318604, timestamp=1684053139.7162235) [('tile_f', [-1, 8, 2, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 1, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,1864347
No: 2 GFLOPS: 0.00/493.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
func = build(s, args, target=target, runtime=runtime)
File "/workspace/python/tvm/driver/build_module.py", line 227, in build
input_mod = lower(inputs, args, name=name, binds=binds)
File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
return ffi.lower_schedule(inp, args, name, binds, simple_mode)
File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
tvm._ffi.base.TVMError: Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 128, 4, 1]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 64, 2]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2767846
No: 3 GFLOPS: 0.00/493.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
func = build(s, args, target=target, runtime=runtime)
File "/workspace/python/tvm/driver/build_module.py", line 227, in build
input_mod = lower(inputs, args, name=name, binds=binds)
File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
return ffi.lower_schedule(inp, args, name, binds, simple_mode)
File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
tvm._ffi.base.TVMError: Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 16, 4]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 128]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,5599126
No: 4 GFLOPS: 5.47/493.50 result: MeasureResult(costs=(0.04231142425,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.914372682571411, timestamp=1684053144.0091739) [('tile_f', [-1, 2, 8, 4]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 8, 4]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1240262
No: 5 GFLOPS: 0.00/493.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
func = build(s, args, target=target, runtime=runtime)
File "/workspace/python/tvm/driver/build_module.py", line 227, in build
input_mod = lower(inputs, args, name=name, binds=binds)
File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
return ffi.lower_schedule(inp, args, name, binds, simple_mode)
File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
tvm._ffi.base.TVMError: Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 64, 1, 8]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 16]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,5541062
No: 6 GFLOPS: 0.00/493.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 742, in __call__
yield remote, remote.load_module(os.path.split(build_result.filename)[1])
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 706, in run_through_rpc
costs = time_f(*args).results
File "/workspace/python/tvm/runtime/module.py", line 399, in evaluator
blob = feval(*args)
File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 262, in tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./packed_func.pxi", line 251, in tvm._ffi._cy3.core.FuncCall3
File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
tvm._ffi.base.TVMError: Traceback (most recent call last):
4: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
3: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
2: tvm::runtime::RPCWrappedFunc::operator()(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../src/runtime/rpc/rpc_module.cc:129
1: tvm::runtime::RPCClientSession::CallFunc(void*, TVMValue const*, int const*, int, std::function<void (tvm::runtime::TVMArgs)> const&)
at ../src/runtime/rpc/rpc_endpoint.cc:1012
0: tvm::runtime::RPCEndpoint::CallFunc(void*, TVMValue const*, int const*, int, std::function<void (tvm::runtime::TVMArgs)>)
at ../src/runtime/rpc/rpc_endpoint.cc:804
File "../src/runtime/rpc/rpc_endpoint.cc", line 804
TVMError:
---------------------------------------------------------------
An error occurred during the execution of TVM.
