Fix extent one for the post_stmt in loop partition #3734

umangyadav · 2019-08-08T13:51:37Z

solves LoopPartition generates the tail loop with extent one #3733
removes redundant condition check for pre_stmt and post_stmt

umangyadav · 2019-08-08T14:00:56Z

@ZihengJiang @tqchen @derisavi Can you please review this? Thanks.

umangyadav · 2019-08-08T14:08:58Z

src/pass/loop_partition.cc

@@ -509,46 +509,42 @@ Stmt LoopPartitioner::TryPartition(const Node* node,
  bool pre_stmt_recurse = true;
  if (middle_interval_i->HasLowerBound()) {
    body_begin = ir::Simplify(middle_interval.min());
-    if (!analyzer_.CanProve(body_begin == min)) {


this check is removed as we are doing the same later on line 514 when

Expression body_begin - min >= 0 is checked for non-negativity.

In the other case:
Let'say body_begin == min then, pre_stmt will be of zero extent which will later be remove by RemoveNoOp.

Same goes with post_stmt.

umangyadav · 2019-08-08T14:40:49Z

tests/python/unittest/test_pass_bound_checkers.py

@@ -37,6 +37,7 @@ def lower(sch, args):
    bounds = tvm.schedule.InferBound(sch)
    stmt = tvm.schedule.ScheduleOps(sch, bounds)
    stmt = tvm.ir_pass.LoopPartition(stmt, True)
+    stmt = tvm.ir_pass.RemoveNoOp(stmt)


Ideally, we should put the call to RemoveNoOp in the loop partition pass itself to get the cleaner output. See #3726. But it breaks some tests in the test_pass_loop_partition. So for now, just fixing it here.

umangyadav · 2019-08-09T16:25:44Z

@tqchen @ZihengJiang @derisavi

The CI has failed on test_topi_math.py test for the arm-cpu backed for this PR.

I tried to debug why and I am not able to figure out. Any help is appreciated.

Consider the following input HalideIR to the LoopPartition generated from running
floor test from test_ewise in test_topi_math.py, where the shape used is (m, l) = (20, 3).

// Input to the LoopPartition
produce compute {
  parallel (i0, 0, m) {
    for (i1.outer, 0, ((l + 7)/8)) {
      vectorized (i1.inner, 0, 8) {
        if (likely((((i1.outer*8) + i1.inner) < l))) {
          if (likely((((i1.outer*8) + i1.inner) < l))) {
            compute[(((i1.outer*8) + (i0*l)) + i1.inner)] = floor(A[(((i1.outer*8) + (i0*l)) + i1.inner)])
          }
        }
      }
    }
  }
}

Following is the output of the LoopPartition from the TVM develop branch.

produce compute {
  parallel (i0, 0, m) {
    for (i1.outer, 0, min((((l - 8)/8) + 1), (((l + 7)/8) - 1))) {
      vectorized (i1.inner, 0, 8) {
        if ((bool)1) {
          if ((bool)1) {
            compute[(((i1.outer*8) + (i0*l)) + i1.inner)] = floor(A[(((i1.outer*8) + (i0*l)) + i1.inner)])
          }
        }
      }
    }
    for (i1.outer, 0, (((((l + 7)/8) - 1) - min((((l - 8)/8) + 1), (((l + 7)/8) - 1))) + 1)) {
      vectorized (i1.inner, 0, 8) {
        if (((((i1.outer + min((((l - 8)/8) + 1), (((l + 7)/8) - 1)))*8) + i1.inner) < l)) {
          if (((((i1.outer + min((((l - 8)/8) + 1), (((l + 7)/8) - 1)))*8) + i1.inner) < l)) {
            compute[((((i1.outer + min((((l - 8)/8) + 1), (((l + 7)/8) - 1)))*8) + (i0*l)) + i1.inner)] = floor(A[((((i1.outer + min((((l - 8)/8) + 1), (((l + 7)/8) - 1)))*8) + (i0*l)) + i1.inner)])
          }
        }
      }
    }
  }
}

And following is the loop partition output with changes of this PR.

