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Results 1 - 10 of 40 for s0_shape (0.64 sec)
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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/linalg_grad_test.cc
TensorShape y_shape({3, 3, 2}); RunTest({x}, {x_shape}, {y}, {y_shape}); } TEST_F(LinalgGradTest, Einsum_MatMul) { TensorShape x_shape({2, 3}); TensorShape y_shape({3, 3}); Output x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x_shape)); Output y = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(y_shape)); auto z = Einsum(scope_, {x, y}, "ij,jk->ik"); TensorShape z_shape({2, 3});
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 07 23:11:54 UTC 2022 - 5.8K 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/cc/gradients/nn_grad_test.cc
auto y = AvgPool3D(scope_, x, ksize, strides, "SAME"); RunTest(x, x_shape, y, y_shape); } TEST_F(NNGradTest, LRN) { TensorShape x_shape({1, 1, 2, 1}); auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x_shape)); auto y = LRN(scope_, x); RunTest(x, x_shape, y, x_shape); } TEST_F(NNGradTest, SoftplusGrad) { TensorShape shape({3, 7});
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 22 20:45:22 UTC 2022 - 15K 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/linalg_grad.cc
x = Conj(scope, x); y = Conj(scope, y); } const auto x_shape = Shape(scope, x); const auto y_shape = Shape(scope, y); Output grad_x = EinsumGradWrt(scope, grad, y, x_shape, x_subs, y_subs, output_subs); Output grad_y = EinsumGradWrt(scope, grad, x, y_shape, y_subs, x_subs, output_subs); if (!absl::StrContains(output_subs, kEllipsis)) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 07 23:11:54 UTC 2022 - 20.4K 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)