For more information, please see: https://tvm.apache.org/docs/errors.html
---------------------------------------------------------------
Check failed: (code == RPCCode::kReturn) is false: code=kShutdown
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 706, in run_through_rpc
costs = time_f(*args).results
File "/usr/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 746, in __call__
remote.remove(build_result.filename)
File "/workspace/python/tvm/rpc/client.py", line 144, in remove
self._remote_funcs["remove"] = self.get_function("tvm.rpc.server.remove")
File "/workspace/python/tvm/rpc/client.py", line 72, in get_function
return self._sess.get_function(name)
File "/workspace/python/tvm/runtime/module.py", line 179, in get_function
self.handle, c_str(name), ctypes.c_int(query_imports), ctypes.byref(ret_handle)
File "/workspace/python/tvm/_ffi/base.py", line 348, in check_call
raise get_last_ffi_error()
tvm._ffi.base.TVMError: Traceback (most recent call last):
52: 0xffffffffffffffff
51: _start
50: __libc_start_main
49: _Py_UnixMain
48: 0x0000000000650da0
47: 0x0000000000650afa
46: _PyFunction_FastCallDict
45: _PyEval_EvalCodeWithName
44: _PyEval_EvalFrameDefault
43: _PyFunction_FastCallKeywords
42: _PyEval_EvalCodeWithName
41: _PyEval_EvalFrameDefault
40: _PyMethodDef_RawFastCallKeywords
39: 0x0000000000546369
38: _PyEval_EvalCodeWithName
37: _PyEval_EvalFrameDefault
36: _PyFunction_FastCallKeywords
35: _PyEval_EvalCodeWithName
34: _PyEval_EvalFrameDefault
33: _PyFunction_FastCallDict
32: _PyEval_EvalCodeWithName
31: _PyEval_EvalFrameDefault
30: _PyObject_FastCallDict
29: 0x00000000004c06e1
28: _PyFunction_FastCallDict
27: _PyEval_EvalFrameDefault
26: _PyMethodDescr_FastCallKeywords
25: 0x00000000005dcb58
24: 0x00000000005dc83f
23: 0x00000000004ba127
22: _PyEval_EvalFrameDefault
21: _PyFunction_FastCallKeywords
20: _PyEval_EvalFrameDefault
19: _PyFunction_FastCallKeywords
18: _PyEval_EvalFrameDefault
17: _PyFunction_FastCallKeywords
16: _PyEval_EvalCodeWithName
15: _PyEval_EvalFrameDefault
14: 0x0000000000537c30
13: _PyObject_FastCallKeywords
12: 0x00007f1833716fa2
11: _ctypes_callproc
10: ffi_call
9: ffi_call_unix64
8: TVMModGetFunction
at ../src/runtime/c_runtime_api.cc:408
7: tvm::runtime::ModuleNode::GetFunction(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, bool)
at ../src/runtime/module.cc:66
6: tvm::runtime::RPCModuleNode::GetFunction(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tvm::runtime::ObjectPtr<tvm::runtime::Object> const&)
at ../src/runtime/rpc/rpc_module.cc:187
5: tvm::runtime::RPCClientSession::GetFunction(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)
at ../src/runtime/rpc/rpc_endpoint.cc:1007
4: tvm::runtime::TVMRetValue tvm::runtime::RPCEndpoint::SysCallRemote<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&>(tvm::runtime::RPCCode, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)
at ../src/runtime/rpc/rpc_endpoint.h:223
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&>(int&&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/rpc/rpc_endpoint.cc:684
File "../src/runtime/rpc/rpc_endpoint.cc", line 684
TVMError:
---------------------------------------------------------------
An error occurred during the execution of TVM.
For more information, please see: https://tvm.apache.org/docs/errors.html
---------------------------------------------------------------
Check failed: (code == RPCCode::kReturn) is false: code=1
Traceback (most recent call last):
52: 0xffffffffffffffff
51: _start
50: __libc_start_main
49: _Py_UnixMain
48: 0x0000000000650da0
47: 0x0000000000650afa
46: _PyFunction_FastCallDict
45: _PyEval_EvalCodeWithName
44: _PyEval_EvalFrameDefault
43: _PyFunction_FastCallKeywords
42: _PyEval_EvalCodeWithName
41: _PyEval_EvalFrameDefault
40: _PyMethodDef_RawFastCallKeywords
39: 0x0000000000546369
38: _PyEval_EvalCodeWithName
37: _PyEval_EvalFrameDefault
36: _PyFunction_FastCallKeywords
35: _PyEval_EvalCodeWithName
34: _PyEval_EvalFrameDefault
33: _PyFunction_FastCallDict
32: _PyEval_EvalCodeWithName
31: _PyEval_EvalFrameDefault
30: _PyObject_FastCallDict
29: 0x00000000004c06e1
28: _PyFunction_FastCallDict
27: _PyEval_EvalFrameDefault
26: _PyMethodDescr_FastCallKeywords
25: 0x00000000005dcb58
24: 0x00000000005dc83f
23: 0x00000000004ba127
22: _PyEval_EvalFrameDefault
21: _PyFunction_FastCallKeywords
20: _PyEval_EvalFrameDefault
19: _PyFunction_FastCall [('tile_f', [-1, 4, 1, 64]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 4, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9106662
No: 7 GFLOPS: 52.90/493.50 result: MeasureResult(costs=(0.0043763200810810815,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.679898738861084, timestamp=1684053154.9752824) [('tile_f', [-1, 1, 8, 2]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 2, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7095739