LoopPartition output:
produce compute {
  parallel (i0, 0, m) {
    for (i1.outer, 0, min((((l - 8)/8) + 1), ((((l + 7)/8) - 1) + 1))) {
      vectorized (i1.inner, 0, 8) {
        if ((bool)1) {
          if ((bool)1) {
            compute[(((i1.outer*8) + (i0*l)) + i1.inner)] = floor(A[(((i1.outer*8) + (i0*l)) + i1.inner)])
          }
        }
      }
    }
    for (i1.outer, 0, (((((l + 7)/8) - 1) - min((((l - 8)/8) + 1), ((((l + 7)/8) - 1) + 1))) + 1)) {
      vectorized (i1.inner, 0, 8) {
        if (((((i1.outer + min((((l - 8)/8) + 1), ((((l + 7)/8) - 1) + 1)))*8) + i1.inner) < l)) {
          if (((((i1.outer + min((((l - 8)/8) + 1), ((((l + 7)/8) - 1) + 1)))*8) + i1.inner) < l)) {
            compute[((((i1.outer + min((((l - 8)/8) + 1), ((((l + 7)/8) - 1) + 1)))*8) + (i0*l)) + i1.inner)] = floor(A[((((i1.outer + min((((l - 8)/8) + 1), ((((l + 7)/8) - 1) + 1)))*8) + (i0*l)) + i1.inner)])
          }
        }
      }
    }
  }
}

Notice that the only difference between the above two outputs is the in the min expression.

That difference is expected as described in #3733 , this PR tries to add one extent into the mid_stmt and decrease one extent from the post_stmt.

On the TVM master branch it is the following:

min((((l - 8)/8) + 1), (((l + 7)/8) - 1))

If I plug in l=3 then it becomes min( 3/8, 2/8) = 2/8 which I expect to become 0 with floor divison.

On the other side with the changes of this PR is, it is following:

min((((l - 8)/8) + 1), ((((l + 7)/8) - 1) + 1))

Plugging the value l=3 it comes min(3/8, 10/8) = 3/8 which also I expect to become 0 and then, both the output HalideIR should result in similar results.

Despite this, the test case fails with following error after the MakeAPI and in the codegen for arm-cpu.

*** Error in `python3': corrupted double-linked list: 0x0000000002e7dac0 ***

umangyadav · 2019-08-13T18:21:18Z

topi/tests/python/test_topi_math.py

@@ -68,8 +68,7 @@ def check_device(device):
            foo(a, b)
            tvm.testing.assert_allclose(b.asnumpy(), b_np, rtol=1e-5, atol=1e-5)

-        for device in get_all_backend():
-            check_device(device)
+        check_device('llvm -device=arm-cpu')


@tqchen @cowanmeg @ZihengJiang

If you get time can you please check on this issue as detailed below? thanks.

CI was failing for this PR, on test_topi_math.py.

However, as I understand and as I've put in the comment earlier, it shouldn't fail as this PR is not changing anything functionally.

I've attached the stack trace below.

During the debugging I found similar error happening on the PyTorch because of deconstructors called inappropriately pytorch/pytorch#5400 .

It seems to me this error also has something to do with deconstructor as I noticed errors happening after a call to TVMFuncFree or TVMArrayFree.

I experimented a bit and found that when I run each backed individually on test_topi_math.py ,
it all works without any errors, however, when I run all of them together it fails with following types of errors.

