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Results 71 - 80 of 82 for conv2 (0.07 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/passes/insert_weight_param.cc
const auto module_op = op->getParentOfType<ModuleOp>(); const SymbolTable symbol_table(module_op); func::FuncOp func = symbol_table.lookup<func::FuncOp>(function_name); if (function_name.contains("conv")) { return (*(func.getOps<mlir::stablehlo::ConvolutionOp>().begin())) .getDimensionNumbers() .getKernelOutputFeatureDimension(); } else if (function_name.contains("dot_general")) {
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/quantization/common/attrs_and_constraints.h
// or `std::nullopt` if the given op is not per-channel quantizable. std::optional<int64_t> GetDotGeneralQuantizationDim( ::mlir::stablehlo::DotGeneralOp dot_general_op); // Checks if a `StringRef` contains 'conv' or 'dot_general'. bool ContainsConvOrDot(StringRef str); } // namespace mlir::quant
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 9.9K bytes - Viewed (0) -
src/cmd/compile/internal/walk/order.go
ir.ORECOVERFP, ir.OSTR2BYTES, ir.OSTR2BYTESTMP, ir.OSTR2RUNES: if isRuneCount(n) { // len([]rune(s)) is rewritten to runtime.countrunes(s) later. conv := n.(*ir.UnaryExpr).X.(*ir.ConvExpr) conv.X = o.expr(conv.X, nil) } else { o.call(n) } if lhs == nil || lhs.Op() != ir.ONAME || base.Flag.Cfg.Instrumenting { return o.copyExpr(n) } return n
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Mar 08 02:00:33 UTC 2024 - 42.7K bytes - Viewed (0) -
platforms/software/dependency-management/src/integTest/groovy/org/gradle/integtests/resolve/verification/DependencyVerificationWritingIntegTest.groovy
canBeConsumed = false } conf2 { canBeResolved = false assert canBeConsumed } } dependencies { conf1 "org:foo:1.0" conf2 "org:bar:1.0" implementation "org:foo:1.1" } """ when:
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Fri Feb 02 07:31:22 UTC 2024 - 40.5K bytes - Viewed (0) -
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)