No: 8 GFLOPS: 61.57/493.50 result: MeasureResult(costs=(0.003759748666666667,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.573529005050659, timestamp=1684053155.85685) [('tile_f', [-1, 16, 4, 4]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 2]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1009039
No: 9 GFLOPS: 0.00/493.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
func = build(s, args, target=target, runtime=runtime)
File "/workspace/python/tvm/driver/build_module.py", line 227, in build
input_mod = lower(inputs, args, name=name, binds=binds)
File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
return ffi.lower_schedule(inp, args, name, binds, simple_mode)
File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
tvm._ffi.base.TVMError: Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 32, 8, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 128]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7337252
No: 10 GFLOPS: 0.00/493.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
func = build(s, args, target=target, runtime=runtime)
File "/workspace/python/tvm/driver/build_module.py", line 227, in build
input_mod = lower(inputs, args, name=name, binds=binds)
File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
return ffi.lower_schedule(inp, args, name, binds, simple_mode)
File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
tvm._ffi.base.TVMError: Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 8, 32, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 8, 64]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7720283
No: 11 GFLOPS: 0.00/493.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
func = build(s, args, target=target, runtime=runtime)
File "/workspace/python/tvm/driver/build_module.py", line 227, in build
input_mod = lower(inputs, args, name=name, binds=binds)
File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
return ffi.lower_schedule(inp, args, name, binds, simple_mode)
File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
tvm._ffi.base.TVMError: Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 16, 16]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 8, 64]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9657962
No: 12 GFLOPS: 0.00/493.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
func = build(s, args, target=target, runtime=runtime)
File "/workspace/python/tvm/driver/build_module.py", line 227, in build
input_mod = lower(inputs, args, name=name, binds=binds)
File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
return ffi.lower_schedule(inp, args, name, binds, simple_mode)
File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
tvm._ffi.base.TVMError: Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 4, 128]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 8, 1]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7176395
No: 13 GFLOPS: 0.00/493.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
func = build(s, args, target=target, runtime=runtime)
File "/workspace/python/tvm/driver/build_module.py", line 227, in build
input_mod = lower(inputs, args, name=name, binds=binds)
File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
return ffi.lower_schedule(inp, args, name, binds, simple_mode)
File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
tvm._ffi.base.TVMError: Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 32, 1]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 256]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1539380
No: 14 GFLOPS: 0.00/493.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
func = build(s, args, target=target, runtime=runtime)
File "/workspace/python/tvm/driver/build_module.py", line 227, in build
input_mod = lower(inputs, args, name=name, binds=binds)
File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
return ffi.lower_schedule(inp, args, name, binds, simple_mode)
File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
tvm._ffi.base.TVMError: Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 8, 32]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 1, 32]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7500217
No: 15 GFLOPS: 32.79/493.50 result: MeasureResult(costs=(0.007059319533333333,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.215235710144043, timestamp=1684053157.5502224) [('tile_f', [-1, 1, 64, 8]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 4, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,5234403
No: 16 GFLOPS: 0.00/493.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
func = build(s, args, target=target, runtime=runtime)
File "/workspace/python/tvm/driver/build_module.py", line 227, in build
input_mod = lower(inputs, args, name=name, binds=binds)
File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
return ffi.lower_schedule(inp, args, name, binds, simple_mode)
File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