*** Error in `python3': corrupted double-linked list: 0x000000000220a1e0 *** ======= Backtrace: ========= /lib/x86_64-linux-gnu/libc.so.6(+0x777e5)[0x7fb3d99de7e5] /lib/x86_64-linux-gnu/libc.so.6(+0x80baf)[0x7fb3d99e7baf] /lib/x86_64-linux-gnu/libc.so.6(cfree+0x4c)[0x7fb3d99eb53c] /usr/lib/llvm-6.0/lib/libLLVM-6.0.so.1(_ZN4llvm10BasicBlockD2Ev+0x74)[0x7fb395b56bb4] /usr/lib/llvm-6.0/lib/libLLVM-6.0.so.1(_ZN4llvm10BasicBlock15eraseFromParentEv+0x64)[0x7fb395b576b4] /usr/lib/llvm-6.0/lib/libLLVM-6.0.so.1(_ZN4llvm8Function17dropAllReferencesEv+0x85)[0x7fb395bc67c5] /usr/lib/llvm-6.0/lib/libLLVM-6.0.so.1(_ZN4llvm6Module17dropAllReferencesEv+0x30)[0x7fb395c114a0] /usr/lib/llvm-6.0/lib/libLLVM-6.0.so.1(_ZN4llvm6ModuleD1Ev+0x28)[0x7fb395c11668] /usr/lib/llvm-6.0/lib/libLLVM-6.0.so.1(_ZN4llvm5MCJITD1Ev+0x4b0)[0x7fb396c5bdc0] /usr/lib/llvm-6.0/lib/libLLVM-6.0.so.1(_ZN4llvm5MCJITD0Ev+0x9)[0x7fb396c5c159] /home/u00472384/repos/tvm-umang/build/libtvm.so(_ZNSt19_Sp_counted_deleterIPN3tvm7codegen14LLVMModuleNodeENSt12__shared_ptrIS2_LN9__gnu_cxx12_Lock_policyE2EE8_DeleterISaIS2_EEES9_LS6_2EE10_M_disposeEv+0x71)[0x7fb399885021] /home/u00472384/repos/tvm-umang/build/libtvm.so(+0xba7343)[0x7fb3998af343] /home/u00472384/repos/tvm-umang/build/libtvm.so(TVMFuncFree+0x1c)[0x7fb3998956cc] /home/u00472384/repos/tvm-umang/python/tvm/_ffi/_cy3/core.cpython-35m-x86_64-linux-gnu.so(+0xe6a9)[0x7fb3942926a9] python3[0x58170a] python3[0x581a52] python3[0x4e96b7] python3[0x54020f] python3(PyEval_EvalFrameEx+0x5513)[0x53bc93] python3[0x5401ef] python3(PyEval_EvalFrameEx+0x50bf)[0x53b83f] python3(PyEval_EvalFrameEx+0x4b14)[0x53b294] python3[0x53fc97] python3(PyEval_EvalCode+0x1f)[0x5409bf] python3[0x60cb42] python3(PyRun_FileExFlags+0x9a)[0x60efea] python3(PyRun_SimpleFileExFlags+0x1bc)[0x60f7dc] python3(Py_Main+0x456)[0x640256] python3(main+0xe1)[0x4d0001] /lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xf0)[0x7fb3d9987830] python3(_start+0x29)[0x5d6999] ======= Memory map: ======== 00400000-007aa000 r-xp 00000000 103:02 1177926 /usr/bin/python3.5 009a9000-009ab000 r--p 003a9000 103:02 1177926 /usr/bin/python3.5 009ab000-00a42000 rw-p 003ab000 103:02 1177926 /usr/bin/python3.5 00a42000-00a73000 rw-p 00000000 00:00 0 00afd000-02431000 rw-p 00000000 00:00 0 [heap] 7fb340000000-7fb340021000 rw-p 00000000 00:00 0 7fb340021000-7fb344000000 ---p 00000000 00:00 0 7fb348000000-7fb348021000 rw-p 00000000 00:00 0 7fb348021000-7fb34c000000 ---p 00000000 00:00 0 7fb34c000000-7fb34c021000 rw-p 