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Results 1 - 10 of 19 for F32Attr (0.11 sec)
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tensorflow/compiler/mlir/tfr/passes/decompose_patterns.td
[(TFR_ConstantTensorOp (Arith_ConstantOp ConstantAttr<I32Attr, "-128">)), (TFR_ConstantTensorOp (Arith_ConstantOp ConstantAttr<I32Attr, "127">))]>; def QuantActRangeReluPattern : Pattern< (TFR_TFRQuantActRangeOp (TFR_ConstOp HasStringAttr<"RELU">:$act), (ConstantLikeMatcher F32Attr:$scale), (ConstantLikeMatcher I64Attr:$zp)),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Sep 29 21:02:21 UTC 2022 - 2.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/tf_quant_ops.td
I32Attr:$calibration_method, // The number of histogram bins. I32Attr:$num_bins, // Min percentile to be included in the selected range, only used in the // `HISTOGRAM_PERCENTILE` method. F32Attr:$min_percentile, // Max percentile to be included in the selected range, only used in the // `HISTOGRAM_PERCENTILE` method. F32Attr:$max_percentile );
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td
TF_Float32Tensor:$momenta, TF_Int32Tensor:$num_minibatches_per_physical_sparse_core, BoolAttr:$use_nesterov, F32Attr:$exponent, F32Attr:$beta1, F32Attr:$beta2, F32Attr:$epsilon, F32Attr:$clip_weight_min, F32Attr:$clip_weight_max, StrAttr:$table_name ); let results = (outs TF_Float32Tensor:$updated_embedding_table,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 04:08:35 UTC 2024 - 90.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_patterns.td
$t, $m, $v, $beta, $gamma, F32Attr:$variance_epsilon, ConstBoolAttrFalse:$scale_after_normalization), (TF_AddOp (TF_MulOp $t, (TF_RsqrtOp:$rsqrt (TF_AddOp $v, (TF_ConstOp $variance_epsilon)))), (TF_SubOp $beta, (TF_MulOp $m, $rsqrt)))>; def ConvertBatchNormWithGlobalNormalization_2 : Pat< (TF_BatchNormWithGlobalNormalizationOp
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 10.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_patterns.td
(TFL_FloorModOp $arg0, $arg1)>; def LegalizeExp : Pat<(TF_ExpOp $arg0), (TFL_ExpOp $arg0)>; def LegalizeLRN : Pat< (TF_LRNOp $arg0, $radius, F32Attr:$bias, F32Attr:$alpha, F32Attr:$beta), (TFL_LocalResponseNormalizationOp $arg0, (convertIntAttrTo32Bit $radius), $bias, $alpha, $beta)>; def LegalizeNonMaxSuppressionV4 : Pat<
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 04 13:30:42 UTC 2024 - 28.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.td
method and the quant-convert-simulated-quantization pass for further details. }]; let arguments = (ins F32Tensor:$inputs, F32Attr:$min, F32Attr:$max, // The bitwidth of the quantization; between 2 and 16, inclusive. I64Attr:$num_bits, // Quantization range starts from 0 or 1; starts from 1 if true.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Oct 13 12:46:08 UTC 2022 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/ir/QuantOps.td
method and the quant-convert-simulated-quantization pass for further details. }]; let arguments = (ins F32Tensor:$inputs, F32Attr:$min, F32Attr:$max, // The bitwidth of the quantization; between 2 and 16, inclusive. I64Attr:$num_bits, // Quantization range starts from 0 or 1; starts from 1 if true.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 09 03:10:59 UTC 2024 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
TFL_TensorOf<[F32]>:$filter, TFL_TensorOfOrNone<[F32]>:$bias, I32Attr:$dilation_d_factor, I32Attr:$dilation_h_factor, I32Attr:$dilation_w_factor, TFL_AFAttr:$fused_activation_function, TFL_PaddingAttr:$padding, I32Attr:$stride_d, I32Attr:$stride_h, I32Attr:$stride_w ); let results = (outs TFL_TensorOf<[F32]>:$output);
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/quantization/tensorflow/passes/prepare_lifting.td
// see tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc def FoldFusedBatchNormV3: Pattern< (TF_FusedBatchNormV3Op:$root $x, $scale, $offset, $mean, $variance, F32Attr:$epsilon, $exponential_avg_factor, $data_format, IsFalseBoolAttr:$is_training), [(TF_AddV2Op (TF_MulOp $x, (TF_MulOp:$multiplier $scale,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 14 03:24:59 UTC 2024 - 8.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
Arg<TensorOf<[TF_Bfloat16, TF_Float16, TF_Float32]>, [{4-D.}]>:$input, DefaultValuedOptionalAttr<I64Attr, "5">:$depth_radius, DefaultValuedOptionalAttr<F32Attr, "1.0f">:$bias, DefaultValuedOptionalAttr<F32Attr, "1.0f">:$alpha, DefaultValuedOptionalAttr<F32Attr, "0.5f">:$beta ); let results = (outs TensorOf<[TF_Bfloat16, TF_Float16, TF_Float32]>:$output );
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)