- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 30 for zipsum (0.12 sec)
-
src/cmd/go/internal/modfetch/coderepo_test.go
if needHash { sum, err := dirhash.HashZip(zipfile, dirhash.Hash1) if err != nil { t.Errorf("repo.Zip(%q): %v", tt.version, err) } else if sum != tt.zipSum { t.Errorf("repo.Zip(%q): got file with sum %q, want %q", tt.version, sum, tt.zipSum) } else if zipFileHash := hex.EncodeToString(h.Sum(nil)); zipFileHash != tt.zipFileHash {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 18 20:10:14 UTC 2023 - 29.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/einsum.mlir
// RUN: tf-opt -split-input-file -verify-diagnostics -tf-einsum %s | FileCheck %s func.func @unary_einsum_reduce_sum_transpose(%arg0: tensor<3x4x5x6xf32>) -> tensor<3x5x4xf32> { %0 = "tf.Einsum"(%arg0) {T = "tfdtype$DT_FLOAT", equation = "...gse->...sg"}: (tensor<3x4x5x6xf32>) -> tensor<3x5x4xf32> func.return %0 : tensor<3x5x4xf32> // CHECK-LABEL: unary_einsum_reduce_sum_transpose // CHECK-DAG: %[[cst:.*]] = arith.constant dense<3> : tensor<1xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/einsum.cc
} struct EinsumDimensionNumbers { // Each field contains the list of dimensions appearing only in the specifed // arguments of the einsum op with natural ordering. For example `rhs_out` // contains the dimensions appearing in the RHS and the OUTPUT of the einsum // but not in the LHS. std::vector<int64_t> lhs; std::vector<int64_t> rhs; std::vector<std::tuple<int64_t, int64_t>> lhs_rhs;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 33.3K bytes - Viewed (0) -
tensorflow/cc/gradients/linalg_grad.cc
// Claim: For the einsum operation z = einsum("{eq_x},{eq_y}->{eq_z}", x, y), // where the equation involves only Tensor contractions, generalized traces // and transposes, the input gradients are given by the vector-jacobian // products (VJPs): // // grad_wrt_x = einsum("{eq_y},{eq_z}->{eq_x}", y, grad_wrt_z) // grad_wrt_y = einsum("{eq_x},{eq_z}->{eq_y}", x, grad_wrt_z} //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 07 23:11:54 UTC 2022 - 20.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.td
[], (addBenefit 10)>; // Converts inlined Einsum pattern to TF XlaDotV2 op. def ConvertTFEinsumToXLADotV2Op : Pat< (TF_EinsumOp:$einsum $args, $equation), (CreateXlaDotV2OpFromTfEinsumOp $equation, $args, $einsum), [(IsInt32ElementType $einsum), // Constraint to check: // 1. The einsum has two inputs and one output. // 2. The einsum is not created by the convert function itself.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Dec 10 05:52:02 UTC 2023 - 21.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.cc
if (!value_type.hasRank()) return false; if (!value_type.getElementType().isInteger(integer_width)) return false; return true; } // Constraint to check: // 1. The einsum has two inputs and one output. // 2. The einsum is not created by the convert function itself. // 3. Both inputs are int32 tensor. // 4. Both inputs have the graph ancestor of either const-(sub), or cast-sub.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 47.1K bytes - Viewed (0) -
testing/internal-testing/src/main/groovy/org/gradle/test/fixtures/file/TestFileHelper.groovy
// Check that each directory in hierarchy is present file.withInputStream { InputStream instr -> def dirs = [] as Set def zipStr = new ZipInputStream(instr) def entry while (entry = zipStr.getNextEntry()) { if (entry.directory) { assertTrue("Duplicate directory '$entry.name'", dirs.add(entry.name)) }
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Apr 04 07:21:38 UTC 2024 - 10.8K bytes - Viewed (0) -
subprojects/core/src/integTest/groovy/org/gradle/api/tasks/MissingTaskDependenciesIntegrationTest.groovy
settingsFile """ include "dist" include "lib" """ file("dist/build.gradle").text = """ abstract class ZipSrc extends DefaultTask { @Internal int countResolved @Internal abstract DirectoryProperty getSources() @InputFiles
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed May 15 08:14:44 UTC 2024 - 20.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test_base.py
tensor_spec.TensorSpec( shape=shape, dtype=dtypes.float32, name='input_tensor' ) ), ) return model # Prepares sample einsum input data shapes. # This function returns: # 1. Shape for input 1 # 2. Shape for input 2 # 3. Shape for bias # 4. Signature for input 1 (Could contain None dimension)
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/passes/lift_quantizable_spots_as_functions.cc
} if (!is_weight_constant) { if (!function_name.contains("matmul") && !function_name.contains("einsum")) { return absl::InternalError( "Non-constant weights are not supported at the moment," " except matmul and einsum."); } else if (!quant_options_.enable_two_input_tensors() && !is_unitwise_quantization_enabled) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 16.4K bytes - Viewed (0)