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Results 1 - 10 of 14 for emitWarning (0.27 sec)
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tensorflow/compiler/mlir/lite/transforms/prepare_composite_functions_tf.cc
} LogicalResult VerifySignature() { if (func_.getNumArguments() != 2) { return func_.emitWarning() << "Invalid number of arguments in the embedding " "matmul composite function"; } if (func_.getFunctionType().getNumResults() != 1) { return func_.emitWarning() << "Invalid number of results in the " "embedding matmul composite function";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/unfuse_batch_norm_pass.cc
if ((status & (~APFloat::opInexact)) != APFloat::opOK) { op->emitWarning() << "Could not convert batch_norm epsilon to target fp " "type: opStatus = " << static_cast<int>(status); return nullptr; } if (loses_info) { op->emitWarning("Conversion of epsilon loses precision"); } epsilon_attr = b.getFloatAttr(fp_type, epsilon_float);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_quantize.cc
// concat ops. func.walk([&](ConcatenationOp concat) { if (concat.getOutput().hasOneUse() && Quantized(*concat.getOutput().user_begin())) { return; } concat.emitWarning( "Missing quantization parameter on the output might introduce " "quantization error!"); }); // Check for (Quant (Dequant $in), $qA) "qdq" pairs that couldn't be
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tpu_validate_inputs.cc
} if (cluster_succ.empty()) { // TODO (b/269195256#comment16): Change to error after resolving issue // with test. Will fix it after the upstream code is fixed. op->emitWarning("TF2XLA TPU bridge input check: cluster op = ") << parent->getName() << " with cluster = " << cluster << " has successor as non cluster op " << op->getName(); return true; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 07 06:51:01 UTC 2024 - 21.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/tfl_stablehlo_pass.cc
builder->getNamedAttr(key, conv_dimension_numbers_attr); attrs.push_back(named_attr); } break; } default: { emitWarning(builder->getUnknownLoc(), "seralization not supported for : ") << key; break; } } } return attrs; } };
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 24 06:08:43 UTC 2024 - 10.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/defer_activation_transpose.cc
DeferActivationTransposeForMaxPoolReduceWindowOp, DeferActivationTransposeForMaxOp>(&ctx); if (failed(applyPatternsAndFoldGreedily(func_op, std::move(patterns)))) { func_op->emitWarning() << "Failed to converge patterns: " << getArgument(); } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 07 11:51:44 UTC 2024 - 14.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.h
if (num_bits <= 8 && range >= 10.0) { op.emitWarning() << "Tensor range is too wide to be quantized. Use tf.clip_by_value " "or tf.relu6 to narrow the tensor range. Range: " << range << ", bit width: " << num_bits; } if (std::abs(max - min) < kNearZeroTolerance) { op.emitWarning() << "Tensor range (" << min << ", " << max
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/quantization_context.cc
llvm::SmallVectorImpl<Operation *> *new_items, bool *changed) { auto signature = GetSignature(op); auto spec = target_spec_.GetKernelSpec(op.getLogicalKernel(), signature); if (!spec.has_value()) { op.emitWarning( "Couldn't find kernel from the registration for quantization."); return success(); } switch (spec->type) { case ScaleConstraintType::OutputInputFreeScale: { // no propagation.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 08 01:38:03 UTC 2024 - 13.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/duplicate_shape_determining_constants.cc
continue; } else if (!defining_op) { // One example for this case is when `curr_operand` is a function // argument. owning_op->emitWarning() << "Operand idx (zero-based): " << curr_operand->getOperandNumber() << " does not have a defining op and cannot be duplicated."; } else {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 17.5K bytes - Viewed (0)