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Results 111 - 120 of 152 for conv2 (0.12 sec)
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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK-SAME: [[ARG:%.+]]: tensor<2x12x21x7xf16> // CHECK: [[CONV32:%.+]] = mhlo.convert %arg0 : (tensor<2x12x21x7xf16>) -> tensor<2x12x21x7xf32> // CHECK: [[ZERO:%.+]] = mhlo.constant dense<0.000000e+00> : tensor<f32> // CHECK: [[DIVIDEND:%.+]] = "mhlo.reduce_window"([[CONV32]], [[ZERO]]) // CHECK-SAME: window_dimensions = dense<[1, 2, 2, 1]>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
platforms/core-configuration/model-core/src/test/groovy/org/gradle/internal/instantiation/generator/AsmBackedClassGeneratorTest.java
Convention conv = new ExtensibleDynamicObject(this, DynamicObjectAwareBean.class, TestUtil.instantiatorFactory().decorateLenient()).getConvention(); public Convention getConvention() { return conv; } public ExtensionContainer getExtensions() { return conv; }
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Oct 05 19:36:14 UTC 2023 - 74.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tf_tfl_passes.cc
// Canonicalization includes const folding, which is utilized here to optimize // away ops that can't get constant folded after PrepareTF pass. For example, // tf.Conv2D is split into tf.Transpose and tfl.Conv2D. pass_manager->addNestedPass<mlir::func::FuncOp>( mlir::createCanonicalizerPass()); pass_manager->addNestedPass<mlir::func::FuncOp>(mlir::createCSEPass());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 25.5K bytes - Viewed (0) -
src/runtime/iface.go
// functions fail on a nil input. // convT converts a value of type t, which is pointed to by v, to a pointer that can // be used as the second word of an interface value. func convT(t *_type, v unsafe.Pointer) unsafe.Pointer { if raceenabled { raceReadObjectPC(t, v, getcallerpc(), abi.FuncPCABIInternal(convT)) } if msanenabled { msanread(v, t.Size_) } if asanenabled {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 29 17:58:53 UTC 2024 - 22.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant.mlir
// CHECK: %[[DEQUANTIZE:.*]] = "tfl.dequantize"(%[[QUANTIZE]]) // CHECK: %[[CONV:.*]] = "tfl.conv_2d"(%arg0, %[[DEQUANTIZE]], %[[CONSTANT]]) // CHECK: return %[[CONV]] } // CHECK-LABEL: perChannelFakeQuantWithConv2D func.func @perChannelFakeQuantWithConv2D(tensor<256x32x32x3xf32>) -> (tensor<256x8x7x16xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
%0 = "tf.Conv2D"(%arg0, %arg1) {padding = "SAME", strides = [1, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x16xf32>) -> tensor<256x30x30x16xf32> func.return %0 : tensor<256x30x30x16xf32> } // ----- func.func @testConv2D(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<3x3x3x16xf32>) -> tensor<256x30x30x16xf32> { // expected-error @+1 {{requires positive strides}}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_calibration_statistics_saver.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/async_while.mlir
%result = "tf.Select"(%cond, %out_matrix, %matrix) : (tensor<i1>, tensor<3x3xf32>, tensor<3x3xf32>) -> tensor<3x3xf32> %cond2 = "tf.Identity"(%cond) : (tensor<i1>) -> tensor<i1> %result2 = "tf.Select"(%cond2, %out_matrix2, %matrix_2) : (tensor<i1>, tensor<3x3xf32>, tensor<3x3xf32>) -> tensor<3x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 22.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/insert_weight_param.cc
const auto module_op = op->getParentOfType<ModuleOp>(); const SymbolTable symbol_table(module_op); func::FuncOp func = symbol_table.lookup<func::FuncOp>(function_name); if (function_name.contains("conv")) { return (*(func.getOps<mlir::stablehlo::ConvolutionOp>().begin())) .getDimensionNumbers() .getKernelOutputFeatureDimension(); } else if (function_name.contains("dot_general")) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py
), ) quantization.quantize_saved_model( self._input_saved_model_path, self._output_saved_model_path, config, ) expected_outputs = model.conv2d(input_data) root = load.load(self._output_saved_model_path) self.assertCountEqual(root.signatures.keys(), {'serving_default'}) new_outputs = root.signatures['serving_default'](
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0)