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subprojects/core/src/integTest/groovy/org/gradle/api/tasks/TaskParametersIntegrationTest.groovy
@Input String getInput() { count("inputValue") return "Input" } @Nested Object getBean() { count("nestedInput") return bean } @TaskAction void doStuff() { outputFile.text = inputFile.text
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue May 28 09:03:53 UTC 2024 - 36.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc
} } // Slice exactly the first shape dimension: // begin = [0] end = [1], strides = [1] auto begin = get_const_int(slice_op.getBegin(), /*expected_rank=*/1); auto end = get_const_int(slice_op.getEnd(), /*expected_rank=*/1); auto strides = get_const_int(slice_op.getStrides(), /*expected_rank=*/1); if (!begin.has_value() || !end.has_value() || !strides.has_value() || *begin != 0 || *end != 1 || *strides != 1)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 170.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc
if (offset && !IsOfRankedFloatTensorType(offset, 1)) return op.emitOpError("requires offset to be a 1D float tensor"); auto mean = GetRankedTensorTypeForOperand(op.getMean()); if (mean && !IsOfRankedFloatTensorType(mean, 1)) return op.emitOpError("requires mean to be a 1D float tensor"); auto variance = GetRankedTensorTypeForOperand(op.getVariance());
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/compiler/mlir/lite/ir/tfl_ops.cc
if (begin_type.getRank() != 1) return failure(); if (begin_type.getDimSize(0) > num_input_dims) return failure(); } if (auto end_type = op.getEnd().getType().dyn_cast<RankedTensorType>()) { if (end_type.getRank() != 1) return failure(); if (end_type.getDimSize(0) > num_input_dims) return failure(); } if (auto strides_type =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 169.2K bytes - Viewed (0)