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Results 21 - 30 of 73 for BoolAttr (0.25 sec)
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tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
// destination type is not inferred and must be given explicitly. // // Preconditions: The given value must have a ShapedType. static Value CreateTFCastOpI32(OpBuilder *builder, Location loc, Value x, BoolAttr truncate) { auto x_type = mlir::dyn_cast_or_null<ShapedType>(x.getType()); if (!x_type) llvm_unreachable("unsupported type"); Type type = x_type.clone(builder->getI32Type());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.cc
Value input, Value weight, Value input_zp, Value weight_zp, Value output, BoolAttr transpose_a, BoolAttr transpose_b) { // Transpose and constant-fold the weight if needed. if (transpose_b.getValue()) { Value perm = Create1DConstValue<int32_t>(builder, loc, {1, 0});
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 47.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/analyze_variables.cc
legalize_to_tfl = false; return WalkResult::interrupt(); } } return WalkResult::advance(); }); module->setAttr(kLegalizeTflVariables, BoolAttr::get(context, legalize_to_tfl)); } } // namespace std::unique_ptr<OperationPass<ModuleOp>> CreateAnalyzeVariablesPass() { return std::make_unique<AnalyzeVariablesPass>(); } } // namespace TFL
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/lstm_utils.cc
mlir::TFL::LSTMKernelTypeAttr::get(builder_.getContext(), mlir::TFL::LSTMKernelType::FULL), /*asymmetric_quantize_inputs=*/mlir::BoolAttr(), /*input_to_input_intermediate=*/mlir::TypeAttr(), /*input_to_forget_intermediate=*/mlir::TypeAttr(), /*input_to_cell_intermediate=*/mlir::TypeAttr(),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 36.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/prepare_lifting.cc
} } else if (llvm::isa<TF::BatchMatMulV2Op>(op)) { if (const auto adj_y = op->getAttrOfType<BoolAttr>("adj_y")) { is_supported_affine_op = !adj_y.getValue(); } } else if (llvm::isa<TF::MatMulOp>(op)) { if (const auto adj_y = op->getAttrOfType<BoolAttr>("transpose_b")) { is_supported_affine_op = !adj_y.getValue(); } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 13.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/insert_calibration_statistics_saver.cc
// to stateful, otherwise the op will not be executed. OpBuilder builder(&ctx); module_op.walk([&builder](Operation* op) { if (op->hasAttrOfType<BoolAttr>("is_stateless") && ContainCalibrationStatisticsSaverOp(op)) { op->setAttr("is_stateless", builder.getBoolAttr(false)); } }); } std::unique_ptr<OperationPass<ModuleOp>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 7.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/fused_kernel_matcher.cc
}); return false; } // FusedMatMul kernel does not support grad_a/grad_b attrs if ((matmul->hasAttr("grad_a") && mlir::cast<BoolAttr>(matmul->getAttr("grad_a")).getValue()) || (matmul->hasAttr("grad_b") && mlir::cast<BoolAttr>(matmul->getAttr("grad_b")).getValue())) { (void)rewriter.notifyMatchFailure(matmul, [&](Diagnostic &diag) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 14.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/fake_quant_utils.h
// attribute to create the quantization parameter for the new quantize op. rewriter.setInsertionPointAfter(tf_op.getOperation()); IntegerAttr num_bits = rewriter.getI64IntegerAttr(tf_op.getNumBits()); BoolAttr narrow_range = rewriter.getBoolAttr(tf_op.getNarrowRange()); Type res_type = tf_op.getType(); TypeAttr qtype = quant::GetQuantizedTypeAttr( rewriter, res_type, min_value, max_value, quant_dim, num_bits,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/utils/fake_quant_utils.h
// attribute to create the quantization parameter for the new quantize op. rewriter.setInsertionPointAfter(tf_op.getOperation()); IntegerAttr num_bits = rewriter.getI64IntegerAttr(tf_op.getNumBits()); BoolAttr narrow_range = rewriter.getBoolAttr(tf_op.getNarrowRange()); Type res_type = tf_op.getType(); TypeAttr qtype = quant::GetQuantizedTypeAttr( rewriter, input_type, min_value, max_value, quant_dim, num_bits,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_ops.td
This op returns a scalar string tensor as a key for user to look for the loaded array and a future containing the restored tensor. }]; let arguments = (ins TF_Tensor:$variable, DefaultValuedAttr<BoolAttr, "false">:$used_by_host ); let results = (outs TF_Tensor:$array_key, MlrtFutureType: $tensor_future ); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 21:35:32 UTC 2024 - 6.7K bytes - Viewed (0)