00000000 00:00 0 7fb34c021000-7fb350000000 ---p 00000000 00:00 0 7fb350000000-7fb350021000 rw-p 00000000 00:00 0 7fb350021000-7fb354000000 ---p 00000000 00:00 0 7fb358000000-7fb358021000 rw-p 00000000 00:00 0 7fb358021000-7fb35c000000 ---p 00000000 00:00 0 7fb360000000-7fb360021000 rw-p 00000000 00:00 0 7fb360021000-7fb364000000 ---p 00000000 00:00 0 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/usr/local/lib/python3.5/dist-packages/pandas/_libs/skiplist.cpython-35m-x86_64-linux-gnu.so 7fb38c330000-7fb38c3d5000 r-xp 00000000 103:02 1981474 /usr/local/lib/python3.5/dist-packages/pandas/_libs/window.cpython-35m-x86_64-linux-gnu.so 7fb38c3d5000-7fb38c5d5000 ---p 000a5000 103:02 1981474 /usr/local/lib/python3.5/dist-packages/pandas/_libs/window.cpython-35m-x86_64-linux-gnu.so 7fb38c5d5000-7fb38c5dd000 rw-p 000a5000 103:02 1981474 /usr/local/lib/python3.5/dist-packages/pandas/_libs/window.cpython-35m-x86_64-linux-gnu.so 7fb38c5dd000-7fb38c65e000 rw-p 00000000 00:00 0 7fb38c65e000-7fb38c68c000 r-xp 00000000 103:02 1351915 /usr/local/lib/python3.5/dist-packages/matplotlib/_path.cpython-35m-x86_64-linux-gnu.so 7fb38c68c000-7fb38c88b000 ---p 0002e000 103:02 1351915 /usr/local/lib/python3.5/dist-packages/matplotlib/_path.cpython-35m-x86_64-linux-gnu.so 7fb38c88b000-7fb38c88d000 rw-p 0002d000 103:02 1351915 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7fb38cf1c000-7fb38cf1e000 rw-p 00008000 103:02 1179398 /usr/lib/python3.5/lib-dynload/_csv.cpython-35m-x86_64-linux-gnu.so 7fb38cf1e000-7fb38cf5e000 rw-p 00000000 00:00 0 7fb38cf5e000-7fb38d042000 r-xp 00000000 103:02 1981464 /usr/local/lib/python3.5/dist-packages/pandas/_libs/sparse.cpython-35m-x86_64-linux-gnu.so 7fb38d042000-7fb38d242000 ---p 000e4000 103:02 1981464 /usr/local/lib/python3.5/dist-packages/pandas/_libs/sparse.cpython-35m-x86_64-linux-gnu.so 7fb38d242000-7fb38d247000 rw-p 000e4000 103:02 1981464 /usr/local/lib/python3.5/dist-packages/pandas/_libs/sparse.cpython-35m-x86_64-linux-gnu.so 7fb38d247000-7fb38d248000 rw-p 00000000 00:00 0 7fb38d248000-7fb38d286000 r-xp 00000000 103:02 1981485 /usr/local/lib/python3.5/dist-packages/pandas/_libs/internals.cpython-35m-x86_64-linux-gnu.so 7fb38d286000-7fb38d485000 ---p 0003e000 103:02 1981485 /usr/local/lib/python3.5/dist-packages/pandas/_libs/internals.cpython-35m-x86_64-linux-gnu.so 7fb38d485000-7fb38d48a000 rw-p 0003d000 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/usr/local/lib/python3.5/dist-packages/pandas/_libs/interval.cpython-35m-x86_64-linux-gnu.so 