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tensorflow/compiler/mlir/quantization/tensorflow/passes/convert_tpu_model_to_cpu.cc
module_op.emitError() << "quant-convert-tpu-model-to-cpu pattern " "conversion did not converge."; signalPassFailure(); return; } } } // namespace // Creates an instance of `ConvertTpuModelToCpuPass`. std::unique_ptr<OperationPass<ModuleOp>> CreateConvertTpuModelToCpuPass() { return std::make_unique<ConvertTpuModelToCpuPass>(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.5K bytes - Viewed (0) -
tensorflow/compiler/jit/tests/device_compiler_test_helper.cc
#include "tensorflow/compiler/jit/xla_compilation_cache.pb.h" #include "xla/service/hlo.pb.h" #include "tensorflow/core/platform/path.h" #include "tensorflow/core/public/session.h" namespace tensorflow { namespace { // Creates a float tensor of linearly increasing values, starting from offset. Tensor CreateInputTensor(const TensorShape& shape, float offset) { Tensor tensor(DT_FLOAT, shape); for (int64 i = 0; i < tensor.flat<float>().size(); ++i) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 09 08:24:16 UTC 2024 - 6.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tpu_space_to_depth_pass.cc
auto reshape_sizes = DenseIntElementsAttr::get(reshape_type, new_shape); auto reshape_value = builder->create<TF::ConstOp>(input.getLoc(), reshape_sizes); return builder->create<TF::ReshapeOp>(input.getLoc(), reshape_result_type, input, reshape_value); } // Creates transpose op for shape to depth transform. TF::TransposeOp GetTransposeOpForConv2DFilter(OpBuilder* builder, Value input) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 29.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/prepare_quantize.cc
ctx); if (failed(applyPatternsAndFoldGreedily(func_op, std::move(patterns_2)))) { signalPassFailure(); } } } } // namespace // Creates an instance of the TensorFlow dialect PrepareQuantize pass. std::unique_ptr<OperationPass<ModuleOp>> CreatePrepareQuantizePass( const bool enable_per_channel_quantized_weight, const int bit_width) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 03 05:11:03 UTC 2024 - 8.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/lift_quantizable_spots_as_functions.cc
if (failed(ApplyQuantizationSpec(spec, module_op))) { signalPassFailure(); return; } } } } // namespace // Creates `LiftQuantizableSpotsAsFunctionsPass` with user-defined // `QuantizationSpecs`. std::unique_ptr<OperationPass<ModuleOp>> CreateLiftQuantizableSpotsAsFunctionsPass( const QuantizationSpecs& quantization_specs) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 9.3K bytes - Viewed (0) -
tensorflow/cc/framework/cc_ops_test.cc
test::GetTensors(root, {add}, &out); test::ExpectTensorNear<float>(out[0], test::AsTensor<float>({42.0f}, {}), 1e-5); out.clear(); // Note : GetTensors creates a new session, so 'v' is uninitialized. // sub should have no control deps, so it should not cause the assign to run. // Hence is_inited should be false. test::GetTensors(root, {sub, is_inited}, &out);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 15 15:13:38 UTC 2023 - 8.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/while_loop_outline.cc
} else { if (IsCompatibleTypeWithTFLCastOp(value.getType()) && IsCompatibleTypeWithTFLCastOp(type)) { auto cast = b.create<CastOp>(yield_op->getLoc(), type, value); args.push_back(cast); } else { auto cast = b.create<TF::CastOp>(yield_op->getLoc(), type, value); args.push_back(cast); } } } args.append(new_args.begin(), new_args.end());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/convert_control_to_data_outputs.cc
} // Creates a wrapper island enclosing the `sub_op` dependent on // `control_inputs`. IslandOp CreateIsland(Operation* sub_op, ValueRange control_inputs, OpBuilder builder) { assert(sub_op); auto control_type = ControlType::get(builder.getContext()); auto island = builder.create<IslandOp>(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 28.7K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad.cc
// Calculate conjugate of X std::string name = "Conj_Log1p_Grad_X"; TF_RETURN_IF_ERROR(SafeConj(ctx, X, &temp_output, name.c_str())); AbstractTensorHandlePtr Conj_X(temp_output); // Creates Ones name = "OnesLike_Log1p_Grad_X"; TF_RETURN_IF_ERROR(OnesLike(ctx, Conj_X.get(), &temp_output, name.c_str())); AbstractTensorHandlePtr Ones_X(temp_output); name = "Add_Log1p_Grad_X";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 28 13:53:47 UTC 2024 - 15.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/dense_to_sparse.cc
auto s_qconst = builder.create<SparseQConstOp>(op->getLoc(), cst.getQtypeAttr(), cst.getValue(), s_param, new_value); value.replaceAllUsesWith(s_qconst.getResult()); cst.erase(); } if (result.needs_densify) { auto value = op->getOperand(operand); auto densify = builder.create<DensifyOp>(op->getLoc(), value.getType(), value);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 16.1K bytes - Viewed (0)