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stablehlo/testdata/bn_conv_fuse_float32.large.mlir

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@@ -16,18 +16,18 @@ module @jit_main attributes {torch.debug_module_name = "ResNet"} {
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// Slicing the input to reduce CPU cycles spend in interpreter.
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// Extracting a center of size 112x112 from an input of size 224x224.
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//
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// The adjustments of +4 for the height and +3 for the width are necessary
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// The adjustments of +4 for the height and +3 for the width are necessary
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// to account for the convolution configuration with [2, 2] stride and [3, 3] padding.
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//
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// 224 224
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// 224
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// ______________________________________
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// | +4
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// | ____
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// | | X X X
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// | +4 |
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// | | X X X 112
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// | | _______________
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// | X X |X X X ... X|
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// | +4
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// | ____
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// | | X X X
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// | +4 |
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// | | X X X 112
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// | | _______________
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// | X X |X X X ... X|
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// 224 | | |
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// | |X X X ... X|
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// | | |
@@ -38,8 +38,8 @@ module @jit_main attributes {torch.debug_module_name = "ResNet"} {
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// | | ... X|___
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// | --------------- |
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// | | +3
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// | |
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// |
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// | |
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// |
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//
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%input_slice = stablehlo.slice %0 [0:1, 0:3, 52:171, 52:171] : (tensor<1x3x224x224xf32>) -> tensor<1x3x119x119xf32>
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