7fb38dc28000-7fb38dceb000 rw-p 00000000 00:00 0 7fb38dceb000-7fb38dd02000 r-xp 00000000 103:02 1981480 /usr/local/lib/python3.5/dist-packages/pandas/_libs/ops.cpython-35m-x86_64-linux-gnu.so 7fb38dd02000-7fb38df01000 ---p 00017000 103:02 1981480 /usr/local/lib/python3.5/dist-packages/pandas/_libs/ops.cpython-35m-x86_64-linux-gnu.so 7fb38df01000-7fb38df04000 rw-p 00016000 103:02 1981480 /usr/local/lib/python3.5/dist-packages/pandas/_libs/ops.cpython-35m-x86_64-linux-gnu.so 7fb38df04000-7fb38e110000 r-xp 00000000 103:02 1981479 /usr/local/lib/python3.5/dist-packages/pandas/_libs/join.cpython-35m-x86_64-linux-gnu.so 7fb38e110000-7fb38e310000 ---p 0020c000 103:02 1981479 /usr/local/lib/python3.5/dist-packages/pandas/_libs/join.cpython-35m-x86_64-linux-gnu.so 7fb38e310000-7fb38e319000 rw-p 0020c000 103:02 1981479 /usr/local/lib/python3.5/dist-packages/pandas/_libs/join.cpython-35m-x86_64-linux-gnu.so 7fb38e319000-7fb38e35b000 rw-p 00000000 00:00 0 7fb38e35b000-7fb38e3b2000 r-xp 00000000 103:02 1981497 /usr/local/lib/python3.5/dist-packages/pandas/_libs/tslibs/offsets.cpython-35m-x86_64-linux-gnu.so 7fb38e3b2000-7fb38e5b2000 ---p 00057000 103:02 1981497 /usr/local/lib/python3.5/dist-packages/pandas/_libs/tslibs/offsets.cpython-35m-x86_64-linux-gnu.so 7fb38e5b2000-7fb38e5ba000 rw-p 00057000 103:02 1981497 /usr/local/lib/python3.5/dist-packages/pandas/_libs/tslibs/offsets.cpython-35m-x86_64-linux-gnu.so 7fb38e5ba000-7fb38e5fb000 rw-p 00000000 00:00 0 7fb38e5fb000-7fb38e63d000 r-xp 00000000 103:02 1981499 /usr/local/lib/python3.5/dist-packages/pandas/_libs/tslibs/resolution.cpython-35m-x86_64-linux-gnu.so 7fb38e63d000-7fb38e83d000 ---p 00042000 103:02 1981499 /usr/local/lib/python3.5/dist-packages/pandas/_libs/tslibs/resolution.cpython-35m-x86_64-linux-gnu.so 7fb38e83d000-7fb38e842000 rw-p 00042000 103:02 1981499 /usr/local/lib/python3.5/dist-packages/pandas/_libs/tslibs/resolution.cpython-35m-x86_64-linux-gnu.so 7fb38e842000-7fb38e843000 rw-p 00000000 00:00 0 7fb38e843000-7fb38e861000 r-xp 00000000 103:02 1981489 /usr/local/lib/python3.5/dist-packages/pandas/_libs/tslibs/frequencies.cpython-35m-x86_64-linux-gnu.so 7fb38e861000-7fb38ea61000 ---p 0001e000 103:02 1981489 /usr/local/lib/python3.5/dist-packages/pandas/_libs/tslibs/frequencies.cpython-35m-x86_64-linux-gnu.so 7fb38ea61000-7fb38ea64000 rw-p 0001e000 103:02 1981489 /usr/local/lib/python3.5/dist-packages/pandas/_libs/tslibs/frequencies.cpython-35m-x86_64-linux-gnu.soAborted (core dumped)

