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Results 1 - 5 of 5 for 7xf32 (0.17 sec)
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tensorflow/compiler/mlir/lite/experimental/tac/execution_metadata_exporter_test.cc
%2 = "tfl.add"(%arg0, %arg3) {fused_activation_function = "RELU6", per_device_costs = {CPU = 5.0 : f32, GPU = 1.0 : f32}, tac.device = "GPU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32> %3 = "tfl.pack"(%1, %2) {axis = 0 : i32, per_device_costs = {CPU = 2.0 : f32, GPU = -1.0 : f32}, values_count = 2 : i32, tac.device = "CPU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 06:11:34 UTC 2024 - 6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/odml_converter/tests/shlo_simplify.mlir
%1 = stablehlo.constant dense<[4.0, 6.0]> : tensor<2xf32> %2 = stablehlo.divide %0, %1 : tensor<2xf32> return %2 : tensor<2xf32> } // CHECK-LABEL: foldDivLHSSplat // CHECK: stablehlo.constant dense<[5.000000e-01, 0.333333343]> : tensor<2xf32> // ----- func.func @foldDivRHSSplat() -> tensor<2xf32> { %0 = stablehlo.constant dense<[4.0, 6.0]> : tensor<2xf32> %1 = stablehlo.constant dense<2.0> : tensor<2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 03:05:20 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow_to_stablehlo/tests/test_tf_to_stablehlo.mlir
// CHECK: %[[UDQ:.*]] = stablehlo.uniform_dequantize %[[BITCAST_CONVERT_1]] : (tensor<1x!quant.uniform<i8:f32, 1.000000e+00:3>>) -> tensor<1xf32> // CHECK: return %[[UDQ]] : tensor<1xf32> module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} { func.func @main(%arg0 : tensor<?xf32>) -> tensor<?xf32> { %scales = "tf.Const"() { value = dense<1.0> : tensor<f32> } : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 22:58:42 UTC 2024 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow_to_stablehlo/python/integration_test/tensorflow_to_stablehlo_test.py
module = ir.Module.parse(module_bytecode) self.assertIn('stablehlo.add %arg0, %cst : tensor<4xf32>', str(module)) def test_tf_mlir_to_stablehlo(self): assembly = """ module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} { func.func @main(%arg0 : tensor<?xf32>) -> tensor<?xf32> { %cst = "tf.Const"() {value = dense<1.0> : tensor<f32>} : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 22:58:42 UTC 2024 - 2.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/importer_test_min_max.cc
// CHECK-SAME: -> tensor<40x40xf32> // CHECK: %[[stat:.*]] = "quantfork.stats"(%arg0) <{layerStats = dense // CHECK-SAME: <[-1.000000e+00, 1.000000e+00]> : tensor<2xf32>}> // CHECK-SAME: : (tensor<40x37xf32>) -> tensor<40x37xf32> // CHECK-NEXT: %[[cst:.*]] = "tfl.pseudo_const"() <{value = dense< // CHECK-SAME: 1.000000e+00> : tensor<40xf32>}> : () -> tensor<40xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 6.8K bytes - Viewed (0)