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Update model analysis documentation
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1,118 changes: 529 additions & 589 deletions model_analysis_docs/ModelsInfo.md
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<th>18</th>
<td>MaxPool2d</td>
<td>Operand(type=Activation, shape=(1, 256, 13, 13), dtype=float32)</td>
<td>kernel_size : 3<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : False<br>max_pool_add_sub_surround : False<br>max_pool_add_sub_surround_value : 1.0<br>channel_last : 0</td>
<td>kernel_size : 3<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : False<br>channel_last : 0</td>
<td>&#x2705;</td>
<td>&#x2705;</td>
<td>&#x2705;</td>
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<th>19</th>
<td>MaxPool2d</td>
<td>Operand(type=Activation, shape=(1, 64, 55, 55), dtype=float32)</td>
<td>kernel_size : 3<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : False<br>max_pool_add_sub_surround : False<br>max_pool_add_sub_surround_value : 1.0<br>channel_last : 0</td>
<td>kernel_size : 3<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : False<br>channel_last : 0</td>
<td>&#x2705;</td>
<td>&#x2705;</td>
<td>&#x2705;</td>
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<th>20</th>
<td>MaxPool2d</td>
<td>Operand(type=Activation, shape=(1, 192, 27, 27), dtype=float32)</td>
<td>kernel_size : 3<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : False<br>max_pool_add_sub_surround : False<br>max_pool_add_sub_surround_value : 1.0<br>channel_last : 0</td>
<td>kernel_size : 3<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : False<br>channel_last : 0</td>
<td>&#x2705;</td>
<td>&#x2705;</td>
<td>&#x2705;</td>
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10 changes: 5 additions & 5 deletions model_analysis_docs/models/alexnet/pt_alexnet_base_img_cls_osmr.md
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Expand Up @@ -117,7 +117,7 @@
<td>&#x274C;</td>
<td>&#x274C;</td>
<td></td>
<td>[MLIR][mlir::AffineMap collapsedLinearAffineMap] python: /__w/tt-forge-fe/tt-forge-fe/third_party/tt-mlir/lib/Dialect/TT/IR/TTOpsTypes.cpp:445: mlir::AffineMap collapsedLinearAffineMap(::mlir::MLIRContext *, ::llvm::ArrayRef<int64_t>, ::llvm::ArrayRef<int64_t>, ::llvm::ArrayRef<std::pair<std::int64_t, std::int64_t>>): Assertion `found && "Dim does not participate in AffineMap RHS"' failed.</td>
<td>[MLIR][mlir::AffineMap collapsedLinearAffineMap] python: /__w/tt-forge-fe/tt-forge-fe/third_party/tt-mlir/lib/Dialect/TT/IR/TTOpsTypes.cpp:460: mlir::AffineMap collapsedLinearAffineMap(::mlir::MLIRContext *, ::llvm::ArrayRef<int64_t>, ::llvm::ArrayRef<int64_t>, ::llvm::ArrayRef<std::pair<std::int64_t, std::int64_t>>): Assertion `found && "Dim does not participate in AffineMap RHS"' failed.</td>
</tr>
<tr>
<th>10</th>
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<td>&#x274C;</td>
<td>&#x274C;</td>
<td></td>
<td>[MLIR][mlir::AffineMap collapsedLinearAffineMap] python: /__w/tt-forge-fe/tt-forge-fe/third_party/tt-mlir/lib/Dialect/TT/IR/TTOpsTypes.cpp:445: mlir::AffineMap collapsedLinearAffineMap(::mlir::MLIRContext *, ::llvm::ArrayRef<int64_t>, ::llvm::ArrayRef<int64_t>, ::llvm::ArrayRef<std::pair<std::int64_t, std::int64_t>>): Assertion `found && "Dim does not participate in AffineMap RHS"' failed.</td>
<td>[MLIR][mlir::AffineMap collapsedLinearAffineMap] python: /__w/tt-forge-fe/tt-forge-fe/third_party/tt-mlir/lib/Dialect/TT/IR/TTOpsTypes.cpp:460: mlir::AffineMap collapsedLinearAffineMap(::mlir::MLIRContext *, ::llvm::ArrayRef<int64_t>, ::llvm::ArrayRef<int64_t>, ::llvm::ArrayRef<std::pair<std::int64_t, std::int64_t>>): Assertion `found && "Dim does not participate in AffineMap RHS"' failed.</td>
</tr>
<tr>
<th>11</th>
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<th>20</th>
<td>MaxPool2d</td>
<td>Operand(type=Activation, shape=(1, 96, 54, 54), dtype=float32)</td>
<td>kernel_size : 3<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : True<br>max_pool_add_sub_surround : False<br>max_pool_add_sub_surround_value : 1.0<br>channel_last : 0</td>
<td>kernel_size : 3<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : True<br>channel_last : 0</td>
<td>&#x2705;</td>
<td>&#x2705;</td>
<td>&#x274C;</td>
Expand All @@ -244,7 +244,7 @@
<th>21</th>
<td>MaxPool2d</td>
<td>Operand(type=Activation, shape=(1, 256, 27, 27), dtype=float32)</td>
<td>kernel_size : 3<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : True<br>max_pool_add_sub_surround : False<br>max_pool_add_sub_surround_value : 1.0<br>channel_last : 0</td>
<td>kernel_size : 3<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : True<br>channel_last : 0</td>
<td>&#x2705;</td>
<td>&#x2705;</td>
<td>&#x2705;</td>
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<th>22</th>
<td>MaxPool2d</td>
<td>Operand(type=Activation, shape=(1, 256, 13, 13), dtype=float32)</td>
<td>kernel_size : 3<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : True<br>max_pool_add_sub_surround : False<br>max_pool_add_sub_surround_value : 1.0<br>channel_last : 0</td>
<td>kernel_size : 3<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : True<br>channel_last : 0</td>
<td>&#x2705;</td>
<td>&#x2705;</td>
<td>&#x2705;</td>
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4 changes: 2 additions & 2 deletions model_analysis_docs/models/autoencoder/pt_autoencoder_conv_img_enc_github.md
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Expand Up @@ -112,7 +112,7 @@
<th>9</th>
<td>MaxPool2d</td>
<td>Operand(type=Activation, shape=(1, 16, 28, 28), dtype=float32)</td>
<td>kernel_size : 2<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : False<br>max_pool_add_sub_surround : False<br>max_pool_add_sub_surround_value : 1.0<br>channel_last : 0</td>
<td>kernel_size : 2<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : False<br>channel_last : 0</td>
<td>&#x2705;</td>
<td>&#x2705;</td>
<td>&#x2705;</td>
Expand All @@ -123,7 +123,7 @@
<th>10</th>
<td>MaxPool2d</td>
<td>Operand(type=Activation, shape=(1, 4, 14, 14), dtype=float32)</td>
<td>kernel_size : 2<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : False<br>max_pool_add_sub_surround : False<br>max_pool_add_sub_surround_value : 1.0<br>channel_last : 0</td>
<td>kernel_size : 2<br>stride : 2<br>padding : [0, 0, 0, 0]<br>dilation : 1<br>ceil_mode : False<br>channel_last : 0</td>
<td>&#x2705;</td>
<td>&#x2705;</td>
<td>&#x274C;</td>
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