umangyadav · 2019-09-16T11:58:43Z

ping @tqchen @ZihengJiang

tqchen · 2019-09-16T17:08:40Z

@yzhliu @anijain2305 can you also help to take a look? @umangyadav would be great if you can help dig deeper into the CI issue so we do not have to change the topi math

umangyadav · 2019-09-25T17:56:56Z

@ZihengJiang @tqchen

I tried looking at the error again. However, I don't completely understand how the backend codegen works in the TVM. And was not able to get down to any concrete reason. I may try looking later again.

That said, i believe issue #3733 is legit in my opinion and would be good to fix.

ZihengJiang · 2019-09-26T19:19:58Z

One thing I noticed is that it also made change for the indexing expression of A: floor(A[((((i1.outer + min((((l - 8)/8) + 1), ((((l + 7)/8) - 1) + 1)))*8) + (i0*l)) + i1.inner)]). Not sure whether here cause unexpected memory access. The sematic should be same. @umangyadav

umangyadav · 2019-09-26T19:59:42Z

@ZihengJiang I am less certain about the unexpected memory access.

The strange thing I find is that all the tests pass when run on each backend individually.

It is only when all the backends are tested together, that is when the failure happens. so, I am not suspecting the unexpected memory access to be the reason.

In the test_topi_math.py, there three tests:

if __name__ == "__main__":
    test_util()
    test_ewise()
    test_cast()

test_util() and test_cast() both are all okay and passes.

test_ewise has two main tests inside it: test_apply and test_isnan. On the develop branch both these tests being tested on all the backends by following:

for device in get_all_backend():
            check_device(device)

For my PR changes, if I change the above lines to test only on ANY of the one individual backends for both the test_apply and test_isnan, it passes.

        check_device('llvm -device=arm-cpu')

It is only when it is called through get_all_backend() that it fails.

So, if there was any unexpected memory access, it should have caused failure even when backed is tested individually.

umangyadav · 2019-09-26T20:48:21Z

@ZihengJiang @tqchen Pushed a new commit where, instead of looping over all backends,
i call each of them individually in the test_topi_math.py. CI should pass with these changes.

umangyadav · 2019-09-26T23:48:38Z

@tqchen @ZihengJiang CI passed for with all the backends tested.

I am not sure why the test would fail if we use the loop for backend. That seems a different issue to me and not related to loop partition changes in this PR. I can open a separate issuse for that one.

Can we merge this PR ?

ZihengJiang · 2019-09-30T12:16:24Z

@umangyadav I have also met some flaky issues with the CI before. Could you try to raise a new mirror PR but with get_all_backend to see whether it still fail?

umangyadav · 2019-09-30T12:36:47Z

@ZihengJiang I am not sure if the issue is due to flaky CI, because, I get the same error locally as well.
But let me create a Mirror PR to be sure.

ZihengJiang · 2019-09-30T17:44:40Z

@umangyadav So the CI still failed with another PR. Is it related to the order of targets? Could you try to align the targets order with here: https://github.com/dmlc/tvm/blob/master/topi/tests/python/common.py#L31

umangyadav · 2019-09-30T18:11:51Z

@ZihengJiang Aligned the order of the targets in the new push.

umangyadav · 2019-09-30T20:22:18Z

@ZihengJiang CI is failing with no space left on the device. I am not sure how to solve that.
Is there a way to clean up some files ?

tqchen · 2019-10-01T00:29:18Z

ci issue is fixed, please retrigger the PR

ZihengJiang · 2019-10-01T20:10:22Z

@umangyadav Could you try this locally:

devices = get_all_backend()
for device in devices:
    check_device(device)

umangyadav · 2019-10-01T20:23:50Z

@umangyadav Could you try this locally:
devices = get_all_backend()
for device in devices:
    check_device(device)

@ZihengJiang I tried locally. But received the same seg_fault errors.

ZihengJiang · 2019-10-01T21:11:55Z

@umangyadav Thanks for the experiments. Could you post an issue for recording this flasy test problem? I'll approve this PR now.

umangyadav · 2019-10-02T12:03:46Z

@umangyadav Thanks for the experiments. Could you post an issue for recording this flasy test problem? I'll approve this PR now.

