Create general PoolingOp and decompose to MaxPool2d #1489
GitHub Actions / MLIR Tests
failed
Nov 5, 2024 in 0s
219 tests run, 208 passed, 7 skipped, 4 failed.
Annotations
Check failure on line 12 in ttmlir/Conversion/StableHLOToTTIR
github-actions / MLIR Tests
ttmlir/Conversion/StableHLOToTTIR.maxpool2d_op.mlir
Exit Code: 1
Raw output
Exit Code: 1
Command Output (stderr):
--
RUN: at line 2: /__w/tt-mlir/tt-mlir/build/bin/ttmlir-opt --stablehlo-to-ttir-pipeline /__w/tt-mlir/tt-mlir/test/ttmlir/Conversion/StableHLOToTTIR/maxpool2d_op.mlir | /opt/ttmlir-toolchain/bin/FileCheck /__w/tt-mlir/tt-mlir/test/ttmlir/Conversion/StableHLOToTTIR/maxpool2d_op.mlir
+ /opt/ttmlir-toolchain/bin/FileCheck /__w/tt-mlir/tt-mlir/test/ttmlir/Conversion/StableHLOToTTIR/maxpool2d_op.mlir
+ /__w/tt-mlir/tt-mlir/build/bin/ttmlir-opt --stablehlo-to-ttir-pipeline /__w/tt-mlir/tt-mlir/test/ttmlir/Conversion/StableHLOToTTIR/maxpool2d_op.mlir
/__w/tt-mlir/tt-mlir/test/ttmlir/Conversion/StableHLOToTTIR/maxpool2d_op.mlir:12:12: error: CHECK: expected string not found in input
// CHECK: %[[C:.*]] = "ttir.max_pool2d"[[C:.*]]
^
<stdin>:5:38: note: scanning from here
%1 = tensor.empty() : tensor<1xbf16>
^
<stdin>:8:2: note: possible intended match here
%4 = "ttir.pooling"(%arg0, %3) <{base_dilations = array<i64: 1, 1, 1, 1>, operandSegmentSizes = array<i32: 1, 1>, operand_constraints = [#any_device_tile, #any_device_tile], padding = array<i64: 0, 0, 1, 1, 1, 1, 0, 0>, pooling_method = #ttir<pooling_method Max>, window_dilations = array<i64: 1, 1, 1, 1>, window_dimensions = array<i64: 1, 3, 3, 1>, window_strides = array<i64: 1, 2, 2, 1>}> : (tensor<1x128x128x32xbf16>, tensor<1x64x64x32xbf16>) -> tensor<1x64x64x32xbf16>
^
Input file: <stdin>
Check file: /__w/tt-mlir/tt-mlir/test/ttmlir/Conversion/StableHLOToTTIR/maxpool2d_op.mlir
-dump-input=help explains the following input dump.
Input was:
<<<<<<
1: #any_device_tile = #tt.operand_constraint<dram|l1|tile|none|interleaved|single_bank|height_sharded|width_sharded|block_sharded|any_layout|any_device_tile>
2: module {
3: func.func public @test_maxpool2d(%arg0: tensor<1x128x128x32xbf16>) -> tensor<1x64x64x32xbf16> {
4: %0 = "ttir.constant"() <{value = dense<0xFF80> : tensor<1xbf16>}> : () -> tensor<1xbf16>
5: %1 = tensor.empty() : tensor<1xbf16>
check:12'0 X error: no match found
6: %2 = "ttir.broadcast"(%0, %1) <{dimension = [], operand_constraints = [#any_device_tile, #any_device_tile]}> : (tensor<1xbf16>, tensor<1xbf16>) -> tensor<1xbf16>
check:12'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
7: %3 = tensor.empty() : tensor<1x64x64x32xbf16>
check:12'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
8: %4 = "ttir.pooling"(%arg0, %3) <{base_dilations = array<i64: 1, 1, 1, 1>, operandSegmentSizes = array<i32: 1, 1>, operand_constraints = [#any_device_tile, #any_device_tile], padding = array<i64: 0, 0, 1, 1, 1, 1, 0, 0>, pooling_method = #ttir<pooling_method Max>, window_dilations = array<i64: 1, 1, 1, 1>, window_dimensions = array<i64: 1, 3, 3, 1>, window_strides = array<i64: 1, 2, 2, 1>}> : (tensor<1x128x128x32xbf16>, tensor<1x64x64x32xbf16>) -> tensor<1x64x64x32xbf16>
check:12'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
check:12'1 ? possible intended match
9: return %4 : tensor<1x64x64x32xbf16>
check:12'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
10: }
check:12'0 ~~~
11: }
check:12'0 ~~
12:
check:12'0 ~
>>>>>>
--
Check failure on line 24 in ttmlir/Dialect/TTNN
github-actions / MLIR Tests
ttmlir/Dialect/TTNN.simple_constant.mlir
Exit Code: 1
Raw output
Exit Code: 1
Command Output (stderr):
--
RUN: at line 1: /__w/tt-mlir/tt-mlir/build/bin/ttmlir-opt --ttir-to-ttnn-backend-pipeline /__w/tt-mlir/tt-mlir/test/ttmlir/Dialect/TTNN/simple_constant.mlir | /opt/ttmlir-toolchain/bin/FileCheck /__w/tt-mlir/tt-mlir/test/ttmlir/Dialect/TTNN/simple_constant.mlir
