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Results 21 - 30 of 46 for shape_of (0.14 sec)
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tensorflow/compiler/mlir/tf2xla/transforms/tf2xla_rewriter.cc
<< operand.getType(); } auto shape_or = expr.GetShape(); if (!shape_or.ok()) { return op_->emitRemark() << "failed to get shape for expression. " << expr.HumanString(); } tensors.emplace_back( device_->GetAllocator(tensorflow::AllocatorAttributes()), expr.dtype(), shape_or.value()); tensorflow::Tensor& tensor = tensors.back();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:16:07 UTC 2024 - 18.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/tpu_rewrite_pass.cc
metadata.args(operand_and_idx.index()).shape()); if (shape.IsFullyDefined()) continue; auto shape_op = builder->create<TF::ShapeOp>( cluster_func.getLoc(), tensorflow::GetTypeFromTFTensorShape({-1}, builder->getIntegerType(64)), operand_and_idx.value()); compile_op_operands.emplace_back(shape_op.getResult()); } FlatSymbolRefAttr func_attr = cluster_func.getFuncAttr(); func::FuncOp func =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 21:25:12 UTC 2024 - 29.7K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental_test.cc
ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_Op* shape_op = ShapeOp(ctx, hgpu); TFE_OpSetDevice(shape_op, gpu_device_name.c_str(), status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_TensorHandle* retvals[1]; int num_retvals = 1; TFE_Execute(shape_op, &retvals[0], &num_retvals, status.get());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Aug 03 03:14:26 UTC 2023 - 31.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
auto element_type = x.getElementType(); auto shape_x = x.getShape(); auto shape_y = y.getShape(); if (shape_x.size() == shape_y.size()) { llvm::SmallVector<int64_t, 4> out_shape(shape_x.size()); for (int i = 0; i < shape_x.size(); i++) { auto x_val = shape_x[i]; auto y_val = shape_y[i]; out_shape[i] = std::max(x_val, y_val); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/duplicate_shape_determining_constants.cc
// or bounded from the XLA compiler's perspective, even if it is not a // `ConstOp`. bool IsOutputCompileTimeConstantOrBounded(Operation* op) { return llvm::isa_and_nonnull<TF::ShapeOp, TF::ShapeNOp, TF::RankOp, TF::SizeOp, TF::TensorArraySizeV3Op, TF::XlaSetBoundOp>(op); } // Recursively duplicate constants for `op_operands` upward.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 17.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.cc
auto element_ty = input_ty.getElementType(); output_ty = UnrankedTensorType::get(element_ty); auto shape_ty = shape.getType().dyn_cast<RankedTensorType>(); if (!shape_ty) return success(); if (shape_ty.getRank() != 1) return error_handler(llvm::formatv( "requires 'shape' to be rank 1, but got {0}", shape_ty.getRank())); DenseIntElementsAttr shape_attr; if (!matchPattern(shape, m_Constant(&shape_attr))) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 169.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
llvm::ArrayRef<int64_t> shape_ref = mlir::cast<TensorType>(tensor_attr.getType()).getShape(); if (mlir::failed(check_shape(shape_ref))) return std::nullopt; shape = std::vector<int32_t>(shape_ref.begin(), shape_ref.end()); } else if (type.hasRank()) { llvm::ArrayRef<int64_t> shape_ref = type.getShape(); if (mlir::failed(check_shape(shape_ref))) return std::nullopt;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/mark_ops_for_outside_compilation.cc
OperationName(mlir::TF::RankOp::getOperationName(), context), OperationName(mlir::TF::RangeOp::getOperationName(), context), OperationName(mlir::TF::ShapeOp::getOperationName(), context), OperationName(mlir::TF::ShapeNOp::getOperationName(), context), OperationName(mlir::TF::SizeOp::getOperationName(), context), }; supported_ops->insert(allowlist_ops.begin(), allowlist_ops.end()); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 21.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tensor_list_ops_decomposition.cc
// returns an error. LogicalResult GetConstShapeValue(Value shape_value, llvm::SmallVector<int64_t, 8>* shape) { auto shape_op = shape_value.getDefiningOp(); if (!shape_op) return failure(); auto shape_const_op = llvm::dyn_cast<TF::ConstOp>(shape_op); if (!shape_const_op) return failure(); for (const auto& v : shape_const_op.getValue().getValues<APInt>()) { int64_t dim_size = v.getSExtValue();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 39.2K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/internal/saved_model_api_test.cc
TF_SignatureDefParamTensorSpec(param_out); const TF_Shape* shape_out = TF_TensorSpecShape(tensor_spec_out); // Output "output_0" is a scalar, float32 tensor EXPECT_EQ("output_0", std::string(TF_SignatureDefParamName(param_out))); EXPECT_EQ(TF_FLOAT, TF_TensorSpecDataType(tensor_spec_out)); EXPECT_EQ(0, TF_ShapeDims(shape_out)); std::vector<TFE_TensorHandle*> compute_fn_inputs;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 08:08:45 UTC 2024 - 21.3K bytes - Viewed (0)