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Results 1 - 3 of 3 for QUI8 (0.05 sec)
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tensorflow/compiler/mlir/lite/ir/tfl_ops.td
Element-wise addition operation. }]; let arguments = ( ins TFL_TensorOf<[F32, I16, I32, I64, QI8, QUI8, QI16]>:$lhs, TFL_TensorOf<[F32, I16, I32, I64, QI8, QUI8, QI16]>:$rhs, TFL_AFAttr:$fused_activation_function); let results = (outs TFL_TensorOf<[F32, I16, I32, I64, QI8, QUI8, QI16]>:$output); let hasFolder = 1; let builders = [TFL_FusedBroadcastableBinaryBuilder];
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.cc
return quantized_type != nullptr && quantized_type.getStorageTypeIntegralWidth() == 8 && quantized_type.isSigned(); } // Return true when the given element_type is QUI8. bool IsQUI8Type(Type element_type) { auto quantized_type = element_type.dyn_cast<QuantizedType>(); return quantized_type != nullptr && quantized_type.getStorageTypeIntegralWidth() == 8 &&
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 169.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
func.func @testMaxPool2DWrongOperandResultType(tensor<1x7x7x16xi32>) -> tensor<1x7x7x16xi32> { ^bb0(%arg0: tensor<1x7x7x16xi32>): // expected-error @+1 {{'tfl.max_pool_2d' op operand #0 must be tensor of 32-bit float or QUI8 type or QI8 type or QI16 type or TFLite quint8 type values, but got 'tensor<1x7x7x16xi32>'}}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0)