@ZihengJiang Thanks for the review and approval. I'll open an issue for the flaky test after this PR is merged so that easier to reproduce.

umangyadav · 2019-10-02T18:27:11Z

ping @tqchen Can we merge this PR?

ZihengJiang · 2019-10-02T20:13:51Z

This PR has been merged. Thanks for hardworking @umangyadav

…pache#3734)

* master: (21 commits) [Fix][VM] Fix VM invoke with set_params (apache#4079) [QNN] Refactor fixed point multiplication in requantize (apache#4073) Fix match case in Python-side expr functor (apache#4037) Hide symbols from dependent libraries if HIDE_PRIVATE_SYMBOLS is ON. (apache#4041) Add gradient for log-softmax (apache#4069) [DOC] Fix typos in tutorials (apache#4066) dicrease the complexity of CalcDep from exponential to linear (apache#4053) [Relay][AlterOp] Minor refactor. (apache#4064) [Relay][AlterOp] Improving support for broadcast layout alteration. (apache#4040) Add parses support for zeros_like tflite operator (apache#4042) [Bugfix][TF] reset graph after getting tag of savedmodel (apache#4055) [Relay][VM] Add more passes to VMCompiler (apache#4058) [Relay][VM] Add autotvm context when compile (apache#4062) [Bugfix] Fix target host for vm compiler (apache#4057) [Relay][Training] Add gradient for Crossentropy (apache#3925) [llvm] switch to use Align for llvm trunk (apache#4051) [Relay][TopHub] Add switch to disable TopHub download (apache#4015) [Relay][Op] Add instance norm op (apache#4004) [QNN][Relay] Calling Dialect passes from inside Relay Build API. (apache#3971) [RELAY/PASS] Fix the extent for the post_stmt in the loop partition (apache#3734) ...

umangyadav force-pushed the lp_bug_fix branch 2 times, most recently from cb3c424 to 1eeeeeb Compare August 8, 2019 13:59

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umangyadav force-pushed the lp_bug_fix branch from 1eeeeeb to b3929e2 Compare August 8, 2019 14:36

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tqchen added the status: need review label Sep 16, 2019

ZihengJiang self-assigned this Sep 24, 2019

umangyadav force-pushed the lp_bug_fix branch from 877b0ee to dcfb4cc Compare September 26, 2019 20:15

umangyadav mentioned this pull request Sep 30, 2019

Loop partition fix extent for the post_stmt #4034

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umangyadav force-pushed the lp_bug_fix branch from dcfb4cc to 5d02573 Compare September 30, 2019 18:11

umangyadav force-pushed the lp_bug_fix branch from 5d02573 to 8f23fdf Compare September 30, 2019 18:27

Fix the extent for the post_stmt in the loop partition

0a07737

umangyadav force-pushed the lp_bug_fix branch from 8f23fdf to 0a07737 Compare October 1, 2019 11:56

ZihengJiang approved these changes Oct 1, 2019

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ZihengJiang merged commit a7873b0 into apache:master Oct 2, 2019

umangyadav deleted the lp_bug_fix branch October 3, 2019 16:16

anijain2305 pushed a commit to anijain2305/tvm that referenced this pull request Oct 17, 2019

[RELAY/PASS] Fix the extent for the post_stmt in the loop partition (a…

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…pache#3734)

wweic pushed a commit to neo-ai/tvm that referenced this pull request Oct 18, 2019

[RELAY/PASS] Fix the extent for the post_stmt in the loop partition (a…

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…pache#3734)

kimishpatel mentioned this pull request Nov 1, 2019

Fix broken loop partitioning due to recent changes. #4243

Merged

yzhliu mentioned this pull request Nov 11, 2019

[RELEASE][DRAFT] TVM v0.6 Release candidate #4259

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Fix extent one for the post_stmt in loop partition #3734

Fix extent one for the post_stmt in loop partition #3734

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Fix extent one for the post_stmt in loop partition #3734

Fix extent one for the post_stmt in loop partition #3734

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