derek.holloway
7502bf64a4
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56 lines
3.2 KiB
MLIR
56 lines
3.2 KiB
MLIR
// RUN: mlir-opt %s --split-input-file --tosa-to-linalg-pipeline -verify-diagnostics | FileCheck %s
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// -----
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// check that -tosa-validate level checking kick in
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func.func @tensor_with_unknown_rank(%arg0: tensor<*xi32>) -> tensor<*xi32> {
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// expected-error@+1 {{'tosa.abs' op failed level check: unranked tensor}}
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%0 = "tosa.abs"(%arg0) : (tensor<*xi32>) -> tensor<*xi32>
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return %0 : tensor<*xi32>
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}
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// -----
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// check that tosa verify kick in
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func.func @test_avg_pool2d_zero_dim_input(%arg0: tensor<1x0x?x9xf32>, %arg1: tensor<1xf32>, %arg2: tensor<1xf32>) -> tensor<1x7x7x9xf32> {
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// expected-error@+1 {{'tosa.avg_pool2d' op operand #0 must be 4-d tosa-conformant tensor, but got 'tensor<1x0x?x9xf32>'}}
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%0 = "tosa.avg_pool2d"(%arg0, %arg1, %arg2) {acc_type = f32, kernel = array<i64: 2, 2>, pad = array<i64: 0, 1, 0, 1>, stride = array<i64: 1, 1>}
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: (tensor<1x0x?x9xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1x7x7x9xf32>
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return %0 : tensor<1x7x7x9xf32>
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}
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// -----
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// check that --tosa-to-linalg kick in
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func.func @avg_pool2d_with_unsupported_quant_type(%arg0: tensor<1x7x7x9x!quant.uniform<i8:f32, 0.01>>, %arg1: tensor<1xi8>, %arg2: tensor<1xi8>) -> tensor<1x7x7x9x!quant.uniform<i8:f32, 0.01>> {
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// expected-error@+1 {{failed to legalize operation 'tosa.avg_pool2d'}}
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%0 = "tosa.avg_pool2d"(%arg0, %arg1, %arg2) {acc_type = i32, kernel = array<i64: 2, 2>, pad = array<i64: 0, 1, 0, 1>, stride = array<i64: 1, 1>} : (tensor<1x7x7x9x!quant.uniform<i8:f32, 0.01>>, tensor<1xi8>, tensor<1xi8>) -> tensor<1x7x7x9x!quant.uniform<i8:f32, 0.01>>
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return %0 : tensor<1x7x7x9x!quant.uniform<i8:f32, 0.01>>
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}
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// -----
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// CHECK-LABEL: rescale_doubleround
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func.func @rescale_doubleround(%arg0: tensor<8x9x7x14xi32>) -> tensor<8x9x7x14xi8> {
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%0 = "tosa.const"() <{values = dense<0> : tensor<14xi32>}> : () -> tensor<14xi32>
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%1 = "tosa.const"() <{values = dense<0> : tensor<14xi8>}> : () -> tensor<14xi8>
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%2 = "tosa.const"() <{values = dense<0> : tensor<1xi32>}> : () -> tensor<1xi32>
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%3 = "tosa.const"() <{values = dense<-5> : tensor<1xi8>}> : () -> tensor<1xi8>
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// CHECK: tosa.apply_scale
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%4 = tosa.rescale %arg0, %0, %1, %2, %3 {input_unsigned = false, output_unsigned = false, per_channel = true, rounding_mode = DOUBLE_ROUND, scale32 = true} : (tensor<8x9x7x14xi32>, tensor<14xi32>, tensor<14xi8>, tensor<1xi32>, tensor<1xi8>) -> tensor<8x9x7x14xi8>
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return %4 : tensor<8x9x7x14xi8>
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}
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// -----
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func.func @rescale_inexactround(%arg0: tensor<8x9x7x14xi32>) -> tensor<8x9x7x14xi8> {
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%0 = "tosa.const"() <{values = dense<0> : tensor<14xi32>}> : () -> tensor<14xi32>
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%1 = "tosa.const"() <{values = dense<0> : tensor<14xi8>}> : () -> tensor<14xi8>
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%2 = "tosa.const"() <{values = dense<0> : tensor<1xi32>}> : () -> tensor<1xi32>
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%3 = "tosa.const"() <{values = dense<-5> : tensor<1xi8>}> : () -> tensor<1xi8>
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// expected-error@+1 {{'tosa.rescale' op failed attribute check: rounding_mode = INEXACT_ROUND requires extension [inexactround]}}
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%4 = tosa.rescale %arg0, %0, %1, %2, %3 {input_unsigned = false, output_unsigned = false, per_channel = true, rounding_mode = INEXACT_ROUND, scale32 = true} : (tensor<8x9x7x14xi32>, tensor<14xi32>, tensor<14xi8>, tensor<1xi32>, tensor<1xi8>) -> tensor<8x9x7x14xi8>
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return %4 : tensor<8x9x7x14xi8>
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}
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