+ /opt/ttmlir-toolchain/bin/FileCheck /__w/tt-mlir/tt-mlir/test/ttmlir/Dialect/TTNN/simple_constant.mlir
+ /__w/tt-mlir/tt-mlir/build/bin/ttmlir-opt --ttir-to-ttnn-backend-pipeline /__w/tt-mlir/tt-mlir/test/ttmlir/Dialect/TTNN/simple_constant.mlir
/__w/tt-mlir/tt-mlir/test/ttmlir/Dialect/TTNN/simple_constant.mlir:24:12: error: CHECK: expected string not found in input
// CHECK: %[[C:.*]] = "ttnn.full"[[C:.*]]
^
<stdin>:19:112: note: scanning from here
%1 = "ttnn.full"(%0) <{fillValue = 1.000000e+00 : f32}> : (!tt.device<#device>) -> tensor<64x128xi32, #layout>
^
<stdin>:24:2: note: possible intended match here
%1 = "ttnn.empty"() <{dtype = #tt.supportedDataTypes<f32>, layout = #ttnn.layout<row_major>, shape = #ttnn.shape<64x128>}> : () -> tensor<64x128xf32, #layout1>
^
Input file: <stdin>
Check file: /__w/tt-mlir/tt-mlir/test/ttmlir/Dialect/TTNN/simple_constant.mlir
-dump-input=help explains the following input dump.
Input was:
<<<<<<
.
.
.
14: %1 = "ttnn.empty"() <{dtype = #tt.supportedDataTypes<f32>, layout = #ttnn.layout<row_major>, shape = #ttnn.shape<64x128>}> : () -> tensor<64x128xf32, #layout1>
15: return %1 : tensor<64x128xf32, #layout1>
16: }
17: func.func @test_full_int() -> tensor<64x128xi32, #layout> {
18: %0 = "ttnn.get_device"() <{mesh_shape = #ttnn<mesh_shape 1x1>}> : () -> !tt.device<#device>
19: %1 = "ttnn.full"(%0) <{fillValue = 1.000000e+00 : f32}> : (!tt.device<#device>) -> tensor<64x128xi32, #layout>
check:24'0 X error: no match found
20: return %1 : tensor<64x128xi32, #layout>
check:24'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
21: }
check:24'0 ~~~
22: func.func @test_full_float() -> tensor<64x128xf32, #layout1> {
check:24'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
23: %0 = "ttnn.get_device"() <{mesh_shape = #ttnn<mesh_shape 1x1>}> : () -> !tt.device<#device>
check:24'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
24: %1 = "ttnn.empty"() <{dtype = #tt.supportedDataTypes<f32>, layout = #ttnn.layout<row_major>, shape = #ttnn.shape<64x128>}> : () -> tensor<64x128xf32, #layout1>
check:24'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
check:24'1 ? possible intended match
25: return %1 : tensor<64x128xf32, #layout1>
check:24'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
26: }
check:24'0 ~~~
27: }
check:24'0 ~~
28:
check:24'0 ~
>>>>>>
--
Check failure on line 1 in ttmlir/Silicon/TTNN/pooling
github-actions / MLIR Tests
ttmlir/Silicon/TTNN/pooling.simple_pooling.mlir
Exit Code: 2
Raw output
Exit Code: 2
Command Output (stderr):
--
RUN: at line 1: /__w/tt-mlir/tt-mlir/build/bin/ttmlir-opt --ttir-to-ttnn-backend-pipeline="system-desc-path=" /__w/tt-mlir/tt-mlir/test/ttmlir/Silicon/TTNN/pooling/simple_pooling.mlir > /__w/tt-mlir/tt-mlir/build/test/ttmlir/Silicon/TTNN/pooling/Output/simple_pooling.mlir.tmp.mlir
+ /__w/tt-mlir/tt-mlir/build/bin/ttmlir-opt --ttir-to-ttnn-backend-pipeline=system-desc-path= /__w/tt-mlir/tt-mlir/test/ttmlir/Silicon/TTNN/pooling/simple_pooling.mlir
RUN: at line 2: /opt/ttmlir-toolchain/bin/FileCheck /__w/tt-mlir/tt-mlir/test/ttmlir/Silicon/TTNN/pooling/simple_pooling.mlir --input-file=/__w/tt-mlir/tt-mlir/build/test/ttmlir/Silicon/TTNN/pooling/Output/simple_pooling.mlir.tmp.mlir
+ /opt/ttmlir-toolchain/bin/FileCheck /__w/tt-mlir/tt-mlir/test/ttmlir/Silicon/TTNN/pooling/simple_pooling.mlir --input-file=/__w/tt-mlir/tt-mlir/build/test/ttmlir/Silicon/TTNN/pooling/Output/simple_pooling.mlir.tmp.mlir
error: no check strings found with prefix 'CHECK:'
--
Check failure on line 30 in ttmlir/Silicon/TTNN
github-actions / MLIR Tests
ttmlir/Silicon/TTNN.simple_constant.mlir
Exit Code: 1
Raw output