tvm._ffi.base.TVMError: Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 4, 128]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 8, 64]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7335015
No: 17 GFLOPS: 5.62/493.50 result: MeasureResult(costs=(0.041211478999999995,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.9723730087280273, timestamp=1684053161.7252111) [('tile_f', [-1, 16, 4, 4]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 2, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,6974119
No: 18 GFLOPS: 0.00/493.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
func = build(s, args, target=target, runtime=runtime)
File "/workspace/python/tvm/driver/build_module.py", line 227, in build
input_mod = lower(inputs, args, name=name, binds=binds)
File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
return ffi.lower_schedule(inp, args, name, binds, simple_mode)
File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
tvm._ffi.base.TVMError: Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
Traceback (most recent call last):
24: TVMFuncCall
at ../src/runtime/c_runtime_api.cc:477
23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
22: Call
at ../include/tvm/runtime/packed_func.h:1213
21: operator()
at ../include/tvm/runtime/packed_func.h:1734
20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
at ../include/tvm/runtime/packed_func.h:1674
19: run<>
at ../include/tvm/runtime/packed_func.h:1634
18: run<tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1634
14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
at ../include/tvm/runtime/packed_func.h:1649
13: operator()
at ../src/driver/driver_api.cc:402
12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
at ../src/driver/driver_api.cc:388
11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
at ../src/driver/driver_api.cc:283
10: tvm::transform::Pass::operator()(tvm::IRModule) const
at ../src/ir/transform.cc:258
9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:451
7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/ir/transform.cc:274
6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
at ../src/tir/ir/transform.cc:101
5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
at ../include/tvm/runtime/packed_func.h:1753
4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
at ../include/tvm/runtime/packed_func.h:1697
3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
at ../include/tvm/runtime/packed_func.h:1621
2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
at ../include/tvm/runtime/packed_func.h:1217
1: Call
at ../include/tvm/runtime/packed_func.h:1213
0: operator()
at ../src/runtime/c_runtime_api.cc:534
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 8, 4]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 512, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1000243
No: 19 GFLOPS: 2.80/493.50 result: MeasureResult(costs=(0.08274494925,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.467604398727417, timestamp=1684053163.3445394) [('tile_f', [-1, 2, 1, 128]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 2, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3489851
No: 20 GFLOPS: 60.29/493.50 result: MeasureResult(costs=(0.0038396965185185186,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.1506052017211914, timestamp=1684053164.2319014) [('tile_f', [-1, 8, 4, 4]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 1, 4]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4135018
Finally we can inspect the best config from log file, check correctness, and measure running time.
# inspect the best config
dispatch_context = autotvm.apply_history_best("conv2d.log")
best_config = dispatch_context.query(task.target, task.workload)
print("\nBest config:")
print(best_config)
# apply history best from log file
with autotvm.apply_history_best("conv2d.log"):
with tvm.target.Target("cuda"):
s, arg_bufs = conv2d_no_batching(N, H, W, CO, CI, KH, KW, strides, padding)
func = tvm.build(s, arg_bufs)
# check correctness
a_np = np.random.uniform(size=(N, CI, H, W)).astype(np.float32)
w_np = np.random.uniform(size=(CO, CI, KH, KW)).astype(np.float32)
c_np = conv2d_nchw_python(a_np, w_np, strides, padding)
dev = tvm.cuda()
a_tvm = tvm.nd.array(a_np, device=dev)
w_tvm = tvm.nd.array(w_np, device=dev)
c_tvm = tvm.nd.empty(c_np.shape, device=dev)
func(a_tvm, w_tvm, c_tvm)
tvm.testing.assert_allclose(c_np, c_tvm.numpy(), rtol=1e-2)
# Evaluate running time. Here we choose a large repeat number (400) to reduce the noise
# and the overhead of kernel launch. You can also use nvprof to validate the result.
evaluator = func.time_evaluator(func.entry_name, dev, number=400)
print("Time cost of this operator: %f" % evaluator(a_tvm, w_tvm, c_tvm).mean)
Finish loading 20 records
Best config:
[('tile_f', [-1, 8, 2, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 1, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,1864347
Finish loading 20 records
Time cost of this operator: 0.000832