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Results 1 - 10 of 51 for s1_shape (0.61 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/data_flow_grad_test.cc
TEST_F(DataFlowGradTest, DynamicStitchGrad) { TensorShape d1_shape({2}); TensorShape d2_shape({2, 2}); std::vector<Output> indices = {Const(scope_, 2), Const(scope_, {1, 0})}; std::vector<Output> data = { Placeholder(scope_, DT_FLOAT, Placeholder::Shape(d1_shape)), Placeholder(scope_, DT_FLOAT, Placeholder::Shape(d2_shape))}; auto y = DynamicStitch(scope_, indices, data); TensorShape y_shape({3, 2});
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 02 18:49:13 UTC 2018 - 2.6K 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/framework/gradient_checker_test.cc
xs.push_back(Placeholder(scope, DT_DOUBLE, Placeholder::Shape(x_shape))); xs.push_back(Placeholder(scope, DT_DOUBLE, Placeholder::Shape(x_shape))); auto y = Stack(scope, xs, Stack::Axis(0)); TensorShape y_shape({2, 1, 2, 3}); double max_error; TF_ASSERT_OK((ComputeGradientError<double, double, double>( scope, xs, {x_shape, x_shape}, {y}, {y_shape}, &max_error))); EXPECT_LT(max_error, 1e-10); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 06 15:54:08 UTC 2018 - 6.7K bytes - Viewed (0) -
tensorflow/c/tf_shape.h
#endif // An opaque type corresponding to a shape in tensorflow. In the future, // we may expose the ABI of TF_Shape for performance reasons. typedef struct TF_Shape TF_Shape; // Return a new, unknown rank shape object. The caller is responsible for // calling TF_DeleteShape to deallocate and destroy the returned shape. TF_CAPI_EXPORT extern TF_Shape* TF_NewShape(); // Returns the rank of `shape`. If `shape` has unknown rank, returns -1.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 30 00:25:41 UTC 2020 - 1.7K bytes - Viewed (0) -
tensorflow/c/tf_shape.cc
#include "tensorflow/c/tf_shape.h" #include <stdint.h> #include "tensorflow/c/tf_shape_internal.h" #include "tensorflow/core/framework/tensor_shape.h" extern "C" { TF_Shape* TF_NewShape() { return tensorflow::wrap(new tensorflow::PartialTensorShape()); } int TF_ShapeDims(const TF_Shape* shape) { return tensorflow::unwrap(shape)->dims(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 30 00:25:41 UTC 2020 - 1.2K 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/cc/gradients/image_grad_test.cc
template <typename T> void MakeOp(const OpType op_type, const Tensor& x_data, const Input& y_shape, const bool align_corners, const bool half_pixel_centers, Output* x, Output* y) { *x = Const<T>(scope_, x_data); switch (op_type) { case RESIZE_NEAREST: *y = ResizeNearestNeighbor( scope_, *x, y_shape, ResizeNearestNeighbor::AlignCorners(align_corners)); return;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 15 04:08:05 UTC 2019 - 12.1K 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)