Exit Code: 1
Command Output (stderr):
--
RUN: at line 1: /__w/tt-mlir/tt-mlir/build/bin/ttmlir-opt --ttir-to-ttnn-backend-pipeline="system-desc-path=" /__w/tt-mlir/tt-mlir/test/ttmlir/Silicon/TTNN/simple_constant.mlir > /__w/tt-mlir/tt-mlir/build/test/ttmlir/Silicon/TTNN/Output/simple_constant.mlir.tmp.mlir
+ /__w/tt-mlir/tt-mlir/build/bin/ttmlir-opt --ttir-to-ttnn-backend-pipeline=system-desc-path= /__w/tt-mlir/tt-mlir/test/ttmlir/Silicon/TTNN/simple_constant.mlir
RUN: at line 2: /opt/ttmlir-toolchain/bin/FileCheck /__w/tt-mlir/tt-mlir/test/ttmlir/Silicon/TTNN/simple_constant.mlir --input-file=/__w/tt-mlir/tt-mlir/build/test/ttmlir/Silicon/TTNN/Output/simple_constant.mlir.tmp.mlir
+ /opt/ttmlir-toolchain/bin/FileCheck /__w/tt-mlir/tt-mlir/test/ttmlir/Silicon/TTNN/simple_constant.mlir --input-file=/__w/tt-mlir/tt-mlir/build/test/ttmlir/Silicon/TTNN/Output/simple_constant.mlir.tmp.mlir
/__w/tt-mlir/tt-mlir/test/ttmlir/Silicon/TTNN/simple_constant.mlir:32:12: error: CHECK: expected string not found in input
// CHECK: %[[C:.*]] = "ttnn.full"[[C:.*]]
^
/__w/tt-mlir/tt-mlir/build/test/ttmlir/Silicon/TTNN/Output/simple_constant.mlir.tmp.mlir:25:112: note: scanning from here
%1 = "ttnn.full"(%0) <{fillValue = 1.000000e+00 : f32}> : (!tt.device<#device>) -> tensor<64x128xi32, #layout>
^
/__w/tt-mlir/tt-mlir/build/test/ttmlir/Silicon/TTNN/Output/simple_constant.mlir.tmp.mlir:30:2: note: possible intended match here
%1 = "ttnn.empty"() <{dtype = #tt.supportedDataTypes<f32>, layout = #ttnn.layout<row_major>, shape = #ttnn.shape<64x128>}> : () -> tensor<64x128xf32, #layout1>
^
Input file: /__w/tt-mlir/tt-mlir/build/test/ttmlir/Silicon/TTNN/Output/simple_constant.mlir.tmp.mlir
Check file: /__w/tt-mlir/tt-mlir/test/ttmlir/Silicon/TTNN/simple_constant.mlir
-dump-input=help explains the following input dump.
Input was:
<<<<<<
.
.
.
20: %1 = "ttnn.empty"() <{dtype = #tt.supportedDataTypes<f32>, layout = #ttnn.layout<row_major>, shape = #ttnn.shape<1x1>}> : () -> tensor<1x1xf32, #layout2>
21: return %1 : tensor<1x1xf32, #layout2>
22: }
23: func.func @test_full_int() -> tensor<64x128xi32, #layout> {
24: %0 = "ttnn.get_device"() <{mesh_shape = #ttnn<mesh_shape 1x1>}> : () -> !tt.device<#device>
25: %1 = "ttnn.full"(%0) <{fillValue = 1.000000e+00 : f32}> : (!tt.device<#device>) -> tensor<64x128xi32, #layout>
check:32'0 X error: no match found
26: return %1 : tensor<64x128xi32, #layout>
check:32'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
27: }
check:32'0 ~~~
28: func.func @test_full_float() -> tensor<64x128xf32, #layout1> {
check:32'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
29: %0 = "ttnn.get_device"() <{mesh_shape = #ttnn<mesh_shape 1x1>}> : () -> !tt.device<#device>
check:32'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
30: %1 = "ttnn.empty"() <{dtype = #tt.supportedDataTypes<f32>, layout = #ttnn.layout<row_major>, shape = #ttnn.shape<64x128>}> : () -> tensor<64x128xf32, #layout1>
check:32'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
check:32'1 ? possible intended match
31: return %1 : tensor<64x128xf32, #layout1>
check:32'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
32: }
check:32'0 ~~~
33: func.func @test_full_scalar() -> tensor<1x1xf32, #layout2> {
check:32'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
34: %0 = "ttnn.get_device"() <{mesh_shape = #ttnn<mesh_shape 1x1>}> : () -> !tt.device<#device>
check:32'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
35: %1 = "ttnn.empty"() <{dtype = #tt.supportedDataTypes<f32>, layout = #ttnn.layout<row_major>, shape = #ttnn.shape<1x1>}> : () -> tensor<1x1xf32, #layout2>
check:32'0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.
.
.
>>>>>>
--
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