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Results 11 - 20 of 25 for numBits (0.15 sec)
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tensorflow/c/tf_tensor.cc
void TF_SetShape(TF_Tensor* t, const int64_t* dims, int num_dims) { tensorflow::down_cast<tensorflow::TensorInterface*>(t->tensor)->SetShape( dims, num_dims); } int TF_NumDims(const TF_Tensor* t) { return t->tensor->NumDims(); } int64_t TF_Dim(const TF_Tensor* t, int dim_index) { return t->tensor->Dim(dim_index); } size_t TF_TensorByteSize(const TF_Tensor* t) { return t->tensor->ByteSize(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Apr 14 21:57:32 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/insert_weight_param.cc
Type weight_type; if (IsPerTensor(weight_only_ptq)) { weight_type = dyn_cast<quant::QuantizedType>( quant::GetUniformQuantizedTypeForWeight( attr, /*symmetric=*/true, /*num_bits=*/8, /*is_signed=*/true, /*narrow_range=*/true, /*legacy_float_scale=*/false)); } else { int quantization_dimension = GetQuantizationDimension(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_without_identity.pbtxt
input: "BoxPredictor_4/ClassPredictor/weights_quant/max" attr { key: "narrow_range" value { b: true } } attr { key: "num_bits" value { i: 8 } } } node { name: "BoxPredictor_4/ClassPredictor/Conv2D" op: "Conv2D" input: "input"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_without_identity_4bit.pbtxt
input: "BoxPredictor_4/ClassPredictor/weights_quant/max" attr { key: "narrow_range" value { b: true } } attr { key: "num_bits" value { i: 4 } } } node { name: "BoxPredictor_4/ClassPredictor/Conv2D" op: "Conv2D" input: "input"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel_4bit.pbtxt
input: "BoxPredictor_4/ClassPredictor/weights_quant/max/read" attr { key: "narrow_range" value { b: true } } attr { key: "num_bits" value { i: 4 } } } node { name: "BoxPredictor_4/ClassPredictor/Conv2D" op: "Conv2D" input: "input"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel.pbtxt
input: "BoxPredictor_4/ClassPredictor/weights_quant/max/read" attr { key: "narrow_range" value { b: true } } attr { key: "num_bits" value { i: 8 } } } node { name: "BoxPredictor_4/ClassPredictor/Conv2D" op: "Conv2D" input: "input"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/prepare_quantize.cc
if (!IsLegalQuantSpecs(func)) { return true; } OpBuilder builder(func); bool is_signed = quant_specs_.IsSignedInferenceType(); IntegerAttr num_bits = builder.getI32IntegerAttr(quant_specs_.GetQuantizationTypeWidth()); BoolAttr narrow_range = builder.getBoolAttr(false); auto add_quantize_op = [&](Location loc, Type input_type, Block* block,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.2K bytes - Viewed (0) -
cmd/format-erasure.go
format.Erasure.Version = formatErasureVersionV3 format.Erasure.DistributionAlgo = formatErasureVersionV3DistributionAlgoV3 format.Erasure.Sets = make([][]string, numSets) for i := 0; i < numSets; i++ { format.Erasure.Sets[i] = make([]string, setLen) for j := 0; j < setLen; j++ { format.Erasure.Sets[i][j] = mustGetUUID() } } return format }
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Fri May 24 23:05:23 UTC 2024 - 23.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_quantize.cc
if (!IsLegalQuantSpecs(func)) { return true; } OpBuilder builder(func); bool is_signed = quant_specs_.IsSignedInferenceType(); IntegerAttr num_bits = builder.getI32IntegerAttr(quant_specs_.GetQuantizationTypeWidth()); BoolAttr narrow_range = builder.getBoolAttr(false); auto add_quantize_op = [&](Location loc, Type input_type, Block* block,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.6K bytes - Viewed (0) -
src/cmd/vendor/github.com/google/pprof/internal/report/report.go
numValues[i] = v numUnit[i] = unit } numLabels[k] = append(numLabels[k], numValues...) numUnits[k] = append(numUnits[k], numUnit...) } } s.NumLabel = numLabels s.NumUnit = numUnits } // Remove label marking samples from the base profiles, so it does not appear // as a nodelet in the graph view. prof.RemoveLabel("pprof::base")
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 31 19:48:28 UTC 2024 - 37.5K bytes - Viewed (0)