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tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_drq.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 9.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions.mlir
// CHECK-DAG: {{\[\[\[}}-87, -42] // CHECK: %[[quantize:.*]] = "tf.PartitionedCall"(%arg0, %[[in_scale]], %[[in_zp]]) // CHECK-SAME: f = @quantize_i8 // CHECK: %[[conv_quant:.*]] = "tf.PartitionedCall"(%[[quantize]], %[[w_quant]], %[[b_quant]], // CHECK-SAME: %[[in_scale]], %[[in_zp]], %[[w_scale]], %[[w_zp]], // CHECK-SAME: %[[b_scale]], %[[w_zp]], %[[out_scale]], %[[out_zp]]) // CHECK-SAME: f = @quantized_conv2d_with_bias_and_relu6_fn_0
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 01:23:21 UTC 2023 - 15.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc
"'h_scale' type: 'float'} attr : { name: 'max_classes_per_detection' " "type: 'int'} attr : { name: 'max_detections' type: 'int'} attr : { " "name: 'nms_iou_threshold' type: 'float'} attr : { name: " "'nms_score_threshold' type: 'float'} attr : { name: 'num_classes' type: " "'int'} attr : { name: 'w_scale' type: 'float'} attr : { name: 'x_scale' "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun May 12 12:39:37 UTC 2024 - 17.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_xla.mlir
// CHECK-DAG: %[[w0_quantized:.*]] = "tf.Const"() <{value = dense<{{\[\[\[\[}}-42, 18 // CHECK-DAG: %[[in_scale:.*]] = "tf.Const"() <{value = dense<0.0039215642> : tensor<f32>}> : () -> tensor<f32> // CHECK-DAG: %[[in_out_zp:.*]] = "tf.Const"() <{value = dense<-128> : tensor<i32>}> : () -> tensor<i32> // CHECK-DAG: %[[w0_scale:.*]] = "tf.Const"() <{value = dense<0.0150353173> : tensor<f32>}> : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jan 08 01:16:10 UTC 2024 - 25.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_driver.cc
for (RequantizeState& rescale : rescales) { if (rescale.params == quantized_type) { rescale.users.emplace_back(op, operand_index); return true; } } RequantizeState& rescale = rescales.emplace_back(); rescale.pos = RequantizeState::ON_OUTPUT; rescale.params = quantized_type; rescale.users.emplace_back(op, operand_index); return true; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 38.1K bytes - Viewed (0) -
staging/src/k8s.io/apimachinery/pkg/api/resource/quantity.go
} return q.i.Sign() } // AsScale returns the current value, rounded up to the provided scale, and returns // false if the scale resulted in a loss of precision. func (q *Quantity) AsScale(scale Scale) (CanonicalValue, bool) { if q.d.Dec != nil { return q.d.AsScale(scale) } return q.i.AsScale(scale) } // RoundUp updates the quantity to the provided scale, ensuring that the value is at
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed May 29 21:48:10 UTC 2024 - 23.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/ir/tfr_ops.cc
// TFR_ConstantTensorOp ( // ConstantOp (ConstAttr<F32Attr (in_scale[0] * in_scale[1] / // out_scale)) // ) // Currently, all decompositions using this pattern (Conv2D, FC) have the // following preconditions: // * out_scale: float scalar attribute // * in_scale[0] (input scale): float scalar, given by tf.Const -> tfr.cast // * in_scale[1] (filter scale): float scalar/vector
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Nov 21 16:55:41 UTC 2023 - 38.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/quantization_context.cc
auto &state = GetResultQuantState(op, res_index); if (state.params == params) { return false; } if (!state.IsEmpty()) { auto &rescale = GetResultRequantizeState(op, res_index); rescale.params = params; rescale.pos = RequantizeState::ON_INPUT; return false; } state.params = params; return true; }
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/prepare_lifting.cc
if (multiplier_attr.isSplat()) { double new_scale = multiplier_array.front() * uniform_type.getScale(); new_qtype = UniformQuantizedType::get( uniform_type.getFlags(), uniform_type.getStorageType(), uniform_type.getExpressedType(), new_scale, uniform_type.getZeroPoint(), uniform_type.getStorageTypeMin(),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 13.3K bytes - Viewed (0) -
src/cmd/vendor/github.com/google/pprof/internal/driver/html/common.js
e.preventDefault(); } else if (mode == TOUCHZOOM) { // Get two touches; new gap; rescale to ratio. const t1 = findTouch(e.touches, touchid); const t2 = findTouch(e.touches, touchid2); if (t1 == null || t2 == null) return; const gap = touchGap(t1, t2); rescale(initScale * gap / initGap, centerPoint); e.preventDefault(); } }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Feb 16 15:19:53 UTC 2024 - 20K bytes - Viewed (0)