- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 32 for s1_shape (0.19 sec)
-
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc
if (s0_shape == s1_shape) return; for (int i = bcasted_shape.size(); i > 0; --i) { int idx = bcasted_shape.size() - i; int s0_idx = i > s0_shape.size() ? -1 : s0_shape.size() - i; int s1_idx = i > s1_shape.size() ? -1 : s1_shape.size() - i; if (s0_idx == -1) { r0.push_back(idx); if (s1_shape[s1_idx] == 1) r1.push_back(idx); } else if (s1_idx == -1) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 146.7K bytes - Viewed (0) -
tensorflow/cc/gradients/math_grad_test.cc
auto y = Sub(scope_, x1, x2); RunTest({x1, x2}, {x1_shape, x2_shape}, {y}, {x1_shape}); } TEST_F(NaryGradTest, Mul) { TensorShape x1_shape({3, 2, 5}); TensorShape x2_shape({2, 5}); auto x1 = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x1_shape)); auto x2 = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x2_shape)); auto y = Mul(scope_, x1, x2);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Aug 25 18:20:20 UTC 2023 - 36K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test_base.py
contracting_dims.add(c) x_signature = [ None if c not in contracting_dims else x_shape[cidx] for cidx, c in enumerate(x_labels) ] y_signature = [ None if c not in contracting_dims else y_shape[cidx] for cidx, c in enumerate(y_labels) ] return x_shape, y_shape, bias_shape, x_signature, y_signature def _create_einsum_model( self,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 18.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test_base.py
x_signature = [ None if c not in contracting_dims else x_shape[cidx] for cidx, c in enumerate(x_labels) ] y_signature = [ None if c not in contracting_dims else y_shape[cidx] for cidx, c in enumerate(y_labels) ] return x_shape, y_shape, bias_shape, x_signature, y_signature def _create_einsum_model( self,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 08:51:46 UTC 2024 - 51.2K bytes - Viewed (0) -
tensorflow/cc/gradients/array_grad_test.cc
std::vector<Output> xs; xs.push_back(Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x_shape))); xs.push_back(Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x_shape))); auto y = Stack(scope_, xs, Stack::Axis(1)); TensorShape y_shape({1, 2, 2, 3}); RunTest(xs, {x_shape, x_shape}, {y}, {y_shape}); } TEST_F(ArrayGradTest, UnstackGrad_Axis0) { TensorShape x_shape({4, 2, 3});
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 10 23:33:32 UTC 2023 - 19.3K bytes - Viewed (0) -
tensorflow/c/tf_tensor.cc
} void* TensorInterface::Data() const { return tensorflow::TensorCApi::Buffer(tensor_)->data(); } void TensorInterface::SetShape(const int64_t* dims, int num_dims) { tensorflow::TensorShape s; for (int i = 0; i < num_dims; ++i) { s.AddDim(dims[i]); } tensor_.set_shape(s); } Status TensorInterface::BitcastFrom(const TensorInterface& from, DataType type,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Apr 14 21:57:32 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/unfuse_mhlo_batch_norm.mlir
// CHECK-DAG: %[[RHS:.+]] = mhlo.subtract %[[OFFSET]], %[[MUL_MEAN]] : tensor<?xf32> // CHECK-DAG: %[[X_SHAPE:.+]] = shape.shape_of %[[X]] : tensor<?x?x?x?xf32> -> tensor<4xindex> // CHECK-DAG: %[[MULTIPLIER_BCAST:.+]] = "mhlo.dynamic_broadcast_in_dim"(%[[MULTIPLIER]], %[[X_SHAPE]]) <{broadcast_dimensions = dense<1> : tensor<1xi64>}> : (tensor<?xf32>, tensor<4xindex>) -> tensor<?x?x?x?xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 10.4K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_tensor.cc
device_ordinal); for (auto& index_to_buffer : shaped_buffer.buffers()) { xla::Shape subshape = xla::ShapeUtil::GetSubshape(on_device_shape, index_to_buffer.first); uint64 size = client->backend().transfer_manager()->GetByteSizeRequirement(subshape); TF_ASSIGN_OR_RETURN(se::OwningDeviceMemory buffer, client->backend().memory_allocator()->Allocate(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/utils.h
std::vector<int64_t> in_shape{input_type.getShape().vec()}; std::vector<int64_t> out_shape{output_type.getShape().vec()}; // If the reshape changes the number of dimensions so it cannot be interpreted // as a transpose. if (in_shape.size() != out_shape.size()) { return false; } in_shape.erase(std::remove(in_shape.begin(), in_shape.end(), 1), in_shape.end());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_tpu_device.cc
TF_RETURN_IF_ERROR( tensorflow::TensorShapeToXLAShape(type, shape, &xla_shape)); ApiConverter::StackHelper<XLA_Shape> se_shape(xla_shape); ApiConverter::StackHelper<XLA_Shape> tpu_shape; StatusHelper status; stream_executor::tpu::ExecutorApiFn()->XlaShapeToTpuShapeRepresentationFn( &se_shape.value, type, use_fast_memory, &tpu_shape.value, status.c_status); if (!status.status().ok()) { return status.status();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 22:53:47 UTC 2024 - 20.9K bytes - Viewed (0)