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Results 71 - 78 of 78 for conv2 (0.05 sec)
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tensorflow/compiler/mlir/lite/quantization/lite/quantize_weights_test.cc
const auto float_graph = model_->subgraphs()->Get(subgraph_idx); ASSERT_EQ(quantized_graph->tensors()->size(), float_graph->tensors()->size()); // Make sure the graph only has one Conv operation. ASSERT_EQ(quantized_graph->operators()->size(), 1); const auto op = quantized_graph->operators()->Get(0); const uint32_t op_code_idx = op->opcode_index();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 32.3K bytes - Viewed (0) -
src/net/dial_test.go
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Feb 20 06:04:31 UTC 2024 - 30.3K bytes - Viewed (0) -
src/cmd/compile/internal/typecheck/builtin.go
{"slicerunetostring", funcTag, 48}, {"stringtoslicebyte", funcTag, 50}, {"stringtoslicerune", funcTag, 53}, {"slicecopy", funcTag, 54}, {"decoderune", funcTag, 55}, {"countrunes", funcTag, 56}, {"convT", funcTag, 57}, {"convTnoptr", funcTag, 57}, {"convT16", funcTag, 59}, {"convT32", funcTag, 61}, {"convT64", funcTag, 62}, {"convTstring", funcTag, 63}, {"convTslice", funcTag, 66}, {"assertE2I", funcTag, 67},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue May 21 21:08:03 UTC 2024 - 16.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/passes.td
Option<"is_signed_", "is-signed", "bool", "false", "Is the corresponding integer signed">, ]; } def IdentifyDilatedConvPass : Pass<"tfl-identify-dilated-conv", "mlir::func::FuncOp"> { let summary = "Convert dense tensor to sparse format."; let constructor = "CreateIdentifyDilatedConvPass()"; let dependentDialects = ["TFL::TensorFlowLiteDialect"]; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 22.6K 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/quantization/stablehlo/passes/bridge/convert_tf_quant_to_mhlo_int_test.cc
quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64 } : ( tensor<3x3x10x20x!tf_type.qint8>, tensor<f32>, tensor<i32> ) -> tensor<3x3x10x20xf32> %0 = "tf.Conv2D"(%input, %filter_new) { Tin = "tfdtype$DT_FLOAT", Tout = "tfdtype$DT_FLOAT", attr_map = "", batch_group_count = 1 : i64, explicit_padding = [], feature_group_count = 1 : i64, lhs_dilation = [1, 1],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 03 01:03:21 UTC 2024 - 35.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema.fbs
table Conv2DOptions { padding:Padding; stride_w:int; stride_h:int; fused_activation_function:ActivationFunctionType; dilation_w_factor:int = 1; dilation_h_factor:int = 1; // Parameters for Conv2D version 8 or above. // When set, quantized_bias_type defines the dtype for both bias and accumulator. quantized_bias_type: TensorType; } // Options for both Conv3D and Conv3DTranspose. table Conv3DOptions {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 41.7K bytes - Viewed (0) -
src/cmd/compile/internal/typecheck/typecheck.go
return false } } // DefaultLit is necessary for non-constants too: n might be 1.1<<k. n = DefaultLit(n, types.Types[types.TINT]) *np = n return true } func Conv(n ir.Node, t *types.Type) ir.Node { if types.IdenticalStrict(n.Type(), t) { return n } n = ir.NewConvExpr(base.Pos, ir.OCONV, nil, n) n.SetType(t) n = Expr(n) return n }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Mar 20 19:08:34 UTC 2024 - 30.5K bytes - Viewed (0)