zhanghb97
commented
4 months ago Convolution test failed:
$ ninja check-buddy
[0/2] Checking the buddy-mlir examples...
Testing Time: 0.59s
Total Discovered Tests: 91
Passed: 91 (100.00%)
[1/2] Running the buddy regression tests...
FAIL: BUDDY :: Python/test_convolution_default.py (73 of 73)
******************** TEST 'BUDDY :: Python/test_convolution_default.py' FAILED ********************
Exit Code: 1
Command Output (stderr):
--
RUN: at line 1: /home/zhanghongbin/miniconda3/envs/zhb-buddy/bin/python3 /home/zhanghongbin/buddy-mlir/tests/Python/test_convolution_default.py 2>&1 | /home/zhanghongbin/buddy-mlir/llvm/build/bin/FileCheck /home/zhanghongbin/buddy-mlir/tests/Python/test_convolution_default.py
+ /home/zhanghongbin/buddy-mlir/llvm/build/bin/FileCheck /home/zhanghongbin/buddy-mlir/tests/Python/test_convolution_default.py
+ /home/zhanghongbin/miniconda3/envs/zhb-buddy/bin/python3 /home/zhanghongbin/buddy-mlir/tests/Python/test_convolution_default.py
/home/zhanghongbin/buddy-mlir/tests/Python/test_convolution_default.py:38:10: error: CHECK: expected string not found in input
# CHECK: %{{.*}} = tosa.conv2d
^
<stdin>:10:21: note: scanning from here
%4 = tosa.transpose %arg0, %3 : (tensor<3x1x5x5xf32>, tensor<4xi32>) -> tensor<5x5x3x1xf32>
^
<stdin>:12:2: note: possible intended match here
%6 = "tosa.const"() <{value = dense<[0, 3, 1, 2]> : tensor<4xi32>}> : () -> tensor<4xi32>
^
Input file: <stdin>
Check file: /home/zhanghongbin/buddy-mlir/tests/Python/test_convolution_default.py
-dump-input=help explains the following input dump.
Input was:
<<<<<<
.
.
.
5: func.func @forward(%arg0: tensor<3x1x5x5xf32>, %arg1: tensor<1x3x640x480xf32>) -> (tensor<1x3x214x161xf32>, tensor<3x1x5x5xf32>, tensor<1x3x640x480xf32>) {
6: %0 = "tosa.const"() <{value = dense<0.000000e+00> : tensor<3xf32>}> : () -> tensor<3xf32>
7: %1 = "tosa.const"() <{value = dense<[0, 2, 3, 1]> : tensor<4xi32>}> : () -> tensor<4xi32>
8: %2 = tosa.transpose %arg1, %1 : (tensor<1x3x640x480xf32>, tensor<4xi32>) -> tensor<1x640x480x3xf32>
9: %3 = "tosa.const"() <{value = dense<[2, 3, 0, 1]> : tensor<4xi32>}> : () -> tensor<4xi32>
10: %4 = tosa.transpose %arg0, %3 : (tensor<3x1x5x5xf32>, tensor<4xi32>) -> tensor<5x5x3x1xf32>
check:38'0 X~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ error: no match found
11: %5 = tosa.depthwise_conv2d %2, %4, %0 {dilation = array<i64: 1, 1>, pad = array<i64: 3, 3, 3, 3>, stride = array<i64: 3, 3>} : (tensor<1x640x480x3xf32>, tensor<5x5x3x1xf32>, tensor<3xf32>) -> tensor<1x214x161x3xf32>
check:38'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12: %6 = "tosa.const"() <{value = dense<[0, 3, 1, 2]> : tensor<4xi32>}> : () -> tensor<4xi32>
check:38'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
check:38'1 ? possible intended match
13: %7 = tosa.transpose %5, %6 : (tensor<1x214x161x3xf32>, tensor<4xi32>) -> tensor<1x3x214x161xf32>
check:38'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
14: return %7, %arg0, %arg1 : tensor<1x3x214x161xf32>, tensor<3x1x5x5xf32>, tensor<1x3x640x480xf32>
check:38'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
15: }
check:38'0 ~~~
16: }
check:38'0 ~~
17:
check:38'0 ~
>>>>>>
--
********************
********************
Failed Tests (1):
BUDDY :: Python/test_convolution_default.py
Testing Time: 5.84s
Total Discovered Tests: 73
Passed: 72 (98.63%)
Failed: 1 (1.37%)
FAILED: tests/CMakeFiles/check-tests /home/zhanghongbin/buddy-mlir/build-llama/tests/CMakeFiles/check-tests
cd /home/zhanghongbin/buddy-mlir/build-llama/tests && /home/zhanghongbin/miniconda3/envs/zhb-buddy/bin/python3 /home/zhanghongbin/buddy-mlir/llvm/build/./bin/llvm-lit -sv /home/zhanghongbin/buddy-mlir/build-llama/tests
ninja: build stopped: subcommand failed.
Solve the problem that Conv2d can not adapt to Lenet